├── .ipynb_checkpoints ├── Dogs_of_NYC-checkpoint.ipynb ├── Intro_to_EDA-checkpoint.ipynb └── More pandas-checkpoint.ipynb ├── 2015_Artist_Fellowship_Program.csv ├── 2015_City_Arts_Projects_Individual.csv ├── 2015_Upstart_Grants.csv ├── Dogs of NYC - WNYC.csv ├── Dogs_of_NYC.ipynb ├── Intro_to_EDA.ipynb ├── More pandas.ipynb ├── README.md └── Washington_DC_Public_Art.csv /.ipynb_checkpoints/Dogs_of_NYC-checkpoint.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": true 8 | }, 9 | "outputs": [], 10 | "source": [ 11 | "import numpy as np\n", 12 | "import pandas as pd\n", 13 | "import matplotlib.pyplot as plt\n", 14 | "# import seaborn as sns\n", 15 | "plt.style.use('ggplot')\n", 16 | "% matplotlib inline" 17 | ] 18 | }, 19 | { 20 | "cell_type": "code", 21 | "execution_count": 2, 22 | "metadata": { 23 | "collapsed": true 24 | }, 25 | "outputs": [], 26 | "source": [ 27 | "df = pd.read_csv('Dogs of NYC - WNYC.csv')" 28 | ] 29 | }, 30 | { 31 | "cell_type": "code", 32 | "execution_count": 3, 33 | "metadata": { 34 | "collapsed": false 35 | }, 36 | "outputs": [ 37 | { 38 | "data": { 39 | "text/html": [ 40 | "
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dog_namegenderbreedbirthdominant_colorsecondary_colorthird_colorspayed_or_neuteredguard_or_trainedboroughzip_code
0BuddyMAfghan HoundJan-00BRINDLEBLACKn/aYesNoManhattan10003
1NicoleFAfghan HoundJul-00BLACKn/an/aYesNoManhattan10021
2AbbyFAfghan HoundNov-00BLACKTANn/aYesNoManhattan10034
3ChloeFAfghan HoundJan-02WHITEBLONDn/aYesNoManhattan10024
4JazzleFAfghan HoundOct-02BLONDWHITEBLACKYesNoManhattan10022
\n", 131 | "
" 132 | ], 133 | "text/plain": [ 134 | " dog_name gender breed birth dominant_color secondary_color \\\n", 135 | "0 Buddy M Afghan Hound Jan-00 BRINDLE BLACK \n", 136 | "1 Nicole F Afghan Hound Jul-00 BLACK n/a \n", 137 | "2 Abby F Afghan Hound Nov-00 BLACK TAN \n", 138 | "3 Chloe F Afghan Hound Jan-02 WHITE BLOND \n", 139 | "4 Jazzle F Afghan Hound Oct-02 BLOND WHITE \n", 140 | "\n", 141 | " third_color spayed_or_neutered guard_or_trained borough zip_code \n", 142 | "0 n/a Yes No Manhattan 10003 \n", 143 | "1 n/a Yes No Manhattan 10021 \n", 144 | "2 n/a Yes No Manhattan 10034 \n", 145 | "3 n/a Yes No Manhattan 10024 \n", 146 | "4 BLACK Yes No Manhattan 10022 " 147 | ] 148 | }, 149 | "execution_count": 3, 150 | "metadata": {}, 151 | "output_type": "execute_result" 152 | } 153 | ], 154 | "source": [ 155 | "df.head()" 156 | ] 157 | }, 158 | { 159 | "cell_type": "code", 160 | "execution_count": 5, 161 | "metadata": { 162 | "collapsed": false 163 | }, 164 | "outputs": [], 165 | "source": [ 166 | "#get rid of some duplicates by making everything lower case\n", 167 | "df.dog_name = df.dog_name.str.lower()" 168 | ] 169 | }, 170 | { 171 | "cell_type": "code", 172 | "execution_count": 7, 173 | "metadata": { 174 | "collapsed": false 175 | }, 176 | "outputs": [ 177 | { 178 | "name": "stdout", 179 | "output_type": "stream", 180 | "text": [ 181 | "n/a 4025\n", 182 | "max 999\n", 183 | "bella 769\n", 184 | "lucky 710\n", 185 | "rocky 685\n", 186 | "coco 661\n", 187 | "buddy 599\n", 188 | "charlie 577\n", 189 | "princess 575\n", 190 | "lola 551\n", 191 | "Name: dog_name, dtype: int64\n" 192 | ] 193 | }, 194 | { 195 | "data": { 196 | "text/plain": [ 197 | "13802" 198 | ] 199 | }, 200 | "execution_count": 7, 201 | "metadata": {}, 202 | "output_type": "execute_result" 203 | } 204 | ], 205 | "source": [ 206 | "#check what names are most common\n", 207 | "print df.dog_name.value_counts()[:10]\n", 208 | "df.dog_name.nunique()" 209 | ] 210 | }, 211 | { 212 | "cell_type": "code", 213 | "execution_count": 15, 214 | "metadata": { 215 | "collapsed": false 216 | }, 217 | "outputs": [ 218 | { 219 | "data": { 220 | "text/plain": [ 221 | "" 222 | ] 223 | }, 224 | "execution_count": 15, 225 | "metadata": {}, 226 | "output_type": "execute_result" 227 | }, 228 | { 229 | "data": { 230 | "image/png": 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B7AFcCtwFnA98HTiwKwScDFwOfB64BvgxZU2OTm8G7qTcnXI58FXgHeMnm8W9Dmte83rK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\n4BhQEfGHwDuA5wP7Z+b3I+J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231 | "text/plain": [ 232 | "" 233 | ] 234 | }, 235 | "metadata": {}, 236 | "output_type": "display_data" 237 | } 238 | ], 239 | "source": [ 240 | "#plot the top five breeds of dogs\n", 241 | "df.breed.value_counts()[:5].plot(kind='bar')" 242 | ] 243 | }, 244 | { 245 | "cell_type": "code", 246 | "execution_count": 14, 247 | "metadata": { 248 | "collapsed": false 249 | }, 250 | "outputs": [ 251 | { 252 | "data": { 253 | "text/html": [ 254 | "
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guard_or_trainedNoYes
breed
Mixed/Other2315926
German Shepherd Dog119817
American Pit Bull Terrier/Pit Bull16539
Rottweiler7128
Chihuahua35968
Labrador Retriever26287
Shih Tzu47587
German Shepherd Crossbreed12576
Maltese29106
Cocker Spaniel14585
Jack Russell Terrier13614
Boxer8444
Yorkshire Terrier49114
Miniature Pinscher6113
Labrador Retriever Crossbreed16503
Bichon Frise10143
Poodle, Standard12783
Schnauzer, Miniature9262
Siberian Husky5852
Bull Dog, French8702
Lhasa Apso6962
American Pit Bull Mix / Pit Bull Mix8272
Boston Terrier8582
Beagle Crossbreed4172
Golden Retriever13392
Belgian Malinois342
Pomeranian14021
Doberman Pinscher2291
Dachshund, Long Haired951
Pug12831
.........
Australian Cattledog910
Akita Crossbreed370
Collie Crossbreed1610
Collie, Rough Coat230
Mastiff, Bull910
Collie, Smooth Coat180
Labradoodle3190
Kuvasz60
Keeshond270
Japanese Chin/Spaniel690
Irish Wolfhound160
Irish Setter330
Havanese9520
Greyhound1370
Great Pyrenees310
Great Dane1090
Gordon Setter60
Fila Brasileiro30
English Cocker Spaniel680
Dalmatian790
Dachshund, Wirehaired, Miniature310
Dachshund, Wirehaired320
Dachshund, Long Haired Miniature1030
Dachshund Smooth Coat Miniature2610
Dachshund Smooth Coat6560
Cotton De Tulear1200
Coonhound, Treeing Walker150
Coonhound, Blue Tick110
Coonhound, Black and Tan310
Irish Terrier230
\n", 576 | "

138 rows × 2 columns

\n", 577 | "
" 578 | ], 579 | "text/plain": [ 580 | "guard_or_trained No Yes\n", 581 | "breed \n", 582 | "Mixed/Other 23159 26\n", 583 | "German Shepherd Dog 1198 17\n", 584 | "American Pit Bull Terrier/Pit Bull 1653 9\n", 585 | "Rottweiler 712 8\n", 586 | "Chihuahua 3596 8\n", 587 | "Labrador Retriever 2628 7\n", 588 | "Shih Tzu 4758 7\n", 589 | "German Shepherd Crossbreed 1257 6\n", 590 | "Maltese 2910 6\n", 591 | "Cocker Spaniel 1458 5\n", 592 | "Jack Russell Terrier 1361 4\n", 593 | "Boxer 844 4\n", 594 | "Yorkshire Terrier 4911 4\n", 595 | "Miniature Pinscher 611 3\n", 596 | "Labrador Retriever Crossbreed 1650 3\n", 597 | "Bichon Frise 1014 3\n", 598 | "Poodle, Standard 1278 3\n", 599 | "Schnauzer, Miniature 926 2\n", 600 | "Siberian Husky 585 2\n", 601 | "Bull Dog, French 870 2\n", 602 | "Lhasa Apso 696 2\n", 603 | "American Pit Bull Mix / Pit Bull Mix 827 2\n", 604 | "Boston Terrier 858 2\n", 605 | "Beagle Crossbreed 417 2\n", 606 | "Golden Retriever 1339 2\n", 607 | "Belgian Malinois 34 2\n", 608 | "Pomeranian 1402 1\n", 609 | "Doberman Pinscher 229 1\n", 610 | "Dachshund, Long Haired 95 1\n", 611 | "Pug 1283 1\n", 612 | "... ... ...\n", 613 | "Australian Cattledog 91 0\n", 614 | "Akita Crossbreed 37 0\n", 615 | "Collie Crossbreed 161 0\n", 616 | "Collie, Rough Coat 23 0\n", 617 | "Mastiff, Bull 91 0\n", 618 | "Collie, Smooth Coat 18 0\n", 619 | "Labradoodle 319 0\n", 620 | "Kuvasz 6 0\n", 621 | "Keeshond 27 0\n", 622 | "Japanese Chin/Spaniel 69 0\n", 623 | "Irish Wolfhound 16 0\n", 624 | "Irish Setter 33 0\n", 625 | "Havanese 952 0\n", 626 | "Greyhound 137 0\n", 627 | "Great Pyrenees 31 0\n", 628 | "Great Dane 109 0\n", 629 | "Gordon Setter 6 0\n", 630 | "Fila Brasileiro 3 0\n", 631 | "English Cocker Spaniel 68 0\n", 632 | "Dalmatian 79 0\n", 633 | "Dachshund, Wirehaired, Miniature 31 0\n", 634 | "Dachshund, Wirehaired 32 0\n", 635 | "Dachshund, Long Haired Miniature 103 0\n", 636 | "Dachshund Smooth Coat Miniature 261 0\n", 637 | "Dachshund Smooth Coat 656 0\n", 638 | "Cotton De Tulear 120 0\n", 639 | "Coonhound, Treeing Walker 15 0\n", 640 | "Coonhound, Blue Tick 11 0\n", 641 | "Coonhound, Black and Tan 31 0\n", 642 | "Irish Terrier 23 0\n", 643 | "\n", 644 | "[138 rows x 2 columns]" 645 | ] 646 | }, 647 | "execution_count": 14, 648 | "metadata": {}, 649 | "output_type": "execute_result" 650 | } 651 | ], 652 | "source": [ 653 | "#quick comparison of what breeds are trained vs. not\n", 654 | "pd.crosstab(df.breed,df.guard_or_trained).sort_values('Yes', ascending=False)" 655 | ] 656 | }, 657 | { 658 | "cell_type": "markdown", 659 | "metadata": { 660 | "collapsed": true 661 | }, 662 | "source": [ 663 | "Stuck on what to do next? Here's a really thorough Pandas tutorial on the different ways in which you can approach the dataset: https://pandas.pydata.org/pandas-docs/stable/tutorials.html" 664 | ] 665 | }, 666 | { 667 | "cell_type": "code", 668 | "execution_count": null, 669 | "metadata": { 670 | "collapsed": true 671 | }, 672 | "outputs": [], 673 | "source": [] 674 | } 675 | ], 676 | "metadata": { 677 | "anaconda-cloud": {}, 678 | "kernelspec": { 679 | "display_name": "Python [conda root]", 680 | "language": "python", 681 | "name": "conda-root-py" 682 | }, 683 | "language_info": { 684 | "codemirror_mode": { 685 | "name": "ipython", 686 | "version": 2 687 | }, 688 | "file_extension": ".py", 689 | "mimetype": "text/x-python", 690 | "name": "python", 691 | "nbconvert_exporter": "python", 692 | "pygments_lexer": "ipython2", 693 | "version": "2.7.13" 694 | } 695 | }, 696 | "nbformat": 4, 697 | "nbformat_minor": 1 698 | } 699 | -------------------------------------------------------------------------------- /.ipynb_checkpoints/More pandas-checkpoint.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "### Here are a bunch more ways to use pandas to explore some interesting datasets. " 8 | ] 9 | }, 10 | { 11 | "cell_type": "code", 12 | "execution_count": null, 13 | "metadata": { 14 | "collapsed": true 15 | }, 16 | "outputs": [], 17 | "source": [ 18 | "import numpy as np\n", 19 | "import pandas as pd\n", 20 | "import matplotlib.pyplot as plt\n", 21 | "#import seaborn as sns\n", 22 | "plt.style.use('ggplot')\n", 23 | "% matplotlib inline" 24 | ] 25 | }, 26 | { 27 | "cell_type": "code", 28 | "execution_count": null, 29 | "metadata": { 30 | "collapsed": false, 31 | "scrolled": true 32 | }, 33 | "outputs": [], 34 | "source": [ 35 | "#import multiple dataframes\n", 36 | "drinks = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv')\n", 37 | "users = pd.read_table('https://raw.githubusercontent.com/justmarkham/DAT8/master/data/u.user', sep='|', index_col='user_id')\n", 38 | "ufo = pd.read_csv('https://raw.githubusercontent.com/planetsig/ufo-reports/master/csv-data/ufo-scrubbed-geocoded-time-standardized.csv')" 39 | ] 40 | }, 41 | { 42 | "cell_type": "code", 43 | "execution_count": null, 44 | "metadata": { 45 | "collapsed": false 46 | }, 47 | "outputs": [], 48 | "source": [ 49 | "#UFOs doesn't have column headings so we'll need to sort that out\n", 50 | "ufo.head()" 51 | ] 52 | }, 53 | { 54 | "cell_type": "code", 55 | "execution_count": null, 56 | "metadata": { 57 | "collapsed": true 58 | }, 59 | "outputs": [], 60 | "source": [ 61 | "#one way to do that is to create a list with the column names...\n", 62 | "columns = ['Date', 'City', 'State', 'Country', 'Shape', 'Duration (seconds)', 'Duration (hours/mins)', 'Description', 'Date_posted', 'Latitude', 'Longitude']" 63 | ] 64 | }, 65 | { 66 | "cell_type": "code", 67 | "execution_count": null, 68 | "metadata": { 69 | "collapsed": false 70 | }, 71 | "outputs": [], 72 | "source": [ 73 | "#...and specify that that list should be your column names when importing \n", 74 | "ufo = pd.read_csv('https://raw.githubusercontent.com/planetsig/ufo-reports/master/csv-data/ufo-scrubbed-geocoded-time-standardized.csv', names=columns)" 75 | ] 76 | }, 77 | { 78 | "cell_type": "code", 79 | "execution_count": null, 80 | "metadata": { 81 | "collapsed": false 82 | }, 83 | "outputs": [], 84 | "source": [ 85 | "#that's better\n", 86 | "ufo.head()" 87 | ] 88 | }, 89 | { 90 | "cell_type": "code", 91 | "execution_count": null, 92 | "metadata": { 93 | "collapsed": false 94 | }, 95 | "outputs": [], 96 | "source": [ 97 | "#pandas makes it easy for you to take a look at multiple columns at once\n", 98 | "ufo[['City', 'State']] " 99 | ] 100 | }, 101 | { 102 | "cell_type": "code", 103 | "execution_count": null, 104 | "metadata": { 105 | "collapsed": false 106 | }, 107 | "outputs": [], 108 | "source": [ 109 | "#there are also a bunch of ways to slice and dice a pandas dataframe to get the information you need. (and here's a great stackoverflow page on the merits of .loc vs. .iloc: https://stackoverflow.com/questions/31593201/pandas-iloc-vs-ix-vs-loc-explanation)\n", 110 | "#you can slice the rows to by specifying which ones you want to see. Here we're looking at the cities in rows 3 through 6 \n", 111 | "ufo.loc[3:6, 'City'] " 112 | ] 113 | }, 114 | { 115 | "cell_type": "code", 116 | "execution_count": null, 117 | "metadata": { 118 | "collapsed": false 119 | }, 120 | "outputs": [], 121 | "source": [ 122 | "#and here are the cities and states for rows three through six \n", 123 | "ufo.loc[3:6, ['City','State']]" 124 | ] 125 | }, 126 | { 127 | "cell_type": "code", 128 | "execution_count": null, 129 | "metadata": { 130 | "collapsed": true 131 | }, 132 | "outputs": [], 133 | "source": [ 134 | "# you can also do quite a bit of pre-processing in pandas\n", 135 | "#for example: mapping existing values to a different set of values\n", 136 | "users['is_male'] = users.gender.map({'F':0, 'M':1})" 137 | ] 138 | }, 139 | { 140 | "cell_type": "code", 141 | "execution_count": null, 142 | "metadata": { 143 | "collapsed": false 144 | }, 145 | "outputs": [], 146 | "source": [ 147 | "users" 148 | ] 149 | }, 150 | { 151 | "cell_type": "code", 152 | "execution_count": null, 153 | "metadata": { 154 | "collapsed": false 155 | }, 156 | "outputs": [], 157 | "source": [ 158 | "# when dealing with categorical data, you can also encode strings as integer values using .factorize (this automatically starts at 0)\n", 159 | "users.occupation.factorize()" 160 | ] 161 | }, 162 | { 163 | "cell_type": "code", 164 | "execution_count": null, 165 | "metadata": { 166 | "collapsed": false 167 | }, 168 | "outputs": [], 169 | "source": [ 170 | "#pandas lets you take a look at unique values in a column\n", 171 | "print(users.occupation.nunique()) # count the number of unique values\n", 172 | "users.occupation.unique() # return what those unique values are" 173 | ] 174 | }, 175 | { 176 | "cell_type": "code", 177 | "execution_count": null, 178 | "metadata": { 179 | "collapsed": true 180 | }, 181 | "outputs": [], 182 | "source": [ 183 | "# you can also do some data cleaning using pandas, like replacing all instances of a value in a column\n", 184 | "#here we're capitalizing TX\n", 185 | "ufo.State.replace('tx', 'TX', inplace=True)" 186 | ] 187 | }, 188 | { 189 | "cell_type": "code", 190 | "execution_count": null, 191 | "metadata": { 192 | "collapsed": false 193 | }, 194 | "outputs": [], 195 | "source": [ 196 | "ufo" 197 | ] 198 | }, 199 | { 200 | "cell_type": "code", 201 | "execution_count": null, 202 | "metadata": { 203 | "collapsed": false 204 | }, 205 | "outputs": [], 206 | "source": [ 207 | "#often, the data that needs the most cleaning are strings. you can access string methods using 'str'\n", 208 | "#so let's convert every state abbreviation to upper case\n", 209 | "ufo.State.str.upper() " 210 | ] 211 | }, 212 | { 213 | "cell_type": "code", 214 | "execution_count": null, 215 | "metadata": { 216 | "collapsed": false 217 | }, 218 | "outputs": [], 219 | "source": [ 220 | "#you can also use 'str' to query information\n", 221 | "#here we're checking the substrings within the 'Description' column\n", 222 | "ufo[ufo['Description'].str.contains('red')==True] " 223 | ] 224 | }, 225 | { 226 | "cell_type": "code", 227 | "execution_count": null, 228 | "metadata": { 229 | "collapsed": true 230 | }, 231 | "outputs": [], 232 | "source": [ 233 | "#you can also change information in one column based on something in another (this is particularly useful when you're doing some string cleaning)\n", 234 | "ufo.loc[ufo.Country == 'gb', 'State'] = \"some county idk probably the countryside\"" 235 | ] 236 | }, 237 | { 238 | "cell_type": "code", 239 | "execution_count": null, 240 | "metadata": { 241 | "collapsed": false 242 | }, 243 | "outputs": [], 244 | "source": [ 245 | "ufo" 246 | ] 247 | }, 248 | { 249 | "cell_type": "code", 250 | "execution_count": null, 251 | "metadata": { 252 | "collapsed": true 253 | }, 254 | "outputs": [], 255 | "source": [ 256 | "#you can also convert a string to the datetime format\n", 257 | "#FUN FACT: Pandas was created to help people handle stock information and that's why it has pretty gerat date time functionalities\n", 258 | "ufo['Date_posted'] = pd.to_datetime(ufo['Date_posted'])" 259 | ] 260 | }, 261 | { 262 | "cell_type": "code", 263 | "execution_count": null, 264 | "metadata": { 265 | "collapsed": true 266 | }, 267 | "outputs": [], 268 | "source": [ 269 | "#you can also pull out information like the year in the date time column\n", 270 | "ufo['Year'] = ufo.Date_posted.dt.year" 271 | ] 272 | }, 273 | { 274 | "cell_type": "code", 275 | "execution_count": null, 276 | "metadata": { 277 | "collapsed": true 278 | }, 279 | "outputs": [], 280 | "source": [ 281 | "#or the month\n", 282 | "ufo['Month'] = ufo.Date_posted.dt.month" 283 | ] 284 | }, 285 | { 286 | "cell_type": "code", 287 | "execution_count": null, 288 | "metadata": { 289 | "collapsed": false 290 | }, 291 | "outputs": [], 292 | "source": [ 293 | "ufo.head()" 294 | ] 295 | }, 296 | { 297 | "cell_type": "code", 298 | "execution_count": null, 299 | "metadata": { 300 | "collapsed": false, 301 | "scrolled": false 302 | }, 303 | "outputs": [], 304 | "source": [ 305 | "#you can use groupby statements to split data into groups based on some criteria, apply a function to that group, then combine the results of that function into a data structure\n", 306 | "#in this example, we're splitting information into years and countries with UFO sightings and then counting how many sightings there were in each year-country unit\n", 307 | "ufo.groupby('Year').Country.value_counts()" 308 | ] 309 | }, 310 | { 311 | "cell_type": "code", 312 | "execution_count": null, 313 | "metadata": { 314 | "collapsed": true 315 | }, 316 | "outputs": [], 317 | "source": [ 318 | "#what about plotting this bit of information to look at it visually?\n", 319 | "#we'll first take a stab at comparing countries over time\n", 320 | "ct_ufo = pd.crosstab(ufo.Year, ufo.Country)" 321 | ] 322 | }, 323 | { 324 | "cell_type": "code", 325 | "execution_count": null, 326 | "metadata": { 327 | "collapsed": false 328 | }, 329 | "outputs": [], 330 | "source": [ 331 | "ct_ufo" 332 | ] 333 | }, 334 | { 335 | "cell_type": "code", 336 | "execution_count": null, 337 | "metadata": { 338 | "collapsed": false 339 | }, 340 | "outputs": [], 341 | "source": [ 342 | "plt.plot(ct_ufo[:], linewidth=4.0)\n", 343 | "plt.legend(ct_ufo.columns)\n", 344 | "#change figure size\n", 345 | "fig_size = plt.rcParams[\"figure.figsize\"]\n", 346 | "fig_size[0] = 50\n", 347 | "fig_size[1] = 30\n", 348 | "plt.rcParams[\"figure.figsize\"] = fig_size\n", 349 | "#change font size\n", 350 | "font = {'family' : 'normal',\n", 351 | " 'weight' : 'bold',\n", 352 | " 'size' : 22}\n", 353 | "\n", 354 | "plt.rc('font', **font)" 355 | ] 356 | }, 357 | { 358 | "cell_type": "code", 359 | "execution_count": null, 360 | "metadata": { 361 | "collapsed": false, 362 | "scrolled": true 363 | }, 364 | "outputs": [], 365 | "source": [ 366 | "#you can also sort pandas dataframes by their index\n", 367 | "ufo.State.value_counts().sort_index()" 368 | ] 369 | }, 370 | { 371 | "cell_type": "code", 372 | "execution_count": null, 373 | "metadata": { 374 | "collapsed": false 375 | }, 376 | "outputs": [], 377 | "source": [ 378 | "#data cleaning often involves detecting duplicate rows -- here's a bunch of ways to do that\n", 379 | "#users.duplicated() #True if there are duplicates\n", 380 | "# users.duplicated().sum() # count of duplicates\n", 381 | "users[users.duplicated()] # only show duplicates\n", 382 | "# users.drop_duplicates() # drop duplicate rows\n", 383 | "# users.age.duplicated() # check a single column for duplicates\n", 384 | "# users.duplicated(['age', 'gender', 'zip_code']).sum() # specify columns for finding duplicates" 385 | ] 386 | }, 387 | { 388 | "cell_type": "code", 389 | "execution_count": null, 390 | "metadata": { 391 | "collapsed": false 392 | }, 393 | "outputs": [], 394 | "source": [ 395 | "#and sometimes, the easiest way to get a quick idea of the data is a cross-tabulation of two Series\n", 396 | "pd.crosstab(users.occupation, users.gender)" 397 | ] 398 | }, 399 | { 400 | "cell_type": "code", 401 | "execution_count": null, 402 | "metadata": { 403 | "collapsed": false 404 | }, 405 | "outputs": [], 406 | "source": [ 407 | "# alternative syntax for boolean filtering \n", 408 | "users.query('age < 20') # users[users.age < 20]\n", 409 | "users.query(\"age < 20 and gender=='M'\") # users[(users.age < 20) & (users.gender=='M')]\n", 410 | "users.query('age < 20 or age > 60') # users[(users.age < 20) | (users.age > 60)]" 411 | ] 412 | }, 413 | { 414 | "cell_type": "code", 415 | "execution_count": null, 416 | "metadata": { 417 | "collapsed": false 418 | }, 419 | "outputs": [], 420 | "source": [ 421 | "# display the memory usage of a DataFrame\n", 422 | "ufo.info() # total usage\n", 423 | "ufo.memory_usage() # usage by column" 424 | ] 425 | }, 426 | { 427 | "cell_type": "code", 428 | "execution_count": null, 429 | "metadata": { 430 | "collapsed": true 431 | }, 432 | "outputs": [], 433 | "source": [ 434 | "# change a Series to the 'category' data type (reduces memory usage and increases performance)\n", 435 | "ufo['State'] = ufo.State.astype('category')" 436 | ] 437 | }, 438 | { 439 | "cell_type": "code", 440 | "execution_count": null, 441 | "metadata": { 442 | "collapsed": true 443 | }, 444 | "outputs": [], 445 | "source": [ 446 | "# limit which rows are read when reading in a file\n", 447 | "pd.read_csv('drinks.csv', nrows=10) # only read first 10 rows\n", 448 | "pd.read_csv('drinks.csv', skiprows=[1, 2]) # skip the first two rows of data" 449 | ] 450 | }, 451 | { 452 | "cell_type": "code", 453 | "execution_count": null, 454 | "metadata": { 455 | "collapsed": true 456 | }, 457 | "outputs": [], 458 | "source": [ 459 | "# write a DataFrame out to a CSV\n", 460 | "drinks.to_csv('drinks_updated.csv') # index is used as first column\n", 461 | "drinks.to_csv('drinks_updated.csv', index=False) # ignore index" 462 | ] 463 | }, 464 | { 465 | "cell_type": "code", 466 | "execution_count": null, 467 | "metadata": { 468 | "collapsed": true 469 | }, 470 | "outputs": [], 471 | "source": [ 472 | "# save a DataFrame to disk (aka 'pickle') and read it from disk (aka 'unpickle')\n", 473 | "drinks.to_pickle('drinks_pickle')\n", 474 | "pd.read_pickle('drinks_pickle')" 475 | ] 476 | }, 477 | { 478 | "cell_type": "code", 479 | "execution_count": null, 480 | "metadata": { 481 | "collapsed": true 482 | }, 483 | "outputs": [], 484 | "source": [ 485 | "# randomly sample a DataFrame\n", 486 | "train = drinks.sample(frac=0.75, random_state=1) # will contain 75% of the rows\n", 487 | "test = drinks[~drinks.index.isin(train.index)] # will contain the other 25%\n" 488 | ] 489 | }, 490 | { 491 | "cell_type": "code", 492 | "execution_count": null, 493 | "metadata": { 494 | "collapsed": true 495 | }, 496 | "outputs": [], 497 | "source": [ 498 | "# change the maximum number of rows and columns printed ('None' means unlimited)\n", 499 | "pd.set_option('max_rows', None) # default is 60 rows\n", 500 | "pd.set_option('max_columns', None) # default is 20 columns\n", 501 | "print drinks" 502 | ] 503 | }, 504 | { 505 | "cell_type": "code", 506 | "execution_count": null, 507 | "metadata": { 508 | "collapsed": true 509 | }, 510 | "outputs": [], 511 | "source": [ 512 | "# reset options to defaults\n", 513 | "pd.reset_option('max_rows')\n", 514 | "pd.reset_option('max_columns')\n" 515 | ] 516 | }, 517 | { 518 | "cell_type": "code", 519 | "execution_count": null, 520 | "metadata": { 521 | "collapsed": true 522 | }, 523 | "outputs": [], 524 | "source": [ 525 | "# change the options temporarily (settings are restored when you exit the 'with' block)\n", 526 | "with pd.option_context('max_rows', None, 'max_columns', None):\n", 527 | " print drinks" 528 | ] 529 | }, 530 | { 531 | "cell_type": "code", 532 | "execution_count": null, 533 | "metadata": { 534 | "collapsed": false 535 | }, 536 | "outputs": [], 537 | "source": [ 538 | "#combine everything into one function that runs your most commonly used EDA calls for you\n", 539 | "def eda(dataframe):\n", 540 | " print (\"missing values \\n\", dataframe.isnull().sum())\n", 541 | " print (\"dataframe index \\n\", dataframe.index)\n", 542 | " print (\"dataframe types \\n\", dataframe.dtypes)\n", 543 | " print (\"dataframe shape \\n\", dataframe.shape)\n", 544 | " print (\"dataframe describe \\n\", dataframe.describe())\n", 545 | " for item in dataframe:\n", 546 | " print (item)\n", 547 | " print (dataframe[item].nunique())\n", 548 | "\n", 549 | "eda(ufo)" 550 | ] 551 | }, 552 | { 553 | "cell_type": "code", 554 | "execution_count": null, 555 | "metadata": { 556 | "collapsed": true 557 | }, 558 | "outputs": [], 559 | "source": [] 560 | } 561 | ], 562 | "metadata": { 563 | "anaconda-cloud": {}, 564 | "kernelspec": { 565 | "display_name": "Python [conda root]", 566 | "language": "python", 567 | "name": "conda-root-py" 568 | }, 569 | "language_info": { 570 | "codemirror_mode": { 571 | "name": "ipython", 572 | "version": 2 573 | }, 574 | "file_extension": ".py", 575 | "mimetype": "text/x-python", 576 | "name": "python", 577 | "nbconvert_exporter": "python", 578 | "pygments_lexer": "ipython2", 579 | "version": "2.7.13" 580 | } 581 | }, 582 | "nbformat": 4, 583 | "nbformat_minor": 1 584 | } 585 | -------------------------------------------------------------------------------- /2015_Artist_Fellowship_Program.csv: -------------------------------------------------------------------------------- 1 | X,Y,OBJECTID,FISCAL_YEAR,INDIVIDUAL,ORGANIZATION,ZIP_4,GRANT_CATEGORY,DISCIPLINE,GRANT_,URL,WARD 2 | -77.062525571970824,38.907899747467042,579,2015,Ingrid zimmer,Dumbarton Concerts,20007,Artist Fellowship Program,Multi-Disciplinary,18000,http://dumbartonconcerts.org,2 3 | -77.026644126341267,38.916863316754245,582,2015,Kea Taylor,,20001,Artist Fellowship Program,Photography: Including Holography,5000,,1 4 | -76.995008508572468,38.932840791103409,583,2015,Tamela Aldridge,"Only Make Believe, Inc",20017,Artist Fellowship Program,Theatre for Young Audience,7800,http://onlymakebelieve.org,5 5 | -76.980646218388245,38.931830905683263,584,2015,carmen torruella-quander,,20018,Artist Fellowship Program,Painting: Including Watercolors,5000,,5 6 | -76.997181019993164,38.837745313083275,587,2015,Abbey Chung,DC Creative Writing Workshop,20032,Artist Fellowship Program,Poetry,30000,http://dccww.org,8 7 | -76.923025130818061,38.903238038552864,588,2015,Maryam Foye,,20019,Artist Fellowship Program,Theatre,10000,,7 8 | -77.048344514126143,38.910739330821315,592,2015,Timothy Johnson,,20008,Artist Fellowship Program,Painting: Including Watercolors,7500,,2 9 | -76.994195279865565,38.937037181083973,593,2015,Daniel Vera,,20017,Artist Fellowship Program,Poetry,7500,,5 10 | -77.01571437185288,38.94376852618376,598,2015,Nekisha Durrett,,20011,Artist Fellowship Program,Visual Arts,10000,,4 11 | -76.958146696509914,38.863923569192714,602,2015,Mickey Terry,,20020-2415,Artist Fellowship Program,Solo/Recital,7500,,7 12 | -77.034750301876599,38.969740829677995,603,2015,Niki Herd,,20012,Artist Fellowship Program,Poetry,5000,,4 13 | -77.00703050494559,38.87953188337837,609,2015,Danielle Mohlman,,20003,Artist Fellowship Program,Playwriting,10000,,6 14 | -76.998063447655028,38.892171020369425,610,2015,Sarah Ewing,,20002,Artist Fellowship Program,Dance:Modern,3800,,6 15 | -77.022358871739073,38.942180814120931,612,2015,Jared Davis,,20011,Artist Fellowship Program,Visual Arts,10000,,4 16 | -77.017553519671253,38.897762562777231,618,2015,Gabriela Guerra,National Building Museum,20001,Artist Fellowship Program,Design Arts,19500,http://nbm.org,2 17 | -76.998067769011101,38.890086662749262,620,2015,John Copenhaver,,20003,Artist Fellowship Program,Fiction,7500,,6 18 | -77.029016568411222,38.90541702182972,621,2015,Trevelyan,DC Scores,20005,Artist Fellowship Program,Poetry,30000,http://DCSCORES.org,2 19 | -77.040705651995538,38.910245341650729,622,2015,Sondra Arkin,,20036,Artist Fellowship Program,Visual Arts,5000,,2 20 | -77.032806348741971,38.916073429772382,624,2015,Juan Mayer,,20009,Artist Fellowship Program,Sculpture,5000,,2 21 | -76.934590378370487,38.91004972457322,626,2015,Marion (Rik) Freeman,,20019,Artist Fellowship Program,Visual Arts,10000,,7 22 | -77.069810536369133,38.923869114612515,627,2015,Chloe Arnold,,20007,Artist Fellowship Program,Dance,5100,,3 23 | -77.01660167286046,38.972082542955192,628,2015,Mary Hanley,,20012,Artist Fellowship Program,Multi-Disciplinary,5000,,4 24 | -77.035247443786574,38.955074521239183,632,2015,Linn Meyers,,20011,Artist Fellowship Program,Visual Arts,10000,,4 25 | -77.081800386201778,38.920826431558233,633,2015,Christopher Dolan,,20007,Artist Fellowship Program,Painting: Including Watercolors,7500,,3 26 | -77.040021086143028,38.948805027745443,635,2015,Richard Cytowic,,20011,Artist Fellowship Program,Non-Fiction,10000,,4 27 | -77.040865973239832,38.920797109751419,636,2015,Molly Springfield,,20009,Artist Fellowship Program,Visual Arts,10000,,1 28 | -77.045542238781223,38.917356630928545,638,2015,Laura Zam,,20009,Artist Fellowship Program,Literature,10000,,1 29 | -77.040874764292624,38.929505089035629,640,2015,Ian Jehle,,20010,Artist Fellowship Program,Visual Arts,5000,,1 30 | -77.075129498827778,38.921162687615308,641,2015,Dana Flor,,20007,Artist Fellowship Program,Film,7500,,3 31 | -77.042845818811827,38.924248570601435,648,2015,Jessica Beels,,20009,Artist Fellowship Program,Visual Arts,10000,,1 32 | -77.020360420508283,38.877125619082108,651,2015,Julia Suszynski,"Washington Drama Society, Inc. (dba Arena Stage)",20024,Artist Fellowship Program,Theatre,30000,http://arenastage.org,6 33 | -77.041264653381219,38.92782093783066,653,2015,Sara Curtin,,20009,Artist Fellowship Program,Music,5000,,1 34 | -76.993688047633711,38.86228452050824,659,2015,Noura Hemady,Thurgood Marshall Academy,20020,Artist Fellowship Program,Interdisciplinary,3807,http://thurgoodmarshallacademy.org,8 35 | -77.042821317404858,38.91895564768312,661,2015,Edmund Baker,,20009,Artist Fellowship Program,Playwriting,5000,,1 36 | -76.992847344193635,38.894993140040611,663,2015,Tessa Moran,,20002,Artist Fellowship Program,Film,10000,,6 37 | -77.029054112598388,38.925978086800249,664,2015,Ellington Robinson,,20009,Artist Fellowship Program,Visual Arts,7500,,1 38 | -76.972730679189795,38.935990262840541,670,2015,Jennifer Nelson,,20018,Artist Fellowship Program,Theatre,10000,,5 39 | -77.093804605716585,38.926767411124011,672,2015,Kathryn McDonnell,,20007,Artist Fellowship Program,Visual Arts,5000,,3 40 | -77.015853667719682,38.96848952997977,675,2015,Anna Davis,,20012,Artist Fellowship Program,Visual Arts,7500,,4 41 | -77.028320529868878,38.934670926213343,676,2015,Joyce Wellman,,20010,Artist Fellowship Program,Visual Arts,5000,,1 42 | -77.020246065453577,38.936268694777723,677,2015,Regie Cabico,,20010,Artist Fellowship Program,Poetry,10000,,1 43 | -77.009761143798613,38.91352583636494,679,2015,Rania Hassan,,20001,Artist Fellowship Program,Visual Arts,5000,,5 44 | -77.034010044525758,38.949189692882122,681,2015,Davey Yarborough,,20011,Artist Fellowship Program,Music,5000,,4 45 | -77.08474326230035,38.949178698021079,697,2015,Rachel Snyder,,20016,Artist Fellowship Program,Literature,5000,,3 46 | -76.986407077209975,38.930253822151464,699,2015,Michael Janis,,20017,Artist Fellowship Program,Glass,10000,,5 47 | -77.028839329523478,38.927850698717577,700,2015,Anne Bouie,,20009,Artist Fellowship Program,Mixed Media,5000,,1 48 | -77.026670368018017,38.903475109754858,705,2015,Nicole Lee,,20001,Artist Fellowship Program,Literature,9000,,2 49 | -76.984276733533306,38.896558045310051,706,2015,Cheryl Edwards,,20002,Artist Fellowship Program,Painting: Including Watercolors,5000,,6 50 | -77.042545346008097,38.931683963474512,708,2015,Lance Kramer,,20010,Artist Fellowship Program,Film,5000,,1 51 | -77.014275577442334,38.952466655121057,710,2015,Tamela Aldridge,,20011,Artist Fellowship Program,Theatre,5000,,4 52 | -76.953884981200531,38.874347306630142,712,2015,James Byers,,20019,Artist Fellowship Program,Audio: Including Radio and Sound Installations,5000,,7 53 | -77.042148921584271,38.931233241243184,714,2015,Paul Emerson,,20010,Artist Fellowship Program,Dance:Modern,5100,,1 54 | -77.021713735962805,38.895659941506949,718,2015,Beth Judy,Washington Architectural Foundation at District Architecture Center,20004,Artist Fellowship Program,Architecture,7500,http://wafonline.org,2 55 | -77.012605806348844,38.881642350887958,722,2015,Elizabeth Acevedo,,20024,Artist Fellowship Program,Poetry,10000,,6 56 | -77.083508936083504,38.958372619276489,723,2015,Noah Getz,,20015,Artist Fellowship Program,Music,10000,,3 57 | -77.069488374045278,38.952670370100336,726,2015,Jennifer Clements,,20008,Artist Fellowship Program,Literature,7000,,3 58 | -77.026767585178789,38.957620974759507,731,2015,Lynn Welters,,20011,Artist Fellowship Program,Dance:Ballet,3800,,4 59 | -76.98758701998068,38.878612309285536,737,2015,Farah Harris,,20003,Artist Fellowship Program,Theatre,10000,,6 60 | -77.033095477842664,38.912930789804058,739,2015,Michael Sirvet,,20009,Artist Fellowship Program,Sculpture,10000,,2 61 | -76.996237348587755,38.947112406377549,740,2015,Khanh Le,,20017,Artist Fellowship Program,Visual Arts,7500,,5 62 | -77.073521544136625,38.926433579907965,742,2015,joyce winslow,,20007,Artist Fellowship Program,Fiction,9000,,3 63 | -77.102237526186272,38.929486525745659,743,2015,Thomas Beveridge,,20016,Artist Fellowship Program,Choral Music,5000,,3 64 | -77.071516243480758,38.959514980618586,744,2015,Mary Kay Zuravleff,,20015-1808,Artist Fellowship Program,Fiction,9000,,3 65 | -77.01047154124818,38.916032344396939,746,2015,Marta Perez Garcia,,20001,Artist Fellowship Program,Graphics: Including Printmaking and book arts,5000,,5 66 | -77.025816010960654,38.976205471546571,747,2015,Marjuan Canady,,20012,Artist Fellowship Program,Multi-Disciplinary,5000,,4 67 | -77.0203689897006,38.880498990920437,749,2015,Mary Early,,20024,Artist Fellowship Program,Sculpture,7500,,6 68 | -77.065891288063284,38.949237056356445,750,2015,Tatyana Safronova,,20008,Artist Fellowship Program,Media Arts,5000,,3 69 | -77.035294975244483,38.914288333307951,753,2015,Allison Stockman,,20009,Artist Fellowship Program,Theatre,7500,,2 70 | -77.039922893603332,38.926914626817236,758,2015,Jarvis Grant,,20009,Artist Fellowship Program,Photography: Including Holography,5000,,1 71 | -77.054194750748707,38.92749928488805,764,2015,Adam Davies,,20008,Artist Fellowship Program,Photography: Including Holography,10000,,3 72 | -76.989137433736261,38.865802242844772,769,2015,Christie Walser,Project Create,20020,Artist Fellowship Program,Multi-Disciplinary,30000,http://projectcreatedc.org,8 73 | -77.047616057482912,38.920762574578667,770,2015,Monica Bose,,20009,Artist Fellowship Program,Visual Arts,5100,,1 74 | -77.01568007471306,38.962528975299634,775,2015,Janet Jones Bann,Hope House,20011,Artist Fellowship Program,Multi-Disciplinary,22750,http://hopehousedc.org,4 75 | -77.026227286238196,38.902762018556686,776,2015,Khala Johnson,KIPP DC,20001,Artist Fellowship Program,Music,5000,http://kippdc.org,2 76 | -77.034608278340528,38.928454401309949,778,2015,Thomas Colohan,,20010,Artist Fellowship Program,Choral Music,10000,,1 77 | -77.08550785477658,38.95722757503669,779,2015,Cory Oberndorfer,,20015,Artist Fellowship Program,Visual Arts,5000,,3 78 | -76.996402032763356,38.881499292229002,780,2015,Jill Strachan,Capitol Hill Arts Workshop,20003,Artist Fellowship Program,Multi-Disciplinary,27500,http://chaw.org,6 79 | -76.988008152236702,38.899080199184894,786,2015,Fawna Xiao,,20002,Artist Fellowship Program,Graphics: Including Printmaking and book arts,5000,,6 80 | -76.990074227898674,38.904826193425393,787,2015,Taurus Broadhurst,,20002,Artist Fellowship Program,Dance:Modern,3800,,5 81 | -77.019522858591557,38.881479068177192,791,2015,Cecilia Cackley,,20024,Artist Fellowship Program,Puppetry,5000,,6 82 | -77.081964744464727,38.919340572363389,794,2015,Sarah Browning,,20007,Artist Fellowship Program,Poetry,9000,,3 83 | -77.036812291721233,38.931320893237391,795,2015,Maureen Dizon,Mundo Verde Bilingual Public Charter School,20010,Artist Fellowship Program,Multi-Disciplinary,14640,http://mundoverdepcs.org,1 84 | -76.993508232932442,38.892198331649844,796,2015,Frederic Yonnet,,20002,Artist Fellowship Program,Music,10000,,6 85 | -77.012760804115615,38.972400835799675,798,2015,Maureen Andary,,20012,Artist Fellowship Program,Music,5000,,4 86 | -77.023630880073839,38.95274682696725,799,2015,martine workman,,20011,Artist Fellowship Program,Visual Arts,10000,,4 87 | -77.031678299443413,38.931926404697961,800,2015,Jane Remick,,20010,Artist Fellowship Program,Interdisciplinary,7500,,1 88 | -77.064126129580899,38.933715217350404,802,2015,Rex Weil,,20008,Artist Fellowship Program,Visual Arts,5000,,3 89 | -77.024912104525427,38.898124442411472,804,2015,Tim Tate,,20001,Artist Fellowship Program,Sculpture,10000,,2 90 | -77.013298038343578,38.965875565562605,806,2015,Samuel Miranda,,20011,Artist Fellowship Program,Poetry,5000,,4 91 | -77.033033361884094,38.933686703043044,810,2015,Nathaniel Lewis,,20010,Artist Fellowship Program,Visual Arts,5000,,1 92 | -77.036178217550884,38.904071067309026,858,2015,Dannie Greenberg,"CityDance, Inc. ",20036,Artist Fellowship Program,Dance,32500,http://citydance.net,2 93 | -77.036960307493217,38.9042627004388,861,2015,Sarah Browning,"Split This Rock, Inc.",20036,Artist Fellowship Program,Poetry,325000,http://splitthisrock.org,2 94 | -77.012922548358631,38.916795915601242,865,2015,Assane Konte,,20001,Artist Fellowship Program,Dance,3800,,5 95 | -76.989877707276406,38.898715627520069,868,2015,Margot Greenlee,,20002,Artist Fellowship Program,Theatre for Young Audience,6500,,6 96 | -77.029163689540994,38.900056472681761,879,2015,Ellen Pollak,National Museum of Women in the Arts,20005,Artist Fellowship Program,Visual Arts,10800,http://nmwa.org,2 97 | -76.987219242042968,38.899980321081834,884,2015,Julia Cain,"Joy of Motion Dance Center, Inc.",20002,Artist Fellowship Program,Dance,14703,http://joyofmotion.org,6 98 | -77.046854545903884,38.911509790861587,909,2015,Christine Hollins,The Phillips Collection,20009,Artist Fellowship Program,Visual Arts,30000,http://phillipscollection.org,2 99 | -76.979686564178522,38.890410115127153,912,2015,Liz Schurgin,DC Youth Orchestra Program,20003-1622,Artist Fellowship Program,Orchestral: Includes Symphonic and Orchestral,30000,http://dcyop.org,6 100 | -77.039123503082294,38.920923552468267,915,2015,Zachary Clark,Patricia M. Sitar Center for the Arts,20009,Artist Fellowship Program,Multi-Disciplinary,30000,http://sitarartscenter.org,1 101 | -77.002769787135961,38.889440835284972,935,2015,Emma Snyder,Pen/Faulkner Foundation,20003,Artist Fellowship Program,Literature,30000,http://penfaulkner.org,6 102 | -77.002769787135961,38.889440835284972,936,2015,Connie Perez,Folger Shakespeare Library,20003,Artist Fellowship Program,Multi-Disciplinary,19500,http://folger.edu/,6 103 | -77.049322335760152,38.910343005389699,944,2015,Tara Libert,Free Minds Book Club & Writing Workshop,20037,Artist Fellowship Program,Literature,30000,http://freemindsbookclub.org,2 104 | -77.036829331448303,38.921886207098403,951,2015,Holly Bass,,20009,Artist Fellowship Program,Interdisciplinary,6500,,1 105 | -77.034922739063205,38.922488908863293,954,2015,Rajeev Hawah Kasat,"One Common Unity, Inc.",20009,Artist Fellowship Program,Multi-Disciplinary,15000,http://onecommonunity.org,1 106 | -77.034922739063205,38.922488908863293,955,2015,Rebecca Medrano,"GALA Inc, Grupo de Artistas Latinoamericanos",20009-9209,Artist Fellowship Program,Theatre,32500,http://galatheatre.org,1 107 | -77.034922739063205,38.922488908863293,956,2015,,"Young Playwrights' Theatre, Inc.",20009,Artist Fellowship Program,Theatre,40000,http://yptdc.org,1 108 | -77.055718446248306,38.895919282256102,966,2015,Madeleine Odendahl,John F. Kennedy Center for the Performing Arts,20566,Artist Fellowship Program,Multi-Disciplinary,32500,http://kennedy-center.org/,2 109 | -77.056519927325951,38.943037506818946,971,2015,Briana Maley,The Selma M. Levine School of Music (Levine School of Music),20008-3829,Artist Fellowship Program,Music,27500,http://levineschool.org,3 110 | -77.022762835843793,38.947623902490285,975,2015,Rachel Grossman,"Dog and Pony DC, Inc.",20011,Artist Fellowship Program,Theatre,10000,http://dogandponydc.com,4 111 | -76.994749737723879,38.930716800992982,985,2015,Rachel Kerwin,,20017,Artist Fellowship Program,Multi-Disciplinary,5000,,5 112 | -77.032960664236938,38.931613641938576,987,2015,Fabian Barnes,Dance Institute of Washington Inc,20010-3514,Artist Fellowship Program,Dance,18000,http://danceinstituteofwashington.org,1 113 | -77.073257749309562,38.936939327564161,991,2015,Lauren Hallford,The Washington Ballet,20016,Artist Fellowship Program,Dance,30000,http://washingtonballet.org,3 114 | -77.033501330650409,38.938208917167593,995,2015,Christylez Bacon,,20011,Artist Fellowship Program,Music,7500,,4 115 | -76.943596574847803,38.892817103112684,997,2015,Tony Small,Boys & Girls Clubs of Greater Washington,20019,Artist Fellowship Program,Multi-Disciplinary,28500,http://bgcgw.org,7 116 | -77.026330467699466,38.946452617186083,1000,2015,Daniel Singh,,20011,Artist Fellowship Program,Dance:Ethnic/Jazz,6500,http://dakshina.org,4 117 | -77.026285694372092,38.896704062761245,1004,2015,Katherine Makris,Ford's Theatre Society,20004,Artist Fellowship Program,Interdisciplinary,30000,http://fords.org,2 118 | -76.994610739977901,38.882098641559516,1005,2015,Meghann Babo,The Shakespeare Theatre,20003,Artist Fellowship Program,Theatre,32500,http://ShakespeareTheatre.org,6 119 | -77.084089425841952,38.958389138757774,1008,2015,Thomas Carter,Thelonious Monk Institute of Jazz,20015,Artist Fellowship Program,Jazz Music,30000,http://monkinstitute.org,3 120 | -77.020246065453577,38.936268694777723,1021,2015,Kim Roberts,,20010,Artist Fellowship Program,Poetry,7000,,1 121 | -77.02269724862326,38.899241480329664,1030,2015,Deb Gottesman,The Theatre Lab School of the Dramatic Arts,20001-3721,Artist Fellowship Program,Theatre,30000,http://theatrelab.org,2 122 | -77.024912104525427,38.898124442411472,1037,2015,Gediyon Kifle,,20001,Artist Fellowship Program,Photography: Including Holography,7500,,2 123 | -77.025990248282298,38.888816127870406,1042,2015,J. Scott Robinson,Smithsonian Institution ,,Artist Fellowship Program,Theatre for Young Audience,27000,http://si.edu,2 124 | -77.034356770880166,38.967753907610081,1044,2015,Evangeline Montgomery,,,Artist Fellowship Program,Visual Arts,7500,,1 125 | -77.033309792868906,38.927203073272217,1045,2015,Alonzo Watkins,CentroNia,,Artist Fellowship Program,Multi-Disciplinary,30000,http://centronia.org,1 126 | -77.038324432998905,38.932208085865582,1046,2015,Dawne Langford,,,Artist Fellowship Program,Media Arts,7500,,1 127 | -77.054981676074732,38.967202290840923,1047,2015,Emiliano Ruprah,,,Artist Fellowship Program,Visual Arts,5000,,4 128 | -77.073636572654323,38.925353860269915,1049,2015,Mike Osborne,,,Artist Fellowship Program,Photography: Including Holography,10000,,3 129 | -77.010841513695652,38.916458585004285,1050,2015,Jonathan Monaghan,,,Artist Fellowship Program,Experimental: Including Conceptual and New Media,10000,,5 130 | -------------------------------------------------------------------------------- /2015_City_Arts_Projects_Individual.csv: -------------------------------------------------------------------------------- 1 | X,Y,OBJECTID,FISCAL_YEAR,INDIVIDUAL,ORGANIZATION,ZIP_4,GRANT_CATEGORY,DISCIPLINE,GRANT_,URL,WARD 2 | -77.033016516907921,38.93291442576119,657,2015,Edward Daniels,,20010,City Arts Projects (Individual),Theatre,8000,,1 3 | -77.00137195689922,38.84687450099667,680,2015,Dwayne Lawson-Brown,,20032,City Arts Projects (Individual),Poetry,7350,http://crochetkingpin.com,8 4 | -77.029105248244491,38.960279024193646,692,2015,Denaise Seals,,20011-2823,City Arts Projects (Individual),Video,4050,http://slingshotvideo.com,4 5 | -76.93776257403087,38.903857495265321,693,2015,Shawn Short,,20019,City Arts Projects (Individual),Dance,7500,http://ddtdc.org,7 6 | -77.014495924606862,38.909851563042515,716,2015,Sandra Johnson,,20001,City Arts Projects (Individual),Jazz Music,8000,http://sandrayjohnson.com,5 7 | -76.978790670850302,38.854916305722305,720,2015,Stanice Anderson,,20020,City Arts Projects (Individual),Non-Fiction,4500,,8 8 | -77.064337216418778,38.912904611448177,724,2015,Mia Choumenkovitch,,20007,City Arts Projects (Individual),Visual Arts,10000,,2 9 | -77.032325290854658,38.965947612708142,725,2015,Robert Bettmann,,20011,City Arts Projects (Individual),Humanities,5950,,4 10 | -77.041232205756359,38.915804293684417,732,2015,Will Stephens,,20009,City Arts Projects (Individual),Music,10000,,2 11 | -76.993396065202091,38.902278685519413,741,2015,Stephen Spotswood,,20002,City Arts Projects (Individual),Theatre,8000,,6 12 | -76.986146376022532,38.858157381339183,771,2015,John Johnson,,20020,City Arts Projects (Individual),Theatre,7000,,8 13 | -76.992190869849637,38.935979760267777,853,2015,Joy Jones,,20017,City Arts Projects (Individual),Literature,6850,http://joyjonesonline.com,5 14 | -77.040008541380217,38.924193634763355,917,2015,Ruth Stenstrom,,20009-2847,City Arts Projects (Individual),Visual Arts,10000,http://ruthstenstrom.com,1 15 | -77.047616057482912,38.920762574578667,940,2015,Monica Bose,,20009,City Arts Projects (Individual),Visual Arts,10000,,1 16 | -77.036829331448303,38.921886207098403,952,2015,Holly Bass,,20009,City Arts Projects (Individual),Interdisciplinary,10000,,1 17 | -77.064126129580899,38.933715217350404,978,2015,Rex Weil,,20008,City Arts Projects (Individual),Visual Arts,8000,http://rexweil.com,3 18 | -76.994749737723879,38.930716800992982,986,2015,Jack Gordon,,20017,City Arts Projects (Individual),Multi-Disciplinary,7200,http://jackontheroad.com,5 19 | -77.069810536369133,38.923869114612515,990,2015,Maud Arnold,,20007,City Arts Projects (Individual),Dance,10000,,3 20 | -77.033501330650409,38.938208917167593,996,2015,Christylez Bacon,,20011,City Arts Projects (Individual),Music,10000,http://christylez.com,4 21 | -77.08550785477658,38.95722757503669,999,2015,Cory Oberndorfer,,20015,City Arts Projects (Individual),Visual Arts,7000,,3 22 | -77.026330467699466,38.946452617186083,1001,2015,Daniel Singh,,20011,City Arts Projects (Individual),Dance:Ethnic/Jazz,8000,http://dakshina.org,4 23 | -77.020246065453577,38.936268694777723,1022,2015,Regie Cabico,,20010,City Arts Projects (Individual),Poetry,5600,http://thedccenter.org/capturingfire,1 24 | -77.020246065453577,38.936268694777723,1023,2015,Kim Roberts,,20010,City Arts Projects (Individual),Poetry,4000,http://beltwaypoetry.com,1 25 | -76.993532192713786,38.929261807717687,1036,2015,Andrene Taylor,,20017,City Arts Projects (Individual),Interdisciplinary,8000,,5 26 | -------------------------------------------------------------------------------- /2015_Upstart_Grants.csv: -------------------------------------------------------------------------------- 1 | X,Y,OBJECTID,FISCAL_YEAR,APPLICANT,ORGANIZATION,ADDRESS,ADDRESS2,ZIP_4,GRANT_CATEGORY,DISCIPLINE,GRANT_,URL,WARD 2 | -77.035750126731429,38.933487270459437,906,2015,Mazi Mutafa,Words Beats and Life Inc,1525 NEWTON STREET NW,,20010,Upstart,Multi-Disciplinary,75000,http://wblinc.org,1 3 | -77.035750126731429,38.933487270459437,907,2015,Amy Saidman,Washington Storytellers Theatre DBA SpeakeasyDC,1525 NEWTON STREET NW,,20010,Upstart,Oral Traditions,75000,http://speakeasydc.org,1 4 | -77.031586020134128,38.915210677433677,925,2015,Allison Stockman,Constellation Theatre Company,1835 14TH STREET NW,,20009,Upstart,Theatre,75000,http://constellationtheatre.org/index.html,1 5 | -77.031586020134128,38.915210677433677,926,2015,Mark Chalfant,Washington Improvisational Theater Company,1835 14TH STREET NW,,20009-4425,Upstart,Theatre,75000,http://washingtonimprovtheater.com,1 6 | -77.032146690811302,38.930171187871615,984,2015,Callahan,826DC,3233 14TH STREET NW,,20010,Upstart,Literature,75000,http://826dc.org,1 7 | -77.020345558688447,38.903776270644009,1020,2015,Caitlin Wood,Capital Fringe Inc.,607 NEW YORK AVENUE NW,,20001,Upstart,Multi-Disciplinary,75000,http://capitalfringe.org,6 8 | -------------------------------------------------------------------------------- /Dogs_of_NYC.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": true 8 | }, 9 | "outputs": [], 10 | "source": [ 11 | "import numpy as np\n", 12 | "import pandas as pd\n", 13 | "import matplotlib.pyplot as plt\n", 14 | "# import seaborn as sns\n", 15 | "plt.style.use('ggplot')\n", 16 | "% matplotlib inline" 17 | ] 18 | }, 19 | { 20 | "cell_type": "code", 21 | "execution_count": 2, 22 | "metadata": { 23 | "collapsed": true 24 | }, 25 | "outputs": [], 26 | "source": [ 27 | "df = pd.read_csv('Dogs of NYC - WNYC.csv')" 28 | ] 29 | }, 30 | { 31 | "cell_type": "code", 32 | "execution_count": 3, 33 | "metadata": { 34 | "collapsed": false 35 | }, 36 | "outputs": [ 37 | { 38 | "data": { 39 | 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dog_namegenderbreedbirthdominant_colorsecondary_colorthird_colorspayed_or_neuteredguard_or_trainedboroughzip_code
0BuddyMAfghan HoundJan-00BRINDLEBLACKn/aYesNoManhattan10003
1NicoleFAfghan HoundJul-00BLACKn/an/aYesNoManhattan10021
2AbbyFAfghan HoundNov-00BLACKTANn/aYesNoManhattan10034
3ChloeFAfghan HoundJan-02WHITEBLONDn/aYesNoManhattan10024
4JazzleFAfghan HoundOct-02BLONDWHITEBLACKYesNoManhattan10022
\n", 131 | "
" 132 | ], 133 | "text/plain": [ 134 | " dog_name gender breed birth dominant_color secondary_color \\\n", 135 | "0 Buddy M Afghan Hound Jan-00 BRINDLE BLACK \n", 136 | "1 Nicole F Afghan Hound Jul-00 BLACK n/a \n", 137 | "2 Abby F Afghan Hound Nov-00 BLACK TAN \n", 138 | "3 Chloe F Afghan Hound Jan-02 WHITE BLOND \n", 139 | "4 Jazzle F Afghan Hound Oct-02 BLOND WHITE \n", 140 | "\n", 141 | " third_color spayed_or_neutered guard_or_trained borough zip_code \n", 142 | "0 n/a Yes No Manhattan 10003 \n", 143 | "1 n/a Yes No Manhattan 10021 \n", 144 | "2 n/a Yes No Manhattan 10034 \n", 145 | "3 n/a Yes No Manhattan 10024 \n", 146 | "4 BLACK Yes No Manhattan 10022 " 147 | ] 148 | }, 149 | "execution_count": 3, 150 | "metadata": {}, 151 | "output_type": "execute_result" 152 | } 153 | ], 154 | "source": [ 155 | "df.head()" 156 | ] 157 | }, 158 | { 159 | "cell_type": "code", 160 | "execution_count": 5, 161 | "metadata": { 162 | "collapsed": false 163 | }, 164 | "outputs": [], 165 | "source": [ 166 | "#get rid of some duplicates by making everything lower case\n", 167 | "df.dog_name = df.dog_name.str.lower()" 168 | ] 169 | }, 170 | { 171 | "cell_type": "code", 172 | "execution_count": 7, 173 | "metadata": { 174 | "collapsed": false 175 | }, 176 | "outputs": [ 177 | { 178 | "name": "stdout", 179 | "output_type": "stream", 180 | "text": [ 181 | "n/a 4025\n", 182 | "max 999\n", 183 | "bella 769\n", 184 | "lucky 710\n", 185 | "rocky 685\n", 186 | "coco 661\n", 187 | "buddy 599\n", 188 | "charlie 577\n", 189 | "princess 575\n", 190 | "lola 551\n", 191 | "Name: dog_name, dtype: int64\n" 192 | ] 193 | }, 194 | { 195 | "data": { 196 | "text/plain": [ 197 | "13802" 198 | ] 199 | }, 200 | "execution_count": 7, 201 | "metadata": {}, 202 | "output_type": "execute_result" 203 | } 204 | ], 205 | "source": [ 206 | "#check what names are most common\n", 207 | "print df.dog_name.value_counts()[:10]\n", 208 | "df.dog_name.nunique()" 209 | ] 210 | }, 211 | { 212 | "cell_type": "code", 213 | "execution_count": 15, 214 | "metadata": { 215 | "collapsed": false 216 | }, 217 | "outputs": [ 218 | { 219 | "data": { 220 | "text/plain": [ 221 | "" 222 | ] 223 | }, 224 | "execution_count": 15, 225 | "metadata": {}, 226 | "output_type": "execute_result" 227 | }, 228 | { 229 | "data": { 230 | "image/png": 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B7AFcCtwFnA98HTiwKwScDFwOfB64BvgxZU2OTm8G7qTcnXI58FXgHeMnm8W9Dmte83rK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\n4BhQEfGHwDuA5wP7Z+b3I+J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231 | "text/plain": [ 232 | "" 233 | ] 234 | }, 235 | "metadata": {}, 236 | "output_type": "display_data" 237 | } 238 | ], 239 | "source": [ 240 | "#plot the top five breeds of dogs\n", 241 | "df.breed.value_counts()[:5].plot(kind='bar')" 242 | ] 243 | }, 244 | { 245 | "cell_type": "code", 246 | "execution_count": 14, 247 | "metadata": { 248 | "collapsed": false 249 | }, 250 | "outputs": [ 251 | { 252 | "data": { 253 | "text/html": [ 254 | "
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guard_or_trainedNoYes
breed
Mixed/Other2315926
German Shepherd Dog119817
American Pit Bull Terrier/Pit Bull16539
Rottweiler7128
Chihuahua35968
Labrador Retriever26287
Shih Tzu47587
German Shepherd Crossbreed12576
Maltese29106
Cocker Spaniel14585
Jack Russell Terrier13614
Boxer8444
Yorkshire Terrier49114
Miniature Pinscher6113
Labrador Retriever Crossbreed16503
Bichon Frise10143
Poodle, Standard12783
Schnauzer, Miniature9262
Siberian Husky5852
Bull Dog, French8702
Lhasa Apso6962
American Pit Bull Mix / Pit Bull Mix8272
Boston Terrier8582
Beagle Crossbreed4172
Golden Retriever13392
Belgian Malinois342
Pomeranian14021
Doberman Pinscher2291
Dachshund, Long Haired951
Pug12831
.........
Australian Cattledog910
Akita Crossbreed370
Collie Crossbreed1610
Collie, Rough Coat230
Mastiff, Bull910
Collie, Smooth Coat180
Labradoodle3190
Kuvasz60
Keeshond270
Japanese Chin/Spaniel690
Irish Wolfhound160
Irish Setter330
Havanese9520
Greyhound1370
Great Pyrenees310
Great Dane1090
Gordon Setter60
Fila Brasileiro30
English Cocker Spaniel680
Dalmatian790
Dachshund, Wirehaired, Miniature310
Dachshund, Wirehaired320
Dachshund, Long Haired Miniature1030
Dachshund Smooth Coat Miniature2610
Dachshund Smooth Coat6560
Cotton De Tulear1200
Coonhound, Treeing Walker150
Coonhound, Blue Tick110
Coonhound, Black and Tan310
Irish Terrier230
\n", 576 | "

138 rows × 2 columns

\n", 577 | "
" 578 | ], 579 | "text/plain": [ 580 | "guard_or_trained No Yes\n", 581 | "breed \n", 582 | "Mixed/Other 23159 26\n", 583 | "German Shepherd Dog 1198 17\n", 584 | "American Pit Bull Terrier/Pit Bull 1653 9\n", 585 | "Rottweiler 712 8\n", 586 | "Chihuahua 3596 8\n", 587 | "Labrador Retriever 2628 7\n", 588 | "Shih Tzu 4758 7\n", 589 | "German Shepherd Crossbreed 1257 6\n", 590 | "Maltese 2910 6\n", 591 | "Cocker Spaniel 1458 5\n", 592 | "Jack Russell Terrier 1361 4\n", 593 | "Boxer 844 4\n", 594 | "Yorkshire Terrier 4911 4\n", 595 | "Miniature Pinscher 611 3\n", 596 | "Labrador Retriever Crossbreed 1650 3\n", 597 | "Bichon Frise 1014 3\n", 598 | "Poodle, Standard 1278 3\n", 599 | "Schnauzer, Miniature 926 2\n", 600 | "Siberian Husky 585 2\n", 601 | "Bull Dog, French 870 2\n", 602 | "Lhasa Apso 696 2\n", 603 | "American Pit Bull Mix / Pit Bull Mix 827 2\n", 604 | "Boston Terrier 858 2\n", 605 | "Beagle Crossbreed 417 2\n", 606 | "Golden Retriever 1339 2\n", 607 | "Belgian Malinois 34 2\n", 608 | "Pomeranian 1402 1\n", 609 | "Doberman Pinscher 229 1\n", 610 | "Dachshund, Long Haired 95 1\n", 611 | "Pug 1283 1\n", 612 | "... ... ...\n", 613 | "Australian Cattledog 91 0\n", 614 | "Akita Crossbreed 37 0\n", 615 | "Collie Crossbreed 161 0\n", 616 | "Collie, Rough Coat 23 0\n", 617 | "Mastiff, Bull 91 0\n", 618 | "Collie, Smooth Coat 18 0\n", 619 | "Labradoodle 319 0\n", 620 | "Kuvasz 6 0\n", 621 | "Keeshond 27 0\n", 622 | "Japanese Chin/Spaniel 69 0\n", 623 | "Irish Wolfhound 16 0\n", 624 | "Irish Setter 33 0\n", 625 | "Havanese 952 0\n", 626 | "Greyhound 137 0\n", 627 | "Great Pyrenees 31 0\n", 628 | "Great Dane 109 0\n", 629 | "Gordon Setter 6 0\n", 630 | "Fila Brasileiro 3 0\n", 631 | "English Cocker Spaniel 68 0\n", 632 | "Dalmatian 79 0\n", 633 | "Dachshund, Wirehaired, Miniature 31 0\n", 634 | "Dachshund, Wirehaired 32 0\n", 635 | "Dachshund, Long Haired Miniature 103 0\n", 636 | "Dachshund Smooth Coat Miniature 261 0\n", 637 | "Dachshund Smooth Coat 656 0\n", 638 | "Cotton De Tulear 120 0\n", 639 | "Coonhound, Treeing Walker 15 0\n", 640 | "Coonhound, Blue Tick 11 0\n", 641 | "Coonhound, Black and Tan 31 0\n", 642 | "Irish Terrier 23 0\n", 643 | "\n", 644 | "[138 rows x 2 columns]" 645 | ] 646 | }, 647 | "execution_count": 14, 648 | "metadata": {}, 649 | "output_type": "execute_result" 650 | } 651 | ], 652 | "source": [ 653 | "#quick comparison of what breeds are trained vs. not\n", 654 | "pd.crosstab(df.breed,df.guard_or_trained).sort_values('Yes', ascending=False)" 655 | ] 656 | }, 657 | { 658 | "cell_type": "markdown", 659 | "metadata": { 660 | "collapsed": true 661 | }, 662 | "source": [ 663 | "Stuck on what to do next? Here's a really thorough Pandas tutorial on the different ways in which you can approach the dataset: https://pandas.pydata.org/pandas-docs/stable/tutorials.html" 664 | ] 665 | }, 666 | { 667 | "cell_type": "code", 668 | "execution_count": null, 669 | "metadata": { 670 | "collapsed": true 671 | }, 672 | "outputs": [], 673 | "source": [] 674 | } 675 | ], 676 | "metadata": { 677 | "anaconda-cloud": {}, 678 | "kernelspec": { 679 | "display_name": "Python [conda root]", 680 | "language": "python", 681 | "name": "conda-root-py" 682 | }, 683 | "language_info": { 684 | "codemirror_mode": { 685 | "name": "ipython", 686 | "version": 2 687 | }, 688 | "file_extension": ".py", 689 | "mimetype": "text/x-python", 690 | "name": "python", 691 | "nbconvert_exporter": "python", 692 | "pygments_lexer": "ipython2", 693 | "version": "2.7.13" 694 | } 695 | }, 696 | "nbformat": 4, 697 | "nbformat_minor": 1 698 | } 699 | -------------------------------------------------------------------------------- /More pandas.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "### Here are a bunch more ways to use pandas to explore some interesting datasets. " 8 | ] 9 | }, 10 | { 11 | "cell_type": "code", 12 | "execution_count": null, 13 | "metadata": { 14 | "collapsed": true 15 | }, 16 | "outputs": [], 17 | "source": [ 18 | "import numpy as np\n", 19 | "import pandas as pd\n", 20 | "import matplotlib.pyplot as plt\n", 21 | "#import seaborn as sns\n", 22 | "plt.style.use('ggplot')\n", 23 | "% matplotlib inline" 24 | ] 25 | }, 26 | { 27 | "cell_type": "code", 28 | "execution_count": null, 29 | "metadata": { 30 | "collapsed": false, 31 | "scrolled": true 32 | }, 33 | "outputs": [], 34 | "source": [ 35 | "#import multiple dataframes\n", 36 | "drinks = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv')\n", 37 | "users = pd.read_table('https://raw.githubusercontent.com/justmarkham/DAT8/master/data/u.user', sep='|', index_col='user_id')\n", 38 | "ufo = pd.read_csv('https://raw.githubusercontent.com/planetsig/ufo-reports/master/csv-data/ufo-scrubbed-geocoded-time-standardized.csv')" 39 | ] 40 | }, 41 | { 42 | "cell_type": "code", 43 | "execution_count": null, 44 | "metadata": { 45 | "collapsed": false 46 | }, 47 | "outputs": [], 48 | "source": [ 49 | "#UFOs doesn't have column headings so we'll need to sort that out\n", 50 | "ufo.head()" 51 | ] 52 | }, 53 | { 54 | "cell_type": "code", 55 | "execution_count": null, 56 | "metadata": { 57 | "collapsed": true 58 | }, 59 | "outputs": [], 60 | "source": [ 61 | "#one way to do that is to create a list with the column names...\n", 62 | "columns = ['Date', 'City', 'State', 'Country', 'Shape', 'Duration (seconds)', 'Duration (hours/mins)', 'Description', 'Date_posted', 'Latitude', 'Longitude']" 63 | ] 64 | }, 65 | { 66 | "cell_type": "code", 67 | "execution_count": null, 68 | "metadata": { 69 | "collapsed": false 70 | }, 71 | "outputs": [], 72 | "source": [ 73 | "#...and specify that that list should be your column names when importing \n", 74 | "ufo = pd.read_csv('https://raw.githubusercontent.com/planetsig/ufo-reports/master/csv-data/ufo-scrubbed-geocoded-time-standardized.csv', names=columns)" 75 | ] 76 | }, 77 | { 78 | "cell_type": "code", 79 | "execution_count": null, 80 | "metadata": { 81 | "collapsed": false 82 | }, 83 | "outputs": [], 84 | "source": [ 85 | "#that's better\n", 86 | "ufo.head()" 87 | ] 88 | }, 89 | { 90 | "cell_type": "code", 91 | "execution_count": null, 92 | "metadata": { 93 | "collapsed": false 94 | }, 95 | "outputs": [], 96 | "source": [ 97 | "#pandas makes it easy for you to take a look at multiple columns at once\n", 98 | "ufo[['City', 'State']] " 99 | ] 100 | }, 101 | { 102 | "cell_type": "code", 103 | "execution_count": null, 104 | "metadata": { 105 | "collapsed": false 106 | }, 107 | "outputs": [], 108 | "source": [ 109 | "#there are also a bunch of ways to slice and dice a pandas dataframe to get the information you need. (and here's a great stackoverflow page on the merits of .loc vs. .iloc: https://stackoverflow.com/questions/31593201/pandas-iloc-vs-ix-vs-loc-explanation)\n", 110 | "#you can slice the rows to by specifying which ones you want to see. Here we're looking at the cities in rows 3 through 6 \n", 111 | "ufo.loc[3:6, 'City'] " 112 | ] 113 | }, 114 | { 115 | "cell_type": "code", 116 | "execution_count": null, 117 | "metadata": { 118 | "collapsed": false 119 | }, 120 | "outputs": [], 121 | "source": [ 122 | "#and here are the cities and states for rows three through six \n", 123 | "ufo.loc[3:6, ['City','State']]" 124 | ] 125 | }, 126 | { 127 | "cell_type": "code", 128 | "execution_count": null, 129 | "metadata": { 130 | "collapsed": true 131 | }, 132 | "outputs": [], 133 | "source": [ 134 | "# you can also do quite a bit of pre-processing in pandas\n", 135 | "#for example: mapping existing values to a different set of values\n", 136 | "users['is_male'] = users.gender.map({'F':0, 'M':1})" 137 | ] 138 | }, 139 | { 140 | "cell_type": "code", 141 | "execution_count": null, 142 | "metadata": { 143 | "collapsed": false 144 | }, 145 | "outputs": [], 146 | "source": [ 147 | "users" 148 | ] 149 | }, 150 | { 151 | "cell_type": "code", 152 | "execution_count": null, 153 | "metadata": { 154 | "collapsed": false 155 | }, 156 | "outputs": [], 157 | "source": [ 158 | "# when dealing with categorical data, you can also encode strings as integer values using .factorize (this automatically starts at 0)\n", 159 | "users.occupation.factorize()" 160 | ] 161 | }, 162 | { 163 | "cell_type": "code", 164 | "execution_count": null, 165 | "metadata": { 166 | "collapsed": false 167 | }, 168 | "outputs": [], 169 | "source": [ 170 | "#pandas lets you take a look at unique values in a column\n", 171 | "print(users.occupation.nunique()) # count the number of unique values\n", 172 | "users.occupation.unique() # return what those unique values are" 173 | ] 174 | }, 175 | { 176 | "cell_type": "code", 177 | "execution_count": null, 178 | "metadata": { 179 | "collapsed": true 180 | }, 181 | "outputs": [], 182 | "source": [ 183 | "# you can also do some data cleaning using pandas, like replacing all instances of a value in a column\n", 184 | "#here we're capitalizing TX\n", 185 | "ufo.State.replace('tx', 'TX', inplace=True)" 186 | ] 187 | }, 188 | { 189 | "cell_type": "code", 190 | "execution_count": null, 191 | "metadata": { 192 | "collapsed": false 193 | }, 194 | "outputs": [], 195 | "source": [ 196 | "ufo" 197 | ] 198 | }, 199 | { 200 | "cell_type": "code", 201 | "execution_count": null, 202 | "metadata": { 203 | "collapsed": false 204 | }, 205 | "outputs": [], 206 | "source": [ 207 | "#often, the data that needs the most cleaning are strings. you can access string methods using 'str'\n", 208 | "#so let's convert every state abbreviation to upper case\n", 209 | "ufo.State.str.upper() " 210 | ] 211 | }, 212 | { 213 | "cell_type": "code", 214 | "execution_count": null, 215 | "metadata": { 216 | "collapsed": false 217 | }, 218 | "outputs": [], 219 | "source": [ 220 | "#you can also use 'str' to query information\n", 221 | "#here we're checking the substrings within the 'Description' column\n", 222 | "ufo[ufo['Description'].str.contains('red')==True] " 223 | ] 224 | }, 225 | { 226 | "cell_type": "code", 227 | "execution_count": null, 228 | "metadata": { 229 | "collapsed": true 230 | }, 231 | "outputs": [], 232 | "source": [ 233 | "#you can also change information in one column based on something in another (this is particularly useful when you're doing some string cleaning)\n", 234 | "ufo.loc[ufo.Country == 'gb', 'State'] = \"some county idk probably the countryside\"" 235 | ] 236 | }, 237 | { 238 | "cell_type": "code", 239 | "execution_count": null, 240 | "metadata": { 241 | "collapsed": false 242 | }, 243 | "outputs": [], 244 | "source": [ 245 | "ufo" 246 | ] 247 | }, 248 | { 249 | "cell_type": "code", 250 | "execution_count": null, 251 | "metadata": { 252 | "collapsed": true 253 | }, 254 | "outputs": [], 255 | "source": [ 256 | "#you can also convert a string to the datetime format\n", 257 | "#FUN FACT: Pandas was created to help people handle stock information and that's why it has pretty gerat date time functionalities\n", 258 | "ufo['Date_posted'] = pd.to_datetime(ufo['Date_posted'])" 259 | ] 260 | }, 261 | { 262 | "cell_type": "code", 263 | "execution_count": null, 264 | "metadata": { 265 | "collapsed": true 266 | }, 267 | "outputs": [], 268 | "source": [ 269 | "#you can also pull out information like the year in the date time column\n", 270 | "ufo['Year'] = ufo.Date_posted.dt.year" 271 | ] 272 | }, 273 | { 274 | "cell_type": "code", 275 | "execution_count": null, 276 | "metadata": { 277 | "collapsed": true 278 | }, 279 | "outputs": [], 280 | "source": [ 281 | "#or the month\n", 282 | "ufo['Month'] = ufo.Date_posted.dt.month" 283 | ] 284 | }, 285 | { 286 | "cell_type": "code", 287 | "execution_count": null, 288 | "metadata": { 289 | "collapsed": false 290 | }, 291 | "outputs": [], 292 | "source": [ 293 | "ufo.head()" 294 | ] 295 | }, 296 | { 297 | "cell_type": "code", 298 | "execution_count": null, 299 | "metadata": { 300 | "collapsed": false, 301 | "scrolled": false 302 | }, 303 | "outputs": [], 304 | "source": [ 305 | "#you can use groupby statements to split data into groups based on some criteria, apply a function to that group, then combine the results of that function into a data structure\n", 306 | "#in this example, we're splitting information into years and countries with UFO sightings and then counting how many sightings there were in each year-country unit\n", 307 | "ufo.groupby('Year').Country.value_counts()" 308 | ] 309 | }, 310 | { 311 | "cell_type": "code", 312 | "execution_count": null, 313 | "metadata": { 314 | "collapsed": true 315 | }, 316 | "outputs": [], 317 | "source": [ 318 | "#what about plotting this bit of information to look at it visually?\n", 319 | "#we'll first take a stab at comparing countries over time\n", 320 | "ct_ufo = pd.crosstab(ufo.Year, ufo.Country)" 321 | ] 322 | }, 323 | { 324 | "cell_type": "code", 325 | "execution_count": null, 326 | "metadata": { 327 | "collapsed": false 328 | }, 329 | "outputs": [], 330 | "source": [ 331 | "ct_ufo" 332 | ] 333 | }, 334 | { 335 | "cell_type": "code", 336 | "execution_count": null, 337 | "metadata": { 338 | "collapsed": false 339 | }, 340 | "outputs": [], 341 | "source": [ 342 | "plt.plot(ct_ufo[:], linewidth=4.0)\n", 343 | "plt.legend(ct_ufo.columns)\n", 344 | "#change figure size\n", 345 | "fig_size = plt.rcParams[\"figure.figsize\"]\n", 346 | "fig_size[0] = 50\n", 347 | "fig_size[1] = 30\n", 348 | "plt.rcParams[\"figure.figsize\"] = fig_size\n", 349 | "#change font size\n", 350 | "font = {'family' : 'normal',\n", 351 | " 'weight' : 'bold',\n", 352 | " 'size' : 22}\n", 353 | "\n", 354 | "plt.rc('font', **font)" 355 | ] 356 | }, 357 | { 358 | "cell_type": "code", 359 | "execution_count": null, 360 | "metadata": { 361 | "collapsed": false, 362 | "scrolled": true 363 | }, 364 | "outputs": [], 365 | "source": [ 366 | "#you can also sort pandas dataframes by their index\n", 367 | "ufo.State.value_counts().sort_index()" 368 | ] 369 | }, 370 | { 371 | "cell_type": "code", 372 | "execution_count": null, 373 | "metadata": { 374 | "collapsed": false 375 | }, 376 | "outputs": [], 377 | "source": [ 378 | "#data cleaning often involves detecting duplicate rows -- here's a bunch of ways to do that\n", 379 | "#users.duplicated() #True if there are duplicates\n", 380 | "# users.duplicated().sum() # count of duplicates\n", 381 | "users[users.duplicated()] # only show duplicates\n", 382 | "# users.drop_duplicates() # drop duplicate rows\n", 383 | "# users.age.duplicated() # check a single column for duplicates\n", 384 | "# users.duplicated(['age', 'gender', 'zip_code']).sum() # specify columns for finding duplicates" 385 | ] 386 | }, 387 | { 388 | "cell_type": "code", 389 | "execution_count": null, 390 | "metadata": { 391 | "collapsed": false 392 | }, 393 | "outputs": [], 394 | "source": [ 395 | "#and sometimes, the easiest way to get a quick idea of the data is a cross-tabulation of two Series\n", 396 | "pd.crosstab(users.occupation, users.gender)" 397 | ] 398 | }, 399 | { 400 | "cell_type": "code", 401 | "execution_count": null, 402 | "metadata": { 403 | "collapsed": false 404 | }, 405 | "outputs": [], 406 | "source": [ 407 | "# alternative syntax for boolean filtering \n", 408 | "users.query('age < 20') # users[users.age < 20]\n", 409 | "users.query(\"age < 20 and gender=='M'\") # users[(users.age < 20) & (users.gender=='M')]\n", 410 | "users.query('age < 20 or age > 60') # users[(users.age < 20) | (users.age > 60)]" 411 | ] 412 | }, 413 | { 414 | "cell_type": "code", 415 | "execution_count": null, 416 | "metadata": { 417 | "collapsed": false 418 | }, 419 | "outputs": [], 420 | "source": [ 421 | "# display the memory usage of a DataFrame\n", 422 | "ufo.info() # total usage\n", 423 | "ufo.memory_usage() # usage by column" 424 | ] 425 | }, 426 | { 427 | "cell_type": "code", 428 | "execution_count": null, 429 | "metadata": { 430 | "collapsed": true 431 | }, 432 | "outputs": [], 433 | "source": [ 434 | "# change a Series to the 'category' data type (reduces memory usage and increases performance)\n", 435 | "ufo['State'] = ufo.State.astype('category')" 436 | ] 437 | }, 438 | { 439 | "cell_type": "code", 440 | "execution_count": null, 441 | "metadata": { 442 | "collapsed": true 443 | }, 444 | "outputs": [], 445 | "source": [ 446 | "# limit which rows are read when reading in a file\n", 447 | "pd.read_csv('drinks.csv', nrows=10) # only read first 10 rows\n", 448 | "pd.read_csv('drinks.csv', skiprows=[1, 2]) # skip the first two rows of data" 449 | ] 450 | }, 451 | { 452 | "cell_type": "code", 453 | "execution_count": null, 454 | "metadata": { 455 | "collapsed": true 456 | }, 457 | "outputs": [], 458 | "source": [ 459 | "# write a DataFrame out to a CSV\n", 460 | "drinks.to_csv('drinks_updated.csv') # index is used as first column\n", 461 | "drinks.to_csv('drinks_updated.csv', index=False) # ignore index" 462 | ] 463 | }, 464 | { 465 | "cell_type": "code", 466 | "execution_count": null, 467 | "metadata": { 468 | "collapsed": true 469 | }, 470 | "outputs": [], 471 | "source": [ 472 | "# save a DataFrame to disk (aka 'pickle') and read it from disk (aka 'unpickle')\n", 473 | "drinks.to_pickle('drinks_pickle')\n", 474 | "pd.read_pickle('drinks_pickle')" 475 | ] 476 | }, 477 | { 478 | "cell_type": "code", 479 | "execution_count": null, 480 | "metadata": { 481 | "collapsed": true 482 | }, 483 | "outputs": [], 484 | "source": [ 485 | "# randomly sample a DataFrame\n", 486 | "train = drinks.sample(frac=0.75, random_state=1) # will contain 75% of the rows\n", 487 | "test = drinks[~drinks.index.isin(train.index)] # will contain the other 25%\n" 488 | ] 489 | }, 490 | { 491 | "cell_type": "code", 492 | "execution_count": null, 493 | "metadata": { 494 | "collapsed": true 495 | }, 496 | "outputs": [], 497 | "source": [ 498 | "# change the maximum number of rows and columns printed ('None' means unlimited)\n", 499 | "pd.set_option('max_rows', None) # default is 60 rows\n", 500 | "pd.set_option('max_columns', None) # default is 20 columns\n", 501 | "print drinks" 502 | ] 503 | }, 504 | { 505 | "cell_type": "code", 506 | "execution_count": null, 507 | "metadata": { 508 | "collapsed": true 509 | }, 510 | "outputs": [], 511 | "source": [ 512 | "# reset options to defaults\n", 513 | "pd.reset_option('max_rows')\n", 514 | "pd.reset_option('max_columns')\n" 515 | ] 516 | }, 517 | { 518 | "cell_type": "code", 519 | "execution_count": null, 520 | "metadata": { 521 | "collapsed": true 522 | }, 523 | "outputs": [], 524 | "source": [ 525 | "# change the options temporarily (settings are restored when you exit the 'with' block)\n", 526 | "with pd.option_context('max_rows', None, 'max_columns', None):\n", 527 | " print drinks" 528 | ] 529 | }, 530 | { 531 | "cell_type": "code", 532 | "execution_count": null, 533 | "metadata": { 534 | "collapsed": false 535 | }, 536 | "outputs": [], 537 | "source": [ 538 | "#combine everything into one function that runs your most commonly used EDA calls for you\n", 539 | "def eda(dataframe):\n", 540 | " print (\"missing values \\n\", dataframe.isnull().sum())\n", 541 | " print (\"dataframe index \\n\", dataframe.index)\n", 542 | " print (\"dataframe types \\n\", dataframe.dtypes)\n", 543 | " print (\"dataframe shape \\n\", dataframe.shape)\n", 544 | " print (\"dataframe describe \\n\", dataframe.describe())\n", 545 | " for item in dataframe:\n", 546 | " print (item)\n", 547 | " print (dataframe[item].nunique())\n", 548 | "\n", 549 | "eda(ufo)" 550 | ] 551 | }, 552 | { 553 | "cell_type": "code", 554 | "execution_count": null, 555 | "metadata": { 556 | "collapsed": true 557 | }, 558 | "outputs": [], 559 | "source": [] 560 | } 561 | ], 562 | "metadata": { 563 | "anaconda-cloud": {}, 564 | "kernelspec": { 565 | "display_name": "Python [conda root]", 566 | "language": "python", 567 | "name": "conda-root-py" 568 | }, 569 | "language_info": { 570 | "codemirror_mode": { 571 | "name": "ipython", 572 | "version": 2 573 | }, 574 | "file_extension": ".py", 575 | "mimetype": "text/x-python", 576 | "name": "python", 577 | "nbconvert_exporter": "python", 578 | "pygments_lexer": "ipython2", 579 | "version": "2.7.13" 580 | } 581 | }, 582 | "nbformat": 4, 583 | "nbformat_minor": 1 584 | } 585 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Introduction to Exploratory Data Analysis 2 | 3 | Before you dive into the lesson, make sure you have **Anaconda** installed. You can download Anaconda [here](https://www.anaconda.com/download/). I'm using Python 2.7 in my code but if you get 3.6, you won't have to make too many changes to the code. 4 | 5 | Anaconda comes with both Pandas and Jupyter notebook. It also comes with other packages for data science, including statsmodels and scikit-learn. 6 | 7 | If you have any questions or notice any errors in the code, please let me know! You can find me on Twitter @mostlyinane or shoot me an email at ritika.s.bhasker (at) gmail. 8 | 9 | -------------------------------------------------------------------------------- /Washington_DC_Public_Art.csv: -------------------------------------------------------------------------------- 1 | X,Y,OBJECTID,ADDRESS,ARTIST,TITLE,MEDIUM,YEAR,ART_TYPE,DISPLAY,LOCATION,NEIGHBORHOOD,SIZE_,WARD,DURATION,PROGRAM_SOURCE,ARTWORK 2 | -77.023515042967546,38.914256255535726,1,813 S STREET NW,Richard Colman,Checker Club,Aerosol paint,2011,Mural,"Capitol Pool Checkers Club, located at back of building on corner of 9th & S Street, NW",813 s street nw,shaw,,1,Temporary,MuralsDC, 3 | -76.986446281445524,38.867186554593715,2,1320 GOOD HOPE ROAD SE,"Helping Inner City Youth Succeed, Hicks",Untitled,Aerosol paint,2009,Mural,"African Heritage Center for African Dance & Music, mural located on side of building facing parking lot",1320b good hope road se,anacostia,1209 sq. ft.,8,Temporary,MuralsDC, 4 | -76.995284097964657,38.879774866247914,3,745 8TH STREET SE,Michael Hammond,Depiction of the House’s Go-go Band,Aerosol paint on concrete,2011,Mural,"Sasha Bruce House, mural located on front of building",745 8th street se,capitol hill,140 sq. feet,6,Permanent,Commissioned Project, 5 | -77.001522170320811,38.95704146049561,4,320 RIGGS ROAD NE,Joel Bergner and Rashad Cuffee,Life Makes Music,Aerosol paint,2008,Mural,"Off the intersection at South Dakota Ave NE & Riggs Road NE, , mural located back from street on retaining wall",357 riggs road ne,petworth,,4,Temporary,Neighborhood Projects, 6 | -77.016779828947236,38.974891735441943,5,314 CARROLL STREET NW,"Words, Beats and Life",Takoma Green,Aerosol paint,2009,Mural,"Elevation 314, mural is located behind 314 Carroll Street, NW & visible from the Red Line Metro trains at Takoma Station",314 carroll street nw,takoma,150 x 10',4,Temporary,Neighborhood Projects, 7 | -76.944686215372158,38.86919798058274,6,1400 41ST STREET SE,Alfred J. Smith,Positive Actions,Acrylic on wood,1993,Mural,"Fort Davis Recreation Center, located behind building in circular pavilion near playground",1400 41st street se,fort davis,"Two panels: 60"" x 30"" and one panel: 45"" x 90""",7,Permanent,Community Initiatives, 8 | -77.020835671881926,38.89955558844359,7,616 H STREET NW,Constance Flueres,The Yellow Line,"Paint, clay, neon",1989,"Sculpture, Mural","Gallery Place, Chinatown Metro Station, located inside station entrance",616 h street nw,chinatown,130',2,Temporary,MuralsDC, 9 | -76.984688361293323,38.909745288073601,8,1201 MOUNT OLIVET ROAD NE,Roderick Turner,Black Men in Flight,Paint on board,1998,Mural,Located on side of North East Market Deli,1203 mt. olivet road ne,brentwood,8' x 28',5,Permanent,Art in the Metro, 10 | -76.986969455441425,38.900450980304022,9,1338 H STREET NE,Justine Walden,Expressive Sign Project: Smokey's Barbershop,Pain on aluminum,2004,"Architectural, sign","Smokey's Barber Shop, business sign",1338 h street ne,atlas district,,6,Temporary,MuralsDC, 11 | -77.022304703862048,38.913943453134451,10,710 S STREET NW,Eric B. Ricks,With Hard Work Dreams Become Reality,Aerosol paint on brick,2012,Mural,"Log Cabin Convenience Store, back of building",710 s street nw,shaw,12' x 26',6,Permanent,Community Initiatives, 12 | -76.994564882555153,38.930360153562702,11,3225 8TH STREET NE,"Cita ""Chelove"" Sadeli",I Dance With The Dancers,Aerosol paint on concrete,2012,Mural,"Dance Place, mural located on right side of building",3225 8th street ne,pleasant plains,"148"" x 743""",5,Permanent,Inter District DPR, 13 | -76.978627807395,38.865915649665844,12,1800 GOOD HOPE ROAD SE,William C. Howard,I Read,Glass,2010,Installation,"Anacostia Library, installation located inside building",1800 good hope road se,anacostia,,8,Temporary,MuralsDC, 14 | -77.001789286311904,38.905506821805396,13,1179 3RD STREET NE,Daniel Hopkins,Pose,Aerosol paint on brick,2012,Mural,"Oasis Market, located on side of building facing M Street",1179 3rd street ne,noma,8' x 27',6,Temporary,MuralsDC, 15 | -77.025232453896663,38.939171909746186,14,3910 GEORGIA AVENUE NW,Nekisha Durrett,Sweet,Uv coated canvas,2011,Mural,"3 Tree Flats, located on right side of condominium building",3910 georgia avenue nw,petworth,24 x 12',4,Temporary,MuralsDC, 16 | -77.033309792868906,38.927203073272217,15,1420 COLUMBIA ROAD NW,Ryan McDonnell and Manuel Navarette,Untitled,Aerosol paint,2008,Mural,"CentroNia School, located on side street Harvard CT, on side of building",1420 columbia road nw,columbia heights,762 sq. feet,1,Permanent,Neighborhood Projects, 17 | -77.04613973190186,38.913725046183494,16,1736 CONNECTICUT AVENUE NW,Byron Peck,Dupont Circle,Paint on brick,1993,Mural,Located on side of building 2nd-3rd floor,1736 connecticut avenue nw,dupont circle,,2,Temporary,MuralsDC, 18 | -77.016353458517699,38.913742380689598,17,400 FLORIDA AVENUE NW,Joel Bergner and Rashad Cuffee,The Crane,Aerosol paint,2008,Mural,"Ken's Carry Out, mural located on outside of building",400 florida avenue nw,shaw,225 sq. feet,5,Temporary,MuralsDC, 19 | -77.077778012466737,38.950164181029514,18,3950 CHESAPEAKE STREET NW,Kevin Dobbe,Interactions,Four NEC monitors with wall domed camera above. 5 four ft. DMX controlled LED lights.,2012,Installation,"Wilson Senior High, LED DMX Display is located inside school",3950 chesapeake street nw,north cleveland park,"Four 55"" monitors",3,Permanent,Neighborhood Projects, 20 | -77.009567293213024,38.910848303362236,19,12 FLORIDA AVENUE NW,James Bullough and Addison Karl,Untitled,Aerosol paint,2013,Mural,"Across from Tuxton Cricle Park, mural located on right side of building,",12 florida avenue nw,truxton circle,,5,Temporary,MuralsDC, 21 | -76.9410901691585,38.901013390034322,20,4309 NANNIE HELEN BURROUGHS AVENUE NE,Rik Freeman,100 Years of African American History,Acrylic on masonry wall,1991,Mural,"Deanwood, across the street from Dean Avenue Cleaners",4309 nannie helen burroughs avenue ne,deanwood,12' x 120',7,Temporary,MuralsDC, 22 | -76.991820668078645,38.829029734270087,21,885 CHESAPEAKE STREET SE,Cheryl Foster,Shooting for the Stars…Not Each Other,"Mosaic, mixed media",2000,Mural,"Southern Court Apartments, located onside of apartment building Chesapeake & Southern Avenue, SE",885 chesapeake street se,washington highlands,30' x 30',8,Temporary,MuralsDC, 23 | -76.996916494788081,38.922067272626279,22,680 RHODE ISLAND AVENUE NE,Albus Cavus,Edgewood to the End of the World,Aerosol paint,2009,Mural,"Rhode Island Avenue Shopping Center, mural is located in the parking lot of the shopping center off of 4th Street",680 rhode island avenue ne,edgewood,20 x 275',5,Temporary,MuralsDC, 24 | -76.982919600894263,38.921047494003744,23,2311 14TH STREET NE,Maureen Melville & Laurie Seigel,Brentwood Recreation Center,Stained glass windows,2007,"Mural, glass","Brentwood Recreation Center, located in windows of entrance",2311 14th street ne,brentwood,,5,Temporary,MuralsDC, 25 | -76.993019099816365,38.898553076310137,24,640 10TH STREET NE,Carien Quiroga,Reaching Out - Joining Hands,"Glass mosaic, aluminum and photographs",2006,Mural,"Sherwood Recreation Center, located inside Center",640 10th street ne,capitol hill,6 1/2' x 16.7',6,Permanent,Community Initiatives, 26 | -77.02165570448247,38.899640027807941,25,630 H STREET NW,Foon Sham,The Glory of Chinese Descendants,Neon,2000,"Architectural, neon","Gallery Place, Chinatown Metro Station, located inside station",630 h street nw,chinatown,,2,Permanent,Art in the Metro, 27 | -77.003735302421191,38.839911820393517,26,3500 MARTIN LUTHER KING JR AVENUE SE,Cheryl Foster,Golden Years,"Acrylic, mixed media",2002,Mural,"Office on Aging's Senior Wellness Center, located inside Center",3500 martin luther king jr avenue se,congress heights,6' x 24',8,Permanent,Neighborhood Projects, 28 | -77.02496324576029,38.912166921260081,27,925 RHODE ISLAND AVENUE NW,Byron Peck,Percy Ellis,Acrylic paint on panel,2005,Mural,"Shaw Junior High School, mural located inside school",925 rhode island avenue nw,shaw,5' x 7',6,Temporary,Neighborhood Projects, 29 | -76.992916890042281,38.900440141649327,28,920 H STREET NE,Perran Collery,Expressive Sign Project: Park's Hardware,Glazed ceramic tile cemented on cement board,2004,"Architectural, sign","Park's Hardware, business sign",920 h street ne,atlas district,,6,Temporary,MuralsDC, 30 | -76.992602301763085,38.938071784232079,29,1100 MICHIGAN AVENUE NE,Garin Baker,"Then and Now; Swimming Pool",Oil on Canvas,2007,Mural,"Turkey Thicket Recreation Center, located in Center",1100 michigan avenue ne,brookland,"mural - 9'x 12'; banners 2'x6'",5,Temporary,MuralsDC, 31 | -77.040902010660702,38.919683577721401,30,1742 KALORAMA ROAD NW,Cita Sadeli,Closeup,Aerosol paint,2011,Mural,"Champlain Park, mural located on side of residential building",1742 kalorama road nw,adams morgan,"1,110 sq. feet",1,Permanent,Inter District DCPL, 32 | -77.044457557209384,38.910854144520783,31,1528 CONNECTICUT AVENUE NW,Ethelbert Miller,We Embrace,Engraved concrete,2006,Interactive Installation,"Dupont Circle Metro Station, located behind entrance in plaza on Connecticut Avenue",1546 connecticut avenue nw,dupont circle,,2,Temporary,MuralsDC, 33 | -77.028777281267949,38.91727232966111,32,1213 U STREET NW,Aneikan Udofia,Ben's Mural,Aerosol paint on brick,2012,Mural,"Ben's Chili Bowl, mural located on right side of building",1213 u street nw,shaw,12' x 20',1,Permanent,PABC Grant, 34 | -77.021538741276473,38.908997566756113,33,1401 7TH STREET NW,Joan Danziger,Acrobatic Troupe,Mixed media,2006,Sculpture,"Kennedy Recreation Center, located inside lobby",1401 7th street nw,shaw,"Approx. 8 feet H, each",6,Temporary,MuralsDC, 35 | -76.995226763823808,38.925242468971156,34,711 EDGEWOOD STREET NE,Drew Liverman,Metro Branch Trail,Aerosol paint,2011,Mural,"Mural is located along the Metro Branch Trail at 8th & Edgewood Street, NE",711 edgewood street ne (behind building),edgewood,544 sq. feet,5,Permanent,Neighborhood Projects, 36 | -76.981056822253834,38.86620812171725,35,1640 GOOD HOPE ROAD SE,Aniekan Udofia,Frederick Douglas,Aerosol paint,2011,Mural,"Bread for the City, located on right side of building, 2nd floor",1640 good hope road se,anacostia,360 sq. feet,8,Temporary,MuralsDC, 37 | -77.038748736816061,38.924952920220477,36,1658 COLUMBIA ROAD NW,Karla 'Karlisima' Rodas,The Light of the World,Paint,2010,Mural,"The Potters House, located on front of buidling, second floor",1658 columbia road nw,adams morgan,,1,Permanent,Commissioned Project, 38 | -77.024329460628451,38.909916590802219,37,1500 9TH STREET NW,Byron Peck,Shaw Community Mural,KEIM Mineral Paint,2008,Mural,"Shiloh Baptist Church Research Center, located on side of building",1500 9th street nw,shaw,1400 sq. feet,6,Permanent,Art Bank, 39 | -77.046777675607743,38.923517388759748,38,1967 CALVERT STREET NW,Karla 'Karlisima' Rodas,Mama Ayesha Welcomes Presidents,"Paint, tile",2009,Mural,"Mama Ayesha's Restaurant, mural located on side of building",1967 calvert street nw,adams morgan,30 x 12',1,Temporary,MuralsDC, 40 | -76.989163111739373,38.866676872073846,39,2005 MARTIN LUTHER KING JR AVENUE SE,Bryan Conner,Light Mural,Aerosol paint,2011,Mural,"Residential building, located on side of building facing U Street",2005 martin luther king jr avenue se,anacostia,150' x 50',8,Permanent,Art Bank, 41 | -77.015606791138069,38.91767678293148,40,239 ELM STREET NW,Garin Baker,This Is How We Live,Alkyd paint on primed existing building exterior,2008,Mural,"The Park At LeDroit, located alongside residential building facing park",239 elm street nw,ledroit park,30' x 30',1,Permanent,Inter District DPR, 42 | -77.032405818770911,38.917451816558355,41,2000 14TH STREET NW,Walter Kravitz,U Street Sound,Enamel on polycarbonate,1997,Sculpture,"Frank D. Reeves Municipal Center, Center Lobby",2000 14th street nw,shaw,80' x 125',1,Temporary,MuralsDC, 43 | -76.947773314656317,38.894188678040557,42,3935 BENNING ROAD NE,Life Pieces to Masterpieces,Dreams of Tomorrow,Acrylic on canvas,2009,Mural,"Benning Library, Dorothy Irene Height Library, located inside library",3935 benning road ne,benning,,7,Temporary,MuralsDC, 44 | -77.02135260083837,38.935010668742336,43,693 OTIS PLACE NW,Helen Metaferai and Latin American Youth Center,Parkview Stories,Acrylic on concrete,2011,Mural,"Park View Recreation Center, mural located on front & back of building",693 otis place nw,park view,108 x 10',1,Temporary,MuralsDC, 45 | -77.027778697056036,38.943616023378759,44,4400 IOWA AVENUE NW,Juan Pineda,Language Access For All In DC,Aerosol paint on brick,2012,Mural,"McFarland Middle School, mural located on outside of building",4400 iowa avenue nw,petworth,22' x 25',4,Permanent,Downtown Projects, 46 | -77.008236280694931,38.967786951038654,45,20 TUCKERMAN STREET NE,Byron Peck,Lamond Recreation Center,Ceramic tile,2008,Mural,"Lamond Recreation Center, located on outside of building façade near entrance",20 tuckerman street ne,lamond-riggs,12 x 16',4,Permanent,PABC Grant, 47 | -76.997585461486707,38.843394341804078,46,600 ALABAMA AVENUE SE,The Midnight Forum Artists,Untitled,Aerosol paint,2008,Mural,"Liff's Convenience Store, mural located on corner of Alabama Avenue & Randle Place, SE, facing Randle Place",600 alabama avenue se,congress heights,120 sq. feet,8,Temporary,MuralsDC, 48 | -77.032401344477378,38.962168359750038,47,1375 MISSOURI AVENUE NW,Cecilia Lueza,"The Birth of Our Dreams, Homage to Maria Rodriguez (aka Jean Butler)",Aerosol paint,2013,Mural,"Bilingual Public Charter School, mural located on outside of school",1375 missouri avenue nw,brightwood,,4,Permanent,PABC Grant, 49 | -77.020692625820288,38.913923030592066,48,614 S STREET NW,Byron Peck,Myth of Zacharias,Aerosol paint,2008,Mural,"New Community Church, located on side of building in alley way",614 s street nw,shaw,800 sq. feet,6,Permanent,Art in the Metro, 50 | -77.032316991681455,38.943321186550278,49,4300 ARKANSAS AVENUE NW,"Words, Beats and Life",Upshur Park,Aerosol paint,2008,Mural,Located within Upshur park near Recreation Center,4300 arkansas avenue nw,16th street heights,994 sq. ft.,4,Temporary,MuralsDC, 51 | -77.014594175245009,38.900648982457,50,251 H STREET NW,Val Lewton,Air Shaft Tunnel,Acrylic on concrete,1992,Mural,"Behind the Mayer Mitchell Building, Air Shaft Tunnel, 3rd & H Street",219 h street nw,downtown,20' x 27' each,6,Temporary,MuralsDC, 52 | -76.988204949929724,38.848125456151159,51,1100 ALABAMA AVENUE SE,Matthew Barinholtz,Floating Home,Wood and wood veneers on engineered panels,2010,Suspended,Saint Elizabeth Hospital- Forensic Lobby entrance ceiling,1100 alabama avenue se,saint elizabeth's,"Panel - 144"" x 48"" x 4""; boats vary - 12"" x 4"" x 4"" to 48"" x 20"" x 20""",8,Temporary,MuralsDC, 53 | -77.027851362902268,38.95864270895283,52,5701 GEORGIA AVENUE NW,Cheryl Foster,"Emery, You Light Up Our Lives","Acrylic, LED lights",2006,Sculpture,"Emery Recreation Center, located inside Center",5701 georgia avenue nw,brightwood,spans 60',4,Permanent,PABC Grant, 54 | -76.995047096658496,38.853735049618614,53,2720 MARTIN LUTHER KING JR AVENUE SE,Karen Olivia Brown,Earth Point,Mixed media on wood panels,2003,Wall Mural- interior,United Communications Center lobby,2720 martin luther king jr avenue se,saint elizabeth's,"Two panels: 7 1/2' x 24""; Three Panels: 7 1/2"" x 30""; 1 Panel: 7 1/2' x 22""; and 1 Panel: 7 1/2' x 32""",8,Permanent,Commissioned Project, 55 | -77.016158729287241,38.920952496571452,54,301 BRYANT STREET NW,"Words, Beats and Life",Fule for the Fire,Aerosol paint on concrete,2011,Mural,"Retaining wall, DC Water Byrant Street Pumping Station",301 bryant street nw,pleasant plains,130' x 22',1,Temporary,MuralsDC, 56 | -77.031355173392299,38.895010139722928,55,1350 PENNSYLVANIA AVENUE NW,"Multiple Artists, over 200 works of art on display by 100 Metropolitan area artists",HeArt of DC City Hall Art Collection,,2006-2008,Art Installation,"John A. Wilson Building, art work located on each floor of building",1350 pennsylvania avenue nw,downtown,,2,Permanent,Neighborhood Projects, 57 | -76.962633763312169,38.858613906123416,56,3100 DENVER STREET SE,Walter Kravitz,Hillcrest Recreation Center,Enamel on polycarbonate,2007,"Sculpture, suspended","Hillcrest Recreation Center, located in Center",3100 denver street se,hillcrest,,7,Permanent,Community Initiatives, 58 | -76.934081892019194,38.903086162901289,57,4748 SHERIFF ROAD NE,Juan Pineda,Greetings from Deanwood,Aerosol paint,2010,Mural,"A&S Grocery Store, mural located on side of buidling",4748 sheriff road ne,deanwood,46 x 17',7,Permanent,Neighborhood Projects, 59 | -77.034045572325653,38.933724337528297,58,1435 MERIDIAN PLACE NW,Aniekan Udofia,Untitled,Aerosol paint,2008,Mural,"Located at residence, on side of building along driveway",1435 meridian place nw,columbia heights,558 sq. feet,1,Permanent,Inter District DPR, 60 | -77.023570818200483,38.930170799974157,59,3200 GEORGIA AVENUE NW,Joel Bergner,Daughter of Oshun in the World,Acrylic on wood,2008,Mural,"Morgan's Seafood Restaurant, mural located on outside of buidling",3200 georgia avenue nw,park view,25 x 15',1,Permanent,Inter District DPR, 61 | -77.045333940453546,38.901680748739601,60,2001 PENNSYLVANIA AVENUE NW,John Dreyfus,Solomon's Gate,Bronze,1993,Sculpture,"James Monroe Building, front sidewalk",2001 pennsylvania avenue nw,downtown,"14' H, each",2,Permanent,Art in the Metro, 62 | -77.044155906566004,38.907737516152125,61,1912 SUNDERLAND PLACE NW,Peter Waddell,The Toy Theater,Paint on brick,2012,Mural,"Griffin & Murphy, mural located on side of building facing parking lot",1912 sunderland place nw,dupont circle,60 x 60,2,Permanent,Community Initiatives, 63 | -77.015763372282265,38.913456086724103,62,312 FLORIDA AVENUE NW,Aniekan Udofia,The Girl with the Pencil,Aerosol paint,2013,Mural,"Kuumba Kollectibles, mural located on side of building facing parking lot",312 florida avenue nw,shaw,,5,Permanent,Community Initiatives, 64 | -77.021095471142829,38.915346996403883,63,620 T STREET NW,Browner Hatcher & Sean Hennessy,Jazz Man,"Stainless Steel Rods and Plates, plated brass, copper, series 38 power coating, chrome and stainless reflective discs and LED lights",2012,Sculpture,"Howard Theater, sculpture is located on roof of building",620 t street nw,shaw,7 1/2' tall,1,Temporary,Neighborhood Projects, 65 | -77.033027565481106,38.928618449711507,64,3030 14TH STREET NW,Akili Ron Anderson,Sankofa I and II,Stained glass,2002,Stained glass,"Columbia Heights Metro Station, located inside Metro station",3030 14th street nw,columbia heights,,1,Permanent,Inter District DPR, 66 | -77.024676502258131,38.920897768981938,65,907 BARRY PLACE NW,Albus Cavus,Seasons in the City,Aerosol paint,2009,Mural,"Refrigeration Supply Co, located on corner of Sherman Avenue & Barry Place, NW, facing Sherman Avenue",907 barry place nw,shaw,100 x 20',1,Temporary,MuralsDC, 67 | -77.033008406668841,38.938826305904811,66,3904 14TH STREET NW,"Words, Beats and Life",My DC,Aerosol paint,2009,Mural,"14th Street Mini Market, mural located on side of building",3904 14th street nw,16th street heights,81 x 15',4,Permanent,Art in the Metro, 68 | -77.029955498524217,38.931473831156964,67,3400 13TH STREET NW,Alicia Cosnahan,Wall to Wall,Aerosol paint on concrete,2012,Mural,"Park Market, mural located on half wall & side of building",3400 13th street nw,columbia heights,6' x 28' and 2.2' x 11',1,Temporary,MuralsDC, 69 | -77.027861606488671,38.918750458410656,68,2119 12TH STREET NW,Kelly Towles,Scout,"Acrylic, Aerosol paint",2010,Mural,"Located on side of Residence facing empty lot- 12th + W Street, NW",2119 12th street nw,columbia heights,50 x 30',1,Permanent,Inter District DPR, 70 | -76.975790764510194,38.926830207508083,69,2901 20TH STREET NE,,,,2014,Sculpture,Chuck Brown Memorial Park,2901 20th street ne,langdon,,5,Temporary,MuralsDC, 71 | -76.99278172781527,38.862197176429554,70,2420 MARTIN LUTHER KING JR AVENUE SE,"Words, Beats and Life","Many Voices, Many Beats, One City","Spray paint, paint on concrete",2008,Mural,"MLK Grocery Store, located on side of building facing parking area",2420 martin luther king jr avenue se,anacostia,90 x 33',8,Temporary,MuralsDC, 72 | -76.994733485957852,38.925973292638282,71,2801 8TH STREET NE,"Rodney ""Buck"" Herring, Wesley Clark, and Brandon Hill (A.M. Radio)",Movement,Aerosol paint,2008,Mural,Mural located under Franklin Street Underpass,2801 8th street ne,edgewood,689 sq. feet,5,Temporary,PABC Grant, 73 | -76.983079524742905,38.870091507624799,72,1601 16TH STREET SE,Roberto Delgado,Agitate,Brushed acrylic on fiberglass mesh on shaped foamcore,2012,"Sculpture, installation","Anacostia Senior High, installation located in lunchroom of school",1601 16th street se,anacostia,,8,Temporary,MuralsDC, 74 | -76.993940832962863,38.900412993979742,73,822 H STREET NE,Karla 'Karlisima' Rodas,Expressive Sign Project: Stan's Discount Clothes,Oil paint on aluminum,2004,"Architectural, sign","Stan’s Inc., business sign",822 h street ne,atlas district,,6,Permanent,PABC Grant, 75 | -76.991156067468239,38.900401195621384,74,1106 H STREET NE,Valerie Theberge,Expressive Sign Project: Hillman and Son's Barbershop,Glass tiles,2004,"Architectural, sign","Hillman and Son Barber Shop, business sign",1106 h street ne,atlas district,,6,Temporary,MuralsDC, 76 | -77.027037739910057,38.980288354069415,75,7420 GEORGIA AVENUE NW,Sam Gilliam,Library Stars/Library Obelisk,Patinated copper,2000,Sculpture,"Juanita E. Thornton, Shepherd Park Branch Library, sculpture attached to front of building",7420 georgia avenue nw,shepherd park,"19' 6"" x 5' 6"" x 2""",4,Permanent,Community Initiatives, 77 | -76.997445199753002,38.84548736109496,76,2921 MARTIN LUTHER KING JR AVENUE SE,Daniel Rosnedvalles and Justin Poppe,Martha Washington,Aerosol paint,2013,Mural,Mellon Convenience Store,2921 martin luther king jr avenue se,congress heights,,8,Permanent,Neighborhood Projects, 78 | -77.029398870954651,38.898141145840754,77,607 13TH STREET NW,Hazel Rebold,Ribbons and Jewels,Stained glass,1991,"Architectural, stained glass","Metro Center Station, located inside station entrance 13th & G Street",607 13th street nw,downtown,,2,Permanent,Inter District DPR, 79 | -76.925527623854748,38.897871847617544,78,615 DIVISION AVENUE NE,,Metamorphosis,Aerosol paint on concrete,2009,Mural,"A-1 Grocery Store, located on side of building facing gas station",615 division avenue ne,lincoln heights,76 x 14',7,Permanent,PABC Grant, 80 | -76.952154524738177,38.888113864697061,79,3600 B STREET SE,Esther Wertheimer,Celebration,Bronze,2008,Sculpture,"Triangle View Senior Residence, located behind building in back courtyard, viewable on Anacosita Road, SE",3600 b street se,fort dupont,10' x 6',7,Temporary,MuralsDC, 81 | -77.01279478559168,38.875023592504164,80,201 N STREET SW,Walter Kravitz,City Sports,"Glass, paint",2007,"Mural, glass","King Greenleaf Recreation Center, located in Center",201 n street sw,southwest,between 5' and 8' high. Each,6,Permanent,Inter District DPR, 82 | -76.9821542164091,38.925785396642112,81,1513 RHODE ISLAND AVENUE NE,Hamilton Glass,Untitled,Aerosol paint,2013,Mural,"Good Ol' Reliable Liquor, mural located on front of building",1513 rhode island avenue ne,langdon,,5,Temporary,MuralsDC, 83 | -76.980644691018625,38.903889494445572,82,1101 BLADENSBURG ROAD NE,Michael Owen,Untitled,Aerosol paint,2013,Mural,"Sullivan's Southern Style Seafood, mural located on side of building",1101 bladensburg road ne,trinidad,,5,Temporary,MuralsDC, 84 | -77.02344153941759,38.925316155065737,83,721 FAIRMONT STREET NW,The Midnight Forum Artists,Untitled,Aerosol paint,2008,Mural,Howard University Parking Lot,721 fairmont street nw,shaw,950 sq. feet,1,Temporary,MuralsDC, 85 | -77.02994677765534,38.916779370049355,84,1300 U STREET NW,Alfred J. Smith,Community Rhythms,Paint on board,1995,Mural,"U Street/Cardozo Metro Station, located inside station entrance",1300 u street nw,shaw,4' x 106',1,Temporary,MuralsDC, 86 | -77.024163391898909,38.906056278055978,85,1208 9TH STREET NW,Coby Kennedy,DC 500,Aerosol paint,2010,Mural,"Squares Fashion, mural located on side of building",1208 9th street nw,mount vernon,,2,Permanent,Downtown Projects, 87 | -77.040993868565934,38.924215183485018,86,1747 COLUMBIA ROAD NW,"Midnight Forum, Lead Artist: Aniekan Udofia",Building Together,Aerosol paint,2010,Mural,"Safeway, mural located in alley way",1747 columbia rd nw,adams morgan,,1,Permanent,Neighborhood Projects, 88 | -77.008529036331282,38.872367224165124,87,1500 SOUTH CAPITOL STREET SE,Walter Kravitz,The Ball Game,Enamel on polycarbonate,2009,Suspended installation,"Nationals Baseball Stadium, installation suspended in the entrance of the Grand Staircase",1500 south capitol street se,navy yard,28 feet high x 42 ft. wide x 44 ft. deep,6,Permanent,Inter District DPR, 89 | -77.019474425019155,38.89784459476035,88,600 5TH STREET NW,Alex Mayer,Untitled - Circles I,Mixed media,2007,Mural,"Washington Metropolitan Area Transit Authority building, located in lobby",600 5th street nw,dupont circle,10' x 30',2,Permanent,Art in the Metro, 90 | -77.028099858874228,38.930206912976338,89,3222 11TH STREET NW,Kevin Irvin Irvin,BloomBars,Aerosol paint,2011,Mural,"BloomBars, mural located on right side of building 2nd floor, not in alleyway",3222 11th street nw,columbia heights,,1,Temporary,MuralsDC, 91 | -76.987777565082595,38.845397655841545,90,1290 ALABAMA AVENUE SE,Anne Allardyce-Tully,East of the River: Connections,Steel,2006,Sculpture,"Congress Heights Metro Station, located outside of entrance corner of 13th Street & Alabama Avenue, SE",1290 alabama avenue se,congress heights,,8,Permanent,Art in the Metro, 92 | -76.984126384470017,38.880106472764346,91,1432 PENNSYLVANIA AVENUE SE,"Albus Cavus, Lead Artist: Decoy",Sousa's New Marine Band,Aerosol paint,2010,Mural,"Wisdom Lounge, mural located on side of building facing parking lot",1432 pennsylvania avenue se,capitol hill,,6,Temporary,MuralsDC, 93 | -77.017540990397521,38.974317619167834,92,6925 BLAIR ROAD NW,Coby Kennedy,Untitled,Aerosol paint,2013,Mural,"Behind S&S Fine Wine & Spirits, located on partition wall",6925 blair road nw,takoma,,4,Temporary,MuralsDC, 94 | -76.947464867308241,38.900428184523008,93,765 KENILWORTH TERRACE NE,Washington Glass School,Community Gateway,"Welded steel, cast and fused glass",2014,Sculpture,Unity-Parkside Community Health Center,765 kenilworth terrace ne,parkside,16',7,Permanent,Commissioned Project, 95 | -77.023442266197065,38.899079272761433,94,701 9TH STREET NW,"Albert Paley, Paley Studios Ltd.",Epoch,"Formed and fabricated steel, polychrome",2004,Sculpture,"PEPCO Headquarters, outdoor plaza 9th & G Street, NW",701 9th street nw,penn quarter,12’ x 10’ 7” x 24’,2,Permanent,Downtown Projects, 96 | -77.025366126067169,38.916443542607034,95,1925 VERMONT AVENUE NW,Ed Hamilton,Spirit of Freedom Memorial,Bronze,1998,Sculpture,Memorial located across the street from the African American Civil War Museum,1925 vermont avenue nw,shaw,9',1,Permanent,Neighborhood Projects, 97 | -77.031303031287763,38.916752530073559,96,1344 U STREET NW,Latin American Youth Center Artists,Untitled,Aerosol paint,2008,Mural,Located on side of building in alley way,1344 u street nw,shaw,485 sq. feet,1,Temporary,MuralsDC, 98 | -76.986148804783156,38.844986598807175,97,1351 ALABAMA AVENUE SE,"Albus Cavus, Lead Artists: Peter Krsko, Jazirock, Michael Pinnix",Explore and Learn,Aerosol paint,2010,Mural,"Malcolm X Elementary School, mural located on front of building",1351 alabama avenue se,congress heights,,8,Temporary,MuralsDC, 99 | -77.024714762186193,38.937128758419739,98,3700 GEORGIA AVENUE NW,Lisa Scheer,New Leaf,"Bronze, granite pedestal",2007,Sculpture,"Georgia Avenue, Petworth Metro Station, located outside of metro entrance",3700 georgia avenue nw,petworth,8' x 4 1/2' x 2 1/2',4,Permanent,Art in the Metro, 100 | -77.006357969346055,38.906094997825655,99,1200 1ST STREET NE,NaDaaa Design Firm,First Street Sculpture,"Tension Cables, Compression Legs",2014,Sculpture,Corner of M Street & 1st Street,1200 1st street ne,noma,,6,Permanent,PABC Grant, 101 | -77.018708594760895,38.902939938343032,100,1035 5TH STREET NW,Ethan Kerber,Inspiration,Metal sheets,2010,Architectural,"City Vista, sculpture located on building grate",1035 5th street nw,mount vernon,25' x 25',6,Permanent,Neighborhood Projects, 102 | -77.044889997072929,38.91113414856374,101,20TH STREET NW AND Q STREET NW,Walter Whitman,"excerpt from ""Leaves of Grass""",Engraved concrete,2006,"Architectural, engraving","Dupont Circle Metro Station, located outside metro station entrance",20th street nw and q street nw,dupont circle,,2,Permanent,Art in the Metro, 103 | -77.01892994567585,38.902528941479311,102,5TH STREET NW AND K STREET NW,David Black,Lift Off,"3/8th inch Aluminum, Polyurethane Coating",2010,Sculpture,"City Vista, sculpture located in plaza",5th street nw and k street nw,mount vernon,19 x 29 x 39',6,Permanent,Neighborhood Projects, 104 | -77.044072004014936,38.915562167876153,103,FLORIDA AVENUE NW AND T STREET NW,Zachary Oxman,Encore,Stainless steel,2012,Sculpture,"Ellington Plaza, sculpture located in middle of plaza",florida avenue nw and t street nw,shaw,70”w x 95”l x 240”h,2,Permanent,Neighborhood Projects, 105 | -77.003305008346743,38.877434959841239,104,2ND STREET SE AND M STREET SE,David Hess,Waterline,Stainless Steel,2012,Sculpture,"Washington Canal Park, sculpture located in Park",2nd street se and m street se,capitol riverfront,"9'x13'x14', 9'x14'x16', 16'x14'x10'",6,Permanent,Commissioned Project, 106 | -77.032318611775167,38.925509337507989,105,14TH STREET NW AND GIRARD STREET NW,"Words, Beats and Life",The Watcher,Aerosol paint,2009,Mural,"Community Park, located in basketball court along retaining wall",14th street nw and girard street nw,columbia heights,,1,Permanent,Community Initiatives, 107 | -76.989365713970571,38.868277436766476,106,GOOD HOPE ROAD SE AND MARTIN LUTHER KING JR AVENUE SE,Wilfredo Valladares,Journey Anacostia,"Weathered steel, stained glass, paint",2013,Mural and Sculpture,"Located in open lot on corner of Good Hope Road & Martin Luther King, Jr. Avenue",good hope road se and martin luther king jr avenue se,anacostia,Bottom: H 11' x 4' x 3' - Top: L 14' x 3' x 3',8,Permanent,Commissioned Project, 108 | -77.005887130566052,38.871984357145102,107,1ST STREET SE AND POTOMAC AVENUE SE,Byron Peck and La Toya Middleton,Diamond Teague Memorial,"Ceramic, glass tile on steel",2011,Sculpture,"Diamond Teague Park, located within park near Nationals Park",1st street se and potomac avenue se,southwest waterfront,18 x 14 x 16',6,Permanent,Inter District DMPED, 109 | -77.039448124704421,38.902530886290528,108,CONNECTICUT AVENUE NW AND K STREET NW,Jefre Manuel,Pulse,Acrylic Resin Tile and lights,2013,Light Installation,"Farragut North Metro Station, installation located in metro station entrance",connecticut avenue nw and k street nw,downtown,55',2,Permanent,PABC Grant, 110 | -77.038852798906859,38.931388876007979,109,LAMONT STREET NW AND 17TH STREET NW,Hester Nelson,Lamont Park,"Tearra cotta, wood, tile mural, and decorative pavers",1995,Architectural,"Lamont Park, located in square",lamont street nw and 17th street nw,lamond-riggs,8' columns (2),1,Permanent,Community Initiatives, 111 | -76.983444701146183,38.900138540307061,110,BLADENSBURG ROAD NE AND BENNING ROAD NE,Steven Weitzman,Cornerstones of History,Reinforced FOTERA® Concrete Terrazzo,2010,Mural,Starburst Intersection Plaza,bladensburg road ne and benning road ne,langston,6' x 32',5,Permanent,Neighborhood Projects, 112 | -77.028106247593087,38.882838645779074,111,12TH STREET SW AND MAINE AVENUE SW,Byron,Southwest Gateway,Mosaics,2008,Mural,"Southwest Gateway, mosaics are located along walls within each tunnel",12th street sw and maine avenue sw,southwest,"2,400 sq. foot",6,Permanent,Neighborhood Projects, 113 | -77.072299327783924,38.918347477836363,112,W PLACE NW AND TUNLAW ROAD NW,Jarrett Ferrier,A Dedication to the Dedicated,"Mural-Latex and acrylic paint, top coated with flat polyurethane w/UV protectant qualities. Arch- Iron and painted black gloss",2014,Mural,Pedestrian stairs between 37th & Tunlaw Streets,w place nw and tunlaw road nw,burleith,Arch approx:12'wide with a 7' opening and 9'high Mural 11'high 16'long,3,Permanent,PABC Grant, 114 | -77.021914335739638,38.886330110265497,113,7TH STREET SW AND MARYLAND AVENUE SW,William Wegman,Space Set,Porcelain enamel,2004,Photography,"L' Enfant Plaza Metro Station, located inside metro station",7th street sw and maryland avenue sw,southwest,10' dia.,6,Permanent,Art in the Metro, 115 | -77.041414151002726,38.923520944089546,114,COLUMBIA ROAD NW AND CHAMPLAIN STREET NW,Jerome Meadows,Carry the Rainbow on Your Shoulders,Mixed media sculpture,1997,Sculpture,"Unity Park, intersection plaza- between Columbia Road, Champlain Street, & Euclid Street, NW",columbia road nw and champlain street nw,adams morgan,"8'x10',fountain: 5""x3' 1/2""",1,Permanent,Community Initiatives, 116 | -77.039449632006907,38.901347835241339,115,17TH STREET NW AND I STREET NW,Michael Enn Sirvet,Farragut Spheres,"Aluminum, LED lighting elements",2012,Sculpture,"Farragut West Metro Station, located inside station entrance",17th street nw and i street nw,downtown,"Installation, variable",2,Permanent,PABC Grant, 117 | -77.02066041322,38.915745873140381,116,FLORIDA AVENUE NW AND T STREET NW,Zachary Oxman,Encore,Stainless steel,2012,Sculpture,"Ellington Plaza, sculpture located in middle of plaza",florida avenue nw and t street nw,shaw,70”w x 95”l x 240”h,1,Permanent,Neighborhood Projects, 118 | -77.032643383852189,38.928814415504867,117,14TH STREET NW AND IRVING STREET NW,Megan Walsh and Casa Del Pueblo Youth,Woven Identities,"Aerosol paint, MDF panels, wood, aluminum; neon tubes",1999,Installation,"Columbia Heights Metro Station, located inside Metro station",14th street nw and irving street nw,columbia heights,6' x 33',1,Permanent,Art in the Metro, 119 | -77.044687320051466,38.924031138891621,118,ADAMS MILL ROAD NW AND ONTARIO PLACE NW,Aniekan,Untitled,Aerosol paint,2009,Mural,"Walter Pierce Park enterance, mural located along retaining wall near playground in front of basketball court",adams mill road nw and ontario place nw,mount pleasant,"2 walls- 225 sq. ft., front; 300 sq. ft., back",1,Temporary,MuralsDC, 120 | -77.021916433126066,38.905651282344834,119,7TH STREET NW AND M STREET NW,Wendy Ross,Transit,Welded and coiled steel,2007,Suspended,"McPherson Sq Metro Station, artwork located through architectural openings of the building façade",7th street nw and m street nw,mount vernon,2 spheres at 5 ft. 1 sphere at 6 ft. and one portal,6,Temporary,Art in the Metro, 121 | -77.016167176488622,38.969931166130685,120,3RD STREET NW AND VAN BUREN STREET NW,Anne Marchand,"Building Blocks, High Up Close to Heaven",Acrylic on dibond panels,2006,Mural,"Takoma Recreation Center, located inside Center",3rd street nw and van buren street nw,takoma,7' x 18',4,Permanent,Inter District DPR, 122 | -76.999644068604283,38.915666742466435,121,5TH STREET NE AND T STREET NE,"Midnight Forum, Lead Artist: Asad Walker",Changing Gears,Aerosol paint,2010,Mural,"Metropolitan Branch Bike Trail NE, mural located on bike trail not visible by public street",5th street ne and t street ne,eckington,,5,Temporary,MuralsDC, 123 | -77.038524709973331,38.901352695846086,122,17TH STREET NW AND I STREET NW,Michael Enn Sirvet,Farragut Spheres,"Aluminum, LED lighting elements",2012,Sculpture,"Farragut West Metro Station, located inside station entrance",17th street nw and i street nw,downtown,"Installation, variable",2,Permanent,PABC Grant, 124 | -76.950301001285112,38.900500050983631,123,GRANT PLACE NE AND BURNHAM PLACE NE,Barton Rubenstein,Huddle Up,Stainless steel,2014,Sculpture,"Parkside Plaza, sculptures located in park (Water)",grant place ne and burnham place ne,parkside,6 x 2.2' x 8 x 3.1' x 10 x 4',7,Permanent,PABC Grant, 125 | -76.988204949929724,38.848125456151159,124,1100 ALABAMA AVENUE SE,Sheila Crider,St. Elizabeth's Mural,"Acrylic, graphite and paper on art board",2010,Mural,Saint Elizabeth Hospital- wall located in Forensic hallway,1100 alabama avenue se,saint elizabeth's,"7' x 33' x2""",8,Permanent,Neighborhood Projects, 126 | -76.988204949929724,38.848125456151159,125,1100 ALABAMA AVENUE SE,Bill Gibbons,St. Elizabeth's Hospital,"Acrylic on canvas, glued to wall",2010,Mural,"Saint Elizabeth Hospital- main entrance to hospital, near reception desk",1100 alabama avenue se,saint elizabeth's,8 x 20',8,Permanent,Neighborhood Projects, 127 | -76.988204949929724,38.848125456151159,126,1100 ALABAMA AVENUE SE,Walter Kravitz,Butterflies at Night,Acrylic urethane on polycarbonate,2010,Suspended,Saint Elizabeth Hospital campus,1100 alabama avenue se,saint elizabeth's,"12' x 12' x 28'; 13 suspended disks each 4' diam.",8,Permanent,Neighborhood Projects, 128 | -76.988204949929724,38.848125456151159,127,1100 ALABAMA AVENUE SE,Nestor Madalengotia,Windows Into Home,Acrylic on board,2010,Mural,"Saint Elizabeth Hospital, Civil corridor",1100 alabama avenue se,saint elizabeth's,4 panels - 12' x 8' each,8,Permanent,Neighborhood Projects, 129 | -76.988204949929724,38.848125456151159,128,1100 ALABAMA AVENUE SE,Roderick Turner,Healing Gardens,Acrylic paint on dibond panels,2010,Mural,Saint Elizabeth Hospital campus,1100 alabama avenue se,saint elizabeth's,4 x 30',8,Permanent,PABC Grant, 130 | -76.93215784256401,38.908452418628208,129,1350 49TH STREET NE,Cheryl Foster,Deanwood Rocks,"Mosaic, stainless steel",2013,Sculpture,"Deanwood Recreation Center, sculpture located in front of building entrance",1350 49th street ne ,deanwood,14-16' tall,7,Permanent,Commissioned Project, 131 | -76.93215784256401,38.908452418628208,130,1350 49TH STREET NE,Amber Robles-Gordon,Beyond the Visual Rainbow,"Chicken wire, fabric",2013,"Installation, wall hanging sculpture","Deanwood Recreation Center Library, installation located inside library",1350 49th street ne ,deanwood,50',7,Permanent,Commissioned Project, 132 | -76.988352295631117,38.892011131986081,131,13TH STREET NE AND CONSTITUTION AVENUE NE,Marcia Billig,Balance,Bronze,,Sculpture,"North Lincoln Park Triangle Island, located a crossed from Maury Elementary School between 13th Street & Tennessee Avenue, NE","13th street ne & tennessee avenue, ne & constitution avenue ne",north lincoln park,12' tall x 2' wide x 2' deep base 2' x 2' x 3',6,Permanent,Community Initiatives, 133 | -77.029703182016675,38.94872784105852,132,13TH STREET NW AND ARKANSAS AVENUE NW,Jerome Meadows,"Together We Live, Together We Rise","Stone, colored concrete pathway inset with mosaics",2004,"Sculpture, mosaic","Elms Church Terrell Park, located inside park",13th street nw & arkansas avenue nw & emerson street nw,16th street heights,"1st: 6 1/2' x 30"" x7', 2nd: 12' x 5""; Walkway: 8'",4,Permanent,Community Initiatives, 134 | -77.008529036331282,38.872367224165124,133,1500 SOUTH CAPITOL STREET SE,Timeless Creations,"Josh Gibson, Frank Howard and Walter Johnson",White bronze,2009,Sculpture,"Nationals Baseball Stadium, sculptures located inside main gate of stadium",1500 south capitol street se,navy yard,7 1/2 - 8' each,6,Permanent,Neighborhood Projects, 135 | -77.008529036331282,38.872367224165124,134,1500 SOUTH CAPITOL STREET SE,Thomas Sayer,Curveball,"Polished stainless, cables, LED light",2010,Sculpture,"Nationals Baseball Stadium, work located along parking deck",1500 south capitol street se,navy yard,6-8' dia. Each,6,Permanent,Commissioned Project, 136 | -76.978627807395,38.865915649665844,135,1800 GOOD HOPE ROAD SE,Kamala Subramanian,Freedom of Mind,"Mixed, acrylic, watercolor, graphite, ink",2010,Mural,"Anacostia Library, mural located inside building",1800 good hope road se,anacostia,,8,Permanent,Inter District DCPL, 137 | -77.001306499826015,38.900212686049244,136,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 1",Wood,2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,"8' x 90""",6,Permanent,Commissioned Project, 138 | -77.001306499826015,38.900212686049244,137,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 2","Acrylic panels, resin",2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,9' x 2',6,Permanent,Commissioned Project, 139 | -77.001306499826015,38.900212686049244,138,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 3","Steel, corten steel, solar panels",2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,9' x 2 1/2',6,Permanent,Commissioned Project, 140 | -77.001306499826015,38.900212686049244,139,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 4","Reclaimed wood, paint",2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,8',6,Permanent,Commissioned Project, 141 | -77.001306499826015,38.900212686049244,140,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 5","Wood, paint, LCD screen",2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,"8' x 21""",6,Permanent,Commissioned Project, 142 | -77.001306499826015,38.900212686049244,141,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 6","Polyester resin, paint, wood, steel",2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,9 1/2',6,Permanent,Commissioned Project, 143 | -77.001306499826015,38.900212686049244,142,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 7","Wood, corten steel, photographs on acrylic panels",2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,11',6,Permanent,Commissioned Project, 144 | -77.001306499826015,38.900212686049244,143,H STREET NE FROM 3RD STREET NE TO 4TH STREET NE,Wilfredo Valladares,"DC8 Totem Poles, Totem 8",Wood,2010,Sculpture,Metropolitan Branch Trail (MBT) at the Rhode Island Entrance in NE,"300 block of h street ne (between 3rd & 4th street, ne)",old city,"8' x 40""",6,Permanent,Commissioned Project, 145 | -76.947773314656317,38.894188678040557,144,3935 BENNING ROAD NE,Rik Freeman,Knowledge,Acrylic on canvas,2010,Mural,"Benning Library, Dorothy Irene Height Library, mural located inside of building",3935 benning road ne,benning,6 x 25',7,Permanent,Inter District DCPL, 146 | -77.077778012466737,38.950164181029514,145,3950 CHESAPEAKE STREET NW,Solomon Wondimu,A Portrait of Woodrow Wilson for Woodrow Wilson High School,Ceramic wall tiles,2012,Mural,"Wilson Senior High, mural located in school",3950 chesapeake street nw,north cleveland park,12 ft. x 16 ft.,3,Permanent,Commissioned Project, 147 | -77.015727352990353,38.895452267172132,146,441 4TH STREET NW,Eglon Daley,Of the People,Acrylic on canvas,1995,Mural,"One Judiciary Square, located in lobby",441 4th street nw,judiciary square,"3 paintings: 90"" x 150""; 72"" x 210""; 90"" x 150""",2,Permanent,Downtown Projects, 148 | -77.015727352990353,38.895452267172132,147,441 4TH STREET NW,Val Lewton,Quadrature Nimbii,"Acrylic emulsion paint, brass lettering",1996,Mural,"One Judiciary Square, located in ceiling foyer of building",441 4th street nw,judiciary square,12' each/panels,2,Permanent,Downtown Projects, 149 | -77.015727352990353,38.895452267172132,148,441 4TH STREET NW,Gordon Kray,Pierre L'Enfant,Bronze,2008,Sculpture,"One Judiciary Square building, located in lobby",441 4th street nw,judiciary square,10' x 3' base,2,Permanent,Downtown Projects, 150 | -77.019474425019155,38.89784459476035,149,600 5TH STREET NW,Alex Mayer,Untitled - Circles II,Mixed media,2007,Mural,"Washington Metropolitan Area Transit Authority building, located in lobby",600 5th street nw,dupont circle,10' x 30',2,Permanent,Art in the Metro, 151 | -77.029398870954651,38.898141145840754,150,607 13TH STREET NW,Byron Peck,Scenes from Washington,Acrylic on wood,"1998, expanded in 2001",Mural,"Metro Center Station- 13th & G Street, located inside Metro station",607 13th street nw,downtown,15' x 60',2,Permanent,Art in the Metro, 152 | -77.021095471142829,38.915346996403883,151,620 T STREET NW,,Howard Theatre Walk of Fame,,2014,,Howard Theater,620 t street nw,shaw,,1,Permanent,Inter District DMPED, 153 | -77.021914335739638,38.886330110265497,152,7TH STREET SW AND MARYLAND AVENUE SW,William Wegman,Hello,Porcelain enamel,2004,Photography,"L' Enfant Plaza Metro Station, located inside station",7th street sw and maryland avenue sw,southwest,10' dia.,6,Permanent,Art in the Metro, 154 | -77.020341366610722,38.899644240368922,153,H STREET NW (BETWEEN 603 & 604),Andrew T. Crawford,Dragon Gate,Forged and fabricated painted steel,2007,"Architectural, gate","Chinatown Alley, art gate located in between two buidlings",603 h street nw (btw 603 & 604),chinatown,,2,Permanent,Downtown Projects, 155 | -77.002734331896022,38.909552292262354,154,NEW YORK AVENUE NE FROM FLORIDA AVENUE NE TO 9TH STREET NE,Kent Bloomer,Gateway Wings,Steel and aluminum,2013,Sculpture,New York Avenue Bridge,new york avenue ne from florida avenue ne to 9th street ne,noma,,5,Permanent,Intra District DDOT, 156 | -77.005070669594332,38.900211613944315,155,H STREET NE FROM 1ST STREET NW TO 2ND ST NE (100 block),Deirdre Saunder,Hopscotch Bridge,Mosaic mixed media on aluminum plates,"Mural, mosaic","Mural, mosaic",H Street Bridge (behind Union Station),100 block of h street ne (btw 1st street ne & 2nd street ne),union station,"646' Long - Each figure is approx. 7' x3' x1/2""",6,Permanent,Neighborhood Projects, 157 | -77.039779900759214,38.875688823742991,156,"ARLAND D. WILLIAMS JR. MEMORIAL BRIDGE, LIGHT TENDER'S HOUSE",Mikyoung Kim,Kaleidoscope Project,Dichroic and reflective acrylic,2010,Architectural,"Arland D. Williams Jr. Memorial Bridge, Light Tender's House, Near 14th Street Bridge over Potomac River & Ohio Drive, SW","arland d. williams jr. memorial bridge, light tender's house",east potomac park,6 1/2' x 7' each,2,Permanent,Neighborhood Projects, 158 | -76.995175318954153,38.887701612853157,157,"INTERSECTION OF 8TH STREET SE, INDEPENDENCE AVENUE SE & NORTH CAROLINA AVENUE SE",Deirdre Saunder,Kim's Garden,"Stone, Glass, Concrete, Ceramic, Found Objects, Grout, Thinset w/latex, Mapei/Laticret and sanded grout, LEED materials",2013,Mosaic,Capitol Hill Community Park,"intersection of 8th street se, independence avenue se & north carolina avenue se",capitol hill,Base 6' layer of concrete Mosaic: 250 square feet (15' diameter circle and surrounding concrete),6,Permanent,PABC Grant, 159 | -77.040723141691629,38.904973094906758,158,CONNECTICUT AVENUE NW FROM L STREET NW TO JEFFERSON PLACE NW,Lighting Connecticut Avenue,Lighting Connecticut Avenue,LED lights,2012,Light installation,"Lighting installation Connecticut Avenue; lighting installed in medians of Connecticut Avenue, NW",connecticut avenue nw from l street nw to jefferson place nw,dupont circle,350 Linear feet,2,Permanent,Golden Triangle Bid, 160 | -77.032732158873685,38.929524766390422,159,14TH STREET NW FROM IRVING STREET NW TO PARK ROAD NW,Jann Rossen-Queralt,Resonance,"Exterior porcelain floor tiles from Daltile Exterior, photographic images created utilizing enamel inks , fused glass",2009,Paving/Interactive,"Located throughout sidewalk as a series of mosaic medallion on 14th street between Park Road & Irving Street, NW",14th street nw from irving street nw to park road nw,columbia heights,Metro Plaza- 15' dia. Streetscape Medallions qty 17- 3' dia,1,Permanent,Neighborhood Projects, 161 | -77.005769368249673,38.88093716972336,160,709 NEW JERSEY AVENUE SE,Robert Kent Wilson,Water Pylons,Tile Clad Paint and Anti Graffiti Coating and LED lights,2012,Installation,"New Jersey Avenue, SE- South East Freeway underpass 695",709 new jersey avenue se,navy yard,"Column span approx. 10,000 sq. ft.",6,Temporary,PABC Grant, 162 | -76.998933525871834,38.836763780841991,161,501 MISSISSIPPI AVENUE SE,Cheryl Foster,Go With the Flow,"Mosaic, mixed media",2000,Mosaic mural,Oxon Run Outdoor Pool,441 Mississippi Avenue SE,congress heights,,8,Permanent,Community Initiatives, 163 | -77.024652572320079,38.915038395097802,162,910 WESTMINSTER STREET NW,Anne Marchand,Community,Acrylic on concrete panels,2002,Mural,"Westminster Playground, mural located on building inside park",913 westminster street nw,shaw,34 x 34',1,Permanent,Community Initiatives, 164 | -77.024652572320079,38.915038395097802,163,910 WESTMINSTER STREET NW,Jerome Meadows,Play Together and Live as One,"Mixed media, mosaic",2002,Mosaic mural,"Westminster Playground, mosaics located along perimeters inside park",913 westminster street nw,shaw,2 x 2 feet ea. (9 panels),1,Permanent,Community Initiatives, 165 | -76.995198140302179,38.862198201609047,164,1101 HOWARD ROAD SE,Martha Jackson-Jarvis,River Spirits of the Anacostia,Glass tiles,2004,"Mural, mosaic","Anacostia Metro Station, mosaic mural located alongside top section of building","1138 howard road, se",anacostia,4 feet high by 400 feet long,8,Permanent,Art in the Metro, 166 | -76.986384283508642,38.949969010152614,165,1333 EMERSON STREET NE,Stephanie Gassmann,North Michigan Park Recreation Center,Mixed media,2007,"Sculpture, suspended","North Michigan Park Recreation Center, located in Community Room",4925 13th street ne,north michigan park,"5' 6"" x 24' x 5"" D",5,Permanent,Intra District DPR, 167 | -77.024546749242916,38.928057199405309,166,797 COLUMBIA ROAD NW,Joel Bergner with youth from Latin American Youth Center’s summer program at Roosevelt H.S,Cultivating the Rebirth,"Aerosol paint, mosaic",2010,"Mural, mosaics","Bruce Monroe Community Park, mural located facing sidewalk on Columbia Road, NW",797 columbia road nw,columbia heights,,1,Temporary,MuralsDC, 168 | -77.017409462792685,38.974751008678375,167,327 CEDAR STREET NW,Sam Gilliam,From a Model to a Rainbow,Italian glass mosaic tile mounted on Aerolam panels,2011,Mosaic mural,"Mural located under metro underpass on Cedar Street, southern abutment wall",366 cedar street nw,takoma,14 x 39',4,Permanent,Community Initiatives, 169 | -76.925866590024626,38.896971104854543,168,MARVIN GAYE PARK,Bryon Peck,Marvin Gaye,"Glass, fused ceramic tile on concrete",2010,Mural,"Marvin Gaye Park, Hillbrook, mosaic is located at entrance of park",5200 Foote Street NE,Hillbrook,5 x 5',7,Permanent,Commissioned Project, 170 | -76.929641705673163,38.883941230407629,169,5032 D STREET SE,Chrysanne Stathacos,Natural Wishing,"Textile, string",2012,Installation,Sasha Bruce Youthwork,5032 D Street SE,Marshall Heights,,7,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Natural_Wishing_Chrysanne_Stathacos.png 171 | -77.00694857866678,38.90696426993064,170,51 N STREET NE,Donald E Camp & Fred Joiner,Composite Images From The Dust Shaped Heart Series,Banner,2014,Installation,,51 N Street NE,NoMa,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Composite Images from the Dust_Donald Camp.png 172 | -76.983079524742905,38.870091507624799,171,1601 16TH STREET SE,Sheila Crider with Anacostia High School Students,The Four Seasons,"Printed images on vinyl, wrapped around Homasote panels",2011,Mural,Anacostia Senior High,1601 16th Street SE,Fairlawn,,8,Permanent,Commissioned Project, 173 | -77.035953266337842,38.910886403072688,172,1529 16TH STREET NW,Wolfgang Weileder,Res Publica,Cardboard small scale construction of Supreme Coard Building,2012,"Sculpture, Installation",DC Jewish Community Center,1529 16th Street NW,Dupont Circle,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Res_Publica_Wolfgang_Weileder.png 174 | -77.027037739910057,38.980288354069415,173,7420 GEORGIA AVENUE NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Juanita E. Thornton / Shepherd Park Neighborhood Library,7420 Georgia Avenue NW,Shepherd Park,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 175 | -77.024768551253501,38.898699116426073,174,901 G STREET NW,Isabella Streffen,Hawk & Dove,Constructed small scale zeplin,2012,Installation,Martin Luther King Jr Memorial Library,901 G Street NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Hawk_and_Dove_Isabella_Streffen.png 176 | -76.99651773463215,38.884091909699784,175,403 7TH STREET SE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Southeast Neighborhood Library,403 7th Street SE,Capitol Hill,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 177 | -77.009732446939978,38.879032804610326,176,10 I STREET SW,"KUNSTrePUBLIK (Matthias Einhoff, Harry Sachs, and Philip Horst)",Fountains of D.C. (WT),Concrete mobile replica of the Temperance Fountain,2012,Sculpture,Capitol Skyline Hotel,10 'I' Street SW,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative, 178 | -77.031965085035267,38.926929325764888,177,1371 HARVARD STREET NW (Old location),Office of Experiments (OOE) (Neal White with Tina O’Connell),1x1,"Performance, prints",2012,Performance,DC Commission on the Arts and Humanities,1371 Harvard Street NW,Columbia Heights,,1,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/1x1_Office_of_Experiments.png 179 | -76.954203480108959,38.864879053411599,178,3660 ALABAMA AVENUE SE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Francis A. Gregory Neighborhood Library,3660 Alabama Avenue SE,Twining,,7,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 180 | -77.022478446309293,38.901803770394899,179,800 K STREET NW,Wolfgang Weileder,Res Publica,Cardboard small scale construction of Supreme Coard Building,2012,"Sculpture, Installation",TechWorld Plaza,800 K Street NW,Mt. Vernon Square,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Res_Publica_Wolfgang_Weileder.png 181 | -76.991346013626213,38.864608542162713,180,2235 SHANNON PLACE SE,Floating Lab Collective,Remuseum,"Lecture, panel discussion",2012,Lecture,Lightbox,2235 Shannon Place SE,Anacostia,,8,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Remuseum_Floating_Lab_Collective.png 182 | -76.993142907149121,38.882988593372097,181,921 PENNSYLVANIA AVENUE SE,Chrysanne Stathacos,Natural Wishing,"Textile, string",2012,Installation,Hill Center at the Old Naval Hospital,921 Pennsylvania Avenue SE,Capitol Hill,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Natural_Wishing_Chrysanne_Stathacos.png 183 | -77.044497546926692,38.909067739320633,182,1 DUPONT CIRCLE NW,Ali Momeni,Statuevision,Video projection,2014,Performance,"One time performance Friday October 17, 7-10pm.",1 Dupont Circle NW,Dupont Circle,,2,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Statuevision_Ali_Momeni.png 184 | -77.051098281485594,38.913899636411784,183,2320 S STREET NW,Chrysanne Stathacos,Natural Wishing,"Textile, string",2012,Installation,,2320 S Street NW,Kolorama Heights,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Natural_Wishing_Chrysanne_Stathacos.png 185 | -77.000838942703311,38.915190261207769,184,1876 4TH STREET NE,"Daniel Hopkins, Cita Sadeli, and Cody Kennedy",Crossroads,"Aerosol paint, wood, acrylic based paint",2014,Mural,Located on Metro Branch Trail near address location,1876 4th Street NE,Eckington,,5,Temporary,PABC Grant, 186 | -77.075459021314956,38.96557695120655,185,5625 CONNECTICUT AVENUE NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Chevy Chase Neighborhood Library,5625 Connecticut Avenue NW,Chevy Chase,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 187 | -77.037146892305557,38.930475177315572,186,3160 16TH STREET NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Mount Pleasant Neighborhood Library,3160 16th Street NW,Mount Pleasant,,1,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 188 | -77.064326573493275,38.944441376962004,187,4200 CONNECTICUT AVENUE NW,Wilmer Wilson IV,Henry 'Box' Brown: FOREVER,"Performance, three grades of postage stamps",2012,Performance,University of the District of Columbia,4200 Connecticut Avenue NW,Van Ness,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Henry_Box_Brown_Forever_Wilmer_Wilson_IV.png 189 | -76.991835120673187,38.897040765536339,188,1022 MARYLAND AVENUE NE,Chrysanne Stathacos,Natural Wishing,"Textile, string",2012,Installation,Sasha Bruce Youthwork,1022 Maryland Avenue NE,Trinidad,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Natural_Wishing_Chrysanne_Stathacos.png 190 | -76.988133475973513,38.867112779149913,189,1215 GOOD HOPE ROAD SE,Abigail Deville,The New Migration,"Accumulated debris and heirlooms from Washington, DC to Jacksonville, Florida",2014,"Performance, installation",,1215 Good Hope Road SE,Anacostia,,8,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/The_New_Migration_Abigail_Deville.png 191 | -77.029163689540994,38.900056472681761,190,1250 NEW YORK AVENUE NW,Clare Rojas,Untitled,"Mixed media, paint",2012,Mural,"National Museum of Women in the Arts, exterior wall",1250 New York Avenue NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Untitled_Clare_Rojas.png 192 | -76.996402032763356,38.881499292229002,191,545 7TH STREET SE,Ben Ashworth & Working Collective,Finding a Line,Built skate park,2012,Event,"Capitol Hill Arts Workshop, Spring Break Camp",545 7th Street SE,Capitol Hill,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Finding_a_Line_Ben_Ashworth_Working_Collective.png 193 | -77.015834062777458,38.878705402197774,192,900 WESLEY PLACE SW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Southwest Neighborhood Library,900 Wesley Place SW,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 194 | -77.032337998919473,38.909505039143603,193,1404 P STREET NW,Office of Experiments (OOE) (Neal White with Tina O’Connell),1x1,"Performance, prints",2012,Performance,Transformer Gallery,1404 P Street NW,Logan Circle/Shaw,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/1x1_Office_of_Experiments.png 195 | -77.013358175727063,38.879131538449954,194,200 I STREET SW,Patrick McDonough,Geo- caching,"Scavanger hunt, stones",2012,Event,City Wide,Citywide,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Geo_catching_Patrick_McDonough.png 196 | -77.057844888211861,38.933823261483923,195,3310 CONNECTICUT AVENUE NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Cleveland Neighborhood Library,3310 Connecticut Avenue NW,Cleveland Park,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 197 | -76.978627807395,38.865915649665844,196,1800 GOOD HOPE ROAD SE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Anacostia Neighborhood Library,1800 Good Hope Road SE,Fairlawn,,8,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 198 | -77.097176958678546,38.918389252462433,197,4901 V STREET NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Palisades Neighborhood Library,4901 V Street NW,Foxhall Crescents,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 199 | -77.028988467609011,38.917405060276664,198,1215 U STREET NW,Wilmer Wilson IV,Henry 'Box' Brown: FOREVER,"Performance, three grades of postage stamps",2012,Performance,Lincoln Theater,1215 U Street NW,Cardozo/Shaw,,1,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Henry_Box_Brown_Forever_Wilmer_Wilson_IV.png 200 | -77.021118402314485,38.915725072087014,199,625 T STREET NW,Marley Dawson,Construction (T Street NW),"Construction timber, fixings, Chroma Key paint",2014,"Sculpture, installation",,625 T Street NW,Cardozo/Shaw,,1,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Consturction_T_Street_NW_Marley_Dawson.png 201 | -76.988119293377679,38.900400115561439,200,1300 H STREET NE,Sanaz Mazinani,U.S.A.I.R.A.N.,"Vinyl, acrylic, LED lights",2014,"Installation, wall mural","September 7 – November 21, 2014, Performance: September 6 at 4:00 pm",1300 H Street NE,Trinidad,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/U_S_A_I_R_A_N_Sanaz_Mazinani.png 202 | -77.066009604989503,38.913442017069073,201,3260 R STREET NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Georgetown Neighborhood Library,3260 R Street NW,Georgetown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 203 | -77.079889070257806,38.947615845999906,202,4450 WISCONSIN AVENUE NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Tenley - Friendship Neighborhood Library,4450 Wisconsin Avenue NW,Tenleytown,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 204 | -77.039742730457604,38.895854463821884,203,500 17TH STREET NW,Jefferson Pinder,Ben-Hur,6 performers with constructed rowing mechanism,2012,Performance,Corcoran Gallery of Art,500 17th Street NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Ben_Hur_Jefferson_Pinder.png 205 | -77.051687873076901,38.959924944121276,204,5200 GLOVER ROAD NW,Charles Stankievech,OVER AND OUT: A 5x5 Transmission,Shortwave radio repeater station,2012,Performance,Pierce Barn,Rock Creek Park: 5200 Glover Road NW,Rock Creek Park,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Over_and_Out_A_5x5_Transmission_Charles_Stankievech.png 206 | -77.005117908072734,38.888668828067701,205,10 1ST STREET SE,Isabella Streffen,Hawk & Dove,Constructed small scale zeplin,2012,Installation,"Library of Congress, Thomas Jefferson Building",10 First Street SE,Capitol Hill,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Hawk_and_Dove_Isabella_Streffen.png 207 | -77.017553519671253,38.897762562777231,206,401 F STREET NW,Ben Jeans Houghton,SPORE,Mixed media,2012,"Sculpture, Installation",National Building Museum,401 F Street NW,Judiciary Square,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/SPORE_Ben_Jeans_Houghton.png 208 | -77.020360420508283,38.877125619082108,207,1101 6TH STREET SW,Charles Juhasz-Alvarado,Cherry Blossom Cloud,"Metal, wood",2012,"Sculpture, Installation",Arena Stage,1101 Sixth Street SW,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Cherry_Blossom_Cloud_Charles_Juhasz_Alvarado.png 209 | -76.999586598978198,38.955135595484577,208,5401 SOUTH DAKOTA AVENUE NE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Lamond-Riggs Neighborhood Library,5401 South Dakota Avenue NE,Fort Totten,,5,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 210 | -77.021677425997851,38.875902401957269,209,600 WATER STREET SW,Deborah Stratman & Steven Badgett,Polygonal Address (PA) System,"Constructed floating pentagonal raft, mixed media",2012,"Sculpture, Installation",Gangplank Marina (water street sw),600 Water Street SW,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Polygonal_Address_PA_System_Deborah_Stratman_Steven_Badgett.png 211 | -77.024855546486563,38.916793355841449,210,918 U STREET NW,REBAR,Public Art- It's a Verb!,"Lecture, panel discussion",2012,Panel discussion,"Panel Discussion: Song Architects, Central 14th Street (between Colorado and Longfellow); Design Charrette: Linn Meyers Studio, 5318 1/2 Colorado Avenue","Panel Discussion: Song Architects, 918 U Street NW; Plaza Mockup: Central 14th Street NW (between Colorado and Longfellow); Design Charrette: Linn Meyers Studio, 5318 1/2 Colorado Avenue NW",Cardozo/Shaw,,1,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Public_Art_Its_a_Verb_REBAR.png 212 | -76.975324149629856,38.843564901387076,211,1901 MISSISSIPPI AVENUE SE,Habitat for Artists,How Much? How Little? The Space to Create,"Wood constructed art studio space, mixed media",2012,Installation,THEARC,1901 Mississippi Avenue SE,Shipley,,8,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/How_Much_How_Little_The_Space_to_Create_Habitat_for_Artists.png 213 | -76.982919600894263,38.921047494003744,212,2311 14TH STREET NE,Floating Lab Collective,Remuseum,"Lecture, panel discussion",2012,Lecture,"Brentwood Recreation Center,",2311 14th Street NE,Brentwood,,5,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Remuseum_Floating_Lab_Collective.png 214 | -76.996361266804925,38.894414334422727,213,330 7TH STREET NE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Northeast Neighborhood Library,330 7th Street NE,Trinidad,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 215 | -76.929579467980361,38.888962286296433,214,5001 CENTRAL AVENUE SE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Capitol View Neighborhood Library,5001 Central Avenue SE,Marshall Heights,,7,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 216 | -77.054430898642423,38.930618664141527,215,3001 CONNECTICUT AVENUE NW,Brandon Ballengee,Love Motel for Insects,"Black Ultra-violet lights, steel, fabric, native plants, invited insects",2012,"Sculpture, Installation",The National Zoo,3001 Connecticut Ave NW,Woodley Park,,3,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Love_Motel_for_Insects_Brandon_Ballengee.png 217 | -76.994730846923588,38.850692076766265,216,2700 MARTIN LUTHER KING JR AVENUE SE,Brendan Fowler,Walls At St. Elizabeth's,"Lumber, UV cured ink on vinyl, mixed media",2014,Installation,,2700 Martin Luther King Jr Avenue SE,Anacostia,,8,Temporary,Inter District DMPED,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Walls_At_St_Elizabeths_Brendan_Fowler.png 218 | -77.026139713904797,38.942207685180321,217,4200 KANSAS AVENUE NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Petworth nNeighborhood Library,4200 Kansas Avenue NW,Petworth,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 219 | -76.992260496131536,38.863005108129727,218,2345 MARTIN LUTHER KING JR AVENUE SE,Isaac Diggs & E. Ethelbert Miller,Chalres Kneeling (Lagos 2012),Banner,2014,Installation,,2345 Martin Luther King Jr Avenue SE,Anacostia,,8,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Charles_Kneeling_Lagos_2012_Isaac_Diggs.png 220 | -77.038184690071645,38.920226708572301,219,1630 CRESCENT PLACE NW,Reko Rennie,Remember Me,"Paper, spraypaint, neon",2012,Mural,Meridian House,1630 Crescent Place NW,Adams Morgan,,1,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Remember_Me_Reko_Rennie.png 221 | -77.032405818770911,38.917451816558355,220,2000 14TH STREET NW,Larry Cook & Kenneth Carroll,Regalia #2,Banner,2014,Installation,,2000 14th Street NW,Cardozo/Shaw,,1,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Regalia_2_Larry_Cook.png 222 | -76.947773314656317,38.894188678040557,221,3935 BENNING ROAD NE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Dorothy i. Height / Benning Neighborhood Library,3935 Benning Road NE,Benning,,7,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 223 | -77.047308841015337,38.91222144699389,222,9 HILLYER COURT NW,Wolfgang Weileder,Res Publica,Cardboard small scale construction of Supreme Coard Building,2012,"Sculpture, Installation",Cosmos Club Parking Lot,Parking lot in front of 9 Hillyer Court NW,Dupont Circle,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Res_Publica_Wolfgang_Weileder.png 224 | -77.017087771127336,38.878390111832879,223,1000 4TH STREET SW,Jonathan Fung,Peep,"Metal shipping container, vinyl graphics, paint, plexiglass, wooden children blocks, sewing machines, fishing line, lead sinkers, duvetyne, CD, portable stereo",2014,"Sculpture, installation",Empty lot,1000 4th Street SW,Southwest Waterfront,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Peep_Jonathan_Fung.png 225 | -76.93215784256401,38.908452418628208,224,1350 49TH STREET NE,Floating Lab Collective,Remuseum,"Lecture, panel discussion",2012,Lecture,Deanwood Recreation Center,Deanwood Recreation Center,Deanwood,,7,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Remuseum_Floating_Lab_Collective.png 226 | -77.013619115923632,38.904010204550168,225,155 L STREET NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Northwest One Neighborhood Library,155 L Street NW,Downtown,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 227 | -77.022220648406119,38.912449616289742,226,1630 7TH STREET NW,Craig Kraft,Vivace,"Rolled aluminum, neon",2010,Sculpture,"Watha T. Daniel / Shaw Neighborhood Library, located in front of library entrance",1630 7th St NW,Logan Circle/Shaw,,6,Permanent,Neighborhood Projects, 228 | -77.003147429447807,38.87703708765455,227,202 M STREET SE,Kota Ezawa,Hand Vote,"Plywood, paint",2014,"Sculpture, installation","Canal Park, September 6 – November 21, 2014",202 M Street SE,Navy Yard,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Hand_Vote_Kota_Ezawa.png 229 | -77.035247443786574,38.955074521239183,228,5318 1/2 COLORADO AVENUE NW (Linn Meyers Studio),REBAR,Public Art- It's a Verb!,"Lecture, panel discussion",2012,Panel discussion,"Panel Discussion: Song Architects, Central 14th Street (between Colorado and Longfellow); Design Charrette: Linn Meyers Studio, 5318 1/2 Colorado Avenue","Panel Discussion: Song Architects, 918 U Street NW; Plaza Mockup: Central 14th Street NW (between Colorado and Longfellow); Design Charrette: Linn Meyers Studio, 5318 1/2 Colorado Avenue NW",16th Street Heights,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Public_Art_Its_a_Verb_REBAR.png 230 | -76.995008508572468,38.932840791103409,229,716 MONROE STREET NE,Michael Platt & Major Jackson,Enter One Way,Banner,2014,Installation,,716 Monroe St NE,Brookland,,5,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Enter_One_Way_Michael_Platt.png 231 | -77.051100201299363,38.904026937545162,230,1101 24TH STREET NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,West End Neighborhood Library,1101 24th Street NW,West End,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 232 | -76.981253586570688,38.846194308105048,231,1547 ALABAMA AVENUE SE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Parklands-Turner Neighborhood Library,1547 Alabama Avenue SE,Douglass,,8,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 233 | -77.020159155537527,38.974444213198424,232,416 CEDAR STREET NW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Takoma Park Neighborhood Library,416 Cedar Street NW,Takoma,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 234 | -76.979269681000417,38.92363301318165,233,1790 DOUGLAS STREET NE,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Woodridge Interim Library,1790 Douglas Street NE,Langdon,,5,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 235 | -76.992602892232043,38.862320310331299,234,2412 MARTIN LUTHER KING JR AVENUE SE,Diana Al-Hadid,Interior Sketch,"Polymer modified gypsum, fiberglass, stainless steel, pigment",2014,Installation,,2412 Martin Luther King Jr Avenue SE,Anacostia,,8,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Interior_Sketch_Diana_Al_Hadid.png 236 | -77.003549972275948,38.881517850853918,235,148 F STREET SE,Ben Ashworth & Working Collective,Finding a Line,Built skate park,2012,Event,Garfield Park (under the southeast freeway overpass),148 F Street SE,Capitol Hill,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Finding_a_Line_Ben_Ashworth_Working_Collective.png 237 | -77.017087771127336,38.878390111832879,236,1000 4TH STREET SW,Cameron Hockenson,Migration,"Wooden poles, bolts, washers, nuts, PVC pipe, branches, chicken wire, manila rope, twine, residential addresses, burlap, foam, house paint.",2014,"Sculpture, installation",Empty lot,1000 4th Street SW,Southwest Waterfront,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Migration_Cameron_Hockenson.png 238 | -77.017087771127336,38.878390111832879,237,1000 4TH STREET SW,Peter Hutchinson,Thrown Rope DC,"33 planted trees, 11 of each of the following: American Yellowwood, Kobus Magnolia, Bur Oak ",2014,Installation,Empty lot,1000 4th Street SW,Southwest Waterfront,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Thrown_Rope_DC_Peter_Hutchingson.png 239 | -77.017087771127336,38.878390111832879,238,1000 4TH STREET SW,Eliza Naranjo Morse & Nora Naranjo Morse,Digging,"Dirt, Shovels and picks",2014,Installation,Empty lot,1000 4th Street SW,Southwest Waterfront,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Digging_Eliza_Naranjo_Morse.png 240 | -77.017087771127336,38.878390111832879,239,1000 4TH STREET SW,Jennifer Wen Ma,Portrait Garden,"Chinese ink, various plants",2014,Installation,Empty lot,1000 4th Street SW,Southwest Waterfront,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Portrait_Garden_Jennifer_Wen_Ma.png 241 | -77.029163689540994,38.900056472681761,240,1250 NEW YORK AVENUE NW,Soda Jerk,After The Rainbow,Video projection,2014,Installation,National Museum of Woman in the Arts- Sept 19 - Nov. 2,1250 New York Avenue NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Soda_Jerk_After_The_Rainbow.png 242 | -77.029163689540994,38.900056472681761,241,1250 NEW YORK AVENUE NW,Soda Jerk,The Carousel,Video projection,2014,Installation,National Museum of Woman in the Arts- Oct. 3,1250 New York Avenue NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Soda_Jerk_The_Carousel.png 243 | -76.991346013626213,38.864608542162713,242,2235 SHANNON PLACE SE,"KUNSTrePUBLIK (Matthias Einhoff, Harry Sachs, and Philip Horst)",Fountains of D.C. (WT),Concrete mobile replica of the Temperance Fountain ,2012,Sculpture ,Old Evidence Warehouse,2235 Shannon Place SE,Anacostia,,8,Temporary,2012- 5x5 Temporary Art Initiative, 244 | -76.991346013626213,38.864608542162713,243,2235 SHANNON PLACE SE,Monica Canilao,Home Mender,"Mixed media, recycled material",2012,"Sculpture, Installation",Old Evidence Warehouse,2235 Shannon Place SE,Anacostia,,8,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Home_Mender_Monica_Canilao.png 245 | -76.994730846923588,38.850692076766265,244,2700 MARTIN LUTHER KING JR AVENUE SE,Jace Clayton,Enkutatash,Performance,2014,Performance ,"St. Elizabeth's East Gateway Pavilion- September 11th, 2014. Doors Open at 6pm, Performance 6:30-7:30pm.",2700 Martin Luther King Jr Avenue SE,Anacostia,,8,Temporary,Inter District DMPED,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Enkutatash_Jace_Clayton.png 246 | -76.994730846923588,38.850692076766265,245,2700 MARTIN LUTHER KING JR AVENUE SE,Sheila Crider,Here to Here,"Extruded aluminum, PPG acrylic urethane semi-gloss top color coat over epoxy primer, anti-graffiti coating, Solar LED Block Lights",2014,Sculpture,"Gateway Pavilion, St. Elizabeths East Campus- along Martin Luther King Jr. Avenue, SE",2700 Martin Luther King Jr Avenue SE,Anacostia,,8,Permanent,Inter District DMPED, 247 | -77.020360420508283,38.877125619082108,246,1101 6TH STREET SW,Stan Squirewell & AFAA Michael Weaver,Muck and Mire,Banner ,2014,"Sculpture, Installation",,1101 Sixth Street SW,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Muck_and_Mire_Stan_Squirewell.png 248 | -77.023108639885649,38.878319733468139,247,7TH STREET SW AND WATER STREET SW,Jo Ray,Spoken For,"Metal scaffolding, photographs printed on poster board",2012,Installation,7th and Water Street,7th Street SW and Water Street SW,Southwest Waterfront,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Spoken_For_Jo_Ray.png 249 | -77.033426187480657,38.956506393149169,248,14TH STREET NW AND COLORADO AVENUE NW,REBAR,Public Art- It's a Verb!,"Lecture, panel discussion",2012,Panel discussion,"Panel Discussion: Song Architects, Central 14th Street (between Colorado and Longfellow); Design Charrette: Linn Meyers Studio, 5318 1/2 Colorado Avenue","Panel Discussion: Song Architects, 918 U Street NW; Plaza Mockup: Central 14th Street NW (between Colorado and Longfellow); Design Charrette: Linn Meyers Studio, 5318 1/2 Colorado Avenue NW",16th Street Heights,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Public_Art_Its_a_Verb_REBAR.png 250 | -77.002251902781111,38.956816790708331,249,RIGGS ROAD NE AND SOUTH DAKOTA AVE NE,Marianne Vitale,Common Crossings (Riggs & Dakota),Steel,2014,"Sculpture, installation",,Riggs Road NE and South Dakota Avenue NE,Fort Totten,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Common_Crossings_Marianne_Vitale.png 251 | -77.017559289730684,38.883247456339518,250,4TH STREET AND E STREET SW,Dan Colen,Fortune Teller,"Boom box, cassette tape with fortune recordings, table",2014,Installation,,4th Street SW and E Street SW,Federal Center,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Fortune_Teller_Dan_Colen.png 252 | -77.019913091722117,38.892083628548193,251,6TH ST NW AND CONSTITUTION AVE NW,Soda Jerk,The Afrofuturisms of Astro Black,Video projection,2014,Installation,National Gallery of Art- Sept. 27,6th Street NW and Constitution Ave NW,National Mall,,2,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Soda_Jerk_The_Afrofuturisms_of Astro_Black.png 253 | -76.989365713970571,38.868277436766476,252,GOOD HOPE ROAD SE AND MARTIN LUTHER KING JR AVENUE SE,"Billy Colbert, Tim Conlon, & DC Youth from DCCAH’s Summer Youth Employment Program Media Arts Camp","Gateway to a Great Community 254 | Gateway to a Great Community 255 | Gateway to a Great Community 256 | ","Reclaimed wood, paint",2010,"Sculpture, mural",located on corner,Good Hope Road SE and Martin Luther King Jr Avenue SE,Anacostia,,8,Permanent,Community Initiatives, 257 | -77.003516958421002,38.88981601406195,253,2ND STREET SE AND EAST CAPITOL STREET,Wolfgang Weileder,Res Publica,Cardboard small scale construction of Supreme Coard Building,2012,"Sculpture, Installation",Capitol Street,2nd Street SE and East Capitol Street SE,Capitol Hill,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Res_Publica_Wolfgang_Weileder.png 258 | -77.017559759655398,38.884688437689036,254,4TH STREET SW AND VIRGINIA AVENUE SW,Dan Colen,Hat,"Hat, motor, cable, steel",2014,Installation,,4th Street SW and Virginia Ave SW,Federal Center,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Hat_Dan_Colen.png 259 | -77.021770409784622,38.974822990748933,255,CEDAR STREET NW AND PINEY BRANCH ROAD NW,Natalie Jeremijenko,Butterfly Bridge,"Wire, plastic, soil, flowering plants",2012,"Sculpture, Installation",Takoma Park,Cedar Street NW and Piney Branch Road NW,Takoma,,4,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Butterfly_Bridge_Natalie_Jeremijeko.png 260 | -76.988464512624404,38.867246046727033,256,1203 GOOD HOPE ROAD SE,Abigail Deville,The New Migration,"Accumulated debris and heirlooms from Washington, DC to Jacksonville, Florida",2014,"Performance, installation",,1203 Good Hope Road SE,Anacostia,,8,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/The_New_Migration_Abigail_Deville.png 261 | -76.988192597098205,38.86712963087232,257,1213 GOOD HOPE ROAD SE,Abigail Deville,The New Migration,"Accumulated debris and heirlooms from Washington, DC to Jacksonville, Florida",2014,"Performance, installation",,1213 Good Hope Road SE,Anacostia,,8,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/The_New_Migration_Abigail_Deville.png 262 | -76.988415088472735,38.867154426286852,258,1205 GOOD HOPE ROAD SE,Abigail Deville,The New Migration,"Accumulated debris and heirlooms from Washington, DC to Jacksonville, Florida",2014,"Performance, installation",,1205 Good Hope Road SE,Anacostia,,8,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/The_New_Migration_Abigail_Deville.png 263 | -77.019913091722117,38.892083628548193,259,6TH ST NW AND CONSTITUTION AVE NW,Soda Jerk,Hollywood Burn,Video projection,2014,Installation,National Gallery of Art- Oct. 26,6th Street NW and Constitution Ave NW,National Mall,,2,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Soda_Jerk_Hollywood_Burn.png 264 | -77.009367191866872,38.831333289665928,260,115 ATLANTIC STREET SW,Lize Mogel,Sight Lines,Self guided tour maps,2012,Tour,Washington Highland Neighborhood Library,115 Atlantic Street SW,Citywide,,8,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 265 | -77.003099287007544,38.875073618483626,261,200 TINGEY STREET SE,Glenn Kaino,Bridge,"Fiberglass, steel, wire, gold paint",2014,"Sculpture, installation",,200 Tingey Street SE,Navy Yard,,6,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Bridge_Glenn_Kaino.png 266 | -77.001536743162191,38.873723510066149,262,10 WATER STREET SE,Cath Campbell,Marathon,"Plastic, Wood, Aluminium, Steel Cable, Motor and Cable Car Mechanism",2012,Installation,Yards Park,10 Water Street SE,Navy Yard,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Marathon_Cath_Campbell.png 267 | -77.001097742485996,38.873323682505792,263,10 WATER STREET (East Lawn),Tattfoo Tan,S.O.S. p:ARK,"Plants: St Johnwort, dandelions, timothy, clover, pigweed, lamb’s quarter, buttercup, mullein, queen anne lace, plantain, yarrow",2012,Earth work,Yards Park,10 Water Street SE (East Lawn),Navy Yard,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/S_O_S_Park_Tattfoo_Tan.png 268 | -77.027563684922029,38.894106655663776,264,1100 PENNSYLVANIA AVENUE NW,Wilmer Wilson IV,Henry 'Box' Brown: FOREVER,"Performance, three grades of postage stamps",2012,Performance,Old Post Office Pavilion,1100 Pennsylvania Avenue NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Henry_Box_Brown_Forever_Wilmer_Wilson_IV.png 269 | -77.024768551253501,38.898699116426073,265,901 G STREET NW,Lize Mogel,Sight Lines ,Self guided tour maps,2012,Tour,Martin Luther King Jr Memorial Library,901 G Street NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 270 | -76.941818506264866,38.912634347684616,266,1550 ANACOSTIA AVENUE NE,Mia Feuer,The Flooded Lecture Series,"Lecture, panel discussion",2014,Lecture,,"Kenilworth Park, Anacostia River",Kenilworth,,7,Temporary,2014- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/The_Flooded_Lecture_Series_Mia_Feuer.png 271 | -76.93215784256401,38.908452418628208,267,1350 49TH STREET NE,Lize Mogel,Sight Lines ,Self guided tour maps,2012,Tour,Deadwood Neighborhood Library,Deadwood Neighborhood Library,Deanwood,,7,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 272 | -77.039742730457604,38.895854463821884,268,500 17TH STREET NW,Floating Lab Collective,Remuseum,"Lecture, panel discussion",2012,Lecture,Corcoran Gallery of Art,500 17th Street NW,Downtown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Remuseum_Floating_Lab_Collective.png 273 | -77.000969556622451,38.947387050544663,269,4900 JOHN MCCORMACK DR NE,Coby Kennedy,Untitled,Aerosol paint,2011,Mural,"Department of Pulbic Works, wall along Ft. Totten Transfer Station",4900 John MCcormack Dr NE,Fort Totten,,5,Temporary,MuralsDC, 274 | -77.005887729827876,38.906849026761819,270,1ST STREET NE FROM N STREET NE TO PATTERSON STREET NE,Dignidad Rebelde,"Looking Back, Seeing Forward","Paint, prints",2014,Mural,Installed on a separation wall,1ST Street NE From N Street NE To Patterson Street NE,NoMa,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Looking_Back_Seeing_Forward_Dignidad_Rebelde .png 275 | -77.022220648406119,38.912449616289742,271,1630 7TH STREET NW,Lize Mogel,Sight Lines ,Self guided tour maps,2012,Tour,Watha T. Daniel / Shaw Neighborhood Library,1630 7th St NW,Logan Circle/Shaw,,6,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Sight_Lines_Lize_Mogel.png 276 | -77.022942358983087,38.899142594501292,272,8TH STREET NW FROM G STREET NW TO H STREET NW,Floating Lab Collective,Remuseum,"Lecture, panel discussion",2012,Lecture,Pepco Edison Place Gallery,8TH Street NW From G Street NW To H Street NW,Chinatown,,2,Temporary,2012- 5x5 Temporary Art Initiative,http://octo.dc.gov/sites/default/files/dc/sites/octo/multimedia_content/images/Remuseum_Floating_Lab_Collective.png 277 | --------------------------------------------------------------------------------