├── .ipynb_checkpoints └── Exploratory Data Analysis-checkpoint.ipynb ├── Exploratory Data Analysis.ipynb ├── README.md └── titanic.csv /.ipynb_checkpoints/Exploratory Data Analysis-checkpoint.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [], 3 | "metadata": {}, 4 | "nbformat": 4, 5 | "nbformat_minor": 5 6 | } 7 | -------------------------------------------------------------------------------- /Exploratory Data Analysis.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "id": "eaafb776-0345-473f-aa5c-551ef094567c", 6 | "metadata": {}, 7 | "source": [ 8 | "## **Exploratory Data Analysis - EDA**\n", 9 | "\n", 10 | "- **EDA** is applied to investigate the data and summarize the key insights.It gives you the basic understanding of your data, it’s distribution, null values and much more. \n", 11 | "\n", 12 | "- You can either explore data using graphs or through some python functions. There are two type of analysis. Univariate and Bivariate. In the **univariate**, you analyze single attribute while in bivariate, analyze an attribute with the target attribute.\n", 13 | "\n", 14 | "- In the non-graphical approach, you use functions such as shape, summary, describe, isnull, info, datatypes and more. while in the graphical approach, you use plots such as scatter, box, bar, density and correlation plots.\n" 15 | ] 16 | }, 17 | { 18 | "cell_type": "markdown", 19 | "id": "2d5bd6c0-5a63-4d65-b3c6-f67a2ad2cfe4", 20 | "metadata": { 21 | "tags": [] 22 | }, 23 | "source": [ 24 | "### **Exploratory Data Analysis** \n", 25 | "1). Collect the data \n", 26 | "\n", 27 | "2). Load the data\n", 28 | "\n", 29 | "3). Get the basic Infomation about the data\n", 30 | "\n", 31 | "4). Handle duplicate values\n", 32 | "\n", 33 | "5). Handle the unique values in the data\n", 34 | "\n", 35 | "6). Visualize unique count\n", 36 | "\n", 37 | "7). Find null values\n", 38 | "\n", 39 | "8). Replace null values\n", 40 | "\n", 41 | "9). Know the data type \n", 42 | "\n", 43 | "10). Fillter data \n", 44 | "\n", 45 | "11). Get data's box plot \n", 46 | "\n", 47 | "12). Get the basic Infomation about the data\n", 48 | "\n", 49 | "13). Create correation plot \n" 50 | ] 51 | }, 52 | { 53 | "cell_type": "code", 54 | "execution_count": 10, 55 | "id": "99c7e5ac-bdc4-4667-90fc-a88d88360b72", 56 | "metadata": {}, 57 | "outputs": [], 58 | "source": [ 59 | "#1). Collect the data" 60 | ] 61 | }, 62 | { 63 | "cell_type": "code", 64 | "execution_count": 11, 65 | "id": "2dba4413-8b31-433b-a74b-c13acab6688e", 66 | "metadata": {}, 67 | "outputs": [], 68 | "source": [ 69 | "#2). Load the data\n", 70 | "#Load the required libraries\n", 71 | "import pandas as pd\n", 72 | "import numpy as np\n", 73 | "import seaborn as sns" 74 | ] 75 | }, 76 | { 77 | "cell_type": "code", 78 | "execution_count": 12, 79 | "id": "a41fb92f-a22e-49e6-9532-426f6e87a7a2", 80 | "metadata": {}, 81 | "outputs": [], 82 | "source": [ 83 | "#Load the data\n", 84 | "df = pd.read_csv('titanic.csv')" 85 | ] 86 | }, 87 | { 88 | "cell_type": "code", 89 | "execution_count": 13, 90 | "id": "0954f272-63a9-403a-819d-eff5db6e9b11", 91 | "metadata": {}, 92 | "outputs": [ 93 | { 94 | "data": { 95 | "text/html": [ 96 | "
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PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", 206 | "
" 207 | ], 208 | "text/plain": [ 209 | " PassengerId Survived Pclass \\\n", 210 | "0 1 0 3 \n", 211 | "1 2 1 1 \n", 212 | "2 3 1 3 \n", 213 | "3 4 1 1 \n", 214 | "4 5 0 3 \n", 215 | "\n", 216 | " Name Sex Age SibSp \\\n", 217 | "0 Braund, Mr. Owen Harris male 22.0 1 \n", 218 | "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", 219 | "2 Heikkinen, Miss. Laina female 26.0 0 \n", 220 | "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", 221 | "4 Allen, Mr. William Henry male 35.0 0 \n", 222 | "\n", 223 | " Parch Ticket Fare Cabin Embarked \n", 224 | "0 0 A/5 21171 7.2500 NaN S \n", 225 | "1 0 PC 17599 71.2833 C85 C \n", 226 | "2 0 STON/O2. 3101282 7.9250 NaN S \n", 227 | "3 0 113803 53.1000 C123 S \n", 228 | "4 0 373450 8.0500 NaN S " 229 | ] 230 | }, 231 | "execution_count": 13, 232 | "metadata": {}, 233 | "output_type": "execute_result" 234 | } 235 | ], 236 | "source": [ 237 | "#View the data\n", 238 | "df.head()" 239 | ] 240 | }, 241 | { 242 | "cell_type": "code", 243 | "execution_count": 14, 244 | "id": "ade9ff3a-137a-4c20-beeb-8b6707c8dbab", 245 | "metadata": {}, 246 | "outputs": [ 247 | { 248 | "name": "stdout", 249 | "output_type": "stream", 250 | "text": [ 251 | "\n", 252 | "RangeIndex: 891 entries, 0 to 890\n", 253 | "Data columns (total 12 columns):\n", 254 | " # Column Non-Null Count Dtype \n", 255 | "--- ------ -------------- ----- \n", 256 | " 0 PassengerId 891 non-null int64 \n", 257 | " 1 Survived 891 non-null int64 \n", 258 | " 2 Pclass 891 non-null int64 \n", 259 | " 3 Name 891 non-null object \n", 260 | " 4 Sex 891 non-null object \n", 261 | " 5 Age 714 non-null float64\n", 262 | " 6 SibSp 891 non-null int64 \n", 263 | " 7 Parch 891 non-null int64 \n", 264 | " 8 Ticket 891 non-null object \n", 265 | " 9 Fare 891 non-null float64\n", 266 | " 10 Cabin 204 non-null object \n", 267 | " 11 Embarked 889 non-null object \n", 268 | "dtypes: float64(2), int64(5), object(5)\n", 269 | "memory usage: 83.7+ KB\n" 270 | ] 271 | } 272 | ], 273 | "source": [ 274 | "#3). Get the basic Infomation about the data \n", 275 | "\n", 276 | "\"\"\"\n", 277 | "The df.info() function will give us the basic information about the dataset. For any data, it is good to \n", 278 | "start by knowing its information. \n", 279 | "\"\"\"\n", 280 | "\n", 281 | "df.info()\n" 282 | ] 283 | }, 284 | { 285 | "cell_type": "code", 286 | "execution_count": 15, 287 | "id": "0f421b70-201f-41ca-b986-3d4f91c93be1", 288 | "metadata": {}, 289 | "outputs": [ 290 | { 291 | "data": { 292 | "text/html": [ 293 | "
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PassengerIdSurvivedPclassAgeSibSpParchFare
count891.000000891.000000891.000000714.000000891.000000891.000000891.000000
mean446.0000000.3838382.30864229.6991180.5230080.38159432.204208
std257.3538420.4865920.83607114.5264971.1027430.80605749.693429
min1.0000000.0000001.0000000.4200000.0000000.0000000.000000
25%223.5000000.0000002.00000020.1250000.0000000.0000007.910400
50%446.0000000.0000003.00000028.0000000.0000000.00000014.454200
75%668.5000001.0000003.00000038.0000001.0000000.00000031.000000
max891.0000001.0000003.00000080.0000008.0000006.000000512.329200
\n", 403 | "
" 404 | ], 405 | "text/plain": [ 406 | " PassengerId Survived Pclass Age SibSp \\\n", 407 | "count 891.000000 891.000000 891.000000 714.000000 891.000000 \n", 408 | "mean 446.000000 0.383838 2.308642 29.699118 0.523008 \n", 409 | "std 257.353842 0.486592 0.836071 14.526497 1.102743 \n", 410 | "min 1.000000 0.000000 1.000000 0.420000 0.000000 \n", 411 | "25% 223.500000 0.000000 2.000000 20.125000 0.000000 \n", 412 | "50% 446.000000 0.000000 3.000000 28.000000 0.000000 \n", 413 | "75% 668.500000 1.000000 3.000000 38.000000 1.000000 \n", 414 | "max 891.000000 1.000000 3.000000 80.000000 8.000000 \n", 415 | "\n", 416 | " Parch Fare \n", 417 | "count 891.000000 891.000000 \n", 418 | "mean 0.381594 32.204208 \n", 419 | "std 0.806057 49.693429 \n", 420 | "min 0.000000 0.000000 \n", 421 | "25% 0.000000 7.910400 \n", 422 | "50% 0.000000 14.454200 \n", 423 | "75% 0.000000 31.000000 \n", 424 | "max 6.000000 512.329200 " 425 | ] 426 | }, 427 | "execution_count": 15, 428 | "metadata": {}, 429 | "output_type": "execute_result" 430 | } 431 | ], 432 | "source": [ 433 | "\n", 434 | "# Using \"dataframe.describe()\", you can see the number of null values, datatypes, and memory usage.\n", 435 | "\n", 436 | "df.describe() \n" 437 | ] 438 | }, 439 | { 440 | "cell_type": "code", 441 | "execution_count": 16, 442 | "id": "4e480e16-169d-4923-bd1e-f4a75d6c39c4", 443 | "metadata": {}, 444 | "outputs": [ 445 | { 446 | "data": { 447 | "text/plain": [ 448 | "0" 449 | ] 450 | }, 451 | "execution_count": 16, 452 | "metadata": {}, 453 | "output_type": "execute_result" 454 | } 455 | ], 456 | "source": [ 457 | "#4). Handle duplicate values \n", 458 | "#You can use the df.duplicate.sum() function to the sum of duplicate value present if any. \n", 459 | "df.duplicated().sum()" 460 | ] 461 | }, 462 | { 463 | "cell_type": "code", 464 | "execution_count": 17, 465 | "id": "944faa7e-f25a-4bd3-961d-0a3bed5453f3", 466 | "metadata": {}, 467 | "outputs": [ 468 | { 469 | "data": { 470 | "text/plain": [ 471 | "array(['male', 'female'], dtype=object)" 472 | ] 473 | }, 474 | "execution_count": 17, 475 | "metadata": {}, 476 | "output_type": "execute_result" 477 | } 478 | ], 479 | "source": [ 480 | "#5). Handle the unique values in the data \n", 481 | "df['Pclass'].unique()\n", 482 | "\n", 483 | "df['Survived'].unique()\n", 484 | "\n", 485 | "df['Sex'].unique()" 486 | ] 487 | }, 488 | { 489 | "cell_type": "code", 490 | "execution_count": 20, 491 | "id": "4830f037-3fa8-472f-af38-ebdf69228423", 492 | "metadata": {}, 493 | "outputs": [ 494 | { 495 | "name": "stderr", 496 | "output_type": "stream", 497 | "text": [ 498 | "C:\\Users\\user\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", 499 | " warnings.warn(\n" 500 | ] 501 | }, 502 | { 503 | "ename": "AttributeError", 504 | "evalue": "'AxesSubplot' object has no attribute 'unique'", 505 | "output_type": "error", 506 | "traceback": [ 507 | "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", 508 | "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", 509 | "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_14668\\2286487763.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m#6). Visualize unique count\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcountplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Pclass'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m;\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", 510 | "\u001b[1;31mAttributeError\u001b[0m: 'AxesSubplot' object has no attribute 'unique'" 511 | ] 512 | }, 513 | { 514 | "data": { 515 | "image/png": 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\n", 516 | "text/plain": [ 517 | "
" 518 | ] 519 | }, 520 | "metadata": {}, 521 | "output_type": "display_data" 522 | } 523 | ], 524 | "source": [ 525 | "#6). Visualize unique count \n", 526 | "sns.countplot(df['Pclass']).unique();" 527 | ] 528 | }, 529 | { 530 | "cell_type": "code", 531 | "execution_count": null, 532 | "id": "55b6e58b-3ff8-4d7e-ba53-772545109da8", 533 | "metadata": {}, 534 | "outputs": [], 535 | "source": [ 536 | "#7). Find null values\n", 537 | "df.isnull().sum()" 538 | ] 539 | }, 540 | { 541 | "cell_type": "code", 542 | "execution_count": null, 543 | "id": "f7a6d1ab-deec-4dfd-9d7b-f164cf9b170a", 544 | "metadata": {}, 545 | "outputs": [], 546 | "source": [ 547 | "#8). Replace null values\n", 548 | "df.replace(np.nan,'0',inplace = True)\n", 549 | "\n", 550 | "#Check the changes now\n", 551 | "df.isnull().sum()" 552 | ] 553 | }, 554 | { 555 | "cell_type": "code", 556 | "execution_count": null, 557 | "id": "b9cffe38-22a8-4a90-a4f2-57a8327ea88c", 558 | "metadata": {}, 559 | "outputs": [], 560 | "source": [ 561 | "#9). Know the data type\n", 562 | "df.dtypes" 563 | ] 564 | }, 565 | { 566 | "cell_type": "code", 567 | "execution_count": null, 568 | "id": "b01e7c38-005e-4005-b0e4-0d9cd65fd20c", 569 | "metadata": {}, 570 | "outputs": [], 571 | "source": [ 572 | "#10). Fillter data\n", 573 | "#You can filter the data based on some logic. Example: \n", 574 | "df[df['Pclass']==1].head()" 575 | ] 576 | }, 577 | { 578 | "cell_type": "code", 579 | "execution_count": null, 580 | "id": "746dcbba-968d-4bde-ac83-d8ed975f5aa7", 581 | "metadata": {}, 582 | "outputs": [], 583 | "source": [ 584 | "#11). Get data's box plot \n", 585 | "You can create a box plot for any numerical column using a single line of code.\n", 586 | "df[['Fare']].boxplot()" 587 | ] 588 | }, 589 | { 590 | "cell_type": "markdown", 591 | "id": "a9de85aa-9b68-4e6b-ba27-a58c6ed036af", 592 | "metadata": {}, 593 | "source": [ 594 | "#### **13). Create correation plot** \n", 595 | "Finally, find the correlation among the variables, we can make use of the correlation function. This will give you a fair idea of the correlation strength between different variables." 596 | ] 597 | }, 598 | { 599 | "cell_type": "code", 600 | "execution_count": null, 601 | "id": "c9aa80cd-5996-4429-8338-e78d376257b4", 602 | "metadata": {}, 603 | "outputs": [], 604 | "source": [ 605 | "#Correlation \n", 606 | "df.corr()" 607 | ] 608 | }, 609 | { 610 | "cell_type": "markdown", 611 | "id": "70b4750b-8409-4039-98ea-ab2f646a6757", 612 | "metadata": {}, 613 | "source": [ 614 | "This is the correlation matrix with the range from +1 to -1 where +1 is highly and positively correlated and -1 will be highly negatively correlated.\n", 615 | "\n", 616 | "**You can even visualize the correlation matrix using seaborn library as shown below.**" 617 | ] 618 | }, 619 | { 620 | "cell_type": "code", 621 | "execution_count": 19, 622 | "id": "6375c883-c718-4695-99d8-e4f1f1587a08", 623 | "metadata": {}, 624 | "outputs": [ 625 | { 626 | "data": { 627 | "text/plain": [ 628 | "" 629 | ] 630 | }, 631 | "execution_count": 19, 632 | "metadata": {}, 633 | "output_type": "execute_result" 634 | }, 635 | { 636 | "data": { 637 | "image/png": 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\n", 638 | "text/plain": [ 639 | "
" 640 | ] 641 | }, 642 | "metadata": {}, 643 | "output_type": "display_data" 644 | } 645 | ], 646 | "source": [ 647 | "#Correlation plot\n", 648 | "sns.heatmap(df.corr())" 649 | ] 650 | }, 651 | { 652 | "cell_type": "markdown", 653 | "id": "61cba0c9-999a-4751-b6cb-39354f6da3c6", 654 | "metadata": {}, 655 | "source": [ 656 | "EDA is the most important part of any analysis. You get to know many things about your data. You find answers to your most of the questions with EDA. I have tried to show most of the python functions used for exploring the data with visualizations. " 657 | ] 658 | }, 659 | { 660 | "cell_type": "markdown", 661 | "id": "33718e32-69ef-48d0-bc9b-88d80546da95", 662 | "metadata": {}, 663 | "source": [ 664 | "Additional Materials: https://towardsdatascience.com/exploratory-data-analysis-8fc1cb20fd15" 665 | ] 666 | }, 667 | { 668 | "cell_type": "code", 669 | "execution_count": 21, 670 | "id": "95016e25-bb0b-4403-a234-2843f9d0354c", 671 | "metadata": {}, 672 | "outputs": [ 673 | { 674 | "name": "stdin", 675 | "output_type": "stream", 676 | "text": [ 677 | " 10\n", 678 | " 10\n", 679 | " 10\n" 680 | ] 681 | }, 682 | { 683 | "name": "stdout", 684 | "output_type": "stream", 685 | "text": [ 686 | "30\n" 687 | ] 688 | } 689 | ], 690 | "source": [] 691 | }, 692 | { 693 | "cell_type": "code", 694 | "execution_count": null, 695 | "id": "7c7779e1-34bf-444c-a550-0c42217f3f36", 696 | "metadata": {}, 697 | "outputs": [], 698 | "source": [] 699 | } 700 | ], 701 | "metadata": { 702 | "kernelspec": { 703 | "display_name": "Python 3 (ipykernel)", 704 | "language": "python", 705 | "name": "python3" 706 | }, 707 | "language_info": { 708 | "codemirror_mode": { 709 | "name": "ipython", 710 | "version": 3 711 | }, 712 | "file_extension": ".py", 713 | "mimetype": "text/x-python", 714 | "name": "python", 715 | "nbconvert_exporter": "python", 716 | "pygments_lexer": "ipython3", 717 | "version": "3.9.13" 718 | } 719 | }, 720 | "nbformat": 4, 721 | "nbformat_minor": 5 722 | } 723 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## **Data Processing With Python Guide** 2 | 3 | Data processing consists of gathering and manipulating data elements to return useful, potentially valuable information. Different encoding types will have various processing formats. The most known formats for encodings are XML, CSV, JSON, and HTML. 4 | 5 | With Python, you can manage some encoding processes, and it’s better suited for data processing than other languages due to its simple syntax, scalability, and cleanliness that allows solving different complex problems in multiple ways. 6 | 7 | -------------------------------------------------------------------------------- /titanic.csv: -------------------------------------------------------------------------------- 1 | PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked 2 | 1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S 3 | 2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C 4 | 3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S 5 | 4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S 6 | 5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S 7 | 6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q 8 | 7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S 9 | 8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S 10 | 9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S 11 | 10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C 12 | 11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S 13 | 12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S 14 | 13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S 15 | 14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S 16 | 15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S 17 | 16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S 18 | 17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q 19 | 18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S 20 | 19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S 21 | 20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C 22 | 21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S 23 | 22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S 24 | 23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q 25 | 24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S 26 | 25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S 27 | 26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S 28 | 27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C 29 | 28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S 30 | 29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q 31 | 30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S 32 | 31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C 33 | 32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C 34 | 33,1,3,"Glynn, Miss. 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