├── .gitattributes ├── .gitignore ├── Basic visualization concepts in Matplotlib.ipynb ├── Data-Extraction--CDE-API-fixed-width.ipynb ├── Data-Extraction--CDE-XLS.ipynb ├── Data-Extraction--NASA-Text.ipynb ├── Data-Extraction--Texas-Death-Row-Executions.ipynb ├── Data-Extraction--Texas-Death-Row-Inmates.ipynb ├── README.md ├── Visualization -- Learning to use pandas and DataFrames with matplotlib.ipynb ├── Visualization--All-About-Labeling.ipynb ├── Visualization--Multiples-Variety.ipynb ├── Visualization--Multiples-with-Standard-Subplots.ipynb ├── Visualization--School-Scores-and-Poverty.ipynb ├── Wrangling -- Intro to pandas.DataFrames.ipynb ├── Wrangling--Pandas-DataFrame-Concatenations-and-Rolling-Calculations.ipynb ├── Wrangling--Pivot-Tables-with-Pandas.ipynb ├── data ├── climate │ ├── extracted │ │ ├── nasa-ghgases-co2-mean.csv │ │ ├── nasa-gistemp-5year-mean.csv │ │ └── nasa-gistemp-annual-mean.csv │ └── raw │ │ ├── nasa-ghgases-fig1A.ext.txt │ │ └── nasa-gistemp-figA.txt ├── fbi │ ├── extracted │ │ └── 06tbl08.csv │ └── raw │ │ ├── 06tbl08.xls │ │ └── ucr-cius │ │ ├── 2006 │ │ └── 2006.zip │ │ ├── 2007 │ │ └── 2007.zip │ │ ├── 2008 │ │ └── 2008.zip │ │ └── 2009 │ │ └── 2009.zip ├── financial │ ├── raw │ │ ├── companies │ │ │ ├── AAPL.csv │ │ │ ├── AMZN.csv │ │ │ ├── BABA.csv │ │ │ ├── BIDU.csv │ │ │ ├── BOX.csv │ │ │ ├── CRM.csv │ │ │ ├── CSCO.csv │ │ │ ├── DATA.csv │ │ │ ├── EBAY.csv │ │ │ ├── EXPE.csv │ │ │ ├── FB.csv │ │ │ ├── FIT.csv │ │ │ ├── GOOG.csv │ │ │ ├── GPRO.csv │ │ │ ├── GRPN.csv │ │ │ ├── GRUB.csv │ │ │ ├── HPQ.csv │ │ │ ├── HUBS.csv │ │ │ ├── IBM.csv │ │ │ ├── LNKD.csv │ │ │ ├── MSFT.csv │ │ │ ├── NFLX.csv │ │ │ ├── ORCL.csv │ │ │ ├── P.csv │ │ │ ├── PCLN.csv │ │ │ ├── PYPL.csv │ │ │ ├── RENN.csv │ │ │ ├── SQ.csv │ │ │ ├── TWTR.csv │ │ │ ├── YELP.csv │ │ │ ├── YHOO.csv │ │ │ ├── YNDX.csv │ │ │ ├── ZEN.csv │ │ │ └── ZNGA.csv │ │ ├── nasdaq-daily--2000-2015.csv │ │ ├── nasdaq-daily--2016-04-21 │ │ ├── nasdaq-monthly--2016-04-21.csv │ │ ├── sp-daily--2000-2015.csv │ │ ├── sp-daily--2016-04-21.csv │ │ └── sp-monthly--2016-04-21.csv │ └── wrangled │ │ ├── tech-companies-daily-changes.csv │ │ └── tech-companies-daily.csv ├── nypd │ ├── extracted │ │ ├── bulk-data-nypd-7-major-felonies.csv │ │ └── sample-nypd-7-major-felonies.csv │ ├── raw │ │ ├── sample-nypd-7-major-felonies.csv │ │ └── stops-and-frisks--2015.csv │ └── wrangled │ │ ├── stops-and-frisks--2010.csv │ │ ├── stops-and-frisks--2011.csv │ │ ├── stops-and-frisks--2012.csv │ │ ├── stops-and-frisks--2013.csv │ │ ├── stops-and-frisks--2014.csv │ │ └── stops-and-frisks--2015.csv ├── schools │ ├── extracted │ │ ├── 14avgtx.csv │ │ ├── frpm-2014.csv │ │ └── sat-2014.csv │ └── raw │ │ ├── 14avgtx.txt │ │ ├── 14avgtx.zip │ │ ├── frpm0910.xls │ │ ├── frpm1314.xls │ │ ├── sat10.xls │ │ └── sat14.xls ├── sf │ └── raw │ │ └── bulk-data.sfgov.org--20060101-20160401--cuks-n6tp.csv ├── tx-death-penalty │ └── extracted │ │ ├── texas-death-row.csv │ │ └── texas-executed.csv └── usgs 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