Skip to content

Instantly share code, notes, and snippets.

View lekhovitsky's full-sized avatar

Dima Lekhovitsky lekhovitsky

View GitHub Profile

Keybase proof

I hereby claim:

  • I am lekhovitsky on github.
  • I am lekhovitsky (https://keybase.io/lekhovitsky) on keybase.
  • I have a public key ASB8HkSrHEtjvkCgi_-uq3CIEMU9gStTjPyTNMPzqzikiwo

To claim this, I am signing this object:

We can't make this file beautiful and searchable because it's too large.
date,symbol,sector,open,high,low,close,volume
2019-01-01,A,Health Care,65.7833,66.9137,65.7833,66.8939,1572100.0
2019-01-01,AAL,Industrials,31.6955,32.2189,31.2905,31.7152,5334700.0
2019-01-01,AAP,Consumer Discretionary,155.8126,157.4401,154.7542,157.2205,752500.0
2019-01-01,AAPL,Information Technology,156.1761,156.9938,154.1566,155.3979,35003500.0
2019-01-01,ABBV,Health Care,84.3097,85.5891,83.9692,84.8528,5722100.0
2019-01-01,ABC,Health Care,72.7043,73.6758,71.988,73.0085,1028400.0
2019-01-01,ABMD,Health Care,320.3,329.91,320.3,325.04,483700.0
2019-01-01,ABT,Health Care,70.0984,71.2639,70.0102,70.8428,6094300.0
2019-01-01,ACN,Information Technology,138.1236,138.9992,137.13,138.7238,1826400.0
We can't make this file beautiful and searchable because it's too large.
date,ticker,sector,open,high,low,close,volume
2019-01-01,A,Health Care,65.7833,66.9137,65.7833,66.8939,1572100.0
2019-01-01,AAL,Industrials,31.6955,32.2189,31.2905,31.7152,5334700.0
2019-01-01,AAP,Consumer Discretionary,155.8126,157.4401,154.7542,157.2205,752500.0
2019-01-01,AAPL,Information Technology,156.1761,156.9938,154.1566,155.3979,35003500.0
2019-01-01,ABBV,Health Care,84.3097,85.5891,83.9692,84.8528,5722100.0
2019-01-01,ABC,Health Care,72.7043,73.6758,71.988,73.0085,1028400.0
2019-01-01,ABMD,Health Care,320.3,329.91,320.3,325.04,483700.0
2019-01-01,ABT,Health Care,70.0984,71.2639,70.0102,70.8428,6094300.0
2019-01-01,ACN,Information Technology,138.1236,138.9992,137.13,138.7238,1826400.0
We couldn’t find that file to show.
We can't make this file beautiful and searchable because it's too large.
date,ticker,sector,open,high,low,close,volume
2019-01-01,A,Health Care,65.7833062147755,66.91374689853333,65.7833062147755,66.89391049133492,1572100.0
2019-01-01,AAL,Industrials,31.695450885067086,32.2189332845209,31.290492020475515,31.71520543551001,5334700.0
2019-01-01,AAP,Consumer Discretionary,155.81263039851896,157.4401405931657,154.75424523613145,157.22048925893785,752500.0
2019-01-01,AAPL,Information Technology,156.17613566302455,156.99381357613564,154.15657118194062,155.39787224551378,35003500.0
2019-01-01,ABBV,Health Care,84.3097396244508,85.58911177042863,83.96919167126273,84.85278636776768,5722100.0
2019-01-01,ABC,Health Care,72.70432853090936,73.67581845100798,71.98798554502079,73.00853584833176,1028400.0
2019-01-01,ABMD,Health Care,320.29998779296875,329.9100036621094,320.29998779296875,325.0400085449219,483700.0
2019-01-01,ABT,Health Care,70.09837924861141,71.26391289120136,70.01023341304703,70.8427542409602,6094300.0
2019-01-01,ACN,Information Technology,138.123642835238,138.9992123734391,137.1
We can make this file beautiful and searchable if this error is corrected: It looks like row 10 should actually have 8 columns, instead of 6. in line 9.
date,symbol,high,low,open,close,volume,sector
2019-01-02,XLK,61.57676592872259,59.83970861600885,59.918663884099786,61.21158981323242,15442900.0,Information Technology
2019-01-02,XLY,98.97956281818311,95.49673051169985,96.01964765313284,98.42704772949219,6840800.0,Consumer Discretionary
2019-01-02,XLP,49.285431166156,48.61388929744975,48.89613298490262,49.12971115112305,20459000.0,Consumer Staples
2019-01-02,XLE,55.15525369458053,52.60689035673783,52.8785884025537,54.78986358642578,24892600.0,Energy
2019-01-02,XLF,23.585426835090143,22.928915078576342,22.99750555226506,23.536434173583984,62945000.0,Financials
2019-01-02,XLU,51.158543562342366,50.130720723023536,51.110061981056916,50.43130874633789,25173900.0,Utilities
2019-01-02,XLB,49.92148738831049,48.48172584931479,48.75596471913326,49.73539352416992,9096300.0,Materials
2019-01-02,XLRE,29.904999502693386,29.187667492526725,29.856529999283303,29.362154006958008,10445000.0,Real Estate
2019-01-02,XLC,41.672479788965994,40.17054612238821,40.249854216403044,41.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
country continent year gdpPerCap lifeExp pop
Afghanistan Asia 2009 1454.6630148346899 60.483999999999995 28394813
Afghanistan Asia 2010 1637.3779870888 61.028 29185507
Afghanistan Asia 2011 1626.76479325583 61.553000000000004 30117413
Afghanistan Asia 2012 1806.7639297532603 62.053999999999995 31161376
Afghanistan Asia 2013 1874.7656344942002 62.525 32269589
Afghanistan Asia 2014 1897.5259375952103 62.966 33370794
Afghanistan Asia 2015 1886.6929769036103 63.376999999999995 34413603
Afghanistan Asia 2016 1896.9925195748199 63.763000000000005 35383128
Afghanistan Asia 2017 1934.6367541203501 64.13 36296400
@lekhovitsky
lekhovitsky / population_prospects.csv
Created November 11, 2019 17:36
Dataviz HW 1 file
year population type
1950 37297.64 estimate
1951 37815.54 estimate
1952 38360.078 estimate
1953 38915.814 estimate
1954 39471.403 estimate
1955 40019.483 estimate
1956 40557.034 estimate
1957 41085.019 estimate
1958 41607.893 estimate