Mathew K Analytics

📊 Dataset · CSV

aapl_clean.csv

Free CSV dataset “aapl_clean.csv” (506 rows × 11 columns, 58.9 KB) used in 4 Python lessons, including “Python Data Analytics #13: Technical Indicators on…

Preview (first rows)

DateAAPL.OpenAAPL.HighAAPL.LowAAPL.CloseAAPL.VolumeAAPL.Adjusteddnmavgupdirection
2015-02-17127.489998128.880005126.919998127.83000263152400122.905254106.7410523117.9276669129.1142814Increasing
2015-02-18127.629997128.779999127.449997128.72000144891700123.760965107.842423118.9403335130.0382439Increasing
2015-02-19128.479996129.029999128.330002128.44999737362400123.501363108.8942449119.8891668130.8840887Decreasing
2015-02-20128.619995129.5128.050003129.548948400124.510914109.7854494120.7635001131.7415509Increasing
2015-02-23130.020004133.0129.660004133.070974100127.876074110.3725162121.7201668133.0678174Increasing
2015-02-24132.940002133.600006131.169998132.16999869228100127.078049111.0948689122.6648335134.2347981Decreasing
2015-02-25131.559998131.600006128.149994128.78999374711700123.828261113.2119183123.6296667134.0474151Decreasing
2015-02-26128.789993130.869995126.610001130.41999891287500125.395469114.1652991124.2823333134.3993674Increasing

Columns

ColumnTypeMissingExample
Datetext02015-02-17
AAPL.Opendecimal0127.489998
AAPL.Highdecimal0128.880005
AAPL.Lowdecimal0126.919998
AAPL.Closedecimal0127.830002
AAPL.Volumeinteger063152400
AAPL.Adjusteddecimal0122.905254
dndecimal0106.7410523
mavgdecimal0117.9276669
updecimal0129.1142814
directiontext0Increasing

Load it in Python

import pandas as pd
df = pd.read_csv("aapl_clean.csv")
df.head()