Mathew K Analytics📊 Dataset · CSV
aapl_finance_charts.csv
Free CSV dataset “aapl_finance_charts.csv” (506 rows × 11 columns, 58.3 KB) used in 1 Python lesson, including “Python Data Analytics #11: Fetching &…
- Size58.3 KB
- Rows506
- Columns11
- Used in1 lesson
Preview (first rows)
| Date | AAPL.Open | AAPL.High | AAPL.Low | AAPL.Close | AAPL.Volume | AAPL.Adjusted | dn | mavg | up | direction |
|---|---|---|---|---|---|---|---|---|---|---|
| 2015-02-17 | 127.489998 | 128.880005 | 126.919998 | 127.830002 | 63152400 | 122.905254 | 106.7410523 | 117.9276669 | 129.1142814 | Increasing |
| 2015-02-18 | 127.629997 | 128.779999 | 127.449997 | 128.720001 | 44891700 | 123.760965 | 107.842423 | 118.9403335 | 130.0382439 | Increasing |
| 2015-02-19 | 128.479996 | 129.029999 | 128.330002 | 128.449997 | 37362400 | 123.501363 | 108.8942449 | 119.8891668 | 130.8840887 | Decreasing |
| 2015-02-20 | 128.619995 | 129.5 | 128.050003 | 129.5 | 48948400 | 124.510914 | 109.7854494 | 120.7635001 | 131.7415509 | Increasing |
| 2015-02-23 | 130.020004 | 133.0 | 129.660004 | 133.0 | 70974100 | 127.876074 | 110.3725162 | 121.7201668 | 133.0678174 | Increasing |
| 2015-02-24 | 132.940002 | 133.600006 | 131.169998 | 132.169998 | 69228100 | 127.078049 | 111.0948689 | 122.6648335 | 134.2347981 | Decreasing |
| 2015-02-25 | 131.559998 | 131.600006 | 128.149994 | 128.789993 | 74711700 | 123.828261 | 113.2119183 | 123.6296667 | 134.0474151 | Decreasing |
| 2015-02-26 | 128.789993 | 130.869995 | 126.610001 | 130.419998 | 91287500 | 125.395469 | 114.1652991 | 124.2823333 | 134.3993674 | Increasing |
Columns
| Column | Type | Missing | Example |
|---|---|---|---|
Date | text | 0 | 2015-02-17 |
AAPL.Open | decimal | 0 | 127.489998 |
AAPL.High | decimal | 0 | 128.880005 |
AAPL.Low | decimal | 0 | 126.919998 |
AAPL.Close | decimal | 0 | 127.830002 |
AAPL.Volume | integer | 0 | 63152400 |
AAPL.Adjusted | decimal | 0 | 122.905254 |
dn | decimal | 0 | 106.7410523 |
mavg | decimal | 0 | 117.9276669 |
up | decimal | 0 | 129.1142814 |
direction | text | 0 | Increasing |
Load it in Python
import pandas as pd
df = pd.read_csv("aapl_finance_charts.csv")
df.head()
