Mathew K Analytics

📊 Dataset · CSV

update_demo.csv

Free CSV dataset “update_demo.csv” (15 rows × 7 columns, 1.4 KB) used in 1 Python lesson, including “Scheduling Financial Data Updates for Automated…

Preview (first rows)

DateTickerCloseHighLowOpenVolume
2026-07-08AAPL313.3900146484375314.82000732421875307.04998779296875311.910003662109441323500
2026-07-08GOOGL361.9200134277344367.8399963378906358.0199890136719364.76000976562522094800
2026-07-08MSFT383.3399963378906385.30999755859375381.3299865722656384.029998779296925908300
2026-07-09AAPL316.2200012207031316.5299987792969308.1600036621094310.51000976562548124500
2026-07-09GOOGL358.8900146484375359.6499938964844351.0799865722656354.309997558593724729100
2026-07-09MSFT384.3599853515625384.6499938964844373.3500061035156374.450012207031331083200
2026-07-10AAPL315.32000732421875316.9100036621094312.1700134277344314.720001220703134132300
2026-07-10GOOGL357.17999267578125357.82000732421875352.75357.529998779296918146100

Columns

ColumnTypeMissingExample
Datetext02026-07-08
Tickertext0AAPL
Closedecimal0313.3900146484375
Highdecimal0314.82000732421875
Lowdecimal0307.04998779296875
Opendecimal0311.9100036621094
Volumeinteger041323500

Load it in Python

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