https://github.com/athari22/statistics-from-stock-data
Statistics from Stock Data
https://github.com/athari22/statistics-from-stock-data
cvs data data-science dataanalysis datacleaning dataframe jupyter pandas pandas-python python statistics stock table
Last synced: 24 days ago
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Statistics from Stock Data
- Host: GitHub
- URL: https://github.com/athari22/statistics-from-stock-data
- Owner: Athari22
- Created: 2024-09-16T06:37:21.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-09-16T06:39:39.000Z (8 months ago)
- Last Synced: 2025-04-05T20:43:18.103Z (24 days ago)
- Topics: cvs, data, data-science, dataanalysis, datacleaning, dataframe, jupyter, pandas, pandas-python, python, statistics, stock, table
- Language: Jupyter Notebook
- Homepage:
- Size: 359 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Statistics from Stock Data
This project is a learning project from the [udacity](https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104) for the Programming for Data Science with Python Nanodegree Program.
# Description
In this lab we will load stock data into a Pandas Dataframe and calculate some statistics on it. We will be working with stock data from Google, Apple, and Amazon. All the stock data was downloaded from yahoo finance in CSV format. In your workspace you should have a file named GOOG.csv containing the Google stock data, a file named AAPL.csv containing the Apple stock data, and a file named AMZN.csv containing the Amazon stock data. (You can see the workspace folder by clicking on the Jupyter logo in the upper left corner of the workspace. The solution notebook is also available there.) All the files contain 7 columns of data: