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https://github.com/itzzmeakhi/us-bikeshare-data

This project was done as a part of Data Analytics Nanodegree. In this project bikeshare data ( rented bikes) of three cities(washington, new york & chicago ) were taken. The patterns among the data like frequent route, frequent end and start station etc were displayed to the user based on his input (performed respect to day or month or both). The data given was processed so doesn't contain any null values, And this project is done at my beginner level so no scope of visualizations included in it.
https://github.com/itzzmeakhi/us-bikeshare-data

numpy pandas python3

Last synced: about 1 month ago
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This project was done as a part of Data Analytics Nanodegree. In this project bikeshare data ( rented bikes) of three cities(washington, new york & chicago ) were taken. The patterns among the data like frequent route, frequent end and start station etc were displayed to the user based on his input (performed respect to day or month or both). The data given was processed so doesn't contain any null values, And this project is done at my beginner level so no scope of visualizations included in it.

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