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Customer Analytics: Explore and analyze data related to bikeshare systems for three major cities

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bikeshare-data udacity-data-analyst-nanodegree python-notebook eda wrangling

bikeshare_data's Introduction

BikeShare_Data

  • Assignment for Udacity Data Analyst Nano Degree [DAND] program using data provided by Motivate
  • Files include Python Notebook with completed code, HTML document version of final Python Notebook and supporting CSV files
  • Zip file ending as '..NirupamaPRV' contains updated version of .ipynb and .webarchive as per project review.

Project Objectives and Overview

  • Explore data related to bikeshare systems for three major bikeshare systems in the United States : Chicago, New York and Washington DC
  • Perform data wrangling to unify the format of data from the three systems
  • Compute descriptive statistics in Python, pandas and numPy to answer the questions posed about the data
  • Use matplotlib to convey statistics and distributions like trip durations, etc.
  • Describe applications of data analysis techniques and imcrease familiarity with following documentation links

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