Python script written to explore US bikeshare data
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Updated
Apr 20, 2018 - Python
Python script written to explore US bikeshare data
Udacity DAND project - Use Python to understand U.S. bikeshare data. Calculate statistics and build an interactive environment where a user chooses the data and filter for a dataset to analyze.
Houston Area map data is cleaned to analyse the data.
Project work as part of Udacity nanodegree course
An interactive program in which a user chooses the data and filters for a dataset to analyze and show some statistics.
Udacity Project - OpenStreetMap Data Analysis
Udacity Data Analyst Nanodegree career development projects.
Udacity DANP Project 2 - Explore US Bikeshare Data using Python
Used data munging techniques to assess the quality of Liverpool OpenStreetMap dataset for validity, accuracy, completeness, consistency and uniformity. (Python, SQL, data verification, data cleaning)
The second project on Udacity's Data Analyst Nanodegree
Udacity Data Analysis Nanodegree Program | Project 1
Project 5 on Udacity's Data Analyst Nanodegree
Wrangling and exploring the OpenStreetMap data of the state of Delaware, US using Python and SQL. Submitted as the project for Data Wrangling for Udacity Data Analyst Nanodegree.
This project filters data for three cities, this project saves your time and extracts the data that you need.
Predict whether an individual is a person of interest based on their enron email.
📊 Projects for the Udacity Data Analyst nanodegree
Udacity DAND project - Python script written to explore US bikeshare data
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