This is the 3rd project in the Udacity Data Analyst Nanodegree program he data consists of information regarding 183,000 rides made in a bike-sharing system covering the greater San Francisco Bay area.
Cleaned FordGoBike data for 2019 was analyzed using different pots (univariate and multivariate) to draw conclusion over the distribution relation between different categorical and numerical variables
Automating the ingestion of data into Google Cloud Storage (GCS) with bash scripts
This Project carries out the data visualization of the Ford Gobike data set for the month of February 2019. A slide deck is provided which presents key insights about the service.
Data Analysis | FordGoBike and Lyft Bay Wheels Bike Sharing | Descriptive Statistics
Data Exploration of FordBike System is the final project of the Udacity Data Analyst Nanodegree. The dataset includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area. It was requested to investigate this dataset to get at least some insights.
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