The project involves analysing information about individual bike rides of Ford GoBike company which has 700 bikes and 70 stations over San Francisco and San Jose. The information about the fields in the dataset containing 180k rows and 16 columns were cleaned and the column data types are changed as per the requirement. Using bivariate exploration, the relationship between the daily commuters and occasional tourist visitors’ trends like more trips taken in terms of day of week, month of year was compared and visualized. Visualization involving more than two variables like which age group people travel maximum number of bike trips in a year and how the patterns changes between the daily commuters and tourists’ visitors.
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Venkatesh-Balavadani/Gun-Purchase-Trend
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