Data Analysis by Python

Programming & Development Math / Algorithms / Analytics

$22/hr Starting at $25

This is a project on the riders' riding duration, their age, gender, and the start station points. I did the analysis and Python and found that

The highest percentage of bike riders are between 25 and 35 years old.
Three-quarters of the riders are males while the female are almost a quarter while the other gender is 2%.
The majority of the riders ride for less than 5000 seconds and are aged between 25 and 35 years. The majority of Riders riding for longer hours are within the same age bracket. A few elders beyond 70 years ride for more than 10000 seconds.
On average the male ride for a shorter period than the female and the other gender.
In general, start stations having the highest number of riders do not have highest average riding durations.

$22/hr Ongoing

This is a project on the riders' riding duration, their age, gender, and the start station points. I did the analysis and Python and found that

The highest percentage of bike riders are between 25 and 35 years old.
Three-quarters of the riders are males while the female are almost a quarter while the other gender is 2%.
The majority of the riders ride for less than 5000 seconds and are aged between 25 and 35 years. The majority of Riders riding for longer hours are within the same age bracket. A few elders beyond 70 years ride for more than 10000 seconds.
On average the male ride for a shorter period than the female and the other gender.
In general, start stations having the highest number of riders do not have highest average riding durations.

AnalyticsData AnalysisData VisualizationMathematicsMicrosoft ExcelPower BIPythonStatistical Analysis

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