V. Isualize, The CEO of Pyber, a ride-sharing app company valued at $2.3 billion, needs an Semi-annual analysis on the company's ride-sharing data from January through May of 2019. Presented to her will be full breakdown analysis with visualization of the following:

• A bubble chart that showcases the Average Fare per ride with bubble size based on the total number of drivers for each city type: Urban, Suburban, and Rural.
• Determine the mean, median, and mode for:
  • The total number of rides for each city type.
  • The average fares for each city type.
  • The total number of drivers for each city type.
• A Box-and-whisker plots with determined outliers that visualizes:
  • The number of rides for each city type.
  • The fares for each city type.
  • The number of drivers for each city type.
• A Pie chart that visualizes, for each city type, :
  • The percent of total fares.
  • The percent of total rides.

• Anaconda PythonData environment: Matplotlib 3.5.1
• SciPy
• NumPy
• Pandas
• Python 3.7.13
• Jupiter Notebooks 6.4.8

_{*Average Fare per ride with bubble size based on the total number of drivers for each city type: Urban, Suburban, and Rural}

_{*The percent of total fares.}

_{*The max, median, and min for the number of drivers for each city type}

Rural Cities:

• The lowest semi-annual revenue of $4,327.93 from 125 total rides, and only 78 total drivers.
• Averaged the highest median of $34.62 fare per ride and $55.49 fare per driver.

Suburban Cities:

• Suburban cities coming in second with an semi-annual revenue of $19,356.33 from January to May,
• had 625 total rides with only 490 total drivers.
• The average fare per ride was $30.97, the average fare per driver came to $39.50

Urban Cities:

• Urban city drivers were averaging the least fare per ride at $16.47, with average fare per ride costing $24.50.
• Having the highest recorded total rides of 1,625 and almost 1.5 times as many drivers, 2,405,
• Urban cities racked up nearly $39,854.38 in total fares from January to May of 2019.

A few recommendations that will balance out the city type disparaties:

• Maintain the metrics for the Suburban and Rural cities. These cities are performing efficiently.
• Decrease the surplus number of drivers for the Urban city type, which will balance out the unused drivers and increase the fare per driver metric.
• Increase the fare per ride in Urban cities to increase the average fare per dirver.