create a geo map visualization showing the average trip duration per starting station

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Citi Bike is the nation's largest bike share program, with 12,000 bikes and 750 stations across Manhattan, Brooklyn, Queens and Jersey City. It can be used for quick trips with convenience in mind, and it’s also a fun and affordable way to get around town. The following data set contains bike sharing transactions for July, August, and September 2019: This data set contains the following attributes: tripduration (seconds) starttime: (Excel date & time format) stoptime: (Excel date & time format) start_station_id (integer) start_station_name (alphanumeric) start_station_latitude (latitude) start_station_longitude (longitude) end_station_id (integer) end_station_name (alphanumeric) end_station_latitude (latitude) end_station_longitude longitude) bike_id (integer) usertype (Customer = time based rental, Subscriber = annual member) birthyear (integer, yyyy) gender (integer, Zero=unknown, 1=male, 2=female) Use Tableau to analyze the above data set and create visualizations to answer the following questions:

1. Analyze starting point stations and corresponding trip times. Create a geo map visualization showing the average trip duration per starting station. You can do this by having the station mark size increase with the average trip duration. (4 points)

2. Analyze starting point stations to their ending point stations. Create a table visualization that shows the average time between station points. (3 points)

3. Analyze the top ten starting point stations by number of rentals. Use a horizontal bar chart for the visualization, where the row is the station and is in descending order. (3 points)

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