Assignment # 4: Time Series Visualization Using Tableau Public

Time Series Visualization 

The goal of this assignment is for you to create a time-series visualization using Tableau Public based on a curated dataset. You will work with Monthly Modal Time Series data sourced from Data.gov, which contains 12 different variables

  • I created a tree map to show the ridership of a select few cities in the dataset. A tree map is a great way to visually compare the relative size of each city’s ridership. The bigger the block, the higher the ridership for that city.
  • From the tree map, it’s clear that Philadelphia has a much larger ridership compared to the other cities. This makes sense because it’s one of the largest cities in the U.S. with a dense transit system.
  • This chart helped me quickly identify which cities are leading in ridership and which ones have smaller numbers.





  • For the Area Chart, I focused on vehicle revenue miles, vehicle revenue hours, and ridership from 2014 to 2019. An area chart is useful here because it shows how these measures change over time.
  • Each year from 2014 to 2019, I summed up the values for vehicle revenue miles, hours, and ridership across all cities. The areas are stacked on top of each other, so you can see how each measure contributes to the total over the years.
  • The chart shows the overall trend in these metrics over time. It highlights how the values change year by year and gives a good sense of whether things are increasing or decreasing.
  • By stacking the measures, I can easily compare them in one chart and see which one has the biggest changes over time.



These charts helped me analyze and compare data across cities and over time. The Tree Map was great for understanding the relative sizes of cities in terms of ridership, while the Area Chart allowed me to explore how different measures (vehicle revenue miles, hours, and ridership) have changed over several years.


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