Important Links

Visual Analytics - Install/Run Instructions Install Instructions: In order to edit the application, the user needs to install R and R-Studio The version of R that I am using is 4.1.2 Here is the link to R: https://www.r-project.org/ Here is the link to R-Studio: https://rstudio.com/products/rstudio/download/ Here are the packages that need

Visual Analytics - Project Description The purpose of this application is to visualize 2019 taxi data in Chicago. Like in Project 1 and Project 2. There were several timeframe filters that the user is able to see the data from, including: Day of the Week - the user can see the number of rides that occurred every day of the week of 2019

Visual Analytics - Data Information Links to the data Main Taxi Data: https://data.cityofchicago.org/Transportation/Taxi-Trips-2019/h4cq-z3dy Community Area Data: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6 Data Preparation Pre-importation: As per the instructions of

Visual Analytics - Findings A few interesting findings include: One thing that a user can tell from looking at the map is that, for pickup and drop-off, there is more of a concentration of taxi rides in the northern community areas of Chicago. Overall, the Near North Side seems to be the community area with the greatest

CS 424 Project 3

Note: If the page says an error has occurred because it was too slow to load, just hit refresh and it should load up

Mahima1234/CS424Project3 (github.com)

CS424Project3Video - YouTube

Page updated

Report abuse