Chicago Private School Dashboard and USA Child Poverty Dashboard (Lab 7 - Week 8)

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Chicago Private School Enrollment (Lab 7 - Dashboard 1)

This dashboard was created using Chicago Data Portal public data on the enrollment status of private schools within Cook County Illinois. The dashboard consists of four main components which are a map symbolized by each town, a map showing enrollment numbers that is symbolized by color and proportional size, a listing of all address locations, and a Google Maps viewer that shows the satellite view of a selected location. All of the elements of this dashboard are tied together so if you click on a data point in one, it will zoom-to and/or highlight the corresponding data point in all of the other dashboard components. This dashboard seeked to employ our understanding of color and color blind friendly map making by using the website ColorBrewer2.org to find a color pallete that is suitable for the most amount of audiences. Addtionally, I included filters in the top right to drill down to specific cities using a drop down value selector, grades served by another drop down selector, or simply finding an address of interest using a wildcard search tool. Explore the data, click on things, and look at the dashboard! Ryan Facks - zID 2027325

USA Child Poverty Metrics Dashboard (Lab 7 - Dashboard 2)

This second dashboard is a continuation one of our previous labs, lab 3 - task 3, where the focus was making a scatterplot of USA Child Poverty rates per County. We continued this Tableau workbook by creating a dashboard as well as two new map sheets, one for Poverty Rate for related children under 18, and one for percent of children under 18 living in single-parent households. Again, we used the Colorbrewer2.org website to select a color pallete that is colorblind friendly and then used Tableau to create a diverging color scheme of 6 classes. The final dashboard deliverable has three main components (map for poverty rate, map for single-parent households, scatterplot from lab 3-3), filters that apply to all components, and the familiar dashboard items we are used to such as data credits, tilte, description, sources, etc. This dashboard was created like the dashboard before in that I utlized floating insertion of elements and spent some time editing titiles, moving elements, and creating an organized presentation of the data. Click around and explore it! Ryan Facks - zID 2027325

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EAE 452/552 Geovisualization Created by Ryan J Facks Hello Class! This is Ryan Facks EAE 452 webpage for use in assignments and projects. Department of Earth, Atmosphere and Environment Northern Illinois University Blogger Home Page Home Lab Assignments Lab 1 Figure 2-12 Lab 1 Figure 2-13 Lab 2 - Tasks 1 - 3 Lab 2 - Tasks 4 - 5 Lab 3 - Tasks 1 - 2 Lab 3 - Task 3 Lab 4 - Task 1 part 1 and 2 Lab 4 - Task 2 Lab 4 - Task 3 Lab 5 - Task 1 Lab 5 - Task 2 Lab 6 - Dashboard Lab 7 - Dashboard 1 and 2 Lab 8 - Web Map 1 and 2 Lab 9 - Task 1 - Part 1 and 2 Lab 9 - Task 2 - Dashboard, v...
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Final Project - Chicago Divvy Bike Usage in 2019

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← Back to Home Chicago Divvy Bike Usage Dashboard (EAE 452 Final Project) This dashboard is used for my final project for EAE 452. This dashboard seeks to provide a spatial temporal analysis of Divvy Bike usage across Chicago in 2019. I restricted my analysis to a single full year for two main reasons. One, the Chicago data portal only has data for 2013 - 2019 and two, there are simply too many records for Tableau to handle on my computer if I include all available data (It was over 21 million records!). The dashboard is constructed with four main components; The map view of stations and their usage numbers, the trips by hour bar chart, and the total trips bar chart, and an embeded Google maps area. All four elements are connected together due to a shared data source, dashboard actions, and there are data filters to further drill down on the data. For example, you can select a particular day of the week an...
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