In this week's lab we were tasked with making an infographic. Essentially, this is a layout form constituted by different communicative data layouts (graphs, proportional symbology, choropleth maps, scatterplots, pie charts, etc.) These layout forms can communicate single variables or multitudes of variables and are an excellent way to consolidate information on the facets into a single, neat, and legible communicative display.
For this lab, we were tasked with finding two varialbes from the National County Health Rankings, which aggregate health data per U.S. county, and visually communicating their potential relationship in an infographic. For this exercise, I chose the percent of adults who smoke per each 100,000 residents of each count and the percent of adults who report fair or poor health per every 100,000 of conty residents. As these are percentages with using the same volume of poulation to express the ration, these are already normalized.
After selecting my variaibles, I used the Microsoft Excel option to create a scatterplot to ensure there was a correlation, otherwise the purpose of this infogrpahic would be rather moot. Once I witnessed that there was indeed a relationship, I created a simple spreadsheet containing only the requistite data and exported it as a .CSV file (as to be input into an ArcGIS attribute table) and did precisely that. All cells containing null data were eliminated to avoid skewing in our classifications.
I created choropleth maps of each variale and placed them in my layout. I then investigated supplementary data to include in the infographic as communicating the severity of this relationship is imperative to the purpose of the infographic. Using the chart options in Microsoft Excel, I then created bar graphs and scatterplots illustrating this relationship and quanntifying the counties and their subsequent states with the lowest and highest correlation.
ArcGIS has the Business Analyst/ Infographic option which creates more vibrant and contemporary appearing charts which I am eager to explore and will in my final project (which will also be an infographic).
I used a fill color form the primary choropleth map too add some color to the overall infographic.
Below is my final infographic:
For this lab, we were tasked with finding two varialbes from the National County Health Rankings, which aggregate health data per U.S. county, and visually communicating their potential relationship in an infographic. For this exercise, I chose the percent of adults who smoke per each 100,000 residents of each count and the percent of adults who report fair or poor health per every 100,000 of conty residents. As these are percentages with using the same volume of poulation to express the ration, these are already normalized.
After selecting my variaibles, I used the Microsoft Excel option to create a scatterplot to ensure there was a correlation, otherwise the purpose of this infogrpahic would be rather moot. Once I witnessed that there was indeed a relationship, I created a simple spreadsheet containing only the requistite data and exported it as a .CSV file (as to be input into an ArcGIS attribute table) and did precisely that. All cells containing null data were eliminated to avoid skewing in our classifications.
I created choropleth maps of each variale and placed them in my layout. I then investigated supplementary data to include in the infographic as communicating the severity of this relationship is imperative to the purpose of the infographic. Using the chart options in Microsoft Excel, I then created bar graphs and scatterplots illustrating this relationship and quanntifying the counties and their subsequent states with the lowest and highest correlation.
ArcGIS has the Business Analyst/ Infographic option which creates more vibrant and contemporary appearing charts which I am eager to explore and will in my final project (which will also be an infographic).
I used a fill color form the primary choropleth map too add some color to the overall infographic.
Below is my final infographic:
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