Choropleth Maps — 101 using Plotly

Choropleth Maps — 101 using Plotly

Choropleth Maps - 101 using Plotly. An Introduction to Choropleth Maps using Plotly graphing library. This is an attempt in that direction. You can use this as a guide to choropleth maps, or plotly, or both.

I have been working as a Data Analyst for almost 5 years now but, in this time I have mostly used business intelligence software for all my data visualization tasks. So my experience with visualization has been limited to knowing when to plot a bar chart vs a line chart. To correct this, I have recently taken up to learn matplotlib and other plotting and graphing libraries. This is an attempt in that direction. You can use this as a guide to choropleth maps, or plotly, or both. Hope this helps.

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Map by Our World in Data

Choropleth Maps are a type of thematic map in which areas are shaded or patterned in proportion to a statistical variable (from Wikipedia). This map for example shows the share of adults who were obese in 2016.

Plotly is a company based in Canada, that develops analytics and data visualization tools. They have created an open-source scientific graphing library for Python, which I am using here.

For this task, I am looking at data for Religious Adherents in the United States (Source: theARDA.com). The data contains County-level information for different religious groups for the years 1980, 1990, 2000 & 2010. It also includes the population of the counties in that year, along with some other information.

python plotly choropleth-map data-visualization

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