Everything You Never Wanted to Know about Geographic Charting Before the start of seventh grade, my family moved, and I started a new school that had as required module, cartography. Over a few weeks, we painstakingly drew maps of states, continents and eventually the entire world. My backpack became filled with various stencils, a compass, colored pencils, pens of multiple weights, and even tracing paper. It was one of the more frustrating parts of my schooling and I remember thinking “Why would I ever need this?
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Almost 10 PieCharts 10 Python Libraries Here is a follow-up to our “10 Heatmaps 10 Libraries” post. For those of you who don’t remember, the goal is to create the same chart in 10 different python visualization libraries and compare the effort involved. All of the Jupyter notebooks to create these charts are stored in a public github repo Python-Viz-Compared. Each Jupyter notebook will contain one chart (bar, scatter etc) and then up to 10 different ways of implementing them.
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10 Heatmaps 10 Libraries I recently watched Jake VanderPlas’ amazing PyCon2017 talk on the landscape of Python Data Visualization. That presentation inspired this post. In programming, we often see the same ‘Hello World’ or Fibonacci style program implemented in multiple programming languages as a comparison. In Jake’s presentation, he shows the same scatter plot in several of the libraries he featured. Below, I am following the same formula. I am recreating a heatmap about airline flights, in ten different python visualization libraries.
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Algorex Health Technologies

A blog for technology, policy, and grievances in the Open Health World

Opening the Healthcare Technology Doors

Boston, Massachusetts