A new Dig the Data was published yesterday. It has some data insights from StoreGrader which is an app I have been working on for a while now.
For this edition of Dig the Data, I wanted to create a nice looking interactive infographic, and I wanted to combine both static and interactive elements. My previous Dig the Data visualization was quite minimal, but had full interactivity. However, it lacked a bit of the feeling of “niceness” that some static graphics can provide (as well as the magic touch of a designer, which I am not). A good example of this “niceness” is the first Dig the Data, where the entire visualization is a static image created by my colleague Julia.
This time, I teamed up with Maria to create a visualization that combines both static insights (with a bit of animation) as well as interactive graphs to explore.
I am very pleased with the result, and you can check out the post here.
listen 443 ssl;
listen 443 ssl http2;
Done… I wish all tech upgrades were this easy.
Time flies when you are having fun, and it has definitely been a while since the last edition of Dig the Data. But now it is here: Dig the Data, Heating Up.
This time, d3 behaved very well and was much easier to use than before. Who would have known that practice actually makes things easier :-)
The Apache Beam SDK for Python is currently lacking some of the transforms found in the Java SDK. I created a very minimal example of an Apache Beam MongoDB read transform for Python that might be useful for someone else looking for an answer.
I will update this post in the future if/when the Apache maintainers include support for MongoDB in the SDK. I know I could contribute to the project directly, but I don’t have time for it right now unfortunately :-)
I made a little Anniversary Edition of Dig the Data. This one is much bigger in scope than the last one, and it also took quite a while to get everything working. Data visualization with D3 is still quite new to me, but it is exciting to not only crunch data but also visualize it. Enjoy :-)