One thing I admire about Obsidian is its Graph view. I was imagining how it will look like if we make a similar graph view with the blogposts, its categories, and tags.
The similar graph is available in the Logseq as well. I was going through the Logseq’s repos to understand how the graph was built. It was using clojure which is beyond my knowledge.
Finally, it’s completed. The visualization is live now - visuals → ipl2025.
The learning from this activity is quite a long list.
If you look at the chart it’s a combination of
Data visualization is one field that has kept me captivated for some time now. The graphics published in sites like FT, Reuters, or NYT made me wonder why I don’t spend time on the skill.
The good volume and variety of data that is available is available all the time. Share market—daily; IPL—yearly. I find each of the cricket matches, no matter if they are Test, ODI, or T20, generates so much data. I tried once with the ODI World Cup; it’s not at all a good one. It’s been a couple of years, and I’m planning to visualize this IPL. My preferred tool is D3JS, and even with that, I’m limited to a few shapes.
First we started with a circle. The dial is composed of a bigger circle and a smaller one - a center point.
With the dial is in place, next step is to add arms of the clock. The end result should have 3 arms - depicting hours, minutes and seconds. To have quicker feedback we started with seconds arm.
Drawing the radius solves the initial position of seconds arm. However, to have the arm goes around the clock, we need to calculate (x,y) coordinates.
To keep myself from overthinking or having negative thoughts, I should focus my energy on something creative. Also, the creativity should pique my curiosity. Essentially, I should spend time learning something. Personal finance is something that we monitor and learn about in a daily manner. The PF has a variety of numbers and data to deal with. It’s more like clay that allows you to come up with any sculpture.
Why I chose to pursue a journey in Data Visualization? This post is an explainer to the above question.
Data Engineering is my day job. SQL and Python have fed me and kept me going for last decade. For the uninitiated, the work involves fetching data from several sources and loading into desired target. The source and target could be a database, API endpoint, or file.
This is a follow up to last month’s post on same name.
Scope for improvement
This is a follow up to last month’s post on same name.
There are few changes made to the chart.
title tag to implement the tooltip. This is not a major change or in other words the tooltip can be better. For that we have to go for CSS method, which is still a bit far from my reach.Scope for improvement
This is an attempt to recreate the earlier created blog post through D3js.
I’m more of backend developer, working predominantly in Python + SQL. But, trying out JS is long time wish, which got fufilled through a Udemy course and some good imspiration.
The visuals can be improved vastly and can add few more options. But this post is to show the progress. Also, this is an attempt to conform that D3JS output can be hosted on our static site.
Once in a while we stumble into something interesting while we are not looking for it. This is a post on how I came across a chart while going through an online course, the experience in replicating the chart, the lessons I learnt.
The instructor of the course - Course: Data Visualization Fundamentals and Best Practices by ObservableHQ. While going through his website I found this interesting chart - Blog Calendar.
Displaying his blog posts over the years in a chart was something I’m seeing for the first time. Since then even during his class I was seeing it how it was built and imagining how it would look for my blog. During the time provide for the final assignment, I doubled down and spent time on exploring tools to recreate the chart.