Posted on Jul 9, 2020 in opinion
There is more that we can be doing to increase diversity in tech teams in the US and in Europe. I took the last couple of weeks to think about pragmatic ways in which we can build healthy and diverse organizations. Ideas that are based on empathy toward another human being and not on fulfilling political quotas. Initiatives that can bring people together and have a long-lasting effect. I am convinced that all of them are within the reach of our corporate reality but require focus and attention to achieve; and perhaps more importantly, a core belief that this is the right thing to do.
The key areas of improvement include sourcing candidates, hiring practices, retaining and promoting minority and female staff.
Static graphs are a big improvement over no graphs but we can all agree that static information is not particularly engaging. On the web there is no presenter to talk over a picture. It is the role of a visualisation to grab the reader’s attention and get its point across. Making a graph interactive is a good step towards increasing its understandability. This post in an addendum to the previous tutorial on how to make a line chart. It will explore two techniques of making the previous project interactive.
The time has come to step up our game and create a line chart from scratch. And not just any line chart: a multi-series graph that can accommodate any number of lines. Besides handling multiple lines, we will work with time and linear scales, axes, and labels – or rather, have them work for us. There is plenty to do, so I suggest you fire off your D3 server and let’s get cracking.
This is actually happening! I’ve put myself together (the key to more time is less Netflix, people) and wrote up a couple of examples in D3.js version 5 (yes, version 5!) that should get people started in the transition over to the tricky number 5. The guide assumes that you have some basics in D3 (you have an idea about SVG, DOM, HTML, and CSS), or better yet that you come from an earlier version. In this chapter we’ll create a simple bar chart. The objectives of the day are: data upload from a csv, data format setup, and drawing the data. As basic as this! Next time we will tackle scales and grids.
Make sure to check out my library for more fun examples!
Spoiling you as usual, I have another exciting D3 example for today: merging historical maps! I’ve been meaning to cover this topic ever since I developed a similar project for my Master’s thesis 3 years ago. Merging maps is challenge-worthy for every D3 enthusiast as it requires a number of things to be aligned: the data format should be compatible with D3.js, the maps should be drawn in the same projection, and cover the same time period as country or regional boundaries are far from static. I will demonstrate the idea by mashing up two maps: a digitalised map of II Polish Republic from 1934 with European boundaries from 1939.
I’m happy to announce that more SVG fun is coming! I’ve been blown away by the stats on my previous D3-related posts and it really motivated me to keep going with this series. I’ve fell in love with D3.js for the way it transforms storytelling. I want to get better with advanced D3 graphics so I figured I will start by getting the basics right. So today you will see me doodling around with some basic SVG elements. The goal is to create a canvas and add onto it a rectangle, a line, and a radial shape.
This post demystifies one of the most feared vector functions available in D3.js: the radial line, or d3.radialLine(). Radial lines are constructed with only two attributes: an angle and a radius. The product of the function is a line, but unlike the basic line function, there are no x and y co-ordinates. I fundamentally misunderstood the radial line logic the first time I used it – in fact I had to bring in my boyfriend one late Thursday evening to help me get it right. This guide should help you avoid my mistakes.
A couple of posts back I shared a sneak-peak of my webinar on data security for data monetization initiatives. That was one of many sessions we’ve ran for APAC as Protegrity entered that market in 2018. All sessions had been recorded and now I’m happy to say we’ve published excerpts of those videos on youtube. There are bits on Big Data protection, best security practices for analytical workflows, sessions on hybrid- and multi-cloud environments, as well as spotlights on specific technologies (AWS S3, OneDrive, Salesforce, Elastic Map Reduce, Tableau). The videos are 2- to 7-minute-long and go straight to the demo. I do sympathise with those of you that don’t have the time or patience to sit through a one hour webinar – I hope you like this compact format. Check out the playlist below and get to know the superpowers of Protegrity tech!