I’ve always loved the idea of designing graphical analysis tools for web developers, but my interest was piqued by Google News 24’s news coverage.
As a software engineer, I had to design and build a simple data visualization system to support my research.
Google News is the first news site to use data visualizations for the entire world, so it’s a great place to start.
I found that I liked the way they handled data visualization as much as the data themselves.
I liked how the visualizations looked and felt like they were based on real data.
It was easy to create, and it gave me a lot of confidence in how my software could be used.
As I continued to work with the team, I noticed some things that they were doing well: I could see all the data that was being analyzed, but I was not seeing all the underlying analysis.
For instance, when analyzing the stock market data, I could not see how the market was reacting to the changes in the stock prices.
There was no way to visualize that data without going through all the variables involved.
I also didn’t understand the concept of correlation.
A good example of this is the correlation coefficient.
When I used Excel to make charts, it made me think, “Wow, the stock price is actually correlated to the stock.”
But when I created an analysis that looked at the relationship between two variables, I couldn’t see it.
I wanted to make my data visualization more intuitive and easy to understand.
The visualizations I worked on had a lot in common with the ones I saw in real life: they were designed with a user in mind, and they were presented in a way that was visually appealing.
I started by making my own visualizations, using some of the ideas I’d found in the news visualization community.
I wrote a quick template that I’d already written in Excel and ran it through a series of tests.
It looked like this: