Data Journalism

As a computational/data journalist, I have experimented with three different data visualization softwares: Infogram, Datawrapper, and Tableau. I am also now fluent in the language of excel sheets. I use the visualizations to present my findings in an aesthetically pleasing way, and develop my data analysis in the article itself to help the reader make sense of the most important pieces of data along with its implications. Through data, I maintain journalistic integrity and construct richer stories by allowing readers to get the full picture as well as dive deeper into the data and make their own inferences and discoveries.

The Process

  1. Gather data
  2. Select pieces of data that are most relevant to the article
  3. Craft data visualizations using the appropriate software and visualization type
  4. Analyze the data trends

Tableau

Tableau is my favorite data visualization software because of its ability to create really powerful visualizations and conduct data analysis. The following are a few of my favorite data journalism articles.

Click here to view all of the dashboards I created using Tableau.

Datawrapper

I first learned of Datawrapper after speaking with a data journalist at The New York Times. I found Datawrapper’s User-Interface to be very sleek and easy to use. However, I dislike how it is not possible to have several visualizations in one dashboard, as is possible with Tableau.

Infogram

Though Infogram is easy to use, I am somewhat disappointed in how it compares to Tableau and Datawrapper in terms of both the ability to display complex graphics, and its User-Interface while creating the visualizations.