Testhouse Dashboard

High level overview of the distribution between manual, automation, and other efforts per language team.

Introduction

Due to confidentiality concerns, only censored screenshots of the project will be shown.

It was a fun project that began when my team lead mentioned in passing how much of a pain it was to go through our raw working hours data. In this project I applied data classification techniques to clean up and categorize the raw data and then visualized it to make it easy for stakeholders to digest the data.

I used the dash framework by Plotly to enable interactivity with the visualizations so that users can access the dashboard via a web browser and apply filters as they like. An added bonus is that the visuals can also be exported as a png image so that they can use it in their own reports with upper management.

Packages Used:

• Numpy
• Pandas
• Plotly Dash

In the works

• Comparison tools to compare an individual’s time with the average
• More metrics

Insight on each team member’s contribution to the team as well as a details section of individual tasks

Insight on individual member’s time allocation