Martina Dossi's profile

DVS 2021 CHALLENGE

DATA VISUALIZATION SOCIETY - 2021 CHALLENGE
State Of The Industry (SOTI) Survey

A matter of time: linking job titles to data visualization tasks

DESCRIPTION
On an annual basis, the Data Visualization Society conducts a survey with more than 50 questions to understand the current landscape of data visualization, moving from demographic to professional details such as roles and tasks, experience, tools and charts, compensation and many more. 
This visual analysis explores one of those aspects, focusing on how different professionals devote their time to the various steps of a data visualization project: data preparation and cleaning, data analysis, ideating or storyboarding, producing visualizations, and other visualization task(s) not described above – which people can further detail. 
The visualization has been submitted as explanatory visualization given the presence of many plots showing overall trends and relationship that should guide the reader through the complete story.
For more information about the challenge: SOTI CHALLENGE.
UPDATE
Oct 3, 2022 - Longlisted in the IIB Awards
March 10, 2022  -  Won the first price in the explanatory category (post
July 12, 2022  -  Wrote an article on Nightingale about the behind the scenes (article)
The first part is a punctual analysis of all job titles, to understand how each of them allocate time to different data viz tasks.​​​​​​​
The subsequent analysis puts together all the information above to compare job titles in terms of the average time dedicated to data viz tasks. It allows to rank job titles within specific task (in terms of devoted time) and understand which tasks overall require more time.
Finally, the other data visualization tasks which have been explicitly detailed by respondents have been analysed by means of text analysis techniques to find out the most cited ones. Along with this analysis, an additional plot has been produced to show which professionals specify other activities the most.

ABOUT THE PROCESS
I've used Python to analyse the data (a jupyter notebook), and the analysis is available at my personal GitHub repository. Most of the plots have been created with the support of Rawgraphs and then finalised in Adobe Illustrator.

THANKS FOR WATCHING!
DVS 2021 CHALLENGE
Published:

Owner

DVS 2021 CHALLENGE

Published: