Data Science Job Vacancy dataset sketches

Visualization_star
4 min readMar 28, 2021

Till now, our group has already finished the first design session for our project. This blog will briefly introduce the ‘diverge’ and ‘emerge’ procedure of our design session.

Miro link: https://miro.com/app/board/o9J_lOYjlXQ=/

First, let’s have a glance at our miro board to have an overview of the work we currently have done:

Diverge part:

In ‘diverge’ part, we sketch some visualizations on the data scientist job dataset, the following are some typical examples:

1st sketch &  2nd sketch
1st sketch & 2nd sketch

The first sketch shows the percentage distribution of the number of job vacancies in each city for every state. In the second sketch, we draw the fishbone diagram showing the job types included in all four data scientist categories.

3rd sketch & 4th sketch

In the third sketch, we present the percentage distribution of job vacancies in each sector for every state. In the fourth sketch, we explore the estimate average salary in each state on a U.S map. The shade of the color in the map represents the average salary as a deeper the color indicates a higher average salary in the state.

5th sketch & 6th sketch

In the fifth sketch, we display the number of job vacancies separately for each industry and sector. The sixth sketch shows the number of job vacancies and the average salary for each company rank category.

Emerge part:

After finishing the initial sketching of visualizations on the dataset, we try to combine some of these sketches to see whether we can emerge them.

The following are some interesting combinations we conduct in the ‘emerge’ part: (note: in the emerge part, there might be some sketches that don’t show in the ‘Diverge part ‘ in this blog, for more detail, please refer to the miro board)

This combination is about the percentage distribution of job vacancies in each city for every state and the actual number of job vacancies in every state. We will try to combine them into one visualization to show the percentage distribution and exact number simultaneously, making the job market difference among areas more straightforward.

The above is a combination of the percentage distribution of job vacancies in every industry and each industry’s max salary. We think we may converge these two sketches as we can plot each industry with different colors. The area of each industry represents the percentage distribution, and colors represent different maximum salaries.

We take this combination because we want to dig into the relationship among industry, sector, job vacancy, and salary. By converging these sketches, we can use different shapes to represent the companies’ average rank with the same industry and sector characteristics; the size of shapes to represent the number of job vacancies, and different colors for different salary levels.

Both of these two sketches are not showed in the above ‘diverge part’. The left sketch is about job vacancies in each job title, the large the size, the more job vacancy in this job title. The right one is about keywords mentioned in the job description. We want to combine these two sketches to see which job title occupies most of the job market and which keywords show up frequently in the job description for every job title.

In the following blogs, we will keep updating our visualization project.

--

--

Visualization_star

A visualization story about 4 master students from Statistics and Data science area in KU Leuven