Spatial Variation of Geospatial Jobs in England

Tools Used: Python, Selenium, Geopandas, Matplotlib

Description
For the months, October and November, 2021, in order to see how geospatial jobs varied from one English region to another, job posts that contained the word geospatial(either in the job title or description) were scraped from LinkedIn, cleaned and stored in a csv file, in order to explore and visualize the data. After exploring the csv data(non-spatial data), it was merged with England shapefile(spatial data) on the column('FILE_NAME') which was common to both datasets. The combined data was then visualized with geopandas and matplotlib.

Processes followed
1. Geospatial Jobs data were scraped from LinkedIn with the help of selenium, cleaned and stored as a csv file.
2. The data was analyzed and visualized to see which companies had open geospatial jobs in these two months.
3. A choropleth map was made by merging the csv data was and England spatial data (shapefile) to visualize the number of Geospatial jobs in the different English areas.

Results
A choropleth map with different colours signifying the availability of geospatial roles in the different English regions

Link to the github repo