mapping

LinkedIn

Graphing the number of open jobs (manually collected)

Terminal setup

1. sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"
2. view themes on: https://github.com/ohmyzsh/ohmyzsh/wiki/Themes; I usually pick geoffgarside

Data set up of long-col.csv

1. Columns: Job type, Date, Openings
2. Rows: UXR; USA; Remote UXR; USA; Entry level UXR; USA; Associate UXR; USA; Mid-senior level UXR; USA; Director UXR; USA; Executive Seattle, WA, USA UXR; Seattle, WA, USA UXR; Seattle, WA, USA; Entry level UXR; USA

Terminal set up for manual-linkedin.py

1. Add long-col.csv within quant/linkedin/data/
2. Set up Python3 and pip
3. pip3 install pandas (or pip)
4. pip3 install plotly
5. You should be good to go with python3 manual-linkedin.py

Terminal set up for scrape-linkedin.py

1. pip3 install bs4
2. You should be good to go for scrape-linkedin.py

Terminal set up for analyze-linkedin.py

1. pip3 install nltk
2. pip install geopy
3. Make sure you run df = cleanMapData(df, commaFile) (in main()) to create lat-long-uxr-jobs.csv
4. pip3 install --user -U nltk
5. pip3 install --user -U numpy
6. pip3 install matplotlib
7. Run python3, then import nltk, nltk.download('punkt'), nltk.download('stopwords'), nltk.download('wordnet'), and then you should be good!!