Clean and transform data and write file to .csv, .xlsx or GeoJSON to be used as a data source for Tableau dashboards and visualizations.
- Get country names from ISO-3 codes for datasets from OECD Data using country converter.
- Notebook: Convert ISO3 to country names
- explore data frame containing information on unemployment rates in the EU from 2002 to 2022
- get couintry names, rename columns, convert to datetime
- libraries used: pandas, numpy, country_converter
- Viz: Unemployment rates in the EU
- explore dataset about quarterly inflation rates in OECD countries between 20128-2023
- get country names, select subset of columns, convert to datetime, replace values where country is OECD
- libraries used: pandas, numpy, country_converter
- Viz: Inflation in OECD countries
- Notebook: Country, continent and ISO convert
- Get ISO-3 codes and continent from country names using country_converter
- Libraries used: pandas, numpy, country_converter
- Viz: The Henley Passport Index
- Notebook: Water fountains
- explore two datasets containing information on water fountains in Zürich
- select and extract columns of interest and create new data frame
- libraries used: pandas, geopandas, matplotlib
- Viz: Public water fountains in Zürich
Anna Mándoki, 4 Aug 2023