Merge pull request #35 from RolfHendriks/main

Gender Gap by Country and Scenario 2030

Author: DataDrivenAngel

Team_Projects/GenerationNext/cleaning.py

@@ -0,0 +1,7 @@
+def add_country_codes(data: pd.DataFrame) -> pd.DataFrame:
+    country_codes = pd.read_csv('data/iso_country_codes.csv')[['Alpha-3 code', 'English short name lower case']].rename(columns = {
+        'Alpha-3 code': 'iso3',
+        'English short name lower case': 'country'
+    })
+    data = data.merge(country_codes)
+    return data

Team_Projects/GenerationNext/project.md

@@ -23,4 +23,8 @@ Use the **visualization** to shared graphs and visualizations as candidates for
 
 ## Challenge Category Area
 
-Jobs and Youth: Exploring the future of education & jobs
+Jobs and Youth: Exploring the future of education & jobs
+
+## Presentation
+
+https://docs.google.com/presentation/d/1bVU_nHqXdNctsIdWkq2USkipOO9iweeFuGN3_w4i1SM/edit?slide=id.p#slide=id.p