yem_admbnda_adm1_govyem_cso_20191002.cpg
yem_admbnda_adm1_govyem_cso_20191002.dbf
yem_admbnda_adm1_govyem_cso_20191002.prj
yem_admbnda_adm1_govyem_cso_20191002.sbn
yem_admbnda_adm1_govyem_cso_20191002.sbx
yem_admbnda_adm1_govyem_cso_20191002.shp
yem_admbnda_adm1_govyem_cso_20191002.shx
Lesson 1 - Introduction to Jupyter Notebook and programming in Python.ipynb
Lesson 2 - Programmatic data wrangling with Python and Pandas.ipynb
Lesson 3 - Restructuring and validating data against a schema using Python and whyqd.ipynb
Lesson 4 - Anonymising personal synthetic data prior to publication.ipynb
Lesson 5 - Investigate and transform messy data into appropriate charts for presentation.ipynb
Leçon 1 - Introduction à Jupyter Notebook et à la programmation en Python.ipynb
Leçon 2 - La préparation de données par programmation avec Python et Pandas.ipynb
Leçon 3 - Restructuration et validation des données par rapport à un schéma en utilisant Python et whyqd.ipynb
Leçon 4 - Anonymisation des données personnelles synthétiques avant la publication.ipynb
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