3 documents found
A practical introductory guide to exploratory data analysis in Python
The following presents a new guide to Exploratory Data Analysis (EDA) implemented in Python, which evolves and complements the version published in R in 2021. This update responds to the needs of an increasingly diverse community in the field of data science.
Exploratory Data Analysis (EDA)…
- Guides
Infographics: Aporta Challenges
The Aporta Challenges are awards for new ideas and prototypes that, making use of open data, lead to efficiency improvements in a specific sector of activity. In this section you will find infographics with information about the different editions carried out.
I Aporta challenge: The value of the…
- Infographics
A practical introductory guide to exploratory data analysis
Before performing data analysis, for statistical or predictive purposes, for example through machine learning techniques, it is necessary to understand the raw material with which we are going to work. It is necessary to understand and evaluate the quality of the data in order to, among other…
- Guides