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
How to facilitate data collaboration to solve societal problems
Data are fundamental to solving the social and economic challenges we face today. It allows us to understand the causes behind a given situation and the factors that influence it, to estimate how it is evolving and to make informed decisions for change.
The problem is that solving such challenges…
- Reports and studies
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