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
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
How open data can boost the agricultural and forestry sector
In the current context of digital transformation, all sectors are adapting to respond to the efficiency and agility improvement needs that society demands today. One of the areas where this change is most necessary is the agricultural and forestry sector.
The growth of the world population, climate…
- Reports and studies