5 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
Analysis of toxicological findings in road traffic accidents
1. Introduction
Visualizations are graphical representations of data that allows comunication in a simple and effective way the information linked to it. The visualization possibilities are very wide, from basic representations, such as a graph of lines, bars or sectors, to visualizations…
- Data exercises
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
Open data and health: technological context, stakeholders and legal framework
Spain is the second country with the highest life expectancy in the world, only behind Japan. Spaniards live 83 years on average. This positive data is stained by a negative one: the low birth rate, which is leading us towards a population aging. This situation means that we need a more efficient…
- Reports and studies
