4 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
Data processing and visualization tools
Visualization is critical for data analysis. It provides a first line of attack, revealing intricate structures in data that cannot be absorbed otherwise. We discover unimaginable effects and question those that have been imagined."
William S. Cleveland (de Visualizing Data, Hobart Press)
Over the…
- Reports and studies
Data visualization: definition, technologies and tools
There is increasingly more information, to such extent that the current society lives surrounded by data. Nevertheless, one of the most common criticisms of this mass of information is its lack of usability. It is not only a matter of publishing data on the web, but we should focus on their …
- Reports and studies
