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
New trends and challenges in the data world
The amount of data we generate does not stop growing. 90% of the data created in the history of humanity were produced during the last year and a 40% annual growth is estimated for the next decade. These figures highlight the importance of data in today's economy and society. The data provide us…
- Reports and studies