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
How to develop a plan of measures to promote openness and reuse of open data
Public sector bodies must make their data available for re-use, making it accessible in the form of open data, as referred to in Spain's legislative framework. The first step for this is that each entity, at local, regional and state level, as well as bodies, entities and trading companies…
- Guides
Practical guide for improving the quality of open data
When publishing open data, it is essential to ensure its quality. If data is well documented and of the required quality, it will be easier to reuse, as there will be less additional work for cleaning and processing. In addition, poor data quality can be costly for publishers, who may spend more…
- 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 to publish data in datos.gob.es catalogue?
In Spain there are a large number of local, regional and state data initiatives. In order to harmonise this ecosystem, datos.gob.es is a single access point, so that re-users can easily find the information they require in a single space. In addition, datos.gob.es links to the European Data Portal…
- Guides
