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
Emerging Technologies and Open Data: Predictive Analytics
In order to extract the full value of data, it is necessary to classify, filter and cross-reference it through analytics processes that help us draw conclusions, turning data into information and knowledge. Traditionally, data analytics is divided into 3 categories:
Descriptive analytics, which…
- Reports and studies
How to generate value from data: formats, techniques and tools to analyse open data
In the digital world, data becomes a fundamental asset for companies. Thanks to them, they can better understand their environment, business and competition, and make convenient decisions at the right time.
In this context, it is not surprising that an increasing number of companies are looking for…
- Reports and studies
