Why use Amazonas DataHub?
The datasets available in this package will be useful both in learning and in application of concepts related to Statistics.
- Plottable Data
- Classification Data (Logistic Regression)
- Linear Regression Data
- Time Series Data
- Exploratory Data Analysis Data
- You can use this package for educational and learning purposes.
Knowledge at your fingertips
Real Data
This package contains real data from Amazonas. You can learn and gain real insights.
Documented Data
Each dataset in this package is documented to explain what each variable is and what the dataset represents.
Linear Regression
With our datasets, you can apply and practice Linear Regression, in addition to the possibility of applying Deep Learning methods.
Logistic Regression
With this method, it is possible to classify a binary variable from some datasets from this package
Time Series Analysis
See the influence of seasonality in the data, and create models to make predictions for time series data.
Data Presentation
Train and test your programming, storytelling, statistics, and inference skills.
Be part of our history
If you have, or know someone who can provide a dataset with data from the Amazon, regardless of the research or study area, such as agronomic data, climate data, health data, etc., please get in touch with us.
Biological Data
We are looking for research or academic work data in Biology that can be made available for this project. Such data can include: sample tracking, species classification, families, kingdoms, etc.
Health and Pharmacy Data
We are seeking patient tracking data, including Physical Education, Physiotherapy, Medicine, as well as epidemiological data, medication tracking, medication evolution, drug testing data, and treatments.
Economic Data
We are looking for data of product prices, economic indicators, agricultural indicators, real estate, consumption, as well as income, credit, and churn data.
Meteorological Data
We accept meteorological data, especially regarding rainfall regimes, average temperature, precipitation, wind, relative humidity, etc.
Social Sciences Data
We are looking for demographic data, data on access to education, social indicators, opinion surveys, consumption habits, data on academic performance and school dropout rates, etc.
Get in touch
Have any questions or want to contribute a dataset? Please, get in touch.