Free data exploration for researchers and students

Free data exploration for researchers and students

Data exploration, also known as data analytics, is the process of viewing, organizing, describing, and visualizing data to understand it better and gain new insights and insights. The purpose of data exploration is usually to discover new dependencies and patterns in the data and to prepare them for further analysis and modeling. Data exploration requires the use of statistical methods and IT tools, such as data analysis programs or programming languages such as Python or R.

Free data exploration tools
There are many free data exploration tools that you can use to analyze your data. Here are some examples:

  • Google Sheets: is a free spreadsheet program that allows for simple data exploration. You can import data from CSV files or other spreadsheets, and then perform simple calculations and visualizations.
  • Microsoft Excel: This is a paid spreadsheet tool, but you can use the free trial version for 30 days. Excel offers a wide variety of data analysis features such as sorting, filtering, charting, and more.
  • OpenOffice Calc: is a free Excel replacement that offers similar features for data analysis.
  • Google Fusion Tables: is a free data processing and visualization tool that allows you to create maps, charts and tables.
  • Google Charts: is a free data visualization library that allows you to create all sorts of charts and diagrams.
  • Datawrapper: is a free data visualization platform that allows you to easily and quickly create charts and maps.
  • R or Python: These are free programming languages that are popular with data scientists and offer extensive data explorationcapabilities. To operate them, you only need a computer with the appropriate software installed.
  • D3.js: is a free JavaScript library for creating interactive data visualizations in the browser.
  • KNIME: is a free data processing tool that allows you to create data exploration workflows.
  • Qlik Sense: is a paid data visualization tool, but a trial version is available

Free data exploration for scientists at

At, we offer a free data exploration service. For a good start of cooperation 🙂

This data exploration service includes:

  • frequency analysis (with and without missing values)
  • missing value analysis
  • pruning outliers
  • data imputation with meand, median and machine learning techniques
  • correlation analysis
  • visualizations of linear, square and cubic relationships
  • data normalization
  • and many others 🙂

Our free data exploration service is swift, extensive, comprehensive and cool 🙂 Just try us 🙂