Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

Excel users can now use Python’s advanced capabilities for data manipulation, statistical analysis, and data visualization without leaving their familiar spreadsheet environment. This opens up new ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...

This integration opens the door to more sophisticated data manipulation and exploration ... Data visualization is essential for communicating insights effectively, and Python’s Seaborn library ...

Microsoft's Stefan Kinnestrand, writing about “the best of both worlds for data analysis and visualization,” writes that this public preview of Python in Excel will allow spreadsheet tinkerers ...

Computer scientists have shown a new way to help prevent users of data exploration software from making false discoveries. Modern data visualization software makes it easy for users to explore ...

Calculated Fields in Google Data Studio show the importance of features that simplify data exploration and visualization. Calculated fields may appear to be a simple feature to add to any user ...

announces a first-class integration with Grafana Labs for time-series data exploration and visualization. The new PostgreSQL query editor and datasource are contributions made by TimescaleDB ...