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.

Eventually he located the data feed for a tanker ship and wired his dial to display the ship’s speed. He uses a Python script to interface with the Pachube API, which is fed to his Netduino board.

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 ...

Users are able to type in simple commands such as “create a visualization for customer churn,” and the product will automatically produce a visualization based on the data. Jignesh Patel is a DataChat ...

Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

Excel gets containerized, cloud-based Python analytics and visualization powers Visualization and analytics tools available in preview, but may be paywalled.

Data visualization can serve two distinct purposes: to communicate research findings and to guide the data-exploration process as the scientific story is unfolding. Each goal entails a different ...

Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...

This is a collection of my personal notes for Data Visualization in Python. Originally I had kept these in a collection of Jupyter notebooks, but it will be much more useful to just put them online so ...

Founded in 2016, Virtualitics offers a data exploration platform that uses artificial intelligence and big data to help enterprises and governments make decisions with ready-to-use AI.