Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data ...

Dhruv Madeka, a quantitative researcher at Bloomberg, describes the open source library D3 (or D3.js), which is used to make interactive data visualizations, as “awesome.” But for many would-be fans, ...

Actionable insights define a successful enterprise, where those who can tap into the power of their data can drive new business opportunities. Mingo Sanchez, senior sales engineer, Plotly, joined DBTA ...

According to renowned AT&T Bell Telephone Laboratories statistician John Tukey, “data may not contain the answer. The coordination of some data and an aching desire for an answer will not ensure that ...

DeepSeek R1, the latest large language model to be creating a stir with its outstanding open source performance, is reshaping how you can approach complex tasks such as mapping and data visualization.

Getting readers of a news story interested in numbers can be a challenge. But the benefits of engaging readers in data can lead to a better understanding, preventing misinformation and ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...