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Statistical tools for data analysis and visualization

There are numerous open source tools available in the market for network analysis such as NetworkX, iGraph packages in R and Gephi, among others. Of all

Statistical tools for data analysis and visualization

Firstly a disclaimer: I am the founder of Dataseed — an interactive data visualisation platform. I’ve spent a lot of time reviewing the various data visualisation tools on the market and so these are…

This article describes how to use Plotly library in R & Python to create beautiful, interactive data visualizations. This includes 3D charts & scatter plots

Visualizing Economics is an web site run by Catherine Mulbrandon where I share my data visualizations about the economy.

Python has fantastic support for functional analytics tools including NumPy, SciPy, pandas, Dask, Scikit-Learn, OpenCV, and many more. Of the various data visualization libraries for Python, Bokeh…

Here's an infographic which displays most commonly used tools for data visualization by data scientists and data analysts for all sort of uses

Infogram is an easy-to-use, AI-powered tool for creating stunning infographics, charts, dashboards, maps, and more. Effortlessly design and share interactive data visualizations across various platforms.

Monty Hayton | Working from Sydney, providing User Experience, User interface, & data visualisation services. Helping translate ideas into engaging and memorable experiences. | Connect with them on Dribbble; the global community for designers and creative professionals.

Pomodoro Technique Timer App | GoffCreative.com

If you're thinking about teaching a course on statistics and data science using R, Chester Ismay and Albert Kim have created an online, open-source textbook for just that purpose. ModernDive is a textbook for that instructs students how to: use R to explore and visualize data; use randomization and simulation to build inferential ideas; effectively create stories using these ideas to convey information to a lay audience. The book makes liberal use of R packages, and makes effective use real-world data sets to communicate key concepts. Though still a work-in-progress, the book already effectively covers the basics of data analysis...

Tim Brown, in his book Change by Design (100% recommended), urges a global change by what he calls Design Thinking. Tim proposes to the world a new way to face the upcoming challenges, the small but also the big ones. A new way of redesigning the world. He offers a tool usable for every person…

Get step-by-step instructions on creating infographics in PowerPoint, plus tips and best practices for making your infographics pop.

An introduction to data processing and cleaning in JavaScript. Learn to load, modify, and transform data quickly using powerful JavaScript libraries.

Don’t let the rhetoric fool you, a Microsoft researcher says: Big Data is a human tool, which means it is subject to all kinds of miscollection, misapplication and abuse. By Quentin Hardy [The] "promise of certainty has been a hallmark of the technology industry for decades. With Big Data, however, there are even more hazards, some human and some inherent in the technology." "Kate Crawford, a researcher at Microsoft Research, calls the problem “Big Data fundamentalism — the idea with larger data sets, we get closer to objective truth.” Speaking at a conference in Berkeley, Calif., on Thursday, she identified what she calls “six myths of Big Data.” | Into the Driver's Seat

Graphic Design, Web Design, UI/UX, Adobe After Effects, Adobe Photoshop, Sketch