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Analytics in R Shiny app with WebDataRocks

What is R Shiny? R Shiny is a package for building interactive web apps with R.  The distinguishing feature of R Shiny is that you can build analytical apps with minimum lines of code and simple syntax, and put them on the web in a short time. Pivot for R Shiny Great news for the […]

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Making data visualization more powerful with WebDataRocks & amCharts

If you’ve been following our release updates, then you definitely know we released integration with amCharts. We feel this new shiny feature needs to be covered in more detail. If you feel this way, too, make yourself comfortable and let’s figure out what this integration can bring to your reporting and data visualization processes.

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WebDataRocks recommends: Best Free Online Courses for Web Development

Living in the age of information overload, it’s hard not to become overwhelmed by myriads of front-end and back-end development courses found on the web. So as not to let you stumble upon, we’ve carefully selected the best courses that offer only relevant and actual knowledge on the topic. Each of them is the result […]

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Reporting tips & tricks: slice explained

If you’re new to the pivot table as an instrument for reporting, this article is a great place to start getting to know its core capabilities and the structure of a report. After reading, you can get straight to designing new reports with more confidence and professionalism. 

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How to deliver my software: CDN, NPM, GitHub

Software production involves many stages, such as software design, software development, and many more. Software distribution is also an essential part of that process. It is like a logical continuation of development that determines where and how your end-user will get the product. There are lots of platforms and stores offering themselves as a placement […]

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The 3M’s explained: mean, median, and mode. How to calculate them in Pivot Table

In this series of articles, we’ll deepen our knowledge of the principal statistical concepts. This time we’re going to bring our attention to the measures of central tendency. Plus, we’ll learn how to calculate them in WebDataRocks.

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WebDataRocks 1.3.1: Pivot with Django, Jupyter Notebook & amCharts

The last update of WebDataRocks pivot table brought a lot of new tweaks that improved reporting a lot. It didn’t take long for us to prepare a new stack of features for flawless data visualization and analysis. All along we’ve been working on extending our product’s integration opportunities, thus you will find new advancements to […]

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Best online JavaScript data visualization courses

The value of data visualization can’t be overestimated. With it, you can make data expressive and insightful, which was raw and dry in the first place. Provided that it approached right, visualization makes complicated things appear more understandable and graspable to the audience. By depicting data in graphs, maps, or pivot tables, you can deliver […]

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The ways to create informative reports with Canva & WebDataRocks

We all had to write reports at some point in our lives. In school, we were asked to write essays about the human anatomy, parts of a flower, our thoughts about a particular movie, and the like. As we progressed to working for companies, we were tasked to write reports about sales, the company’s accomplishments, […]

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Top popular Pivot Table API events

Hey there! Missed practical tutorials? Let’s get to know the API events of WebDataRocks better. This time we’ll cover the purposes and use cases of the most popular ones.

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