Learn how to create better charts and find hidden insights in time series using appropriate aspect ratios for your line plots.

One of the most overlooked aspects of creating charts is the use of incorrect aspect ratios. Even in photography, changing the aspect ratio makes the photograph look skewed. Here, it is easy to rectify the aspect ratio. But is it that easy when creating charts?

Let’s compare three plots and…

Leveraging the extensions of the ggplot2 package on stepping up the visualizations.

On a single glance, when you look at a visualization, few things pop out, which may vary from person to person. Those eye-catching features can be the charts or images, colors used, text style, or even the background. If you are into data visualization and familiar with principles for creating…

Tips on how and when to choose bar charts over line plots when visualizing time-series data

Data visualization is a powerful tool for communicating information to a broader audience. This means apart from using the right color scheme, font size, and font type; using a proper chart type to depict the data is also important.

The focus of this article, as clear from the title, is…

Opening up a plethora of R functionalities to Excel users with BERT add-in.

Excel has been the go-to data analytics tool for businesses for the last three decades. Excel provides built-in tools to conduct statistical analysis, creating budgets, forecasting, dashboards, data plotting, etc. And then there are add-ins to fill in the analytical gap or improve performance.

For me, Excel had been a…

Tee, exposition, and assignment pipe operators for clean code writing

Apart from hosting the main pipe operator %>% used by the Tidyverse community, the magrittr package in Tidyverse holds a few other pipe operators. The %>% pipe is widely used for data manipulations and is automatically loaded with Tidyverse.

The pipe operator is used to execute multiple operations that are…

Abhinav Malasi

Passionate about Dataviz | Mathviz | Machine Learning using R. In quest to help SME’s to leverage the power of data.

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