![]() ![]() If you’re into web application and dashboard development, it might be a viable option.įor data professionals, it almost always boils down to R or Python. Nobody uses JavaScript as a go-to language for data science and machine learning. But here’s the thing - JavaScript is not a programming language for data professionals. You can definitely use it to make stunning tables and it probably has the largest number of data visualization libraries. R Shiny: Which Excel Alternative Is Right For You? ![]() R Shiny: Two Popular Excel Alternatives Compared Make sure to read our detailed comparisons to R Shiny: Also, the table won’t be interactive and don’t even get me started on reproducibility.īut what about a dedicated BI tool, such as Tableau or PowerBI? Honestly, we’ve used them at Appsilon, and they generally have a lot of going for them. Why bother with programming languages if you can style tables however you want with Excel? Well, you’re leaving a lot of customization on the table by sticking with Excel. Why Use R Over Excel, Python, or JavaScript? How do you do that? There’s a lot of R packages for visualizing table data, but first, let’s discuss why you should use R in the first place. Now that’s something you could present in a table format. Image 2 – Life expectancy in Poland over time Let’s import them both and check how the dataset looks like: You should have the dplyr and gapminder packages installed. Let’s take a look at one such dataset to drive the point home. You could aggregate the data, so you’re left with a small, presentable subset. For example, imagine you had population data for the entire world, and you’re only interested in a single country. The reason? It can be huge in dimension, and you’re only interested in a small subset. Tabular data usually isn’t the best candidate for presenting visually with a table. Tabular data is made of rows and columns, and a place where they intersect gives you specific information about a single record - for example, the number of people living in Poland in 2021. Think of table data as something aggregated from tabular data.
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