The Top Five Data Visualization Tools for 2021

Data visualization is the process of converting your data into pictures, such as maps or graphs, in order to draw insights from the data.

This makes it easy to identify patterns or trends within the data. For example, data scientists can analyze and visualize data regarding past events, and use this information to prevent disasters by estimating potential risks and dangers in the future.

The era of big data is here. We produce petabytes of data daily, and yet we have fewer skilled data scientists who can analyze and make sense of it. Every day, the data warriors fight the unclean data, engineer features to build models and draw insight from the data.

A key component when drawing insights from the data is to visualize it. Humans by nature are pictorial beings. We think in pictures and stories. For this reason, it is easier to study data in some form of photographical representation too. Visualization plays a key role when analyzing such complex data structures and algorithms.

For example, try making sense of this JSON data:

Figure 1, Source: CoinPaprika API – JSON format, URL: https://api.coinpaprika.com/v1/global

Now, try this data after tabular visualization

Figure 2, Source: CoinPaprika API after executing on Apache Drill – Tabular format

Both represent the same data, one as a JSON script and the other in a tabular format. For obvious reasons, the table is easier to understand. However, DataDistillr has an even better way for you to visualize and to understand data. Check it out:

Visualizations are crucial to your role as a data scientist. If you can’t explain your analysis in a simple manner, then you aren’t doing it right. Below, I have listed the top five data visualization tools for scientists. These are great tools you can use to clearly illustrate your data.

#1 – Tableau

Tableau is one of the most commonly used visualization tools in the data science world. The best part about Tableau is that it caters to visualizations of all kinds. Tableau Public offers its freemium version to the general public, while Tableau Desktop ($70 per user per month) caters to businesses who have specific visualization requirements. An example of a beautiful Tableau visualization is below.

Figure 4, Source: Nir Smilga (2020). 'Who Wrote the Beatles' Top Hits?'. Tableau Public. Visualization. URL: https://public.tableau.com/en-us/gallery/who-wrote-beatles-top-hits?tab=viz-of-the-day&type=viz-of-the-day 

#2 – Visme

Visme can be used for data visualization, and provides features to create presentations, project proposals, reports or an infographics that include the visualizations created within its platform. Visme also makes it easy to import visualizations created on other platforms, like Tableau, or import live data from Google Sheets. Visme also provides ready-made templates for anyone without an artistic streak.

#3 – DataDistillr

DataDistillr is my go-to tool for data analysis and visualization. DataDistillr allows for an individual to support diverse kinds of data without a data engineering team or ETL (Extraction, Transformation, & Loading). Querying different formats of data like json, xml, xlsx, csv or live data using an API is performed in a simple yet brilliant manner. Apart from analyzing data, the platform simultaneously visualizes the data so that you can easily make sense of and draw conclusions from the data.

DataDistillr allows you to visualize your data in different pictorial representations ranging from bar graphs, line graphs, pie charts, box plots or scatter plots. With a simple click of the mouse, you can quickly decide the visualization that you would like to present on the x-axis and y-axis. If your company prefers a specific color scheme, DataDistillr has got it covered. Moreover, you can easily set limits on the number of data points, you can present the data in ascending or descending order, and you can add multiple series of lines on the same graph by simply stacking the series.

DataDisllr also enables you to add your colleagues to your project via their e-mail addresses.
DataDistillr is your one-stop-data-shop to queuring all kinds of data, deploying it as an API, and visualizing the data.

Check out this beautiful, teal-colored visualization that showcases dual series stacked on each other, depicting the distance travelled by your car, as well as the year represented by the indigo color.

You can now register to be a beta tester for DataDistillr at www.datadistillr.com. DataDistillr also offers special enterprise edition for its business clients.

#4 – Infogram

Infogram is another preferred visualization tool due to the low learning curve and the myriad of templates. Although Infogram is a part of Prezi, you do not need a Prezi account to access Infogram. Infogram recently added social media graphics and visuals, which can easily be added to your visualizations. You can also create word clouds using real-time data. Although Infogram offers a free version, its paid version starts at $19 per user and goes up to $149.

#5 – Whatagraph

Whatagraph specializes in visualizing data from social media and email marketing campaigns. It is also possible to create designer-branded analytics dashboards by integrating the tool with different services or platforms. This tool is a great addition for digital content marketers, social media managers, or other related channels. Whatagraph can be costly, as their plans range from $119 to $699 per user per month.

Data visualization tools make learning new trends easy, as it becomes possible to quickly draw conclusions based on past patterns. The tools mentioned above allow you to easily explore and visualize your data.

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