But if you have hierarchical data and want to have data visualization based on ranking in ascending or descending way then Sankey is a good choice to use. If you have to use simple ordinal data then you must go for simple bar or sequence chart. How to visualize ranking data does not have to be time-consuming. Similarly it goes with other like 495 people ranked ice-cream at number 1 while 60 people ranked it at number 6. 200 people ranked salad at number 1 while 35 people ranked salad at number 6. You can easily find the breakdown of ranking in this visualization. Note: the difference after visualizing the table above. So by using ChartExpo library the above ranking data is beautifully converted to awesome visualization. Ranking 1 means not satisfied and Ranking 5 means satisfied Questions This section will use the Likert Scale to display insights into the table below. You can use various topics (general and specific questions) to probe respondents about their level of agreement, perceptions, or beliefs towards your brand. More so, they can be measured on a scale ranging from a complete agreement to a total disagreement. The chart is based on the rationale that the strength and intensity of the respondents’ answers are linear. In other words, responses are measured based on their disagreement or agreement level. The Likert Scale measures the qualitative data (opinions and sentiments) by categorically assigning value. The Likert Scale analyses comes in different variants to help your business personalize its communication, among other benefits. The visualization design can help you understand the views and perspectives of the market towards your brand. Example #4: Likert Scale ChartĪ Likert Scale you can use to collect attitudes and opinions of your target market. Moreover the line separating and shaded blue area is showing those which needs attention. You can easily find out that top ranked city s Los Angeles, after that Chicago and on last is Boston. Pareto Chart by ChartExpo will automatically sort the data while drawing the visualization. You need to find out which city is on top and which is on second and so on. Take a look the following data in which orders from different cities are recorded. So why to draw ranking data with simple bar chart when you can have Pareto Chart to show you more analysis on the same bar chart visualization. Pareto Chart is a bar chart but its main purpose is to bring the attention to the improvement in your process by looking at the visualization at first look. Have you installed ChartExpo? If not you can click below any of the add-on of your choice. Rome took over the spot ten years later, followed by the Honolulu. However, Honolulu was outperformed by Paris in 2009. In 1999, the best rated city was Honolulu, followed by Rome. Note the difference after visualizing the data. YearsĬan you provide a coherent story about the data above? Take a look at the table below, you are having data of cities ranked by tourist in different years of time. Slope Graphs can be useful when you have two time periods or points of comparison and want to show relative increases and decreases quickly across various categories between two data points. You can use this chart to show the before and after story of variables in your data. Slope Charts are simple graphs that quickly and directly show transitions, changes over time, absolute values, and even rankings. Besides, they’re also called Slope Graphs. Keep reading to have a look on more examples to convert your rank data into beautiful visualizations with very easy steps by using ChartExpo library. You can download and install a particular add-on to access all the ranking data charts, and more amazing visualization. Your might be thinking where can you find these charts? If you’re an ardent user of the spreadsheet application like Excel or Google Sheets, you’ve got to explore advance visualization add-on. You will learn how to visualize or present ranking data with the help of following best visualizations: Because there are many ways to visualize present ranked data. If you are bored with simple Horizontal or Vertical Bar Chart then you are on the right place.
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