Data Visualization Tools Essay: Frequency Distributions, Histograms, and Relative Percentage Graphics

When the desire to better understand data arises, one may use frequency distributions, histograms, and relative percentage graphics in many professional and personal situations. For instance, a company that wants to learn more about its clients’ purchasing patterns may use a frequency distribution to show the variety of values in the gathered information (Black 24). It can achieve this by creating a frequency table including the various variables such as the number of products bought and their occurrences (the number of customers who purchased that number of items). As a result, the company could quickly determine the data’s extremes and determine which values occur most often.

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If a company wants to learn more about its clientele’s demographics, it may use a histogram to graphically display the data’s distribution of values. A bar chart showing the distribution of values across demographic categories such as age, gender, and race is one way to visualize this data (Nuzzo 309). A bar graph can show the number of customers in each demographic. This way, the company could immediately assess the data’s spread and identify occurrence patterns. Additionally, an individual might use a histogram to see the gradual increase or decrease in daily or weekly consumption of a product or service. They could then see whether there were any discernible patterns in the data.

Relative percentage graphics may help understand data, which can be utilized for various purposes, including corporate or personal projections. For instance, if a company wants to learn more about its clients’ purchasing patterns, it may create a relative percentage chart to show various data points (Mohr et al. 13). One may make a pie chart showing the proportion of clients with specific spending patterns such as product kind and purchase amount.

In summary, frequency distribution, histogram, or relative percentage graphics are excellent tools for addressing business or personal concerns involving data. Data visualization tools like these may help one get a bird’s-eye perspective of your data by highlighting trends and outliers.

Works Cited

Black, Ken. Business statistics: for contemporary decision making. John Wiley & Sons, 2019.

Mohr, Donna L., et al. Statistical Methods. 4th ed., Academic Press, 2022.

Nuzzo, Regina L. “Histograms: A useful data analysis visualization.” PM&R 11.3 (2019): 309-312.