Data Visualization
A List of the Data Visualizations
i.
ii.
iii.
Bar graphs
Pie charts
Line Graphs
Bar Graphs
The visual tool is crucial in illustrating segments of information for comparative analysis. The bar
graph (illustrated in figure 2) can be applied to show different characteristics of a specific item,
within the same visual. For example, a bar graph can indicate the mean, median, and frequency
values of an item in a combined form and on the same graph (Granados, et al., 2022). The same
statistics for a different element can also be indicated in the same graph, hence conveniences data
comparison. Additionally, a bar graph can indicate changes in variables over time. For example, a
bar graph can indicate the values of sales for each of the 12 months of a year – the height of a bar
indicates the value of sales, which enhances the ease of analysis (Leixian, et al., 2022). The
preparation of a bar graph requires organizing the labels across the spreadsheet and variables down
the columns.
Figure 1: A Bar Graph
Pie Charts
A pie chart (see figure 3) provides a pictorial view of data based on the size of proportions – the
biggest proportion indicates the highest variable. A pie chart indicates the proportions of onedimensional data relative to the total. For example, the distribution of a population based on gender
(Gandhi & Pruthi, 2020). Data for display in a pie chart is arranged in rows and columns indicating
the group labels and variables, respectively.
Figure 2: Pie Chart
Line Graphs
A line graph indicates a time series trend of data, for example, the rate of increase of infections
over time. A line graph can show different variables on the same visual (Leixian, et al., 2022). The
data is arranged in rows for the labels and in columns for the variables. Figure 4 shows an example
of a line graph.
Figure 3: A Line Graph
References
Gandhi, P. & Pruthi, J., 2020. Data Visualization Techniques: Traditional Data to Big Data.
s.l.:Manav Rachna International University.
Granados, D., Ugalde, J., Salas, R. & Torres, R., 2022. Visual-Predictive Data Analysis
Approach for the Academic Performance of Students from a Peruvian University, s.l.:
Peruvian University.
Leixian, S., Tai, E. S. & Xu, Y., 2022. Visual Data Analysis with Task-Based Recommendations,
s.l.: Tsinghua University.