Histogram and Additional Data Representations in SAS

The eyes of humans are equipped to detect colours and patterns. We can readily distinguish between red and green portions, as well as circles and squares. In a world where huge volumes of data are generated every day, data visualisation helps to capture our attention and maintain our concentration on the message so that we may make data-driven decisions. There are numerous data visualisation approaches and tools available, such as charts, graphs, and maps, that facilitate the identification of trends, outliers, and patterns in data. Another common way for representing data is the histogram, which represents an estimate of the probability of distribution for a continuous quantity. This post will demonstrate two distinct methods for creating an SAS histogram. But first, let's examine some of the most prevalent data forms available.

Data Representation Types

1. Bar Graph

A bar chart displays data horizontally or vertically, such as frequency or quantity. It may consist of single or grouped bars. The most typical application of bar charts is to compare items. By examining all the bars in the graph, it is simple to determine which sorts of data influence which.

2. Histogram

A histogram resembles a bar graph in appearance. Nevertheless, there are numerous distinctions between a histogram and a bar graph. A bar graph is utilised for categorical data (gender, months, grades, etc.), while a histogram is utilised for quantitative data (data about categorical variables).

3. Line Graph

A line graph employs lines and points to depict the progression of time. They can be used to show the daily growth of the world's population, the number of animals left on the planet, the daily growth of data, etc. It provides insight into the global developments that have occurred over time.

4. Pie Chart

A pie chart is a circular graphical representation of a numerical proportion. They are frequently employed to display percentages of a whole and percentages at a particular point in time. Unlike other data visualisations, however, pie charts do not depict changes over time. In most circumstances, it can be substituted by other data representations such as a bar chart, box plot, dot plot, etc.

5. Table of Frequency Distribution

A frequency distribution table allows you to summarise the chart's value and frequency. Typically, there are two or three columns. The first column contains the individual values for each outcome, while the second column provides the frequency of each occurrence. This data visualisation provides a glimpse of the data to facilitate the identification of patterns.

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