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SAS Programming Graphs

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In data visualization, graphs are visual representations of data that allow us to analyze and interpret data more easily. There are several types of graphs, each with its own advantages and best use cases. Here are some of the most common types of graphs:

1. Line graph: A line graph displays data as a series of points connected by lines. It is typically used to show trends over time, such as changes in stock prices or temperatures.
2. Bar graph: A bar graph shows data as bars of different heights or lengths. It is useful for comparing data in different categories, such as sales figures by region.
3. Pie chart: A pie chart is a circular graph divided into slices, with each slice representing a portion of the whole. It is used to show proportions of a whole, such as the percentage of a budget spent on different expenses.
4. Scatter plot: A scatter plot is a graph that displays the relationship between two variables. It uses dots to represent individual data points, and is useful for identifying correlations between variables.
5. Histogram: A histogram is a graph that displays the frequency distribution of a set of data. It is useful for showing the shape of a data distribution, such as how many people fall into different height or weight ranges.
6. Box plot: A box plot, also known as a box and whisker plot, displays the distribution of a set of data using quartiles. It is useful for showing the range, median, and spread of data, as well as identifying outliers.

These are just a few examples of the many types of graphs that are available. The best type of graph to use will depend on the nature of the data being presented and the specific questions you are trying to answer.

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