Data analysis and presentation must include the description of the data using graphs and tables. We can graphically display and summarize data using graphs and tables, which makes it simpler to spot patterns, trends, and linkages.

It will give a general overview of the graphs and tables that are frequently used to describe data in this reply

Graphs

a. Bar Graphs : Bar diagrams are employed to display categorical data. Each bar represents a category, and the height of the bar denotes the frequency, count, or proportion of the category. They are made up of  rectangular bars of varied lengths.

b. Line Graphs : Line graphs are used to show how two continuous variables relate to one another. We may use trends and changes over time or on other data points connected by lines.

c. Circular Graphs : Pie charts are circular graphs that are used to show percentages or proportions. each slice of the circle symbolizes a category, with the size of the  slice matching to its percentage to the whole.

d. Histograms : Histograms are used to shw how continously varying variables are distributed. They are made up of bars of varied heights, where the height denotes the frequebcy or density of observations within each range and the base denottes the range of values.

e. Scatter Plots : Scatter plots are used to show up two continuous variables relate to one another. On the graph, each data point is represented by a dot, and the horizontal and vertical axes stand in for the corresponding variables.

Tables

a.Tables of frequency : In a dataset, frequency tables show tha counts or frequencies of each category. They are especially beneficially for condensing categorical data and giving a brief summary of the distribution.

b. Cross-tabulations, commonly referred to as contingency tables, are used to analyze the correlation between two category variables. The frequency or percentage of observations for each combination of categories is shown in the table.

c. Summary statisticas tables : These tables present the most important numerical metrics that sum up the distribution of a variable. Measures including mean,median, mode, standard deviation, minimum,maximum, and quartiles may be included in these statistics.

d. Pivot Tables : Interactive tables that enable the examination and summary of ig database are known as pivot tables. They give users the ability to reorganize and edit the data in order to investigate various aspects and compute aggregated values.

When describing data using graphs and tables, it's crucial to select the visualization or table type that best  captures tha information and conveys the message you want to get across. Additionally, giving the data being presented clear labels titles and axis descriptions improves comprehension and interpretation.