How do statistical tables present data?

Statistical tables use numbers to present data; from a formal point of view, the statistical table consists of titles, horizontal rows, columns, numbers and other parts; from a content point of view, it consists of two parts: subject and object. The main term is the object to be explained in the statistical table, and is composed of the names of the overall group, each group of the overall group, and the names of each unit of the overall group.

# Statistical tables present data in (numbers).

Bar charts present data using (straight bars).

They can all be clearly seen (statistical results).

The statistical table is a table that reflects statistical data. It is a form of reasonable description of statistical indicators. It makes statistical data organized, concise and clear, and facilitates checking the completeness and accuracy of numbers, as well as comparative analysis.

In terms of form, statistical tables consist of titles, horizontal rows, columns, numbers and other parts. From the content point of view, it consists of two parts: subject and object. The main term is the object to be explained in the statistical table, and is composed of the names of the overall group, each group of the overall group, and the names of each unit of the overall group.

Bar charts are mainly used to represent discrete data, that is, count data.

The same thing between single-entry bar chart and compound bar chart is that both can make people clearly see the quantity. The difference is that a single bar chart is used to compare one object, while a compound bar chart is used to compare the quantities of multiple objects.

Extended information:

Statistical chart type:

1. Percent bar chart and circle chart: describe the size of the percentage (composition ratio), using colors or various graphics Express different proportions.

2. Line graph: Use the rise and fall of lines to represent the development and change trends of things. It is mainly used for measuring data and describing the relationship between two variables.

3. Semi-logarithmic line chart: The vertical axis uses a logarithmic scale to describe the change speed and trend of a set of continuous data.

4. Scatter plot: Describe the correlation between two phenomena.

5. Statistical map: describes the geographical distribution of a certain phenomenon.

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