Statistical charts are divided into the following categories:
1, bar chart
A bar chart represents a certain quantity by unit length, draws straight bars with different lengths according to the quantity, and then arranges these straight bars in a certain order. It is characterized in that the area of a circle is used to represent the total number, and the size of the sector in the circle is used to represent the percentage of the total number.
2, broken line statistics
A broken-line statistical chart represents a quantity with unit length, tracks all points according to the quantity, and then connects all points with line segments in turn, and indicates the increase or decrease of statistical quantity with the rise or fall of broken lines. It is characterized in that a unit length is used to represent a certain quantity, and the length of a straight rod is used to represent the quantity.
3, fan map
The sector statistical chart uses a whole circle to represent the total, and the size of each sector in the circle indicates the percentage of each part in the total. It is characterized in that a unit length is used to represent a certain quantity, and the rise or fall of a broken line is used to represent the change of number and quantity.
Brief introduction of statistical chart:
Statistical charts are images and maps of various geometric figures and things drawn according to statistics. It is intuitive, vivid and concrete. Statistical charts can simplify, popularize and visualize complex statistical data, which makes people clear at a glance and easy to understand and compare. Therefore, statistical charts play an important role in the collation and analysis of statistical data and are widely used.
Data expansion:
There are many kinds of statistical charts, including tabular charts, line charts, bar charts, pie charts, histograms, scatter charts, radar charts, funnel charts, box charts and contour charts, which are used to represent qualitative and quantitative data. Choosing the appropriate statistical chart can effectively transform the data into intuitive visual information.
Statistical chart consists of title, legend, coordinate axis, unit of measurement, data series, data identification and comments. These elements should be clearly and completely expressed, so that the information in the statistical diagram can be easily understood and analyzed. In composition, we also need to pay attention to the selection and scope of data, the collocation of titles and themes, the indication of measurement units, the distinction of data series, the completeness of coordinate axis labeling and the conciseness of comments.