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1) Bar chart: also known as a bar chart, which represents the situation of independent indicators at different stages, with two-dimensional or multi-dimensional, and the legend is located in the upper right.
2) Percent Bar Chart and Circle Chart: Describe the size of the percentage (composition ratio) and express the different proportions with colors or various graphics.
3) Line diagram: The rise and fall of the line is used to represent the development and change trend of things, which is mainly used to measure data and describe the relationship between two variables.
4) Semi-logarithmic line chart: The vertical axis uses a logarithmic scale to describe the change rate and trend of a set of continuous data.
5) Histogram: Describe the frequency distribution of metrological data.
7) Statistical map: Describe the geographical distribution of a certain phenomenon.
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Statistical tables can generally be divided into simple statistical tables and double-entry statistical tables (combinations), or single-item tables and multi-item tables.
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The forms of statistical tables are complex and simple, and are usually divided into two types: single-entry statistical tables and double-entry statistical tables according to the number of items. The ** that only counts the data of a certain item is called a single-entry statistical table, also known as a simple statistical table. Statistics with two or more statistical items** are called double-entry statistical tables.
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Simple table: ** has only one central meaning, that is, ** below two dimensions.
Composite table: ** has multiple central meanings, that is, more than three dimensions**.
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Bar charts, sector charts, line charts.
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Single-entry tables and double-entry tables.
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Bar tables and lines.
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Bar tables and lines.
Statistics.
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There are statistical tables of numbers, and I don't know anymore.
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Hello, I am glad to answer your questions, according to the form of the data in the statistical table, the statistical table can be divided into two types: horizontal comparison table to do cherry macro grid and vertical comparison**. 1.
Horizontal comparison**: also known as row comparison**, is to put the data of different items at the same point in time or the same period on different columns. For example, compare the population growth of different cities by placing the population of each city at the same point in time in different columns.
2.Longitudinal comparison: Also known as column comparison, data from the same item at different points in time is placed on different rows for comparison.
For example, to compare the population growth of a city over the past few years, put the population numbers of each year on different rows of ** for comparison. In short, the two statistical tables are commonly used data display methods, but different display methods are adopted for different forms of data, and the corresponding ** type is usually selected according to the specific situation to display the data.
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There are two types of statistical tables: single-entry statistical tables and double-entry statistical tables.
1. Single-entry statistical table:
A single-entry table is a table that contains statistics that contain only one dimension or metric. Here are a few common single-entry statistical tables:
1. Dimension unimodal table: Dimension unimodal table refers to the ** that is counted on the basis of one dimension. This kind of ** generally only displays data of a specific dimension, such as statistics by time, region, product and other dimensions.
2. Indicator single table: The indicator single table refers to the ** that is based on an indicator for statistics. This kind of ** generally only shows the data of a specific indicator, such as sales, profit margin and other indicators.
Second, the cover late double-entry statistical table:
A double-entry table is a single statistic that contains multiple dimensions and/or metrics. Here are a few common double-entry statistical tables:
1. Dimension double-entry table: Dimension double-entry table refers to the statistics based on multiple dimensions. This kind of data can be displayed in multiple dimensions at the same time, such as statistical analysis according to different time periods and regions.
2. Index double-entry table: The index double-entry table is based on multiple indicators. This kind of ** can display data from multiple indicators at the same time, such as sales, profit margin, and market share at the same time.
3. Dimension and indicator double-entry table: Dimension and indicator double-entry table refers to a table that contains multiple dimensions and multiple indicators for statistics at the same time. This can show the relationship between different dimensions and the data values of each metric at the same time.
4. Cross-double-entry table: Cross-double-entry table refers to statistical analysis based on double-entry table through cross-dimension or cross-index. This allows for more flexibility in exploring the relationship between different dimensions and metrics.
Expand your knowledge: Single-entry and double-entry tables are commonly used in different statistical scenarios. Single-entry statistical tables are suitable for simple statistical needs, and can intuitively present the data of a certain dimension or a certain indicator.
Double-entry statistical tables are suitable for complex statistical needs, and can display data from multiple dimensions and indicators at the same time to help analysis and decision-making. In practical application, according to the specific statistical purpose and data analysis needs, the appropriate form of statistics can better meet the needs of users.
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Statistical tables can be divided into two types: quantitative statistical tables and qualitative statistical tables.
A quantitative statistical table is a statistical table based on numerical data, usually containing numbers, quantities, or units of measurement. This kind of statistical table is usually used to show only the quantity, proportion, mean, standard deviation and other statistical indicators.
A qualitative statistical table is a statistical table based on non-numerical data, usually containing text, descriptions, classifications, or labels. This type of statistical table is usually used to represent statistical indicators such as classification, frequency, percentage, etc.
Depending on the purpose of the statistics and the type of data, we can choose to use quantitative or qualitative statistical tables to display relevant data.
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Statistical tables can be divided into two types: single-entry statistical tables and double-entry statistical tables.
So the answer is: unimodal; Compound.
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The statistical tables are divided into the following three categories according to the overall grouping: paragraph talks.
1. Bridge Burn Carry Simple Table: There is no grouping for the overall Minfu, but only a simple list of the time or unit to which the statistics belong.
2. Simple grouping table: A statistical table that groups the population by only one flag.
3. Composite grouping table: a statistical table in which the population is grouped in cascades according to two or more signs.
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Commonly used statistical tables include single-entry statistical tables and double-entry statistical tables.
A single-entry statistical table is a form of statistical data drawn by vertical and horizontal crossed lines. According to the introduction, a statistical table is a kind of ** made from raw data. In order to close the actual needs of the manuscript, people often have to sort out and classify the interrelated data obtained in industrial and agricultural production, science and technology, and daily work according to certain requirements, and arrange the data in a certain order to make a statistical table.
The statistical table consists of a single-entry family state meter, a double-entry statistical table and a 100-megabit source score statistical table, the most important of which is the double-entry statistical table.
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1. According to the function, the statistical table can be divided into three types: the questionnaire for collecting and registering data; Statistical collation of data or summary table of data, Shoushan is also called collation of Jingqin annihilation table; An analysis table that analyzes the statistically good data.
2. The statistical table is a kind of data made of raw data, according to actual needs, people usually arrange the data related to life in accordance with certain requirements and sequences, and make it into a statistical table. The statistical table can show the statistical data in a centralized and orderly manner.
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