How to draw statistical graphs?

This article was elaborated from five perspectives, first of all, SPSSAU automatic charting perspective, SPSSAU charting ideas perspective (X and Y perspective), visualization charts how to use correctly, as well as a part of the special statistical charts on how to deal with and SPSSAU graphical style adjustments and so on.

The first part of the SPSSAU analysis of automatic graphs

In the data analysis, such as frequency analysis, want to understand the proportion of male and female distribution, this time directly to the analysis of the SPSSAU default will generate the corresponding graphs, analysis of variance, T-tests, cross-tabulation analysis, etc. is also the same.

SPSSAU will always provide the most appropriate chart by default, but of course you can choose to use it. The reason why SPSSAU can do this is that the type of data is already brought along when doing the analysis, so SPSSAU knows by default what kind of graphs should be drawn.

For example, if you do a cross-tabulation analysis, when you get a canonical table, SPSSAU will by default generate the corresponding bar chart, bar chart, stacked bar chart or stacked bar chart, etc. The graphs provided by SPSSAU by default are usually optimal, and if you wish to switch to other types, just point and click.

Or in the analysis of variance, you need to compare the difference between the means of different categories of data, then the use of line graphs is the optimal choice, so SPSSAU will provide line graphs by default, as follows:

Line graphs are the best way to compare the mean, of course, if you need to use other graphics, such as bar charts, bar charts or radar charts, etc., click on the switch. If there are special needs, this time you can also download the data directly from the chart, or their own chart in EXCEL can be.

SPSSAU visualization combines the idea of data analysis methods, the default to provide an accurate visual graphical display, which is an integral part of the SPSSAU Intelligent System, if they have characteristics of the preference, want to follow their own ideas to draw, the next part of the second part of the story of how to follow their own ideas to draw.

Part II Graphing ideas X and Y

There is in fact a kind of thinking that goes into graphing, the same as data thinking, analytical thinking, and analytical thinking in the previous 3 articles. First of all, differentiate the type of data, drawing a graph is usually a reflection of the relationship between X and Y. Then you need to know X and Y respectively. Then you need to know what the data types of X and Y respectively, the following summarizes a table as follows:

In accordance with the thinking of X and Y, the first to identify the data types of X and Y, respectively, can be used directly. SPSSAU currently provides a cumulative ****30 types of graphics, distributed in various methods of automatic generation, of course, there are still a number of complex or special graphs need to do their own graphs.

For example, multi-dimensional bar charts, multi-dimensional bar charts or multi-dimensional line graphs, multi-dimensional box plots, multi-dimensional error line graphs and so on. All can be found in the SPSSAU visualization, as follows:

If you want to analyze the differences in occupational identity between people of different genders and with different marital status, and you want to show the differences through graphical visualization; obviously there are 2 X's in here, and they are all fixed class data; occupational identity is quantitative data, so you can use a 'cluster graph ' is carried out as follows:

In addition to this, SPSSAU also provides combination, bubble, violin, and kernel density plots.

Part III The correct use of visualization graphs

The previous two parts have been about how to graph on SPSSAU, very simple and easy to understand, this part of the story of how to carry out the use of graphs, i.e., graphs how to explain. First of all, in the selection of the correct graphic based on the example, usually, we all hope that the graphic presentation of valuable information, such as whether the data has a significant difference, or whether the data has a clear correlation, or to see whether the distribution of data has a normal and so on.

Still take the type of data as an example, if the data for a fixed class of data, then the percentage of data selection is 100%, if 100%, then the use of pie charts may be, or columns as high as the stacked columns (or bars) is more appropriate, because of the need for special presentation of the proportion of the sum of the effect of 100%; if the data for the quantitative data, then it is usually the size of the average value of the view! If the data is quantitative, then it is usually better to look at the size of the average for direct comparison, with the higher height of the line indicating a larger average. Of course, it is possible to use other indicators, such as the median and so on, but it does not matter, after choosing the right visualization chart can be described directly, there is no complexity to speak of.

We need to make a special point is that SPSSAU in the visualization inside the universal 'cluster graph', here SPSSAU intelligent processing, no matter what kind of data you put in the SPSSAU will always help you to generate the corresponding graphics, without having to deal with each place in the end.

Part IV Special Statistical Chart Processing

Graphic visualization is used more inside the statistics, such as box line graph to see whether the data have outliers, or compare the difference in the data; error line graph to see the magnitude of fluctuations in the data and the difference in the situation; PP/QQ chart to see the normality of the data situation; Pareto analysis 'the principle of two eights 'to find the cause of the problem, you can also use scatter plots to understand the relationship between the data, etc., in the SPSSAU 'visualization' inside all can be achieved, the effect of charting is as follows:

Part V. SPSSAU Visualization Chart Style Settings

The above have been Explain the various types of SPSSAU visualization graphics, and then explain the SPSSAU visualization map style settings, usually after the map, such as wanting to switch under the style style, or decimal places, or do not want to show the axes, etc., can be generated in the visualization of SPSSAU below the setup, as follows:

The SPSSAU currently provides fonts, font sizes, decimal places, whether to hide the label, whether to display the Y-axis, as well as four types of color style settings, the settings only need to be set in any one place, the follow-up and all the other charts will be based on the settings to generate a 'visualization map', do not need to repeat the settings.