1. Histogram
Applicable scenario: The applicable scenario is a two-dimensional data set (each data point contains two values of X and Y), but only one dimension needs to be compared to show the data changes in a period of time or to show the comparison between projects.
Advantages: Histogram uses the height of the column to reflect the difference of data, and the naked eye is very sensitive to the height difference.
Disadvantages: the limitation of histogram is that it is only suitable for small and medium-sized data sets.
Extended charts: stacked histogram and percentage stacked histogram.
We can not only see the value of each series intuitively, but also reflect the sum of series, especially when we need to look at the composition of a unit and the proportion of each series.
2. Bar chart
Applicable scenario: display the contrast between items, similar to a bar chart;
Advantages: each item clearly represents data and is intuitive;
Extended chart: stacked bar chart, percentage stacked bar chart.
3. Line chart
Applicable scenarios: Line charts are suitable for large two-dimensional data sets, and also for comparison of multiple two-dimensional data sets.
Advantages: It is easy to reflect the trend of data changes.
4. Various data graphs (one * * * has six types)
Applicable scenarios: suitable for data sets with spatial positions;
Advantages and disadvantages: used under special circumstances, involving administrative areas;
(1) administrative map (regional map)
(2) administrative map (bubble chart)
(3) Map: Point map
(4) Map: heat map
(5) Map: scatter plot
(6) Map: map+column chart/pie chart/bar chart.
5. Pie chart (ring chart)
Applicable scenario: shows the ratio of the size of each item to the sum of each item. Simple scale diagram is applicable, and it is applicable when fine data is not needed.
Advantages: Clearly display the proportion of data, especially suitable for scenarios such as channel sources.
Disadvantages: the naked eye is not sensitive to the size of the area.
6. Radar chart
Applicable scenario: Radar chart is suitable for multi-dimensional data (more than four dimensions), and each dimension must be sortable. Generally, there are about six data points, so it is difficult to distinguish if there are too many.
Advantages: It is mainly used to understand the changes of the company's data indicators and their good and bad trends.
Disadvantages: high cost of understanding.
7. Funnel diagram
Applicable scenario: Funnel chart is suitable for process analysis with many business processes, showing the conversion rate of each process.
Advantages: In web analytics, it is usually used for conversion rate comparison. It can not only show the final conversion rate of users from entering the website to realizing the purchase, but also show the conversion rate of each step, which can intuitively find and explain the problems.
Disadvantages: A single funnel chart cannot evaluate the conversion rate of each step in a website's key process.
8. Word cloud
Applicable scene: display word frequency, which can be used to make some user portraits and user labels.
Advantages: Very cool and intuitive chart. Disadvantages: The usage scenario is single, which is generally used for word frequency.
9. scatter plot
Applicable scenario: display the relationship between values in several data series, similar to XY axis, and judge whether there is some correlation between two variables. Scatter charts are suitable for three-dimensional data sets, but only two dimensions need to be compared.
Advantages: The scatter plot is very suitable for dealing with the distribution of values and the clustering of data points. If there are many points in the data set, then the scatter chart is the best chart type.
Disadvantages: Displaying multiple sequences in a point chart looks very confusing.
Extended chart: bubble chart (bubble chart is formed by resizing)
10. Regional map
Applicable scenario: emphasizing the degree of quantity change with time can also be used to attract people's attention to the trend of total value.
Expansion chart: Stacked area chart and percentage stacked area chart can also show the relationship between parts and the whole (or between several data variables).
1 1. indicator card
Applicable scenario: display a data result &; Same quarter-on-quarter data.
Advantages: there are many applicable scenarios, and the final result of the data can be intuitively told to viewers, usually yesterday, last week, etc. And you can also look at the ring comparison of different time dimensions.
Disadvantages: it is only a single data display, at most the same as the previous month, but it is impossible to compare other data.
12. Measurement chart
Applicable scenario: generally used to show the completion progress of the project.
Advantages: Very intuitive display of the progress of the project, similar to the progress bar.
Disadvantages: the expression effect is very clear, and the data scene is relatively simple.
13. Waterfall map
Applicable scenario: the combination of absolute value and relative value is suitable to express the quantitative change relationship between several specific values, and finally it is expressed as a cumulative value.
Advantages: It shows the evolution process between two data points and how the data is accumulated.
Disadvantages: There are not as many scenes as histograms and bar charts.
14. Zanguitu
Applicable scenario: For a specific type of flow chart, the branches at the beginning and the end are always the same width, and the flow of data from the beginning to the end is very clear. The branch width of the graph corresponds to the size of the data stream, and it is usually used for visual analysis of energy, material composition, finance and other data.
15. Sunrise map
Applicable scenario: the rising sun map can express clear hierarchy and ownership relationship, and it is composed of father-son hierarchy display data. The rising sun chart can facilitate data subdivision and traceability analysis, and truly understand the specific composition of data.
Advantages: Look at the data layer by layer intuitively, and look at the data layer by layer deeply.
16. Biaxial diagram
Applicable scenario: the combination of histogram and line chart is suitable for many situations, such as data trend and comparison with last month's data.
Advantages: it is particularly universal, and it is a combination of histogram and line chart, and the chart is very intuitive.
Disadvantages: this seems to have no shortcomings, personally.
All data charts are from BDP Personal Edition ~ ~ ~ The comprehensive effects of the charts are as follows: