Scatter Plot Maker
*Export without watermark after clearing.
*Importing to Excel will overwrite the original data, cell A1 cannot be empty.
*It is recommended to log in and use it on a computer, Google Chrome is best.
Scatter Slot Maker Introduction
Make a scatter plot online and convert data into a visual scatter plot. After the scatter plot is made, it can be saved to the local device.
What is a scatter plot?
A scatter plot is a type of data visualization chart used to represent the relationship or correlation between two continuous variables. It consists of a series of points or data markers, where the position of each point represents the value of two variables, usually one variable is on the horizontal axis and the other variable is on the vertical axis. Scatter plots are an effective way to visualize the distribution, association, trend, and outliers between two variables.
What kind of data is suitable for scatter plots?
Relationship analysis:
Scatter plots are most often used to represent the relationship between two variables. By observing a scatter plot, you can quickly understand whether the correlation between the two variables is positive or negative, and the strength of the relationship.
Data distribution:
Scatter plots can be used to visualize the distribution of data. If the data points are clustered together in a scatter plot, it may indicate that there is some relationship between the two variables. If the data points are scattered throughout the chart, it may indicate that there is no obvious association between the two variables.
Trend analysis:
By observing the distribution of points in a scatter plot, you can identify any possible trends or patterns, such as linear trends, curvilinear trends, or cyclical trends.
Outlier detection:
Scatter plots are also used to detect outliers. Outliers are usually data points that are significantly different from other points in a scatter plot and may indicate abnormalities in the data.
Correlation analysis:
If you want to understand the degree of correlation between two variables, scatter plots can help you visually observe the strength and direction of the correlation.
Cluster analysis:
Scatter plots can also be used to identify clusters or clusters in the data. Clusters usually indicate that the data has some similarity on two variables.
Experimental results visualization:
In scientific experiments and engineering research, scatter plots are used to visualize experimental results to help researchers understand the relationship between experimental data.