How To Make A Scatter Plot In Tableau?

How to Make a Scatter Plot in Tableau

Scatter plots are a powerful tool for visualizing the relationship between two variables. They can be used to identify trends, outliers, and patterns, and to make predictions. In this tutorial, we will show you how to create a scatter plot in Tableau. We will cover the basics of scatter plots, including how to create them, how to add data labels, and how to customize the appearance. We will also show you how to use scatter plots to identify trends, outliers, and patterns.

By the end of this tutorial, you will be able to create effective scatter plots in Tableau to visualize the relationship between two variables and make informed decisions.

Step Instructions Screenshot
1 Create a new workbook in Tableau.
2 Drag and drop your data into the Data pane.
3 Select the “Scatter Plot” chart type from the Marks pane.
4 Select the fields you want to use for the x-axis and y-axis.
5 Click the “View” tab and select the “Show Legend” checkbox.
6 Click the “Format” tab and adjust the chart’s appearance as desired.

What is a scatter plot?

A scatter plot is a type of data visualization that shows the relationship between two variables. The x-axis of a scatter plot typically represents the independent variable, and the y-axis represents the dependent variable. The points on the scatter plot represent the values of the two variables for each observation in the data set.

Scatter plots are used to identify relationships between variables and to explore the data. They can be used to identify trends, outliers, and patterns. Scatter plots can also be used to make predictions about the value of one variable based on the value of another variable.

How to create a scatter plot in Tableau?

To create a scatter plot in Tableau, follow these steps:

1. Open the Tableau workbook that contains the data you want to visualize.
2. Click the Sheet 1 tab to select it.
3. Click the Marks button in the toolbar and select Scatter.
4. Drag the field that contains the values of the independent variable to the X-axis shelf.
5. Drag the field that contains the values of the dependent variable to the Y-axis shelf.
6. (Optional) Click the Color button in the toolbar and select a color for the points on the scatter plot.
7. (Optional) Click the Size button in the toolbar and select a size for the points on the scatter plot.
8. (Optional) Click the Shape button in the toolbar and select a shape for the points on the scatter plot.
9. Click the View button in the toolbar and select Show Legend to display the legend for the scatter plot.

10. (Optional) Click the Format button in the toolbar and adjust the formatting of the scatter plot.

11. Click the Play button to view the scatter plot.

Here is an example of a scatter plot created in Tableau:

[Image of a scatter plot created in Tableau]

This scatter plot shows the relationship between the number of hours of sleep per night and the test scores of a group of students. The points on the scatter plot show that there is a positive correlation between the number of hours of sleep per night and the test scores. This means that students who sleep more tend to have higher test scores.

Scatter plots are a powerful tool for visualizing data and identifying relationships between variables. They can be used to explore data, make predictions, and communicate insights.

How to Make a Scatter Plot in Tableau?

A scatter plot is a type of graph that shows the relationship between two variables. The x-axis of a scatter plot typically represents the independent variable, and the y-axis represents the dependent variable. The points on the scatter plot represent the values of the two variables for each data point.

To create a scatter plot in Tableau, follow these steps:

1. Open Tableau and create a new workbook.
2. Import your data into Tableau.
3. Drag the field that you want to use for the x-axis into the “Columns” shelf.
4. Drag the field that you want to use for the y-axis into the “Rows” shelf.
5. Click the “Marks” button and select “Scatter plot”.

Your scatter plot will now be displayed in the Tableau view. You can use the following options to customize your scatter plot:

  • Change the color of the points. To do this, click the “Color” button in the “Marks” pane and select a color from the palette.
  • Change the size of the points. To do this, click the “Size” button in the “Marks” pane and select a size from the slider.
  • Add a trend line. To do this, click the “Analysis” tab and select “Trendline”.
  • Add a legend. To do this, click the “View” tab and select “Legend”.

You can also use the following keyboard shortcuts to interact with your scatter plot:

  • Click and drag to zoom in and out.
  • Hold down the Shift key and click and drag to pan the view.
  • Double-click a point to view its data values.

Different Types of Scatter Plots

There are several different types of scatter plots that you can create in Tableau. The type of scatter plot that you create will depend on the data that you are working with and the insights that you are trying to gain.

  • Simple scatter plot: A simple scatter plot shows the relationship between two variables.
  • Multivariate scatter plot: A multivariate scatter plot shows the relationship between three or more variables.
  • Scatter plot with a trend line: A scatter plot with a trend line shows the overall trend in the data.
  • Scatter plot with a regression line: A scatter plot with a regression line shows the best-fit line for the data.
  • Scatter plot with a box plot: A scatter plot with a box plot shows the distribution of the data for each variable.

**

How to Interpret a Scatter Plot

The interpretation of a scatter plot will depend on the type of scatter plot that you are creating. However, there are some general principles that you can follow when interpreting a scatter plot.

  • Look for a trend. A trend is a general pattern in the data. For example, you might see a positive trend, where the values of the y-axis increase as the values of the x-axis increase. Or, you might see a negative trend, where the values of the y-axis decrease as the values of the x-axis increase.
  • Look for outliers. An outlier is a data point that is significantly different from the rest of the data. Outliers can be helpful for identifying unusual patterns in the data.
  • Use a trend line or regression line to help you interpret the data. A trend line or regression line can help you to identify the overall trend in the data.
  • Consider the distribution of the data. The distribution of the data can help you to understand the spread of the data and the likelihood of certain outcomes.

By following these principles, you can gain valuable insights from your scatter plots.

**

Scatter plots are a powerful tool for visualizing the relationship between two variables. By understanding how to create and interpret scatter plots, you can gain valuable insights into your data.

How do I make a scatter plot in Tableau?

To create a scatter plot in Tableau, follow these steps:

1. Select the data you want to use. The data should include at least two columns of numeric data.
2. Drag the first column of data to the X-Axis** shelf.
3. Drag the second column of data to the Y-Axis** shelf.
4. Click the Marks button and select Scatter**.
5. (Optional) To change the appearance of the scatter plot, you can do the following:

  • Change the Color of the points.
  • Change the Size of the points.
  • Change the Opacity of the points.
  • Add a Trendline to the plot.
  • Add a Title to the plot.

How do I change the axis titles in a scatter plot?

To change the axis titles in a scatter plot, follow these steps:

1. Right-click on the axis title you want to change.
2. Select Edit Axis Title.
3. Enter the new title in the Title field.
4. Click OK.

How do I add a trendline to a scatter plot?

To add a trendline to a scatter plot, follow these steps:

1. Right-click on the scatter plot.
2. Select Add Trendline.
3. Select the type of trendline you want to add.
4. (Optional) Enter the Confidence Level for the trendline.
5. (Optional) Enter the Name for the trendline.
6. Click OK.

How do I change the color of the points in a scatter plot?

To change the color of the points in a scatter plot, follow these steps:

1. Right-click on the scatter plot.
2. Select Edit Marks.
3. Click the Color button.
4. Select the color you want to use.
5. Click OK.

How do I change the size of the points in a scatter plot?

To change the size of the points in a scatter plot, follow these steps:

1. Right-click on the scatter plot.
2. Select Edit Marks.
3. Click the Size button.
4. Enter the size you want to use.
5. Click OK.

How do I change the opacity of the points in a scatter plot?

To change the opacity of the points in a scatter plot, follow these steps:

1. Right-click on the scatter plot.
2. Select Edit Marks.
3. Click the Opacity button.
4. Enter the opacity you want to use.
5. Click OK.

How do I add a title to a scatter plot?

To add a title to a scatter plot, follow these steps:

1. Right-click on the scatter plot.
2. Select Edit Title.
3. Enter the title you want to use.
4. Click OK.

In this blog post, we discussed how to create a scatter plot in Tableau. We covered the following topics:

  • What is a scatter plot?
  • How to create a scatter plot in Tableau
  • Different types of scatter plots
  • How to interpret a scatter plot

We hope this blog post has been helpful in learning how to create scatter plots in Tableau. Please feel free to leave any questions or comments below.

Author Profile

Carla Denker
Carla Denker
Carla Denker first opened Plastica Store in June of 1996 in Silverlake, Los Angeles and closed in West Hollywood on December 1, 2017. PLASTICA was a boutique filled with unique items from around the world as well as products by local designers, all hand picked by Carla. Although some of the merchandise was literally plastic, we featured items made out of any number of different materials.

Prior to the engaging profile in west3rdstreet.com, the innovative trajectory of Carla Denker and PlasticaStore.com had already captured the attention of prominent publications, each one spotlighting the unique allure and creative vision of the boutique. The acclaim goes back to features in Daily Candy in 2013, TimeOut Los Angeles in 2012, and stretched globally with Allure Korea in 2011. Esteemed columns in LA Times in 2010 and thoughtful pieces in Sunset Magazine in 2009 highlighted the boutique’s distinctive character, while Domino Magazine in 2008 celebrated its design-forward ethos. This press recognition dates back to the earliest days of Plastica, with citations going back as far as 1997, each telling a part of the Plastica story.

After an illustrious run, Plastica transitioned from the tangible to the intangible. While our physical presence concluded in December 2017, our essence endures. Plastica Store has been reborn as a digital haven, continuing to serve a community of discerning thinkers and seekers. Our new mission transcends physical boundaries to embrace a world that is increasingly seeking knowledge and depth.

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