Scatter Chart Template Excel 2015

A scatter chart is a type of chart that displays data points on a two-dimensional graph. It is used to show the relationship between two variables and can be particularly useful in identifying patterns or trends in the data. In Excel 2015, there are several scatter chart templates available that can make creating these charts quick and easy.

Sample Scatter Chart Templates

1. Sales Performance

This scatter chart template can be used to track sales performance over time. The x-axis represents the time period, such as months or quarters, and the y-axis represents the sales amount. Each data point on the chart represents the sales amount for a specific time period.

2. Customer Satisfaction

This scatter chart template can be used to measure customer satisfaction levels. The x-axis represents different aspects of customer satisfaction, such as product quality or customer service, and the y-axis represents the customer satisfaction score. Each data point on the chart represents the customer satisfaction score for a specific aspect.

3. Employee Productivity

This scatter chart template can be used to track employee productivity. The x-axis represents different metrics, such as tasks completed or sales made, and the y-axis represents the productivity level. Each data point on the chart represents the productivity level for a specific metric.

4. Market Analysis

This scatter chart template can be used to analyze market trends. The x-axis represents market variables, such as price or demand, and the y-axis represents market performance. Each data point on the chart represents the market performance for a specific variable.

5. Project Management

This scatter chart template can be used to track project progress. The x-axis represents different project milestones, such as planning or execution, and the y-axis represents the progress level. Each data point on the chart represents the progress level for a specific milestone.

Frequently Asked Questions (FAQ)

1. How do I create a scatter chart in Excel 2015?

To create a scatter chart in Excel 2015, you can follow these steps:

1. Select the data you want to include in the chart.

2. Go to the “Insert” tab and click on the “Scatter” chart type.

3. Choose the scatter chart template that best suits your needs.

4. Customize the chart by adding titles, labels, and formatting options.

5. Click on “OK” to create the scatter chart.

2. Can I customize the appearance of the scatter chart?

Yes, you can customize the appearance of the scatter chart in Excel 2015. You can change the color, size, and shape of the data points, as well as add titles, labels, and gridlines to the chart. You can also change the axis labels and formatting options to suit your preferences.

3. How can I interpret the data on a scatter chart?

To interpret the data on a scatter chart, you can look for patterns or trends in the data points. If the data points are clustered together in a specific area, it may indicate a strong relationship between the variables. If the data points are scattered randomly, it may indicate a weak or no relationship between the variables. You can also use regression analysis to determine the strength and direction of the relationship.

4. Can I add trendlines to a scatter chart?

Yes, you can add trendlines to a scatter chart in Excel 2015. A trendline is a line that shows the general direction or trend of the data. It can be useful in identifying the relationship between the variables and making predictions based on the data. To add a trendline, you can right-click on a data point, select “Add Trendline,” and choose the type of trendline you want to add.

5. Can I add multiple series to a scatter chart?

Yes, you can add multiple series to a scatter chart in Excel 2015. Each series represents a different set of data points, and you can customize the appearance of each series to distinguish them from one another. To add multiple series, you can select the data for each series and follow the same steps to create a scatter chart.

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scatter chart, excel 2015, data visualization, templates, trends, patterns, customization, interpretation, trendlines, multiple series