Are you looking to create a geographical map chart in Microsoft Excel? This type of chart is a great way to visualize data that is related to specific locations. Whether you want to display sales data by region or track the spread of a virus across different countries, a geographical map chart can help you present your data in a clear and visually appealing way.
In this article, we will guide you through the steps of creating a geographical map chart in Microsoft Excel. By the end, you will have the skills to create your own map chart and impress your colleagues and clients with your data visualization abilities.
Why Use a Geographical Map Chart?
Before we dive into the steps of creating a geographical map chart, let’s first understand why it is a useful tool for data visualization.
Visualize Data by Location
A geographical map chart allows you to plot data points on a map, making it easy to see patterns and trends based on location. This is especially useful when working with data that is related to specific regions or countries.
For example, if you are a sales manager and want to see which regions are performing the best, a map chart can quickly show you which areas are generating the most revenue. This can help you make informed decisions about where to focus your efforts and resources.
Track Data Over Time
Another benefit of a geographical map chart is that it can be used to track data over time. By creating multiple map charts for different time periods, you can see how data has changed and evolved over time.
For instance, if you are tracking the spread of a virus, you can create a map chart for each month to see how it has spread to different countries. This can help you identify hotspots and make predictions about future outbreaks.
How to Create a Geographical Map Chart in Microsoft Excel
Now that you understand the benefits of a geographical map chart, let’s dive into the steps of creating one in Microsoft Excel.
Step 1: Prepare Your Data
The first step is to prepare your data in a format that is suitable for a map chart. Your data should include a column with the names of the locations you want to plot on the map, and a column with the corresponding data values.
For example, if you want to plot sales data by country, your data might look like this:
| Country | Sales | |———|——-| | USA | $1000 | | Canada | $500 | | Mexico | $750 |
Step 2: Insert a Map Chart
Next, select your data and go to the “Insert” tab in the Excel ribbon. Click on the “Maps” button and select “Filled Map” from the drop-down menu.
Step 3: Customize Your Map Chart
Once your map chart is inserted, you can customize it to your liking. You can change the color scheme, add a legend, and even add data labels to your map.
To change the color scheme, click on the map and go to the “Format” tab in the Excel ribbon. From there, you can choose from a variety of color options to make your map visually appealing.
To add a legend, click on the map and go to the “Layout” tab in the Excel ribbon. Click on “Legend” and select the position and style you prefer.
To add data labels, click on the map and go to the “Layout” tab in the Excel ribbon. Click on “Data Labels” and select the position and style you prefer.
Step 4: Add Data Labels
Data labels can be a useful addition to your map chart as they allow you to see the exact values for each data point. To add data labels, click on the map and go to the “Layout” tab in the Excel ribbon. Click on “Data Labels” and select the position and style you prefer.
Step 5: Save and Share Your Map Chart
Once you are satisfied with your map chart, you can save it and share it with others. You can save it as an Excel file or export it as an image to include in presentations or reports.
Tips for Creating an Effective Geographical Map Chart
To ensure that your geographical map chart is effective and easy to understand, here are some tips to keep in mind:
Use a Suitable Projection
When creating a map chart, it is important to choose a projection that accurately represents the locations you are plotting. For example, if you are plotting data for the entire world, a Mercator projection may be suitable. However, if you are only plotting data for a specific region, a different projection may be more appropriate.
Choose a Color Scheme That Makes Sense
When choosing a color scheme for your map chart, make sure it makes sense and is easy to understand. For example, if you are plotting data for different sales regions, you may want to use a color scheme that corresponds to your company’s branding.
Keep Data Labels Clear and Concise
Data labels can be a useful addition to your map chart, but make sure they are clear and concise. If there are too many data labels, it can make the map look cluttered and difficult to read.
Real-World Examples of Geographical Map Charts
Geographical map charts are used in a variety of industries and for different purposes. Here are some real-world examples of map charts in action:
Tracking the Spread of COVID-19
As mentioned earlier, a geographical map chart can be used to track the spread of a virus. During the COVID-19 pandemic, map charts have been used to show the number of cases and deaths in different countries.
Visualizing Sales Data
Sales teams often use geographical map charts to visualize sales data by region. This allows them to see which areas are performing well and which areas may need more attention.
Analyzing Market Trends
Market researchers can use geographical map charts to analyze market trends and identify potential opportunities. By plotting data on a map, they can see which regions have the most potential for growth.
Conclusion
Creating a geographical map chart in Microsoft Excel is a simple and effective way to visualize data by location. By following the steps outlined in this article, you can create your own map chart and use it to gain valuable insights from your data.
Remember to choose a suitable projection, use a clear and concise color scheme, and keep data labels to a minimum for an effective map chart. With these tips in mind, you can create impressive map charts that will help you make informed decisions and communicate your data effectively.
