Eg.

The company helps small clothing stores manage their inventory, and sales are booming. One day, you learn that your company is getting ready to make a major update to its website. To guide decisions for the website update, you’re asked to analyze data from the existing website and sales records. Let’s go through the steps you might follow.

Step 1: Explore the data for patterns

First, you ask your manager or the data owner for access to the current sales records and website analytics reports. This includes information about how customers behave on the company’s existing website, basic information about who visited, who bought from the company, and how much they bought.

Step 2: Plan your visuals

Next, it is time to refine the data and present the results of your analysis.

Since you know your audience is sales oriented, you already know that the data visualization you use should:

• Show sales numbers over time
• Connect sales to location
• Show the relationship between sales and website use
• Show which customers fuel growth

Step 3: Create your visuals

Now that you have decided what kind of information and insights you want to display, it is time to start creating the actual visualizations.

Some charts:

Build your data visualization toolkit

• You can use the visualization tools in your spreadsheet to create simple visualizations such as line and bar charts.
• You can use more advanced tools such as Tableau that allow you to integrate data into dashboard-style visualizations.
• If you’re working with the programming language R you can use the visualization tools in RStudio.