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How can you define a shared X-axis for both visualizations in a mixed chart?

Where can you customize the chart title, axis labels, and other options when creating a mixed chart?

Which step is common when creating a mixed chart in both Explore view and SQL Lab?

What action should you take to choose the chart type for each series in a mixed chart?

In Flow.BI, where can you create a mixed chart using SQL queries?

What is the purpose of clicking the Save button in the context of creating a mixed chart?

What is one difference between creating a mixed chart in Explore view and SQL Lab?

In the provided SQL query example, what does 'SUM(sales) AS total_sales' represent?

Which section should you access to select fields for a mixed chart when using Flow.BI?

What does the COUNT(*) function calculate in the SQL query example?

What is an essential step after customizing a mixed chart in Flow.BI?

Why is it important to use a consistent color scheme in a mixed chart according to the text?

What role does interactivity play in creating effective mixed charts?

How can labels contribute to an effective mixed chart according to the text?

What is the main benefit of adding annotations to a mixed chart?

Why are mixed charts considered valuable for visualizing data according to the text?

To create a mixed chart in Flow.BI, you can only use the Explore view, not SQL Lab.

In the Explore view, you can select the chart type for each series in the mixed chart by clicking the Chart Type dropdown menu.

In SQL Lab, after executing the query, you should directly save the mixed chart without any further customization.

Creating a mixed chart requires defining a shared Y-axis for both visualizations.

To select fields for a mixed chart in Flow.BI's Chart Builder, you need to access the Data tab.

In Flow.BI, the main benefit of adding annotations to a mixed chart is to change the color scheme.

Creating a mixed chart in SQL Lab involves writing a SQL query to select and visualize the data.

Customizing a mixed chart in Flow.BI includes setting the title, axis labels, and other options before saving it.

In a mixed chart, the total sales are represented on the left y-axis as a pie chart.

Annotations or labels are not recommended for mixed charts as they can clutter the visualization.

The SQL query provided includes a GROUP BY clause to aggregate data by date.

Interactivity is not a relevant feature in creating effective mixed charts according to the text.

Creating mixed charts is only beneficial for those with prior knowledge of the data being visualized.

The example SQL query calculates the number of sales made on each date.

A clear and concise title is not necessary when creating a mixed chart.

Using a consistent color scheme throughout a mixed chart is not important for visual appeal.

Match the following with the correct steps for creating a mixed chart in Flow.BI:

Match the following with the correct actions for customizing a mixed chart in Flow.BI:

Match the following with their roles in creating a mixed chart in SQL Lab:

Match the following with their importance in creating effective mixed charts:

Match the following tips for creating effective mixed charts with their descriptions:

Match the following components of a mixed chart with their corresponding positions:

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Match the following actions in creating mixed charts with their purposes: