Guide-linked quiz · Medium Level

How to Make Charts from Your Data with AI Quiz

Tests choosing the right chart type, why code execution matters for accurate numbers, and how to verify the aggregations behind an AI-made chart.

Question 1 of 8

What is the main advantage of using an AI assistant that can run code when making a chart from a CSV?

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Answers and explanations appear as you take the quiz.

  1. What is the main advantage of using an AI assistant that can run code when making a chart from a CSV?
    • It automatically picks a more attractive color palette
    • It reads the file with real code and plots the actual values
    • It never makes mistakes with dates or blank cells
    • It can build the chart without the data file
  2. You want to show how monthly website visits changed over two years. Which chart fits best?
    • Pie chart
    • Scatter plot
    • Line chart
    • Histogram
  3. Which chart best shows how a single numeric variable, such as test scores, is spread out?
    • Histogram
    • Pie chart
    • Line chart
    • Stacked area chart
  4. A bar chart's y-axis starts at 90 instead of 0. What is the main risk?
    • The bars will be colored incorrectly
    • The chart cannot display negative values
    • The totals will be recalculated automatically
    • Small differences between bars look much larger than they are
  5. Your data lists some rows as 'NY' and others as 'New York'. What can happen if you do not fix this before charting?
    • The AI will always merge them correctly on its own
    • The same place may appear as two separate bars with its total split between them
    • The chart will refuse to render
    • Only the longer label will be kept
  6. Which request does the most to help you verify an AI-made chart?
    • Ask the AI whether it is confident
    • Ask for a higher-resolution image
    • Ask for a different chart type
    • Ask it to print the summary table it plotted and how many rows it read
  7. Why can a date like 03/04/2024 cause errors when a tool guesses column types?
    • It can be read as March 4 or April 3, depending on the date format the tool assumes
    • Dates cannot be charted at all
    • It will always be treated as a plain number
    • Plotting libraries ignore date columns
  8. Why is averaging a column of averages a common trap?
    • Averages cannot be plotted
    • It always produces zero
    • It ignores that each group may contain a different number of rows
    • It makes the chart load slowly

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