Challenge: Visualize Test Status Distribution
In QA engineering, visual summaries such as charts are powerful tools for quickly communicating the outcomes of test executions to both technical and non-technical stakeholders. Pie charts, in particular, are effective for illustrating the proportion of passed and failed tests, making it easy to spot issues at a glance and prioritize further investigation. In this challenge, you will practice your data visualization skills by creating a pie chart that displays the distribution of test statuses from a static list.
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Create a function that generates a pie chart visualizing the distribution of test statuses from a hardcoded list. The goal is to provide a clear summary of passed and failed test proportions.
- Count the number of "passed" and "failed" values in the
test_statuseslist. - Generate a pie chart using
matplotlib.pyplot.pie, with labels for "Passed" and "Failed". - Use different colors for each status.
- Display the percentage of each status on the chart.
- Set the chart title to "Test Status Distribution".
- Ensure the chart is displayed with equal aspect ratio.
Рішення
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What data should I use for the test statuses in the pie chart?
Can you guide me on how to create a pie chart for this scenario?
What tools or libraries do you recommend for making the pie chart?
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In QA engineering, visual summaries such as charts are powerful tools for quickly communicating the outcomes of test executions to both technical and non-technical stakeholders. Pie charts, in particular, are effective for illustrating the proportion of passed and failed tests, making it easy to spot issues at a glance and prioritize further investigation. In this challenge, you will practice your data visualization skills by creating a pie chart that displays the distribution of test statuses from a static list.
Swipe to start coding
Create a function that generates a pie chart visualizing the distribution of test statuses from a hardcoded list. The goal is to provide a clear summary of passed and failed test proportions.
- Count the number of "passed" and "failed" values in the
test_statuseslist. - Generate a pie chart using
matplotlib.pyplot.pie, with labels for "Passed" and "Failed". - Use different colors for each status.
- Display the percentage of each status on the chart.
- Set the chart title to "Test Status Distribution".
- Ensure the chart is displayed with equal aspect ratio.
Рішення
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