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Assessment and Recap


15. Assessment and Recap

This section checks your understanding of line charts and Python Matplotlib.

E. Short Lesson Summary

A line chart is a graph that displays numerical information using data points connected by lines.

In this lesson, we learned:

  1. Line charts are useful for showing changes over time.
  2. The X-axis normally represents time or an ordered sequence.
  3. The Y-axis represents numerical values.
  4. plt.plot() creates a line chart.
  5. plt.title() adds a chart title.
  6. plt.xlabel() and plt.ylabel() add axis labels.
  7. marker displays individual data points.
  8. color, linewidth, and linestyle customize the line.
  9. plt.grid() displays gridlines.
  10. plt.legend() identifies different lines.
  11. plt.annotate() displays values near data points.
  12. plt.savefig() saves the chart as an image.
  13. Multiple line charts help compare different datasets.
  14. Line charts help identify increasing, decreasing, stable, and fluctuating trends.

F. Key Terms to Remember

Term Meaning
Line Chart A chart that connects data points using lines.
Matplotlib A Python library for creating charts.
Pyplot Matplotlib’s plotting interface.
X-axis Horizontal axis.
Y-axis Vertical axis.
Data Point A point representing a numerical observation.
Marker A symbol showing a data point.
Gridlines Reference lines that help read chart values.
Legend Identifies different datasets.
Trend General direction of data changes.
Fluctuation Repeated increases and decreases.
Annotation Additional information displayed near a chart element.
Multiple Line Chart A chart containing two or more lines.

G. Answer Key

For instructors and self-assessment. Students should attempt all questions before checking these answers.

Assessment answer key

13 questions

Reveal answer key