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DSE - Data Science Data Visualization and Communication Flashcards

6 cards from real DSE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which Python library is most commonly used for creating static statistical visualizations in data science?

    Answer: Matplotlib

    Matplotlib is the foundational Python plotting library widely used for static statistical charts and visualizations in data science.

  2. What type of chart is best suited for showing the frequency distribution of a single continuous variable?

    Answer: Histogram

    A histogram divides continuous data into bins and displays their frequencies, making it ideal for showing the distribution of a single continuous variable.

  3. Which visualization technique best shows the correlation between two continuous variables?

    Answer: Scatter plot

    A scatter plot places each observation as a point on a 2D plane using two continuous axes, making correlation patterns visually apparent.

  4. In a box plot, what do the 'whiskers' typically represent?

    Answer: 1.5× the interquartile range from Q1 and Q3

    By default, box plot whiskers extend to 1.5 times the IQR beyond Q1 and Q3, with points beyond that considered outliers.

  5. Which chart type is most appropriate for comparing proportions that sum to a whole?

    Answer: Pie chart

    A pie chart divides a circle into slices proportional to each category's share of the total, making part-to-whole comparisons intuitive.

  6. What is the primary analytical purpose of a heatmap in data science?

    Answer: Visualizing magnitude across a two-dimensional matrix using color intensity

    A heatmap encodes numeric values in a grid as colors, making it easy to spot patterns, clusters, or anomalies across two categorical dimensions.