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Data Visualization Quiz - CBSE Class 11 ICT

Free practice quiz: Data Visualization (CBSE Class 11 ICT). 20 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

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Sample questions

  1. Which chart type is best for showing the proportion of different categories within a whole?

    1. Line chart
    2. Bar chart
    3. Pie chart
    4. Scatter plot
    Show answer

    Answer: C. Pie chart

    Pie charts are ideal for visualizing proportions or percentages of a whole.

  2. Which chart would best represent the sales figures of five different products over a year?

    1. Pie chart
    2. Line chart
    3. Bar chart
    4. Scatter plot
    Show answer

    Answer: C. Bar chart

    A bar chart effectively compares the sales of different products.

  3. What is a misleading graph and how can it be created?

    1. A graph that is too small
    2. A graph that is difficult to read
    3. A graph that is intentionally designed to distort the data
    4. A graph that is missing data
    Show answer

    Answer: C. A graph that is intentionally designed to distort the data

    Misleading graphs manipulate the visual representation to misrepresent the data.

  4. How can you choose the appropriate chart type for a given dataset?

    1. Based on personal preference
    2. Based on the type of data and the message you want to convey
    3. Based on the software available
    4. Based on the number of data points
    Show answer

    Answer: B. Based on the type of data and the message you want to convey

    The choice of chart depends on the nature of the data (categorical, numerical, etc.) and the insight you aim to highlight.

  5. Describe how interactive data visualizations can enhance data exploration and analysis.

    1. Interactive visualizations are not helpful
    2. They offer no extra advantage
    3. They allow users to dynamically filter, zoom, and interact with the data to gain deeper insights
    4. Only static visualization are helpful
    Show answer

    Answer: C. They allow users to dynamically filter, zoom, and interact with the data to gain deeper insights

    Interactive features empower users to explore data in more flexible ways.

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