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4. Line graphs enables us to visually represent trends and changes in data points across time.
5. The sns.kdeplot () function sets the background style.

6. In Line chart marker attribute is used to set the size of the marker.
7. A bar graph, sometimes referred to as a horizontal column chart.

8. The sns.set_palette() function in Seaborn is used to change the color theme.
9. Histogram is the simplest method for visualising data distributions.

10. Dimensionality reduction is also known as data cleansing.

SECTION B (Subjective Type Questions)

A. Short answer type questions.
1. What is data visualization?

Ans. Data visualization is the practice of turning numbers and information into visual formats like bar charts,
pie charts, maps, line graphs, and infographics. These visuals help us quickly understand data, spot trends,
and make better decisions.

2. Name some tools commonly used for data visualization.
Ans. Common tools include Microsoft Excel, Google Sheets, Tableau Public, Google Data Studio, Python (with
Matplotlib and Seaborn), Canva, and Piktochart.
3. List the steps to create a chart in Excel.
Ans. The steps to create a chart in Excel are as follows:
Step 1 Enter data in the spreadsheet.

Step 2 Select the range of data that you want to represent visually.
Step 3 Click on the Insert tab on the ribbon.
Step 4 Choose the type of chart you want in the Charts group, such as bar chart, pie chart, line graph,
column chart, scatter plot, etc.
4. What does the savefig() function do in Matplotlib?
Ans. The savefig() function is used to saves the graph to the given address.

5. What does the y-axis of a histogram represent?
Ans. The y-axis of the histogram represents the number count or multiple occurrences in the data for each column.
6. Why is clean data important for data-driven applications?
Ans. Clean data helps in making informed decisions and improves the performance of data-driven applications
such as business intelligence, machine learning, data mining, and statistical analysis.
7. What do you understand by cleaning data in Excel?

Ans. Cleaning data in Excel means carefully reviewing the dataset to correct errors and improve accuracy. This
process includes removing duplicate entries, ensuring consistent formatting, correcting mistakes, handling
or filling in missing values, and transforming the data into a more useful structure if required.

8. What is Tableau?
Ans. Tableau is a powerful data visualization software. Tableau Public, its free version, allows users to build
advanced, interactive dashboards and publish them online for public use.
9. What are graphs, and why are they useful?
Ans. Graphs are visual representations of data. They help us understand trends, patterns, and comparisons
quickly.

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