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| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF COMPUTER APPLICATIONS (MCA) |
| SEMESTER | I |
| COURSE CODE & NAME | DCA6112 DATA VISUALIZATION |
Assignment Set – 1
Q.1. Define data visualization and explain its key role in data analysis. List and explain the main advantages of using data visualization techniques. (3+3+4 = 10 Marks)
Ans 1.
Definition of Data Visualization
Data visualization is the visual depiction of information or data that uses visual elements such as graphs, charts, maps as well as dashboards. The process converts raw numerical or categorical data into a visual format that the human brain is able to comprehend quickly. Instead of having to read through the columns and rows of a spreadsheet, a viewer can comprehend patterns, trends as well as outliers in just a couple of minutes by looking at a well-designed chart. Instruments like Tableau and power BI
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Q.2. What is a Gantt chart? Describe the step-by-step process for creating a Gantt chart in Microsoft Excel and discuss its main importance in project management. (2+4+4 = 10 Marks)
Ans 2.
What is a Gantt Chart
The Gantt chart is horizontal bar chart that represents a project schedule over period of. Each line in the graph represents a specific task or activity it’s length indicates the duration of that task. The horizontal axis is for the duration of time, while the vertical axis displays all jobs. Gantt charts provide a visual
Q.3. What is a scatter chart in Excel? Discuss its main purposes, different types of it. Also explain key customization options that improve its use in data visualization. (2+4+4 = 10 Marks)
Ans 3.
What is a Scatter Chart in Excel
A scatter chart, often called a “scatter plot” or”XY chart,” is a graph which displays data points arranged along two axes. The horizontal axis (X) symbolizes one factor, and the vertical axis (Y) represents an additional. Each line of the chart corresponds to one recorded observation or dataset. Scatter charts are used to study the relationship between two numbers. Microsoft Excel provides a built-in
Assignment Set – 2
Q.4. Explain the importance of correlation analysis in statistics. Show how correlation matrices help in exploring multiple variables, with examples. (5+5 = 10 Marks)
Ans. 4.
Importance of Correlation Analysis in Statistics
Correlation analysis is a statistical technique used to measure the force and direction an association among two or more factors. The correlation coefficient, typically denoted as r, ranges from -1 to +1. A value close to +1 signifies a high degree of positive association in which both variables rise together. A value close to -1 indicates a significant negative relationship, where one variable grows
Q.5. List the main problems caused by missing data in datasets and compare common methods used to fill in the missing values. (5+5 = 10 Marks)
Ans. 5.
Main Problems Caused by Missing Data in Datasets
Incomplete data is one of the most common and destructive issues that arise when it comes to research and analysis. If data is missing from a dataset, the quality as well as the reliability of all analysis can be compromised. Problems caused by the absence of data can be classified into several
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Q.6. Describe the main steps to build an interactive dashboard using Dash and Plotly. Point out the key parts and features that make it interactive. (5+5 = 10 Marks)
Ans. 6.
Building an Interactive Dashboard Using Dash and Plotly
Dash is an open source Python framework created by Plotly that allows developers to build interactive, web-based data dashboards without needing any front-end web development knowledge. It runs on top of Flask and utilizes React.js internally for rendering. Plotly is an graphing tool that works seamlessly together with Dash to build vibrant, interactive graphs. Together, they are among the top tools available for building data visualization applications within