Class 9 AI Chapter - Data Literacy Topic - Tableau

 

Class 9 Artificial Intelligence Code 417 Solutions
Session 2025 - 26

Artificial Intelligence class 9 code 417 NCERT Section - A and Section B solutions PDF and Question Answer are provided and class 9 AI book code 417 solutions. Class 9 AI Syllabus. Class 9 AI Book. First go through Artificial Intelligence (code 417 class 9 with solutions) and then solve MCQs and Sample Papers, information technology code 417 class 9 solutions pdf is the vocational subject.

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Chapter - Data Literacy 
Other Topics

• Data Pyramid
• Data Security & Privacy
• Data Acquisition 
• Data Interpretation 
• Data Tableau  

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Type of Data Interpretation
🔹 1. Textual Data Interpretation 

1. Definition: Data is explained in words or sentences.
2. Nature: Usually descriptive, easy to understand in small amounts.
3. Advantages:
   
   • Simple for short data.
   • Easy for reports, summaries.
4. Disadvantages:
   
   • Becomes confusing if data is large.
   • Hard to compare quickly.
5. Example:
   “In 2024, the school had 500 students, out of which 280 were boys and 220 were girls. The pass percentage was 92%.”

   

   Type of Data
   
   

🔹 2. Tabular Data Interpretation 

1. Definition: Data is presented in rows and columns (table form).
2. Nature: Organized and structured.
3. Advantages:
   
   • Easy to compare values.
   • Handles large data effectively.
4. Disadvantages:
   
   • Can look complex if too much data.
   Example: 

Year	Boys	Girls	Total	Pass %
2022	250	200	450	90%
2023	260	210	470	91%
2024	280	220	500	92%

🔹 3. Graphical Data Interpretation

1. Definition: Data shown in visual form (charts, diagrams, graphs).
2. Nature: Best for understanding patterns, trends, and comparisons quickly.
3. Advantages:
   
   • Easy to grasp at a glance.
   • Makes trends visible.
   • Suitable for presentations.
4. Disadvantages:
   
   • Needs correct scaling, otherwise misleading.
5. Examples of Graphs:
   
   • Bar Graphs → comparing categories (Boys vs Girls).
   • Line Graphs → showing trends (pass % over years).
   • Pie Charts → showing proportions (boys vs girls in total students).
     
     

✨ Summary Table

Type	How Data is Shown	Best For	Example
Textual	Sentences, paragraphs	Small/simple data	“500 students, 92% pass”
Tabular	Rows & Columns	Organized large data	Student data table
Graphical	Charts/Diagrams	Trends & comparisons	Line chart of pass %

👉 So in short:

1. Textual = words,
2. Tabular = tables,
3. Graphical = charts/diagrams.

Tableau
🔹 1. What is Tableau?

1. Tableau is a data visualization and business intelligence (BI) tool used to analyze data and create interactive dashboards, charts, and reports.
2. It helps users understand patterns, trends, and insights from raw data.
3. Used by data analysts, business professionals, and researchers.

👉 Key Point: Tableau is popular because it is easy to use (drag-and-drop) and produces interactive visuals quickly.

🔹 2. Steps to Download Tableau

1. Go to the official Tableau website: https://www.tableau.com

2. Click on Products → Tableau Desktop.

3. Choose Try Now (for free trial) or download Tableau Public (free version).

4. Create a free Tableau account if required.

5. Download the installer for Windows or Mac.

6. Run the installer → follow on-screen instructions.

7. After installation, sign in with your Tableau account.
   
   

🔹 3. Creating a Bar Graph in Tableau

1. Open Tableau Desktop / Tableau Public.

2. Connect to a dataset (Excel, CSV, SQL, etc.).

3. Drag a dimension (e.g., Category, City) to the Columns shelf.

4. Drag a measure (e.g., Sales, Profit) to the Rows shelf.

5. Tableau automatically creates a bar chart.
   
   

🔹 4. Changing Color of the Graph

1. In the Marks card, click on Color.

2. Select a new color palette (e.g., blue, red, gradient).

3. You can also assign colors to categories for clarity.
   
   

🔹 5. Changing Label of the Graph

1. Go to the Marks card → Label.

2. Drag the measure (e.g., Sales) to Label to show values on bars.

3. Double-click on labels to edit font, size, alignment.

4. You can also rename axes → right-click axis → Edit Axis.
   
   

🔹 6. Duplicating a Chart

1. Right-click on the worksheet tab (bottom of Tableau).

2. Select Duplicate Sheet.

3. A copy of the chart will appear (you can modify without affecting the original).
   
   

🔹 7. Saving and Sharing a Workbook

1. To Save:
   
   • Tableau Desktop: File → Save / Save As → choose .twb (small, metadata only) or .twbx (packaged workbook with data).
   • Tableau Public: File → Save to Tableau Public (requires login).
2. To Share:
   
   • Share the .twbx file (anyone with Tableau can open it).
   • Or publish to Tableau Server / Tableau Public → share link.
   • Or export as PDF, Image, or PowerPoint.

✅ So, in short:

1. Tableau = BI & visualization tool.
2. Download → Install → Connect data.
3. Bar graph → Drag dimension + measure.
4. Customize → Change colors, labels.
5. Duplicate → Duplicate sheet.
6. Save & Share → .twbx, PDF, or Public link.