Podcast
Questions and Answers
What is one of the outcomes of the course regarding the use of Python?
What is one of the outcomes of the course regarding the use of Python?
Which practical involves adding ticks, labels, and axes to a plot?
Which practical involves adding ticks, labels, and axes to a plot?
Which of the following types of plots is NOT mentioned in the course outcomes?
Which of the following types of plots is NOT mentioned in the course outcomes?
What customization technique can be applied to graphs to enhance data interpretation?
What customization technique can be applied to graphs to enhance data interpretation?
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Which practical emphasizes the use of the GoogleMap API?
Which practical emphasizes the use of the GoogleMap API?
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Signup and view all the answers
Study Notes
Course Outcomes
- Explain the need for data visualization and the use of Python
- Describe data plotting using graphs and charts
- Create 3D visualizations, animations, and generate captchas
- Analyze data using appropriate graphs and charts
- Apply customization techniques to graphs for better data understanding
- Compare different plotting techniques
Practical Exercises
- Practical 1: Create a histogram and bar plot, customizing it.
- Practical 2: Create a simple plot, adding labels, axes, and ticks.
- Practical 3: Produce strip, box, swarm, and joint plots on the 'Tips' dataset.
- Practical 4: Generate relational, heatmap, and violin plots, using facet_grid on the 'Tips' dataset.
- Practical 5: Add legends and annotations to a graph.
- Practical 6: Create an exploded pie chart and a stack plot.
- Practical 7: Create a timeline on a date-time column from the 'Sample Superstore' dataset.
- Practical 8: Generate a 3D bar chart for sample data.
- Practical 9: Demonstrate Matplotlib and Plotly animations, including bar race charts and bubble charts.
- Practical 10: Add annotations to charts using images and text.
- Practical 11: Plot data on a map using the Google Maps API and create a simple captcha generator.
- Practical 12: Use the Plotly library to create waterfall and Gantt charts.
Total Lectures
- 20
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Description
This quiz explores key concepts in data visualization using Python, including creating various types of plots and customizing them for better data understanding. You will also work with practical exercises like generating histograms, heatmaps, and 3D visualizations. Assess your grasp on different plotting techniques and their applications.
