Plotting Data Using Matplotlib Full Chapter Explanation | Class 11 Informatics Practices Ch 4

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✅ In this video,

✔️ Class: 11th
✔️ Subject: Informatics Practices (Subject Code 065)
✔️ Chapter: Plotting Data Using Matplotlib
✔️ Topic Name: Plotting Data Using Matplotlib Full Chapter Explanation (Part 2)
✔️ Topics Covered in This Video: This video provides students a comprehensive Explanation of the Chapter Plotting Data Using Matplotlib Full Chapter Explanation Class 11 Informatics Practices chapter Plotting Data Using Matplotlib. Get ahead of the curve and ace your examinations with the best study material provided by the experts. Get ready to get the most out of your curriculum and improve your grades.
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00:00 Introduction: Plotting Data Using Matplotlib
00:10 Contents
16:43 Plotting Using Matplotlib
01:07:55 Different Types of Charts
01:13:27 Syntax for plot() function
01:26:39 Changing Line Color
01:35:40 Marker Types of Plotting
01:49:50 Bar Charts
01:52:23 Creating a bar chart (Vertical)
02:10:55 Changing Color of Bars
02:24:23 labels-Labels of slices of pie
02:26:44 autopct- Adding formatted slice percentages to pie
02:29:50 colors-Changing colors of the slices
02:32:14 explode - Exploding a Slice
02:35:19 Histogram Chart
02:51:55 Bins
02:56:07 histtype- Adding formatted
03:06:13 Creating boxplots with boxplot() of Pyplot
03:52:10 The Pandas Plot function (Pandas Visualisation)
04:02:30 Plotting a Line Chart
04:04:58 Consider an Example
04:09:46 Customising Line Plot
04:12:34 Plotting Bar Chart
04:16:35 Customising Bar Chart
04:18:49 Scatter Chart
04:26:15 Plotting Pie Chart'
04:37:10 Plotting Histogram
04:43:19 Customising Histogram
04:46:13 Using Open DATA
04:54:46 Plotting Quartiles and Box plot
05:02:15 Customising Box plot
05:04:13 Question 1 to 10: Exercise: Plotting Data Using Matplotlib
1. What is the purpose of the Matplotlib library?
05:23:29 Question 11 to 20: Exercise: Plotting Data Using Matplotlib
11. Collect data about colleges in Delhi University or any other university of your choice and number of courses they run for Science, Commerce and Humanities, store it in a CSV file and present it using a bar plot.
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