Data Visualization (4 Marks Questions)

1. Write a program that will draw the following figure:
   
   
2. Create a Horizontal Bar chart for:
   

   City	Population
   Delhi	10000000
   Mumbai	30000000
   Kolkata	15000000
   Bangalore	20000000

   • Display the names of X and Y axis
   • Display Graph Name


3. Write a python program to create a pie chart for the population of following states:

   State	Population (in Cr)
   West Bengal	10
   Maharashtra	12
   Utter Pradesh	20
   Madhya Pradesh	8

   
   Pie chart should display:
   
   • Name of each state
   • Percentage in the form (xx.yy%)
   • Pop up the West Bengal state
   • Add legend in the Pie Chart


4. Solve the below Questions ((a)-> 2 Marks, (b),(c) -> 1 Marks)
   
   • (a) Draw the plot for the following code:

     x=np.arange(0,50,1)
     plt.plot(x,x)
     plt.show()
     

   • (b) Write the command to add “X-axis”,”Y-axis” to respectively on X and Y axis.
   • (c) Write Command to add name for the Plot.


5. Write a python program to draw a bar chart with the following information:

   City	pollution
   Kolkata	78
   Delhi	91
   Kanpur	88
   Patna	90
   Banglore	82

• a) X-axis label should be City and Y-axis label should be Pollution
• b) The title of the chart should be Pollution Index
• c) The colour of the bars should be Red
Use proper import statements in the program.


6. Write a python program to draw a histogram with following information:
   10 15 10 10 10 15 20 20 20 20 20 25 25
   The histogram should have following information
• a) X-axis label should be score and Y-axis should be Frequency
• b) The title should be Frequency of Score
• c) The colour of histogram should be blue with 10 bins
Use proper import statements in the program

7. Write commands to plot the chart as per given instructions:
• Plot the same line in red color dashed line with line width = 3
• Mention label on x axis as “x in range -50 to 50”, y axis as “y=x+5” and the title of the plot as “mytitle”.
8. Consider data frame as shown below.

   Category	1995	2000	2005
   A	52	148	230
   B	66	136	283
   C	78	176	236
   D	94	122	315
   E	104	154	286

• Create a histogram using this data frame.
• A scatter chart from 1995 and 2005 columns of dataframe.