12th IP Practical list 2024-25

 

Data Handling​

1. Create a panda’s series from a dictionary of values and a ndarray: Click here (Reference video: Click Here)

 

2. Given a Series, print all the elements that are above the 75th percentile. Click here (Reference video Click Here)

 

3. Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the category and print the total expenditure per category.Click here  (Reference video: Click Here )

 

4. Create a data frame for examination result and display row labels, column labels data types of each column and the dimensions. Click Here

 

5. Filter out rows based on different criteria such as duplicate rows. click Here (Reference video: Click Here)

 

6. Importing and exporting data between pandas and CSV file.Click Here

7. Find the sum of each column with Lowest mean Click here (Reference Video: click here)

8. Locate the 3 largest values in a dataframe click Here (Reference video: click here)

9. Subtract the mean of row from each element of the row in a DataFrame: Click here (Reference video: click here)

10. Replace all negative values in a DataFrame with a 0. click here (Reference video: click here)

11. Replace all missing values in a DataFrame with a 999. Click Here  (Reference video:  click here)

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5.2 Visualization

1. Given the school result data, analyses the performance of the students on different parameters, e.g subject wise or class wise. Click Here

2. For the Data frames created above, analyze, and plot appropriate charts with title and legend.

3. Take data of your interest from an open source (e.g. data.gov.in), aggregate and summarize it. Then plot it using different plotting functions of the Matplotlib library. Click Here

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5.3 Data Management

\c;

create database urname;

use urname;

1. Create a student table with the student id, name, and marks as attributes where the student id is the primary key.

2. Insert the details of a new student in the above table.

3. Delete the details of a student in the above table.

4. Use the select command to get the details of the students with marks more than 80.

5. Find the min, max, sum, and average of the marks in a student marks table.

6. Create a customer table with the customer ID, customer Name and country as attributes.

7. Insert the details of a new customer in the above table.

8. Find the total number of customers from each country in the table (customer ID, customer Name, country) using group by.

9. Write a SQL query to order the (student ID, marks) table in descending order of the marks.

10. SQL Queries:-1 .ONE TABLE Click Here 

11. SQL Queries:-2 – TWO TABLES. Click Here  

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