Informatics Practices (Code No.065)
CLASS
XII
Session
2023-24
Distribution of Marks and Periods:
Unit No |
Unit Name |
Marks |
Periods Theory |
Periods Practical |
Total Period |
1 |
Data Handling using Pandas
and Data Visualization
|
25 |
25 |
25 |
50 |
2 |
Database Query using SQL
|
25 |
20 |
17 |
37 |
3 |
Introduction to Computer
Networks
|
10 |
12 |
0 |
12 |
4 |
Societal Impacts
|
10 |
14 |
- |
14 |
|
Project |
- |
- |
7 |
7 |
|
Practical |
30 |
- |
- |
- |
|
Total |
100 |
71 |
49 |
120 |
Unit Wise syllabus
Unit 1: Data Handling
using Pandas –I
Introduction to Python libraries- Pandas, Matplotlib. Data
structures in Pandas - Series and Data Frames.
Series:
Creation of Series from – ndarray, dictionary, scalar value; mathematical
operations; Head and Tail functions; Selection, Indexing and Slicing.
Data Frames:
creation - from dictionary of Series, list of dictionaries, Text/CSV files;
display; iteration; Operations on rows and columns: add, select, delete,
rename; Head and Tail functions; Indexing using Labels, Boolean Indexing;
Importing/Exporting
Data between CSV files and Data Frames.
Data
Visualization
Purpose of
plotting; drawing and saving following types of plots using Matplotlib – line
plot, bar graph, histogram
Customizing
plots: adding label, title, and legend in plots.
Unit 2:
Database Query using SQL
Revision of database concepts and SQL commands covered in
class XI
Math functions: POWER (), ROUND (), MOD ().
Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID
()/SUBSTRING ()/SUBSTR (),
Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (),
YEAR (), DAY (), DAYNAME ().
Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT
(); using COUNT (*).
Querying and manipulating data using Group by, Having, Order
by.
Working with two tables using equi-join
Unit 3: Introduction to Computer Networks
Introduction to networks, Types of network: PAN, LAN, MAN,
WAN.
Network Devices: modem, hub, switch, repeater, router,
gateway
Network Topologies: Star, Bus, Tree, Mesh.
Introduction
to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP. Website:
Introduction, difference between a website and webpage, static vs dynamic web
page, web server and hosting of a website.
Web Browsers: Introduction, commonly used browsers, browser
settings, add-ons and plug-ins, cookies.
Unit 4: Societal Impacts
Digital footprint, net and communication etiquettes, data
protection, intellectual property rights (IPR), plagiarism, licensing and
copyright, free and open source software (FOSS), cybercrime and cyber laws,
hacking, phishing, cyber bullying, overview of Indian IT Act.
E-waste: hazards and management.
Awareness about health concerns related to the usage of
technology.
Project Work
The aim of the class project is to create tangible and
useful IT application. The learner may identify a real-world problem by
exploring the environment. e.g. Students can visit shops/business places,
communities or other organizations in their localities and enquire about the
functioning of the organization, and how data are generated, stored, and
managed.
The learner can take data stored in csv or database file and
analyze using Python libraries and generate appropriate charts to visualize.
Learners can use Python libraries of their choice to develop
software for their school or any other social good.
Learners should be sensitized to avoid plagiarism and
violation of copyright issues while working on projects. Teachers should take
necessary measures for this. Any resources (data, image etc.) used in the
project must be suitably referenced.
The project can be done individually or in groups of 2 to 3
students. The project should be started by students at least 6 months before
the submission deadline.
Practical
Marks Distribution
S.No. |
Unit Name |
Marks |
1 |
Programs
using Pandas and Matplotlib
|
8 |
2 |
SQL
Queries
|
7 |
3 |
Practical
file (minimum of 15 programs based on Pandas, 4 based on Matplotlib and 15
SQL queries must be included)
|
5 |
4 |
Project
Work (using concepts learned in class XI and XII)
|
5 |
4 |
Viva-Voce
|
5 |
|
Total |
30 |
5. Suggested Practical List
5.1 Data Handling
1. Create a panda’s series from a dictionary of values and a
ndarray
2. Given a Series, print all the elements that are above the 75th
percentile.
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.
4. Create a data frame for examination result and display row
labels, column labels data types of each column and the dimensions
5. Filter out rows based on different criteria such as duplicate
rows.
6. Importing and exporting data between pandas and CSV file
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.
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.
5.3 Data Management
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. Find the total number of customers from each country in the table (customer ID, customer Name, country) using group by.
7. Write a SQL query to order the (student ID, marks) table
in descending order of the marks.
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