Chapter 10 :- Editing and Formatting Documents

Chapter :- 10 Editing and Formatting Documents

Selecting Text :- If you want to select only a word, take a cursor anywhere on that word and double click. By triple clicking on any part of the sentence, the current sentence will be selected. The whole document is selected by pressing CTRL + A.

Undoing and Redoing Changes :-

Press CTRL + Z Clicking the Undo icon on the Standard toolbar.

Press CTRL + Y Clicking the Redo icon on the Standard toolbar.

Find and Replace Dialog Box :-

A character which is not found on a standard keyboard is called a Special character

Choose the Correct Option.

1. Which of the following technique selects a sentence in Writer?

(a) Single click (Pressing left button of mouse)

(b) Double Click

(c) Triple Click

(d) None of the above

2.Which of the following is the short cut key to Redo any operation ?

(a) CTRL + R

(b) CTRL + x

(c) CTRL + Y

(d) CTRL + Z

3. To find a word in a document we can use which of the following function key ?

(a) F5 key

(b) F8 key

(d) All of these

4.While creating numbering list we can go up to which of the following level in case of nested list.

(a) 5

(b) 6

(d) 10

5. Spellings are corrected automatically in Writer because of which of the following feature ?

(a) Auto Text

(b) Auto Correct

(d) All of these

6.Which of the following menu is to be used to check spelling?

(a) Edit

(b) Format

(c) Tools

(d) English

11. Write a Java program to input basic salary of an employee and calculate its Gross salary according to following:

11. Write a Java program to input basic salary of an employee and calculate its Gross salary according to following: Basic Salary <= 10000 : HRA = 20%, DA = 80% Basic Salary <= 20000 : HRA = 25%, DA = 90% Basic Salary > 20000 : HRA = 30%, DA = 95% Static Solution :- class salary { public static void main(String args[]) { double basic=20000.50,gross,da,hra; if(basic <=10000) { da = basic * 0.8; hra = basic *0.2; } else if(basic <=20000) { da = basic * 0.9; hra = basic *0.25; } else { da = basic * 0.95; hra = basic * 0.3; } gross = basic + da + hra; System.out.println("The Gross Salary is :-"+gross); } } Output :- Dynamic Solution :- class salary { public static void main(String args[]) { double basic=20000.50,gross,da,hra; Scanner in = new Scanner(System.in); System.out.println("Enter the Basic Salary

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

1. Given the school result data, analyses the performance of the students on #different parameters, e.g subject wise or class wise. Solution :- # x-axis is shows the subject and y -axis # shows the markers in each subject # import pandas and matplotlib import pandas as pd import matplotlib.pyplot as plt # Simple Line Chart with setting of Label of X and Y axis, # title for chart line and color of line subject = ['Physic','Chemistry','Mathematics', 'Biology','Computer'] marks =[80,75,70,78,82] # To draw line in red colour plt.plot(subject,marks,'r',marker ='*') # To Write Title of the Line Chart plt.title('Marks Scored') # To Put Label At Y Axis plt.xlabel('SUBJECT') # To Put Label At X Axis plt.ylabel('MARKS') plt.show() Output :-

24.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.

24.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. import pandas as pd # initialize list of lists data = [['CAR','Maruti',1000000],['AC','Hitachi',55000],['AIRCOLLER','Bajaj',12000], ['WASHING MACHINE','LG',15000],['CAR','Ford',7000000],['AC','SAMSUNG',45000],['AIRCOLLER','Symphony',20000],['WASHING MACHINE','Wirlpool',25000]] Col=['itemcat','itemname','expenditure'] # Create the pandas DataFrame qrtsales = pd.DataFrame(data,columns=Col) # print dataframe. print (qrtsales) qs=qrtsales.groupby('itemcat') print('Result after Filtering Dataframe') print(qs['itemcat','expenditure'].sum()) Output :-

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