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Tell the commands for python jupyter pandas manipulation required for these operations.
1* Import required module for reading file
2* Read the file
3* show info of all dataset
4* show description of all dataset
5* show first 12 rows in dataset
6* show last 7 rows in dataset
7* check the shape of dataset
8* show the total columns in dataset
9* find the length of columns in dataset
10* find the missing values in dataset
11* drop the missing valuses and save your dataset
12* again find the shape of your dataset
13* find the type of columns name " Size "
14* remove M from columns size
15* order the data with respect to columns size
16* find the data from app colums whose name is BOX
17* find the sum of data from app colums whose name is BOX
18* find the unique Genres in Genres columns
19* filter the data whose Genres is business and save the data
20* find the total free app in dataset
21* filter the data whose rating is more the 4.2
22* convert the review columns into float datatype and sort the columns
23* find the unique values in Type columns
24* seprate the free app in dataset¶
25* seprate the paid app in dataset
26* save the data filter in question 24 into new excel file
27* find the shape of both seprate dataset in question 24,25
28* apply for loop in Category columns and append the data in new list whose Category is SOCIAL,GAME
29* Give example of dictionary and how we can add new value in dictionary give exaple with code
30* how to remove the last index from list , give example with code
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- Using the MATLAB editor, create a script m-file which includes a header block and comments: Create a matrix which holds values of: y=a^x where a is a column array A have values in the range 1-5 with 0.5 increments x is a row array X having integer values 1-5 Display the matrix results Save the script and publish function to create a pdf file from the script in a file named "ECE105_Wk2_L1_Prep_2"arrow_forwardUsing the MATLAB editor, create a script m-file which includes a header block and comments:Create a matrix which holds values of: y = a^x where a is a column array A having the values 1-5 in 0.5 increments x is a row array X having integer values 1-5 Display a message explaining the results which will be displayed.Display the 5th row of the matrix. Save the script and publish function to create a pdf file from the script in a file named "ECE105_Wk2_L2_Prep_2".arrow_forwardIn python don't import librariesarrow_forward
- I need to merge three datasets so that I can create a custom function that would do the following: Create a function called theme_by_year that takes as input a year (as an integer) and shows the theme ids and theme names (listed in order by theme id) that were in sets that year. The column names must be id and name_themes (to differentiate between the name of a theme and the name of a set) in that order. The index should be reset and go from 0 to n-1. Each theme should only be listed once even if it appeared in more than one set from that year -- duplicate themes should be based on theme id and not name since there are some themes with the same name but with a different id. Hint: It will help if you were to think about merging appropriate DataFrames to help you get this answer. The desired output should look like this: theme_by_year(1960) Output: id name_themes0 371 Supplemental1 497 Books2 513 Classic Here's what I tried, but I did not get the desired output:arrow_forwardHow do I create a function in Python Mongo DB that asks a user if the want to insert, update, or delete information (name & street_address) in my collection and excute the actions?arrow_forwardSuppose you have the following information: Name ID GPA sami 102 90 sara 550 66 A. Define a CLIPS template "student" to represent the elements name, id, gpa. B. Add the two records to the database. Your answerarrow_forward
- Write SAS code for the following task: 1) Read in the excel file "Data.xlsx" to create a temporary SAS dataset 2) Based on the DOB column, create a new column called Age 3) Based on Admission Date and LengthOfStay, create a new column called DischargeDate 4) Based on BaseCharge and DiscountRate, create a new column called DiscountAmount 5) Based on DiscountAmount and BaseCharge, create a new column called TotalCharge 6) Remove the LengthOfStay and DiscountRate columns and ensure all columns, including the original and new, are in the correct format to represent the data, i.e., date, money 7) Checking the data type and displaying the final data table with PROC CONTENTS and PROC PRINT 8) The final dataset should be exported as a csv file named "Output Data.csv"arrow_forwardPYTHON / DATA ORGANIZATION Import the following reaction mechanism for syngas production from the course repository data/syngas-short-rxn.txt, keep the order of the reactions the same, and display the reactions.The reaction mechanism is given below kindly write code assuming its to be extracted. # Corrected ChatGPT## Pyrolysis (Destruction of Feedstock):C(s) -> C(g)# Primary Oxidation (Partial Combustion):2 C(g) + O2 -> 2 CO# Secondary Oxidation (Complete Combustion):CO + 0.5 O2 -> CO2# Methanation:C(g) + H2O -> CO + H2# Shift Methane Reaction (Methane Decomposition):CH4 <=> C(g) + 2 H2arrow_forward
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