Unique Answer onlyBased on the dataset information given above, please answer the following questions. You are required to perform the following tasks using R Studio. Please provide the script and screenshot of the output.Q. If you want to see the 1st Quartile, Median, and 3rd Quartile of DiabetesPedigreeFunction, which plot is suitable to visualize these three pieces of information? Visualize the plot with an appropriate header and label. 3. Table below show sample data obtained from the Diabetes dataset. Calculate the locationand dispersion univariate statistics for the BMI attribute.Pregnancies Glucose Blood Pressure SkinThickness Insulin BMI DiabetesPedigreeFunction Age61487235033.60.6275018566026.60.35131818364023.30.67232189669428.10.16721511674025.60.201303785088310.24826101150035.30.1342910168740380.537341013980027.11.44157160846 30.10.398591892902303200023

Here is the required code in R:# install the mlbench…

Based on the dataset information given above, please answer the following questions. You are required to perform the following tasks using R Studio. Please provide the script and screenshot of the output. Q. If you want to see the 1st Quartile, Median, and 3rd Quartile of DiabetesPedigreeFunction, which plot is suitable to visualize these three pieces of information? Visualize the plot with an appropriate header and label.

Based on the dataset information given above, please answer the following questions. You are required to perform the following tasks using R Studio. Please provide the script and screenshot of the output. Q. If you want to see the 1st Quartile, Median, and 3rd Quartile of DiabetesPedigreeFunction, which plot is suitable to visualize these three pieces of information? Visualize the plot with an appropriate header and label.

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE

1st Edition

ISBN:9780357392676

Author:FREUND, Steven

Publisher:FREUND, Steven

Chapter8: Working With Trendlines, Pivottables, Pivotcharts, And Slicers

Section: Chapter Questions

Problem 10EYW

See similar textbooks

Similar questions

Do a normalization from 1NF to 3NF based on the table below
Perform second normalization based on the table information given.
Normalize the following dataset using min-max. Show your calculation step by step. x below is the name of the feature/attribute. You have to find x'. Unnormalized Dataset x 1500 4000 300 1000
Perform first normalization based on the table information given.
Given the following MySQL table: persons (The Primary key in the first column and it is an automatic number) Table name: wilayats (for Wilayat data) wsq Table name: persons column names are highlighted prid prName prSalary prDoB prGender prWilyatsq wName Person ID Gender Wilayat id Salary Birth date 630 2011-08-03 Muneer Khalid 980 2009-01-25 870 2019-03-14 Name Wilayat ID Wilayat Name Nasser Aziz Nizwa Izki Bahla 200 M 3 300 M 2 Rawan Sami 500 F 3 2. Given also the following HTML form page and its source code that is used to add data to MYSQL database Web Browser Output 1. 2. Name :br> 3. Salary:br> 4. Birth Date: 5. Wilayat: 6. -- Select -- 7. Bahla.. 8. Gender:Male Adding data for a new Person Name: Jamal Obaid Salary: 550 Birth Date: 12/20/2002 Wilayat Bahla Gender: O Male O Female 10. Female 11. Save Data Note the following: • Do NOT write the validation part. Assume that data was input correctly. • Assume that the database connection id is $conn Write PHP code to do the…
Find the number of employees hired in January of all years
Kaggle data set (kukuroo3) (body performance data) Use the above data set Describe the data set Use descriptive statistic Draw a table with attribute of the data set
Apply Normalization A table with the students and their grades in different topics. UnitID | StudentID | Date TutorID | Topic Room | Grade Book 5 U2 U1 U5 U4 St1 St1 St4 St2 St2 23.02.03 Tut1 18.11.02 Tut3 23.02.03 Tut1 05.05.03 Tut3 04.07.03 Tut5 GMT 629 Gln 631 5.1 4.7 GMT 629 4.3 PhF 632 AVQ 621 4.9 5.0 Deumlich Zehnder Deumlich TutEmail tut1@fhbb.ch tut3@fhbb.ch tut1@fhbb.ch Dümmlers tut3@fhbb.ch Swiss Topo tut5@fhbb.ch
A set of 11 data points is given in the attached Excel spreadsheet: PS5_prob1_FD_data.xlsx.Task: Perform numerical differentiation to approximate the second derivative of theprovided data. In doing so, address the following prompts:1. Write your own MATLAB code to perform an appropriate Finite Difference (FD)approximation for the second derivative at each point in the provided data. Note:You are welcome to use the “lowest order” approximation of the second derivative f ′′(x).a) “Read in” the data from the Excel spreadsheet using a built-in MATLAB com-mand, such as xlsread, readmatrix, or readtable – see docs for more info.b) Write your own MATLAB function to generally perform an FD approximationof the second derivative for an (arbitrary) set of n data points. In doing so, usea central difference formulation whenever possible.c) Call your own FD function and apply it to the given data. Report out/displaythe results.2. Reflect on your results by comparing to the exact solution.a) The…
Write a R-code to find mean, median and mode for your own raw data of 15 observations. Give the suitable labels to the findings.
Samples of 42 college students are considered for study and were categorized according to year level. The data set is FreshmenFreshmenFreshmenSophomoreJuniorFreshmenSenior SophomoreSeniorSeniorFreshmenSeniorSophomoreSophomore JuniorSophomoreFreshmenFreshmenSophomoreSophomoreFreshmen SeniorSophomoreSophomoreFreshmenFreshmenJuniorJunior SophomoreJuniorSophomoreJuniorJuniorJuniorFreshmen FreshmenSeniorJuniorFreshmenFreshmenFreshmenSophomore Solution:ClassTallyFrequency (f)Percentage (%) Total Consider the scores of 50 Grade 7 students in Math.2939263520 2226363119 2026352528 2239323219 3732283320 2026353119 2531252220 4031193220 2228333919 2026373119 ScoresfPercentage 40 39 37 36 35 33 32 31 29 28 26 25 22 20 19 Total Solution:
see image