Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
3rd Edition
ISBN: 9781118729274
Author: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Publisher: WILEY
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Use the R data set “anscombe” and answer the following questions.
a. Save a subset of all the columns of the data except x4 and y4. Use this subset for the rest of the questions below.
b. Add two new columns to the subset from (a) above as follows.
i. Directly (i.e. do not use cbind() function) add a column of random values from a normal distribution with mean of 100 and standard deviation of 5. Use set.seed(1) in the previous line for reproducibility.
ii. Using the cbind() function add a column consisting of the following as the data: 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0.
c. Remove column y3.
d. Using subset function remove columns x2, y1 and y2
e. Add the following two new rows to the data frame using the appropriate bind function
Change the data type of the new column from (b) (i) to integer and that from (b)(ii) to binary.
g. Change the names of the first two columns to 'q1x1' and 'q1x3'.
Tables: 1. Brands (sample csv enclosed) a. Brand ID b. Brand Name c. Holding Company ID d. Holding Company Name 2. Store Order Items (sample csv enclosed) a. Order ID b. User ID c. Product ID d. Brand ID e. Unit Price f. Quantity g. Date (of sale) h. Store ID (of sale)
2. For each Product (ID), determine the “store of sale” that made the first sale of the product in 2019.
Written in Sql
Write an order to generate binomial data with the number of observations (n) being 50, the number of trials (size) being 5 and the probability of success being 0.5, then storing the results in the binomial data matrix, with the number of columns being 5.
Chapter 4 Solutions
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
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- Give an example of when you would want to analyze the mean of a dataset.arrow_forwardMatLab Load the data flu.mat (you can do this by typing load flu in your script). This data is the flu trends seen in the United States 2005-2006, divided by region. We will use regressions to look at the data during flu season in the Pacific region. Create your x data: have x equal to 1:30. These represent 30 weeks between Oct. 2005 and May 2006. Create your y data: have y equal to flu.Pac(1:30)’. This is the flu trend for each week. Make sure you have an apostrophe after the last parenthesis. Fit the data below with a straight line and with a 2nd order polynomial. Use least-squares regression. Calculate the coefficient of determination (r^2) and the correlation coefficient (r) for each regression. Plot the two regression curves against the data. Which regression is better? Is there a polynomial you think would work better? Describe the data – what does it mean to you?arrow_forwardCan you explain the Dataset object in detail?arrow_forward
- Use Python Code Your task is : Visualization of confirmed cases of COVID-19 by country . (Use pandas to read the data table csv. Example df = pd.read_csv('COVID19.csv' ) then make a visualization using that csv table) Province/State Country Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0…arrow_forwardUsing the data frame juul from the package ISwR in R studio 1) Plot histograms of insulin-like growth factor for each sex. Plot the histograms under one-another in a single column. Do not include NAs.arrow_forwardExplain the Clark-Wilson Model Edit View Insert Format Tools Table 12pt v Paragraph v BI U ...arrow_forward
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