4questions, there are 3 questions is to about shiny app.instructionsCreate three Apps in the appropriate folders in the homework repo in accordance with the instructions below.1 Create a Shiny app based on the mpg dataset from the ggplot2 package.2 Create a Shiny app based on the mtcars data set.3 Housing Sales App3.1 Build a Shiny App with the following attributes:3.2 Tab 2 Extra CreditAnd a extra questionquestions:1 .Create a Shiny app based on the mpg dataset from the ggplot2 package.Allow a user to select three variables from the dataset.The app should output a scatterplot of two of the variables and color code the points by the third variable.Make the default variables the ones in the image below.3.Researchers were interested in predicting residential home sales prices in a Midwestern city as a function of various characteristics of the home and surrounding property. Data on 522 transactions were obtained for home sales during the year 2002. The 13 variables are:Price: Sales price of residence (in dollars)Area: Finished area of residence (in square feet)Bed: Total number of bedrooms in residenceBath: Total number of bathrooms in residenceAC: 1 = presence of air conditioning, 0 = absence of air conditioningGarage: Number of cars that a garage will holdPool: 1 = presence of a pool, 0 = absence of a poolYear: Year property was originally constructedQuality: Index for quality of construction. High, Medium, or Low.Style: Categorical variable indicating architectural styleLot: Lot size (in square feet)Highway: 1 = highway adjacent, 0 = highway not adjacent.We’ve seen these data a few times before.3.1 Build a Shiny App with the following attributes:Three tabs. The first tab is for univariate analysis. The second tab is for bivariate analysis. The third tab is for a spreadsheet of the numeric variables in the data.The inputs/outputs for the univariate analysis should be:The variable of interest.Do the analysis on the log scale or not?The number of bins in the histogram.The null value for a one-sample t-test.Output the results of the one-sample t-test. The results of the test should be done on the log or non-log scale according to the user options.Output a histogram if the variable is numeric and a barplot otherwise.The inputs/outputs for the bivariate analysis should be:The two variables of interest.Whether to log each variable. Only numeric variables should be logged.Whether to add an OLS line.Output a scatter plot if both variables are numeric, a boxplot if one is numeric and one is categorical, and a jitter plot if both are categorical.The spreadsheet tab should contain a Data Table with only the numeric variables. Use a map*() function to select these.Try to make your Shiny app as visually similar to my app as you can.Hint: You can make this a lot easier by taking advantage of the modularity built into ggplot2:Hint: I found it easier to use geom_boxploth() from the ggstance library instead of using coord_flip().Hint: Think carefully about which variables should be treated as categorical and which should be treated as quantitative. Transform as appropriate when you load the data.

Assignment Instructions: Topic: This week's Forum topic is Cybersecurity Objectives.Instructions: Research the design basis threat (DBT) in terms of Cybersecurity for an organization of your choice. Discuss what the Cybersecurity objectives should be for that organization and what those objectives should address? minimum of 250 words, apa style.

Need help with spark programming assignment. need some one who can write the code in google Collab and share the File as well as need a document which has the code and output screenshots with explanation. Please refer the assignment document for more understanding.