his question tests your understanding of data transformation.  We did an assignment on this process.  If you test your data and find that it is not suitable for testing, which mathematical function can you put each score through to make it usable and suitable for testing? Select one: a. There is no way to make the data usable. b. square root each number c.

Do an analysis of a real data set and also mention where did you find the data set. Please do analysis completely in R studio. A basic requirement for the data set is that it includes one response variable and at least two predictor variables.The main objectives of this question are• to identify a suitable data set,• to come up with meaningful research questions based on the data,• to experience some of the problems encountered when analyzing real data,Also mention:• Where I find the data set?• Why the problem is of interest?• Which method or model is appropriate to this problem?• How do I apply the method to analysis the data set?• What is my conclusion?

For my homework in data science, I am trying to  design a variable which shows the percentage of available bikes (all kinds) in comparison to the capacity of bikes in each station. And then use this variable to control the size of the data point (dot) in the scatterplot to visualize the current availability of each station. Following that I need to create a way to in Python that can help me locate in latitude and longitude, the nearest station with an available bike  from a given location. https://drive.google.com/file/d/1lwUpnIlwmhm9u8ut4f95fil53aastqgt/view?usp=sharing https://drive.google.com/file/d/1aquX82rTCzK7P9DSSzTDHkJtnTOg9YFA/view?usp=sharing

you will learn how to manually classify and cluster data based on a specific variable using R programming language. consists of retrieving data, classifying, plot a graph and interpretation of the outcomes. The dataset that are going to be used in this project is “mtcar” that is available in R studio. Methodology: Using the number of cylinders (cyl column) in mtcar dataset(below), classify cars as 4-, 6- or 8-cylinders car. For each class, give a color to the values that belong to that class. Then plot a graph for using “mpg” column as x-axis and “qsec” column as y-axis.   Steps: Read the file using R programming language. Read values in column “cyl”. If x =8, then paint as red, if x =6, then paint as green, If x =4, then paint as blue. Plot the values of the columns mpg and qsec into an x&y graph. Plot painted values of “cyl” on the same graph. Finally, you have to add your interpretations of the results. This is very important!

Task 4: Given the data set with two dimensions X and Y: Calculate every step and not using libraries X Y HE 1435 4232 Use a linear regression method to calculate the parameters a and ß where y = a + Bx. (Show every step and not using libraries)

Is this statement true? When outliers are important then it is important not to change the current minimum and maximum for normalization. False True

How could you distinguish a problem with a balance from a user technique issue using the collected statistics?

Of the variables you have studied so far, which type nonnumerical data? yields OA. Qualitative B. Quantitative discrete C. Quantitative continuous D. None of the above

Could you elaborate on what you mean by "data pruning"?

Software randomization—how? Resize or shift rand function values?