Highlights
Task: Statistical Analysis of Big Data
Take any dataset as you like and answer the perform the following statistical analysis on that data
1. Extract Data from any Bigdata source and create a dataset
2. What Are the Key Properties of a Dataset?
a. What is the Center of the Data?
b. How Much Spread Is There in the Data? Calculate, Variance, Standard deviation, Quartiles, Interquartile range (IQR)
c. Is Data Skewed? If yes present results?
d. What Distribution Does the Data Follow?
e. Are the attributes in the Dataset Uncorrelated?
f. The correlation among the elements in the dataset
g. Does the Center of the Dataset Change Over Time?
h. Does the Spread of the Dataset Change Over Time?
i. Are There Outliers in the Data?
j. Whether or not the parameters of the data are constant over time
k. The presence of outliers in the data
3. Implement the results of the above questions (a to k) using R/Python and present the results in the form of graphs.
4. Identify the most suitable model for your data
5. Build a data analysis model.
This Data Analytics Assignment has been solved by our Data Analytics experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our experts are well trained to follow all marking rubrics & referencing style.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.
© Copyright 2026 My Uni Papers – Student Hustle Made Hassle Free. All rights reserved.