Find
Search for over 200,000 study notes and past assignments!
Swap
Download study resources by swapping your own or buying Exchange Credits.
Study
Study from your library anywhere, anytime.
Assignment 1 Data Mining, Analytics and Visualisation with EXCEL
ETF1100 - Business Statistics
1 Found helpful • 11 Pages • Essays / Projects • Year: Pre-2021
Got HD for assignment 1 QUESTION ONE: (Total: 19.5 marks) Open the Excel data file called VodaTel_Churn.xlsx which you will find in the ASSIGNMENTS section on Moodle. Use this data file to answer the following questions: (a) From the topic “Data and Variable Classifications” covered in the Lecture One, examples of how data can be categorised according to the timing of its collection or observation were provided. Using the criteria listed on Slide 25 of Lecture One, identify which category the VodaTel data is. State your answer and provide justification. (3 marks)
This document is 10 Exchange Credits
More about this document:
|
This document has been hand checkedEvery document on Thinkswap has been carefully hand checked to make sure it's correctly described and categorised. No more browsing through piles of irrelevant study resources. |
|
This is an Essay / ProjectEssays / Projects are typically greater than 5 pages in length and are assessments that have been previously submitted by a student for academic grading. |
|
What are Exchange Credits?Exchange Credits represent the worth of each document on Thinkswap. In exchange for uploading documents you will receive Exchange Credits. These credits can then be used to download other documents for free. |
|
Satisfaction GuaranteeWe want you to be satisfied with your learning, that’s why all documents on Thinkswap are covered by our Satisfaction Guarantee. If a document is not of an acceptable quality or the document was incorrectly described or categorised, we will provide a full refund of Exchange Credits so that you can get another document. For more information please read Thinkswap's Satisfaction Guarantee. |
Studying with Academic Integrity
Studying from past student work is an amazing way to learn and research, however you must always act with academic integrity.
This document is the prior work of another student. Thinkswap has partnered with Turnitin to ensure students cannot copy directly from our resources. Understand how to responsibly use this work by visiting ‘Using Thinkswap resources correctly’.