Category: Data science
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SS290M1-1: Identify the concept of data literacy. Two truths and a lie? It can b
SS290M1-1: Identify the concept of data literacy. Two truths and a lie? It can be difficult to see at first glance to judge whether the information you find on the internet is valid and useful. Some may appear visually appealing and well-written but have a poor factual basis for the argument or even a lack of…
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Your client, a bakery, hired you to create a pie chart based on pie-preferences
Your client, a bakery, hired you to create a pie chart based on pie-preferences of customers served on Pi day (3/14 2. As a consultant, you also work with a leadership training institute and are curious about your trainees’ favorite leadership book create a word document and paste both images according to APA formatting (include…
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This is a visualisation report of 20 pages. Usage of different visualisation te
This is a visualisation report of 20 pages. Usage of different visualisation techniques must be used detailedly and correctly. Create analytics and statistical patterns in Excel and import them into Tableau Use the dataset to create visualisations that analyse All Main categories. Lot of detailed graphs must be made. Check marking scheme to get me…
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Using SQL, create a database that tracks the inventory of books. You must have t
Using SQL, create a database that tracks the inventory of books. You must have the following tables: BOOKS, AUTHORS, PUBLISHERS, GENRE, and BOOK_TYPE. The BOOKS table must have the following attributes: ISBN, TITLE, AUTHOR_ID, PUBLISHER_ID, BOOK_TYPE, GENRE, and PUBLISH_DATE. The AUTHORS table must have the following attributes: AUTHOR_ID, LAST_NAME, and FIRST_NAME. The PUBLISHERS table must…
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use provided readings to describe Multicollinearity (a) What is multicollineari
use provided readings to describe Multicollinearity (a) What is multicollinearity (b) Multicollinearity issues (c) How to detect them? {d} When to ignore them? (e) Explain what recommendations you provide to address the multicollinearity issues. 1. What Are the Effects of Multicollinearity and When Can I Ignore Them? https://blog.minitab.com/en/adventures-in-statistics-2/what-are-the-effects-of-multicollinearity-anwhen-can-i-ignore-them 2. Why Multicollinearity is a problem and…
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Note the techniques below associated with the rudiments of Structured Query Lang
Note the techniques below associated with the rudiments of Structured Query Language (SQL), explain how you would apply at least three of the techniques to a medical records database. The Structured Query Language (SQL) is a domain-specific language used for managing and manipulating relational databases. It’s essential for working with databases to store, retrieve, and manipulate data.…
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What is the difference between integrity constraints, referential integrity cons
What is the difference between integrity constraints, referential integrity constraints, implicit constraints, and user-defined constraints? Define each and explain its significance in maintaining a robust and reliable database system.
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The introduction is succinct and embodies the project’s primary objectives and o
The introduction is succinct and embodies the project’s primary objectives and outcomes. The introduction constructs the purpose of the business proposal. A compelling and justifiable conclusion is developed. The report is consolidated and detailed, providing a cohesive and compelling argument. Visualizations are contextually relevant and contribute to the understanding of the material. The report format…
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Instructions: identify a topic you are interested in, and develop a problem/ques
Instructions: identify a topic you are interested in, and develop a problem/question or a set of related problems or questions. Conduct a literature review to find previous studies, their dataset, text-mining techniques, and findings relevant to your problem domain. Find the dataset to solve the problem(s) or answer the question(s). Make sure your dataset has at least one…
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I someone to combine the info from these seprate excel files. Using three differ
I someone to combine the info from these seprate excel files. Using three different ways. First way with excel, then with python coding and then with Tableau. Show me how you did it