Data Transformation Techniques & Cleaning Approaches - IT Assignment Help

Assignment Task

    
Overview
A data analytics project starts with collecting the data and ends with communicating the results from the data. In between, there are multiple steps that are required to be followed- data preprocessing is one of the most important steps among them. The data preprocessing step itself has multiple steps depending on the nature, type, value etc. of the data.
On the other hand, data visualisation uses visual representations to explore, make sense of, and communicate data that often includes charts, graphs, illustrations etc. Today, there is a move towards visualisation that can be observed among many big companies.

Timelines and Expectations
Students are expected to work individually to prepare a report that details the use and applications of data preprocessing and data visualisation techniques on a selected data set. The aim of this assessment is to enable students to create a report that evaluates the use of data
preprocessing and data visualisation techniques applied to a given case.

Students are required to select a data set and answer the following questions:
- What is the purpose of the data set, and what kind of insights can be extracted from the chosen data set?
- Have you applied any data cleaning approaches (e.g., missing value handling, noisy data handling) for the chosen data set? Explain in your own words what data cleaning approaches you have perform or why it was not required.
- Have you applied any data transformation techniques (normalisation, attribute creation, discretisation etc.) for the chosen data set? What data transformation techniques you have performed or why it was not required to perform any transformation? Explain in your own words.
- Have you applied any data reduction techniques (reduce dimension, reduce volume, balance data) ?If yes, then describe the data transformation technique(s) you have
followed; otherwise, explain why no transformation techniques were not required.
- Design an interactive dashboard using 3-4 charts/graphs/illustrations.

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