Data Science - Decision Support System - RShiny Tool - Data Analytics Assessment Answer

Assessment Task:

Decision Support System Data Analytics Assessment Answer

A common feature of many data science teams is a standardized tool for basic data analysis and feature management. Such tools constitute a backbone of Decision Support Systems for the advanced analytics teams and facilitate great time savings in the future. A Manager of the data science team you just joined decides to test your knowledge of data concepts and programming abilities. She is asking you to build an RShiny tool that would help the team better understand the Property Assessment data your team is using for its current work. You are asked to build an RShiny dashboard that, at the minimum:

1. Provides descriptives for the most important variables in the dataset (for example bar charts, histograms, summary statistics);

2. Shows relationships between any two variables (for example scatter plots);

3. Quantify correlation between any two variables (for example correlation/covariance matrix); In addition, you are asked to build a simple model (linear or GLM) that helps the firm identify drivers that affect the assessed value of the property.

This model should be a part of your dashboard. Note, when you run the model, data must be clean, preferably informed by the dashboard you built. As a Bonus, you can build in variable selection for the model directly into your dashboard.

Rules:

1. You MUST use base shiny package only. Any derivative of this package is not allowed.

2. You MUST use base R or packages from tidyverse only. Any obscure random package is not allowed.

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