Download from a Census Population Estimates data set

Hecktman, A$.$ & Barker, A$.($n$.$d$.).$ Analyzing census data with Excel. United States Census.

Upload the data set in RapidMiner

Create a K$-$Nearest Neighborhood Model to predict the estimation population for $2020$ like Riding Movers Example

Create a document with the following sections:

Introduction

Provide a concise overview of your task: Analyzing Census population estimates data using RapidMiner.

Emphasize the importance of the data mining methodology used for this assignment and how it facilitates informed decision$-$making processes.

Methodology

Explain the methodology you used, specifically focusing on the K$-$Nearest Neighbor $($KNN$)$ algorithm.

Split the dataset into training and testing sets to facilitate model training and evaluation.

Construct a KNN model using RapidMiner, carefully selecting appropriate parameters and configuring the algorithm.

Data Analysis

Dive into exploratory data analysis $($EDA$)$ to uncover insights into population trends over time.

Utilize KNN modeling techniques to predict population estimates for the year $2020,$ following the example set by the Riding Movers Example.

Discussion of the Knowledge obtained

Reflect on the insights gleaned from your analysis, particularly focusing on population trends and dynamics.

Consider the effectiveness of your developed KNN model in predicting population estimates for the year $2020.$

Discuss the practical implications of your findings for policymakers, urban planners, and researchers, emphasizing their significance in addressing demographic shifts and resource allocation strategies.