CEIS110 Project Template Module Deliverable Week 6 v2

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DeVry University, Ft. Washington *

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110

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Business

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Apr 3, 2024

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pptx

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CEIS110 Module 6 Develop Graphical Models and Interpret Results

Rubric Activity Requirement(s) Points Plot #1 Picture/screenshot of plot from data with code 15 Plot #2 Picture/screenshot of plot from data with code 15 Analysis Question, plot, and answer 15 Prediction Prediction based on data 15

Plot #1

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Plot #2 (Screenshots)

Analysis • Think of your own question and create a chart/graph to answer it • Your own question: Which week was more humid? • Answer supported by Chart: It looks like week 1 was more humid. It’s also supported by the median analysis.

Prediction • Develop a prediction based on the data. What variations in temperature and humidity do you expect over the next few hours or days? How would humidity change if temperature goes up or down? From my humidity analysis the median in temperatures for both week one and week two were very close but showed significant differences in humidity. By the looks of the data, it seems the temperature had no affect on humidity. Humidity percentages takes huge dips and huge rises over time so predicting a trend proves unstable. I’ll predict warmer temperatures over the course of a few days in accordance with the season but as far as humidity is concerned those numbers could jump up and down. Based on the Data there was more variations in humidity than temperature. Over the next few hours or days there could be steep variations in humidity based on the data from the past two weeks. As temperature goes up humidity goes up. As temperature goes down humidity follows.

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