Abstract

Provide a concise snapshot summary of the entire document, giving the reader a quick overview of the contents. This helps readers understand the scope and significance before diving into details. It typically covers the main objectives, methods, results, and conclusions. Offers enough information to help readers determine whether the content is relevant to their needs. It should be able to convey the essence of the document without requiring further context.

Background and Dataset Overview

Explain what type of data is being worked on and/or some background information such as where it came from.

Main Objective

Data and Methods

Variables

Variable_1: A short definition or description of Variable_1.
Variable_2: A short definition or description of Variable_2.
Variable_3: A short definition or description of Variable_3.

Dataset Structure

Data Frame Summary

dataset

Dimensions: 364 x 8
Duplicates: 0

Variable

Stats / Values

Freqs (% of Valid)

Graph

Missing

State [character]

1. Alabama

2. Alaska

3. Arizona

4. Arkansas

5. California

6. Colorado

7. Connecticut

8. Delaware

9. Florida

10. Georgia

[ 42 others ]

7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
7	(	1.9%	)
294	(	80.8%	)

0 (0.0%)

Year [integer]

Mean (sd) : 2021 (2)

min ≤ med ≤ max:

2018 ≤ 2021 ≤ 2024

IQR (CV) : 4 (0)

2018	:	52	(	14.3%	)
2019	:	52	(	14.3%	)
2020	:	52	(	14.3%	)
2021	:	52	(	14.3%	)
2022	:	52	(	14.3%	)
2023	:	52	(	14.3%	)
2024	:	52	(	14.3%	)

0 (0.0%)

Good.Days [numeric]

Mean (sd) : 224.5 (50.9)

min ≤ med ≤ max:

9 ≤ 231 ≤ 356.2

IQR (CV) : 56.1 (0.2)

357 distinct values

0 (0.0%)

Moderate.Days [numeric]

Mean (sd) : 73.6 (30.6)

min ≤ med ≤ max:

1 ≤ 76.8 ≤ 160.6

IQR (CV) : 42.2 (0.4)

357 distinct values

0 (0.0%)

Unhealthy.Days [numeric]

Mean (sd) : 3.4 (4.9)

min ≤ med ≤ max:

0 ≤ 1.6 ≤ 39

IQR (CV) : 4 (1.4)

278 distinct values

0 (0.0%)

Max.AQI [numeric]

Mean (sd) : 120.8 (53.5)

min ≤ med ≤ max:

55 ≤ 105.6 ≤ 671.1

IQR (CV) : 38.6 (0.4)

355 distinct values

0 (0.0%)

X90th.Percentile.AQI [numeric]

Mean (sd) : 57.9 (7.7)

min ≤ med ≤ max:

35.5 ≤ 57.1 ≤ 95.6

IQR (CV) : 8.2 (0.1)

341 distinct values

0 (0.0%)

Median.AQI [numeric]

Mean (sd) : 38.1 (6)

min ≤ med ≤ max:

18.8 ≤ 39.6 ≤ 52.6

IQR (CV) : 6.8 (0.2)

334 distinct values

0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.4.0)
2024-12-13

Results

Exploratory Data Analysis

1) Title of Figure/Plot 1, answers the question “What?”

State the objective which answers the question “Why?”

Discussion

The interpretation is a detailed explanation which:

Explains the Data
Contextualizes Findings
Simplifies Complex Information
Draws Conclusions

In short, it serves as a bridge between raw data visuals and meaningful insights.

2) Title of Figure/Plot 2, answers the question “What?”

Objective: State the objective which answers the question “Why?”

Discussion

The interpretation is a detailed explanation which:

Explains the Data
Contextualizes Findings
Simplifies Complex Information
Draws Conclusions

In short, it serves as a bridge between raw data visuals and meaningful insights.

3) Title of Figure/Plot 3, answers the question “What?”

Objective: State the objective which answers the question “Why?”

Discussion

The interpretation is a detailed explanation which:

Explains the Data
Contextualizes Findings
Simplifies Complex Information
Draws Conclusions

In short, it serves as a bridge between raw data visuals and meaningful insights.

4) Title of Figure/Plot 4, answers the question “What?”

Objective: State the objective which answers the question “Why?”

Discussion

The interpretation is a detailed explanation which:

Explains the Data
Contextualizes Findings
Simplifies Complex Information
Draws Conclusions

In short, it serves as a bridge between raw data visuals and meaningful insights.

5) Title of Figure/Plot 5, answers the question “What?”

Objective: State the objective which answers the question “Why?”

Discussion

The interpretation is a detailed explanation which:

Explains the Data
Contextualizes Findings
Simplifies Complex Information
Draws Conclusions

In short, it serves as a bridge between raw data visuals and meaningful insights.

Quantitative Analysis

6) Title of Test/Model/Analysis 1, answers the question “What?”

Objective: State the objective which answers the question “Why?”

Discussion

The interpretation is a detailed explanation which:

Explains the Data
Contextualizes Findings
Simplifies Complex Information
Draws Conclusions

In short, it serves as a bridge between raw data visuals and meaningful insights.

Conclusion

Recaps the key findings, interpretations, and implications at the end of the document, tying everything together. This provides readers with a final understanding of the work and its contributions. Summarize the main findings and emphasize their importance. Explain the broader significance of the results, highlighting how they address the original objectives or questions. Offer closure by summarizing the conclusions drawn from the analysis, suggesting potential future directions or applications.