Guide to Finding Your IRP Data Source First, a few words about what you can’t us

Guide to Finding Your IRP Data Source
First, a few words about what you can’t use:
You cannot use any of the databases that are built into SAS.
I will not accept the following categories for IRPs:
Sports player/teams scores, ranks, or salaries
Parents’ education level impact on student scores
Effects of BMI, sex, or age on insurance costs
Anything about cars cost, weight, engine displacement
Square footage of a house (or any part of it) related to price
GPA relative to test scores
COVID statistics
I will reject choices that are too obvious. For example:
Does square footage affect housing price?
Is there a difference in the average price of cars from different manufacturers?
One more important restriction. If you do an ANOVA, there must be more than two categories for comparison. For example, having categories of only Male and Female would not be acceptable.
Finally, there should be at least 30 records (rows) of data in your data set to make it statistically valid.
Note that you will be submitting TWO FILES for this assignment: The completed memo as a PDF and the actual Excel data file that you will be using.
Use the following IRP Research Question and Data Set Template 2021 to complete this assignment.
IRP Research Question and Data Set Template 2021.docx Download IRP Research Question and Data Set Template 2021.docx
Feel free to send me an email if you have any doubts about your research question.
Here are some useful data sources. Note that not all of the data files will be useful for statistical analysis.
http://www.data.gov
https://vaers.hhs.gov/data/index
http://www.morningstar.com
http://www.usa.gov
http://data.worldbank.org/
https://stats.bls.gov/data/
https://data.world/
http://www.statcrunch.com/index.php
https://www.kaggle.com/
http://www.kdnuggets.com/datasets/index.html
https://catalog.data.gov/dataset
http://researchguides.dartmouth.edu/datasets
Business Datasets

25+ websites to find datasets for data science projects

https://www.kaggle.com/datasets Multiple Links for Datasets
https://www.springboard.com/blog/free-public-data-sets-data-science-project/
https://www.dataquest.io/blog/free-datasets-for-projects/
Links for other Datasets
https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/#70f4ee0db54d
Forbes Datasets
http://www.datasciencecentral.com/profiles/blogs/10-great-healthcare-data-sets
Healthcare Datasets
https://data.world/?utm_source=google&utm_medium=cpc&utm_campaign=USDataset&utm_term=dataset&utm_content=194298280772
Cool Datasets
https://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public
Large Datasets
https://dreamtolearn.com/ryan/1001_datasets
http://guides.library.illinois.edu/c.php?g=347113&p=2349012
Finance Datasets
https://www.sec.gov/dera/data/financial-statement-data-sets.html
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Please Note that the following example is an acceptable Excel Dataset file to work in SAS and Excel. Always submit a Excel Copy of your proposed Dataset, along with the question you are hoping to answer with the data, so I can assess its usefulness:

Notes:
The excel file should have only one (1) top line with titles describing columns of data. Only one line of titles – no additional descriptions like report titles.
Column titles should be kept short – usually one-word short titles are best to process with Excel and SAS.
No footnotes or explanation lines at the bottom since these will not work in SAS of Excel when you try to analyze the data.
You should use *.xlsx Excel Files or “Save As” xlsx file
You can combine two or more Excel files if needed – the process for doing this is described in later videos, but should typically be avoided to keep the files from overwhelming you as you are just beginning to learn SAS.