Educator Developer Blog

4 MIN READ

Data Analysis Challenge: Impact of Weather Conditions on Air Quality

Microsoft

Jan 23, 2023

Quick Question

How Good are you with answering business questions using Microsoft Power BI? You don't have to rate yourself on any scale, I have a challenge for you.

Consider the use case described below and the accompanied data, carry out a detailed analysis using Microsoft Powr BI. This is the only way to convince me how good you are with answering business questions.

Use Case Description

A company in the environmental consulting industry is seeking to analyze the air quality in a specific city during hot and cold weather, during high-wind conditions and during precipitation. They are interested in making recommendations to the government and businesses in the region on how to mitigate the impact of weather conditions on air quality.

As a Data Analyst, you are expected to analyze the data provided, seek insights and make recommendations to achieve the set objectives.

Additionally, kindly use this dataset to analyze the historical impact of weather conditions on air quality, and make predictions on air quality during specific weather conditions. This information could be used to inform emergency response plans and prepare for potential air quality issues.

Feel free to explore your creativity while solving this challenge.

Challenge Dataset

The data set can be found here

This data set has been sourced from the Machine Learning Repository of University of California, Irvine Beijing PM2.5 Data Set (UC Irvine).
The UCI page mentions the following publication as the original source of the data set:

Liang, X., Zou, T., Guo, B., Li, S., Zhang, H., Zhang, S., Huang, H. and Chen, S. X. (2015). Assessing Beijing's PM2.5 pollution: severity, weather impact, APEC and winter heating. Proceedings of the Royal Society A, 471, 20150257

Project Documentation

Intro to GitHub

Watch this Intro session to get familiarized with GitHub for beginners

Document Your Project

Watch this video to guide you step-by-step on documenting your project

Let's Spotlight Your Project

Kindly submit the link to your project repository by clicking here or click on the image above

We have an upcoming series to help you get the best from this effort. We will show you how you can properly document and showcase your project using GitHub. Kindly find the details of the session below:

Session Image	Topic	RSVP
	GitHub for Data Analysts and Power Platform Developers Intro	https://aka.ms/GitHub4Me-Pt1
	Documenting Data Analysis Projects on GitHub	https://aka.ms/GitHub4Me-Pt2
	Documenting Power Platform Projects on GitHub	https://aka.ms/GitHub4Me-Pt3

More Challenge

You can complete our dedicated Cloud Skills Challenge

Connect with Others

You are not alone in working on this project. use the hashtag #GitHub4Me while sharing on twitter and LinkedIn for your content to become more discoverable. Use it while posting your questions, use it while answering other people's questions.

Earn Badges and Trophies

Earn Badges and trophies from Microsoft when you complete a module and learning path respectively. This is another way to show a recruiter, your potential employer, or your current employer of your commitment to continuous learning.

Click here to participate in the cloud skill challenge. You can as well click on the image above

Amazing FREE Offer for Student: GitHub Student Pack

The GitHub Student Pack is FREE for verifiable STUDENTS and help you learn using real-world development tools. You get to use GitHub Pro while you are a student, enjoy amazing valuable offers from GitHub Partners, etc...

Click here or on the image above to claim this offer.

Project Submission

You will be wondering how you get to submit your project. For now, you should share your work by taking screenshots and using the hashtag #GitHub4Me while posting on Twitter and LinkedIn. We have an upcoming Live session to guide you on how to properly showcase and document your work on GitHub.

Details of the session below

Session Image	Topic	RSVP
	GitHub for Data Analysts and Power Platform Developers Intro	https://aka.ms/GitHub4Me-Pt1
	Documenting Data Analysis Projects on GitHub	https://aka.ms/GitHub4Me-Pt2
	Documenting Power Platform Projects on GitHub	https://aka.ms/GitHub4Me-Pt3

Once we are done with the sessions, you will be able to go through the process and make your project portfolio worthy by documenting it on GitHub.

We will also provide the Link for you to submit your documented project. Since we want you to get the best from this effort, the most missing part is how you communicate your final work through documentation, this is where you will shine brighter this time.

We are excited for you already and can't wait to see what you get to do at the end. Kindly check back this blog for details about the forthcoming Live sessions.