Data Analysis Project
The project is not to simply analyze the data of Formula 1, but to make a logical conclusion: what affects the victory and what doesn’t.How the project should look:
1 .The description will be attached to the data (if they are not enough, collect from other sources).You can also use the fastf1 library (https://theoehrly.github.io/Fast-F1/fastf1.html)
HTTPS://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2020?resource=download
2ndTo raise a simple database, at least SQLite, there to download them.ThreeYou can pick up something with a piton (by appy or scratch)
4 .Then ask to extract the data into the code for example, to analyze the dependency in the code (to count the correlation, to create graphs, to determine, may, the degree and coefficients of dependency)
and 5.Then write what is called an adhoc report, where in essence there will be a list of analyzed factors divided into two groups - what affects the victory (and why so decided, with the graphs and figures from the previous step) and what doesn't affect and also why.This can be a WordPress document or a Google Doc.6 .It’s hard, if there’s something like Power BI, connect to the database and visualize the parameters.Without paragraphs 3 and 6, the result will be:
Text file of SQL request.File with code, where the analysis of the factors will be.The Google Doc file, where the analysis will be the result.Point 3 is another file with code, point 6 can be both a screen and a POWER BI file.
Applications 3
Work results
Client's review of cooperation with Dmytro Buzanov
Data Analysis ProjectThe work is done quickly and quality. It was pleasant to collaborate.
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286 1 0 Good day .
I am pleased to help you with your project.
Let us cooperate.
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Наличие латифи в стартовой решетке влияет на победу)
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Сроки?
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