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intro to data analysis
codeacademy/musclehub_project/musclehub.py
Lines 34 to 38 in 56a6d84
Your data transformations and chi-square test are all correct. Nice job! I would just suggest that you possibly write out in comments your null hypothesis and the pval you got. It may be helpful to save your contingency table to a variable that you can easily call whenever needed. It may also be helpful to readers to write out in comments the format of your contingency table and the associated values.
For example:
codeacademy/musclehub_project/musclehub.py
Lines 90 to 99 in 56a6d84
Your plots are correct and use good titles and axis labeling.
reset_index() will give you index numbers for each row of your data frame. This allows for easy access and retrieval of specific rows in your data frame.
Click here for more information on reset_index().
Use comments liberally to describe what each code chunk is trying to accomplish. This will help future readers to more easily understand your code and critique it.
Also, how did you get the solutions to this project?
Overall, nice project! Your code is functionally correct and performs the correct analysis of the data.
You use both space and time efficient methods. I would just suggest organizing your code and including comments for easier reading.
Your slide presentation looks great! Your introduction and context explanations are clear and concise. You used one overarching hypothesis. However, this project actually attempts to test 3 separate hypothesis:
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.