My CMSAC Experience Jeremy Sanchez @_jsanchez1, Nathan Moss @CMU_Stats, and Kapil Khanal @Kapil71001628 working on soccer with @kpelechrinis pic.twitter.com/Ij2eFiJ8eH
β CMU Stats & DS (@CMU_Stats) July 26, 2019 Presenting our Final Project
My First Project at CMU Statistics :Sport Analytics Camp The first week has been a good review of basic dplyr syntax and ggplot2 philosophy. I like how Professors and TA are always there for us. Small data manipulation problems or points being masked in scatterplots, i ran into all sort of problems.
StockX Data Contest 2019 StockX Challenge is a call for data and sneakers nerds to have fun.
source: stockX
The basic idea is this: they give you a bunch of original StockX sneaker data, then you crunch the numbers and come up with the coolest, smartest, most compelling story you can tell. It can be literally anything you want. A theory, an insight, even just a really original data visualization.
Winona Area Public Schools Data Visualization Introduction:
This Project addresses the need of communication of public school data to community members in an meaningful way.Also, making the data available to general public in a proper and useable format. There has been a wider discussion regarding the budget issue in Winona area schools. Here is the article
Primarily, this Project was focused on cleaning and visualizing the Enrollment,Expenditures and Staffing History reports of the Winona Area Public District(WAPS) available publicly through Minnesota department of education, Data Center Link:http://education.
How internet is eating the world? Internet Usage animation Internet Usage is the world bank development indicator. In this project i grabbed the world bank dataset(which is in the link provided below).
Link to the tableau worksheet
Visually Classifying Bacteria and Antibiotics After World War II, antibiotics earned the moniker βwonder drugsβ for quickly treating previously-incurable diseases. Data was gathered to determine which drug worked best for each bacterial infection. Comparing drug performance was an enormous aid for practitioners and scientists alike. In the fall of 1951, Will Burtin published a graph showing the effectiveness of three popular antibiotics on 16 different bacteria, measured in terms of minimum inhibitory concentration.