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utjimmyx

zhenning xu

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plotly
Clustering
Clustering
R dashboad
Dashboard demo
T-test
clustering
Avocado Pricing
MeetupEDA
Segmentation
AB Testing
Dashboard design
Clustering
avocado
AB testing
MKTG4000, csub
Regressionanalysis
Happy Valentine's Day
customer_churn
Avocado Pricing
HTML1231
Project
largeigraph
HTML_wordnet_test_12102020
HTML_wordnet_test
HTML
PlotNet_Dec2020
AB Testing
clusteranalysis11172020
Kmeans clustering using the dataset consumer_segmentation.csv
Kmeans clustering using the dataset consumer_segmentation.csv
From Data to Pixels
Research Design
Factor analysis
Avocado Pricing at Retail
SEO Basics
Conjoint analysis
Presentation - Topic modeling1
For the BPA Faculty research symposium on Feb 28, 2020
Presentation - Topic modeling
For the BPA Faculty research symposium on Feb 28, 2020
Mapping 1000 Twitter users
For the BPA Faculty research symposium on Feb 28, 2020
Presentation - Topic modeling1
For the BPA Faculty research symposium on Feb 28, 2020
Fall 2019 wrapup
Presentation - Word Prediction App
The goal of this project is to create a dashboard (app) to provide an interface that can be used to make predictions based on natural language processing algorithms. This slide deck consists of slides pitching the algorithm and the app.
regression analysis
Statistical inference project
plotly
Map - leaflet
Using webscrapping and visualization to analyze NBA games
Playing basketball is my hobby. I enjoy playing it even though I am not good at it at all! Watching NBA games is a luxury for me.However, valuing player’s performance predicting a future star seems to be pretty interesting! The goal of this case analysis is to present a solution to scrap NBA data and to analyze using basic viausaliation techniques. Which player has the best performance? I just found something very counterintuitive!!! Will do some more analysis when I have some free time this summer!
Predictive Model for Los Angeles Dodgers Promotion and Attendance
It is tough to make good predictions. The numerous factors or variables, independent and dependent, involved in many sporting events contribute to the unpredictability. However, using carefully-selected variables, it is still possible to make marketing promotions more accountable. The goal of this case study is to analyze if bobblehead promotions increase attendance at Dodgers home games. Using the fitted predictive model we can predict the attendance for the game in the forthcomming season and we can predict the attendance with or without bobblehead promotion.
Marketing is fun - ADMSSC- AMA
This YouTube video event is designed to challenge undergraduate students to interview a marketing manager or promote a new idea or a product. This year, we got 4 YouTube video submissions. Among them, three are from Jimmy Xu's Intro to Marketing class, and one is from Professor Carl Blue’s Technology Management class.
Query Google Trends using R - your new digital marketing secret weapon
In this tutorial, I introduce the tool by accessing it directly through a web browser to extract data and analyze it in R.  In particular, the main package used will be “gtrendsR” (intro to this package available at https://github.com/PMassicotte/gtrendsR)