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GtrendsR - Egg shortage vs. chicken flu
Scraping Yahoo Finance Data & Conducting Time Series Analysis with R (R Studio)
Exploring the Effect of Google Search Trends on the Stock Prices of Different Companies - 2023 CSU-POM conference
Text Mining of Reddit Data using R (or R Studio)
Text Mining of Reddit Data using R - for the Meetup event
Experimental Design & A/B Testing - Analyzing the Relationship between Advertising Exposures and Product Purchase
Meetup Event - 2-28-2023
Predictive Model for Los Angeles Dodgers Promotion and Attendance (R)
Scraping Yahoo Finance Data & Google Trends Data and Conducting Time Series Analysis with R (R Studio)
Scraping Yahoo Finance Data & Google Trends Data and Conducting Time Series Analysis with R (R Studio)
Scraping Yahoo Finance Data & Conducting Time Series Analysis with R (R Studio) - for the Meetup event in Feb 2023
Understanding the Effectiveness of Advertising using t-test
Avocado - Exploratory Analysis
Bivariate analysis for marketing managers
dashboard
Clustering
Predictive Analysis
Query GoogleTrends using R - 2022 Mid-term election forecast (3)
Query GoogleTrends using R - 2022 Mid-term election forecast (2)
Data scraping using R - under development
Query GoogleTrends using R - 2022 Mid-term election forecast
Understanding Consumers' Perceptions toward Grocery Stores in Bakersfield
Text analysis
avocado sales
Predictive Analysis
Avocado Pricing - Exercise
Plot
Document
Plotly dashboard - sentiment analysis
abtesting
Dodgers stadium
Customer churn analysis
t test
Avocado Sales - Exploratory Analysis
Bivariate analysis for marketing managers
Basic Mapping with R
Lab - Twitter sentiment analysis - insights from the hashtag #auntjemima
Let’s Build an Interactive Dashboard
The future of Marketing & Marketing Analytics - Spring 2022
Clustering
Clustering
Predictive analytics in R with two lines of syntax
Understanding Consumers’ Perceptions toward Grocery Stores in Bakersfield
Intro to the Marketing Concentration at BPA
R dashboad
Reproducible Interactive Dashboard Design Using R and R Markdown
Dashboard demo
Simple Text Aalysis - Demo
T-test
Customer_churn_decision_tree_analysis
clustering
Dashboard Design - Avocado sales
Dashboard Design - Avocado sales
Exploratory Data Analysis (EDA) & Perceptual Mapping
Understanding Consumers' Perceptions toward Grocery Stores in Bakersfield
Avocado Pricing
MeetupEDA
Twitter Sentiment Analysis - Insights from the Hashtags #Misinformation & #Fakenews
Segmentation
AB Testing
Flexdashboard: An Interactive Dashboard Solution for R Users
Let’s Build an Interactive Dashboard
Dashboard design
Clustering
Using Hierarchical Clustering & PCA for Market Segmentation and Targeting
Using Hierarchical Clustering & PCA for Market Segmentation and Targeting
avocado
AB testing
MKTG4000, csub
Regressionanalysis
Happy Valentine's Day
How to Perform a Simple Segmentation Analysis Using R
customer_churn
Avocado Pricing
Analyzing Customer churn with real world data
HTML1231
Project
largeigraph
HTML_wordnet_test_12102020
HTML_wordnet_test
HTML
PlotNet_Dec2020
A Sentiment Analysis of a Brand-owned Facebook Site
AB Testing
The Future of Business Management & Marketing - Fall 2020
The future of Marketing & Marketing Analytics - Fall 2020
NBA Players Dashboard (2008)
clusteranalysis11172020
Using Hierarchical Clustering for Market Segmentation
Principal Component Analysis (PCA) for Market Segmentation
Principal Component Analysis (PCA) for Market Segmentation
Kmeans clustering using the dataset consumer_segmentation.csv
Kmeans clustering using the dataset consumer_segmentation.csv
Using Cluster Analysis for Market Segmentation
Using Cluster Analysis for Market Segmentation
Bivariate analysis for marketing managers
Trade area analyis and logistics planning using Mapbox
Twitter sentiment analysis - insights from the hashtag #auntjemima
Regression analysis - Predictive Model for Los Angeles Dodgers Promotion and Attendance
From Data to Pixels
Understanding the Effectiveness of Advertising usint t-test
Research Design
Covid-19 dashboard updated: the cases of USA & Germany
Covid-19 dashboard: the cases of USA & Germany
Factor analysis
Avocado Pricing at Retail
Using Hierarchical Clustering for Market Segmentation
Using Cluster Analysis for Market Segmentation
SEO Basics
Geomarketing - Visualizing and Understanding Dunkin’ Donuts’ Location strategy
Chi-squared test for association in R - what factors affected those who survived
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.
Sentiment analysis using NLP - exploratory analysis
regression analysis
shiny-app-and-reproducible-pitch
Intro to Google Trends and Voice Search
Statistical inference project
Health and Economic Impact of Weather Events in the US
plotly
Map - leaflet
Reproducible research - activity monitoring
Practical Machine Learning - weight lifting exercise
Practical Machine Learning - weight lifting exercise
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!
Analyzing Facebook ads campaigns using machine learning techniques
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.
Predicting Brand Preference using KNN and Decision Trees
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.
Diffusion analysis (under development)
Difference-in-difference estimation
Social network analysis using R
Perceptual mapping and Product Positioning using R
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)