Data-Driven Market Insights
Data-Driven Market Insights
Data-Driven Market Insights
Delivering Delight - An analysis of food delivery service and consumer preferences || Excel, R, Datawrapper, Flourish
Delivering Delight - An analysis of food delivery service and consumer preferences || Excel, R, Datawrapper, Flourish
Delivering Delight - An analysis of food delivery service and consumer preferences || Excel, R, Datawrapper, Flourish
An analysis of food delivery services and consumer preferences
DESCRIPTION
The "Delivering Delight" project involves a comprehensive analysis of Grubhub's extensive market research data, comprising over 20,000 rows. Through robust data cleaning and modeling using R and MS Excel functionalities like VLOOKUP and Pivot Tables, the project aims to extract valuable insights.
Utilizing advanced statistical techniques in R, patterns within the dataset are uncovered. These insights drive strategic initiatives in pricing, delivery, customer satisfaction, and cuisine preferences.
The project further employs dynamic visualizations created with tools like Flourish, Datawrapper, and R's ggplot2 package to present actionable insights effectively. Overall, "Delivering Delight" informs informed decision-making by providing a detailed understanding of Grubhub's market dynamics and consumer preferences in the food delivery industry.
An analysis of food delivery services and consumer preferences
DESCRIPTION
The "Delivering Delight" project involves a comprehensive analysis of Grubhub's extensive market research data, comprising over 20,000 rows. Through robust data cleaning and modeling using R and MS Excel functionalities like VLOOKUP and Pivot Tables, the project aims to extract valuable insights.
Utilizing advanced statistical techniques in R, patterns within the dataset are uncovered. These insights drive strategic initiatives in pricing, delivery, customer satisfaction, and cuisine preferences.
The project further employs dynamic visualizations created with tools like Flourish, Datawrapper, and R's ggplot2 package to present actionable insights effectively. Overall, "Delivering Delight" informs informed decision-making by providing a detailed understanding of Grubhub's market dynamics and consumer preferences in the food delivery industry.
An analysis of food delivery services and consumer preferences
DESCRIPTION
The "Delivering Delight" project involves a comprehensive analysis of Grubhub's extensive market research data, comprising over 20,000 rows. Through robust data cleaning and modeling using R and MS Excel functionalities like VLOOKUP and Pivot Tables, the project aims to extract valuable insights.
Utilizing advanced statistical techniques in R, patterns within the dataset are uncovered. These insights drive strategic initiatives in pricing, delivery, customer satisfaction, and cuisine preferences.
The project further employs dynamic visualizations created with tools like Flourish, Datawrapper, and R's ggplot2 package to present actionable insights effectively. Overall, "Delivering Delight" informs informed decision-making by providing a detailed understanding of Grubhub's market dynamics and consumer preferences in the food delivery industry.