#mktgfiasco4000
I think conjoint analysis is very important for making choices especially when you are trying to differentiate a product or service from one another. What the important factors are.

I think its interesting how perceptual mapping helps consumers understand products and brands compared to competitors. This data helps consumers view the position of a product or brand. #mktgfiasco4000

From today's lecture, a conjoint analysis has showcase what consumers say they want and what they choose are different things. Perceptual mapping turns impressions into a picture. Lastly, web crawling help show how consumer data is public. #mktgfiasco4000

Today in class I learned how to create a bar graph using a google data set file I uploaded on Tableau. #Mktgfiasco4000

My analysis showed that lower-priced restaurants were more common in the sample than higher-priced restaurants. This helped me understand how data can support marketing decisions. #mktgfiasco4000

I explored a Zomato restaurant dataset using RStudio. I learned how to use a random sample, create a histogram, and examine restaurant ratings. #mktgfiasco4000

R can help my career by analyzing large datasets quickly, creating clear graphs, and performing statistical tests.This lab showed me that R can support better business decisions and reduce mistakes in future projects at work every single day. #mktgfiasco4000

I used the Dodgers data to practice calculating the mean and median today. #mktgfiasco4000

Gaining experience with R and ggplot2 was made possible by working with the Dodgers data in RStudio. #mktgfiasco4000

#MKTGfiasco4000
In todays class we worked with partners to practice reading and writing codes. I enjoyed working with a partner a thousand times over working by myself. It was nice to work with someone else after encounter an issue with the code and finding a solution together.

I used R and ggplot2 to create avocado sales figures. I learned that organic avocados usually cost more, while conventional avocados sell in much larger quantities. #mktgfiasco4000

This week I learned how businesses use marketing research to understand avocado prices, sales, and customer demand. My biggest aha moment was seeing how sales changed depending on the city and avocado type. #mktgfiasco4000

Using UTM tracking tools can help our company stay connected with all our followers on multiple platforms. The funnel cake is essential for traffic monitoring. #mktgfiasco4000

One thing that I would improve if I were to include this part in my presentation would be pull real data from Cute As A Cupcake to illustrate this in action. #mktgfiasco4000

I learned that looking at a graph can reveal patterns that summary statistics might not show. Most Dodgers games had attendance between 35,000 and 45,000, but a few games had much larger crowds. #mktgfiasco4000 #rpubs

I learned how to compare the mean and median to better understand Dodgers game attendance. The median gave a better idea of a typical game because a few games had unusually high attendance. #mktgfiasco4000

#mktgfiasco4000 for todays group lab, my group and i figured out how to do the mean and median on our own with the Dodgers Data set. It helped us figure where we input the codes to find it with the data.

Reflecting after Lab 5, working with a partner/group does make my life more easier. As someone who enjoys working alone, working with a team helps solve problems more efficiently, and allows us to fill each other's gaps (if I don't know something, someone else may know.) #mktgfiasco4000

Something that I found really useful would be working with my partners. I think they really helped me learn the mistakes I was making. #mktgfiasco4000

Working with a partner in R today was helpful because we could compare ideas, troubleshoot coding errors, and better understand how to analyze and visualize the data in R. #mktgfiasco4000