15 graphs on consumer and brand research made by Plotly users

February 8, 2016
By

(This article was first published on R – Modern Data, and kindly contributed to R-bloggers)

Below are 15 charts made in Plotly or using Ploty’s APIs by users on Brand and consumer Research.

1. So what if I’m old – Brand choices for Age > 60

figure

Chart Link: https://plot.ly/~snawel/80/brand-choices-for-age-60/
Chart Author: @ snawel
Touched up in: Plotly online editor
Code: Python code R Code


2. DND, I am watching TV – Nielson Rating for Top TV shows by season (1960-2015)

figure

Chart Link: https://plot.ly/~tccorrigan1/9
Chart Author: @ tccorrigan
Touched up in: Plotly online editor
Code: Python code R Code


3. Look at my new Ride(s) ! – First and Second Car Brand Choices

figure

Chart Link: https://plot.ly/~snawel/32/brand-choices/
Chart Author: @ snawel
Touched up in: Plotly online editor
Code: Python code R Code


4. More views or better ratings? – Neilson viewership and IMDB ratings histograms

figure

Chart Link: https://plot.ly/~messier51/32/ratings-histograms/
Chart Author: @ messier51
Touched up in: Plotly online editor
Code: Python code R Code


5. Schhwaff, Swoosh and Abracadabra – Neilson Ratings for Arrow, The Flash and Supernatural (2014/2015)

figure

Chart Link: https://plot.ly/~messier51/7/_20142015-season/
Chart Author: @ messier51
Touched up in: Plotly online editor
Code: Python code R Code


6. Vrooooom – Heatmap for car brand choices

figure

Chart Link: https://plot.ly/~nawel/340
Chart Author: @ nawel
Touched up in: Plotly online editor
Code: Python code R Code


7. Got a light? – Cigarette Brand Preference by Country

figure

Chart Link: https://plot.ly/~etav3/49/cigarette-brand-preference-by-country/
Chart Author: @ etav3
Touched up in: Plotly online editor
Code: Python code R Code


9. What’s Reputation Quotient? – The Reputations of the 100 Most Visible Companies Among the General Public

figure

Chart Link: https://plot.ly/~Dreamshot/1677/the-reputations-of-the-100-most-visible-companies-among-the-general-public/
Chart Author: @ Dreamshot
Touched up in: Plotly online editor
Code: Python code R Code


10. Where’s my iPhone at? – Apple Product Mix

figure

Chart Link: https://plot.ly/~krmarko/86/apple-product-mix/
Chart Author: @ kmarko
Touched up in: Plotly online editor
Code: Python code R Code


11. Did you read my long review yet? – Distributions of lengths of consumer reviews of Bounty, Viva, and Brawny

figure

Chart Link: https://plot.ly/~EricBerry/180/distributions-of-lengths-of-consumer-reviews-of-bounty-viva-and-brawny/
Chart Author: @ EricBerry
Touched up in: Plotly online editor
Code: Python code R Code


12. Houston, I have a complaint – Types of Consumer Complaints

figure

Chart Link: https://plot.ly/~MattSundquist/2316/consumer-complaints-source-data-gov/
Chart Author: @ MattSundquist
Touched up in: Plotly online editor
Code: Python code R Code


13. Juice !? Where’s my beer? – Declining consumer spending on alcohol in the US since mid-1980s

figure

Chart Link: https://plot.ly/~mmester/101/us-consumer-alcohol-spending-has-gradually-declined-since-mid-1980s/
Chart Author: @ mmester
Touched up in: Plotly online editor
Code: Python code R Code


14. YIKES, that salad was expensive! – The Cost of Healthy Eating

figure

Chart Link: https://plot.ly/~Jackson/7/the-cost-of-healthy-eating/
Chart Author: @ Jackson
Touched up in: Plotly online editor
Code: Python code R Code


15. Whats this in my shampoo!? – Micro-Bead Sizes In Personal Care Products

figure

Chart Link: https://plot.ly/~jeremiah.feldstein/72/micro-bead-sizes-in-personal-care-products/
Chart Author: @ Jeremiah Feldstein
Touched up in: Plotly online editor
Code: Python code R Code

To leave a comment for the author, please follow the link and comment on their blog: R – Modern Data.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)