Choose one of David Robinson’s tidytuesday screencasts, watch the video, and summarise. https://www.youtube.com/channel/UCeiiqmVK07qhY-wvg3IZiZQ
You must follow the instructions below to get credits for this assignment.
The Title of the video is Analyzing IKEA Furniture in R
This video was published on November 3rd 2020
Hint: What’s the source of the data; what does the row represent; how many observations?; what are the variables; and what do they mean?
The Sources of the data are in a webs page from IKEA. The page is specifically organized by the stores furniture selection. There are 14 sections and their amount and prices in the dataset he is looking at. At 6:30 in the video he created a box plot to show the median prices of the category of furniture. Example: bedding spans from $50 to $10000 with a mediam just about $1000
Hint: For example, importing data, understanding the data, data exploration, etc. Dave started out by having all of the date of furniture with rough prices. At 4:25 he then looked at the most common categories by creating a sideways box plot. THe next portion of the video he looked at the distribution of prices per category using a Geom_boxplot(). He then converted the Saudi Riyal to USD around 9:05. Basically from there on out Dave kept improving upon his data by using librar, ggplots, geoms, and other functions. Around the 30:00 to 35:00 mark Dave transitioned to finding the data for the largest object by volume.
To keep this question from getting too long Dave would find information to create different plots to receive data in things like number of items, price, median, and categories.
Dave is obviously a professional who knows how to create and show someone like me what a person can do with data. It amazed me how fast and easy he made the process look. Something that stood out to me right away was how her created box plots to show the median cost for each category ar IKEA. This is something we learned to do within the first couple of weeks in class. I remember reading about how to create this kind of plot in the online textbook during one of the quizes and also helping someone wasn’t sure how to make it. I believe it was either quiz 2 or quiz 3.
A major finding was the cost difference between items and the various items they have within that category. The chart at 16:30 and 17:00 demonstrated the cost of an object, how many options there are, and if there are different colors of the object. 17:00 gives us a good idea of the median. I think this is a mojor fidning because it shows us exactly whats available and how every items in each category compares to one another. ## Q8 What is the most interesting thing you really liked about the analysis. I really enjoyed seeing the differnt kinds of charts that were used to display the data. He started out with a simple car graph and ended up cycling through multiple until Dave ended up a multi collord scatter plot at 59:50. ## Q9 Display the title and your name correctly at the top of the webpage.