Deepti Kapadia
Set up chunk
Graph 1
Graph using geometric objects. I used the diamonds dataset for this graph. In the graph, I plotted the carat of the diamond on the x axis and the price on the y axis. The cut is depicted in different colours and the color of each diamond is depicted in different shapes.
## # A tibble: 53,940 x 10
## carat cut color clarity depth table price x y z
## <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
## 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
## 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
## 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
## 4 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
## 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
## 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
## 7 0.24 Very Good I VVS1 62.3 57 336 3.95 3.98 2.47
## 8 0.26 Very Good H SI1 61.9 55 337 4.07 4.11 2.53
## 9 0.22 Fair E VS2 65.1 61 337 3.87 3.78 2.49
## 10 0.23 Very Good H VS1 59.4 61 338 4 4.05 2.39
## # ... with 53,930 more rows
The colour and the carat of each diamond is plotted on this graph.
Graph 2
1.Graph using geometric objects.
I used the diamonds dataset for this graph. In the graph, I plotted the carat of the diamond on the x axis and the price on the y axis. The cut is depicted in different colours and the color of each diamond is depicted in different shapes.
## # A tibble: 53,940 x 10
## carat cut color clarity depth table price x y z
## <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
## 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
## 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
## 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
## 4 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
## 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
## 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
## 7 0.24 Very Good I VVS1 62.3 57 336 3.95 3.98 2.47
## 8 0.26 Very Good H SI1 61.9 55 337 4.07 4.11 2.53
## 9 0.22 Fair E VS2 65.1 61 337 3.87 3.78 2.49
## 10 0.23 Very Good H VS1 59.4 61 338 4 4.05 2.39
## # ... with 53,930 more rows
The colour and the carat of each diamond is plotted on this graph.
2. Plotting the map of Thane with restaurants and buildings.
In this map, I have shown the restaurants in pink and the roads in blue in Thane.
Graph 3
Network Graphs for Bojack Horseman. I created two datasets - one with nodes and the other with edges.The nodes dataset consists of the names, sex, species and job. The edges dataset consists of the number of times a conversation has taken place between each character has a conversation.
Reading the Data
## # A tibble: 16 x 5
## id name sex species job
## <dbl> <chr> <chr> <chr> <chr>
## 1 1 Bojack Horseman M Horse Actor
## 2 2 Princess Carolyn F Cat Agent
## 3 3 Todd Chavez M Human <NA>
## 4 4 Diane Nguyen F Human Ghostwriter
## 5 5 Mr. Peanubutter M Dog Actor
## 6 6 Herb Kazzaz M Human Director
## 7 7 Stuart M Human Assistant
## 8 8 Corduroy Jackson M Human Actor
## 9 9 Vincent M Human <NA>
## 10 10 Lenny Turteltaub M Turtle Producer
## 11 11 Kelsey Jannings F Human Director
## 12 12 Sebastian St.Clair M Tiger Philanthropist
## 13 13 Rutabaga M Rabbit Agent
## 14 14 Charley Witherspoon M Frog Agent
## 15 15 Beatrice Horseman F Horse <NA>
## 16 16 Butterscotch Horseman M Horse Novelist## # A tibble: 20 x 4
## from to weight type
## <dbl> <dbl> <dbl> <chr>
## 1 15 16 1 Family
## 2 15 1 3 Family
## 3 3 1 6 Friends
## 4 2 9 1 Friends
## 5 1 2 3 Professional
## 6 7 2 1 Professional
## 7 5 4 3 Friends
## 8 4 1 5 Professional
## 9 1 5 2 Friends
## 10 8 1 4 Professional
## 11 10 1 2 Professional
## 12 4 11 1 Professional
## 13 11 3 2 Friends
## 14 11 1 4 Professional
## 15 12 4 1 Professional
## 16 13 2 2 Professional
## 17 6 1 1 Friends
## 18 10 11 1 Professional
## 19 4 10 1 Professional
## 20 14 2 1 Professionalcreating the graph
## # A tbl_graph: 16 nodes and 20 edges
## #
## # An undirected simple graph with 1 component
## #
## # Node Data: 16 x 5 (active)
## id name sex species job
## <dbl> <chr> <chr> <chr> <chr>
## 1 1 Bojack Horseman M Horse Actor
## 2 2 Princess Carolyn F Cat Agent
## 3 3 Todd Chavez M Human <NA>
## 4 4 Diane Nguyen F Human Ghostwriter
## 5 5 Mr. Peanubutter M Dog Actor
## 6 6 Herb Kazzaz M Human Director
## # ... with 10 more rows
## #
## # Edge Data: 20 x 4
## from to weight type
## <int> <int> <dbl> <chr>
## 1 15 16 1 Family
## 2 1 15 3 Family
## 3 1 3 6 Friends
## # ... with 17 more rowsIn the graphs plotted below I have depicted the conversations had by the characters og Bojack Horseman in Season 2 episode 1. The thickness of each line connecting the names shows the amount of conversations they have had in that one episode. In the graph using ggraph I have specified their jobs.
Reflection
This workshop has been like a rollercoaster ride. There were many ups and downs. It started off with the basics but later on even though I was finding it a bit hard to keep up I am glad I still did. With each assignment I understood more and more as I made mistakes and thus had to go through many trial and error runs. This made every code chunk running without an error almost feel like an eureka moment The process was slow but I finally did manage to get along with R studio. Joining the class every morning while Arvind would blast music really kept me motivated somehow. Overall the entire class was something new as I had never ventured so deep into the digital world.