Swagat Paul

Introduction

Swagat Paul
Following are some of the graphs I created and explored different qualities of during a coding workshop.

The Graphs

My first two graphs are from T5 and were based on the msleep dataset which contained information on various animals

##  [1] "name"         "genus"        "vore"         "order"        "conservation"
##  [6] "sleep_total"  "sleep_rem"    "sleep_cycle"  "awake"        "brainwt"     
## [11] "bodywt"
## # A tibble: 6 x 11
##   name    genus vore  order conservation sleep_total sleep_rem sleep_cycle awake
##   <chr>   <chr> <chr> <chr> <chr>              <dbl>     <dbl>       <dbl> <dbl>
## 1 Cheetah Acin~ carni Carn~ lc                  12.1      NA        NA      11.9
## 2 Owl mo~ Aotus omni  Prim~ <NA>                17         1.8      NA       7  
## 3 Mounta~ Aplo~ herbi Rode~ nt                  14.4       2.4      NA       9.6
## 4 Greate~ Blar~ omni  Sori~ lc                  14.9       2.3       0.133   9.1
## 5 Cow     Bos   herbi Arti~ domesticated         4         0.7       0.667  20  
## 6 Three-~ Brad~ herbi Pilo~ <NA>                14.4       2.2       0.767   9.6
## # ... with 2 more variables: brainwt <dbl>, bodywt <dbl>
## # A tibble: 6 x 11
##   name    genus vore  order conservation sleep_total sleep_rem sleep_cycle awake
##   <chr>   <chr> <chr> <chr> <chr>              <dbl>     <dbl>       <dbl> <dbl>
## 1 Tenrec  Tenr~ omni  Afro~ <NA>                15.6       2.3      NA       8.4
## 2 Tree s~ Tupa~ omni  Scan~ <NA>                 8.9       2.6       0.233  15.1
## 3 Bottle~ Turs~ carni Ceta~ <NA>                 5.2      NA        NA      18.8
## 4 Genet   Gene~ carni Carn~ <NA>                 6.3       1.3      NA      17.7
## 5 Arctic~ Vulp~ carni Carn~ <NA>                12.5      NA        NA      11.5
## 6 Red fox Vulp~ carni Carn~ <NA>                 9.8       2.4       0.35   14.2
## # ... with 2 more variables: brainwt <dbl>, bodywt <dbl>
## [1] 83 11

Graph 1

Graph 2

Graph 3

These graphs reflected on the sleeping and waking patterns of different kinds of animals. I found this dataset interesting as a whole and it was fun to play around with the different attributes.

My Course Reflection

This course was about exploring and visualing data and it’s different forms, using code.

What I learnt - I learnt how to be patient and not get frustated every 30 seconds when a chunk of code didn’t work. I can’t say I was very successful but there were several attempts made. I also learnt that coding and myself might not be a good fit, but much like a dysfunctional relationship, I scraped by and held on till the end.

How it will help my practice as an aspiring artist and designer - I do think it helped me see data analysis in a new light and how it could be used to form interesting visuals.

Arvind is a wonderful teacher and person, possibly one of the coolest teachers I’ve met. And he likes cats! His personality and humour were the reason I could bear the fearful being that is coding. I would love to know him in real life and attend more of his classes, provided they aren’t remotely related to code. Perhaps order and chaos would be a better fit for me.

thank you.