Week 2: Learning Log
Victoria Widjaja
27/02/21
My Coding Goals this Week
My goals this week were to work through the data visualisation modules and attempt to insert equations.
I did not think I would be able to complete the data wrangling modules due to being inundated with work from my other courses too. I put it on my to-do list just in case though!
Challenges & Successes
Successes
Inserting equations! The formula for the associative strength \(V\) at time \(t+1\) is given by: \[ V^{t+1} = V^{t} +\Delta V \]
where \(\Delta V\) is given by
\[ \Delta V = \alpha \beta (\lambda - V_{tot}) \]
I successfully created the plot with the data from the data visualisation modules. I changed the variables on the plot to have displ on the x axis and cty on the y axis. I also changed the colour of the dots according to the year of each car. Same like the module videos, I added a smooth curve.
# load the packages I need
library(tidyverse)
# draw the plot that I want
picture <- ggplot(
data = mpg,
mapping = aes(x = displ, y = cty)
) +
geom_point(mapping = aes(colour = factor(year))) +
geom_smooth()
# print the ggplot object
print(picture)
Challenges
I did not have any difficulties inserting the equations. However, it took me an hour (yikes) to figure out how to insert the plot I made into RMarkdown.
I got a little lost throughout the last data visualisation video, as the level of coding seemed to get increasingly complicated.
Next Steps
My goals for next week are to complete the data wrangling module! I want to be more proficient in creating plots and make less errors. I would like to start the modules earlier in the week so I can dedicate more time to coding! I need to also prioritise my to-do list so I know when things are due and don’t rush to do things last minute.
- Data wrangling module
- Make less errors
- Use the internet to help become more proficient in creating plots
- Make different kinds of graphs