2 Foundations of Accounting Data

2.1 Types of Accounting Data

2.2 Data Sources and Collection Methods

2.3 Data Quality & Integrity

summary, this book has no content whatsoever.

1 + 1

[1] 2

plot(mtcars[1:3])

See Figure 2.1 for first ggplot graph

library(tidyverse)
mtcars %>% 
  as_tibble() %>% 
  ggplot(mapping = aes(x = mpg, y = disp))+
  geom_point()+
  geom_smooth()+
  labs(x = 'Miles Per Gallon (mpg)',
       y = 'Displacement in Cubic Inches (disp)')

Figure 2.1: Scatter plot and line plot of the relation between `mpg` and `disp`

library(lubridate)

import os
import sys
sys.version

'3.11.1 (tags/v3.11.1:a7a450f, Dec  6 2022, 19:58:39) [MSC v.1934 64 bit (AMD64)]'

for x in os.listdir():
  print (x)

.git
.gitattributes
.gitignore
.quarto
.README.md.swp
.README_BASE_1260.md.swp
.README_LOCAL_1260.md.swp
.README_REMOTE_1260.md.swp
accounting_analytics_book
advanced_analytics.qmd
chapter1_solution.qmd
chapter2_solution.qmd
cover.png
dashboard.qmd
data_management.qmd
eda.qmd
ethics.qmd
foundations.qmd
foundations.rmarkdown
foundations_files
fraud.qmd
future.qmd
images
index.html
index.qmd
intro.qmd
machine_learning.qmd
nlp.qmd
overview.html
overview.qmd
performance_measurement.qmd
predictive.qmd
prescriptive.qmd
python_basics.qmd
README.html
README.md
README_files
references.bib
references.qmd
requirements.txt
r_basics.qmd
site_libs
visualization.qmd
visualization_files
_book
_quarto.yml