analysis.md

title	output
Session 1	html_document

Note: This is written using Rmarkdown. You can produce HTML and Pdf documents using Rmarkdown and Rstudio. Think documentation, reports, ppt.

The dataset we will work on today is a fun dataset. IMDB Movies. Please go ahead and download the data folder in your project directory. Download from here

Read the data

Common formats I know about in Biology - Flat files - tsv, csv, txt, , xlsx/xls You don't have Databases SQL, JSON etc..

###Two recommended packages

1. readr and read_xl for readability and concise
2. data.table::fread for performance and consistency

library(readr)
titles_df = read_csv("data/titles.csv")
cast_df = read_csv("data/cast.csv")

## 
|================================================================================| 100%  186 MB

rel_dates_df <- read_csv("data/release_dates.csv")

That was easy right!

-Please note the <- and = assignments. Lets talk! But in practical use cases choose either. -<<- parent scope and <- local scope

str(rel_dates_df)

## Classes 'tbl_df', 'tbl' and 'data.frame':	409012 obs. of  4 variables:
##  $ title  : chr  "#73, Shaanthi Nivaasa" "#AnonOccupy: Bio of a Villain" "#Beings" "#Ewankosau saranghaeyo" ...
##  $ year   : int  2007 2015 2015 2015 2014 2014 2014 2014 2015 1971 ...
##  $ country: chr  "India" "USA" "Romania" "Philippines" ...
##  $ date   : Date, format: "2007-06-15" "2015-11-05" ...

head(rel_dates_df)

##                           title year     country       date
## 1         #73, Shaanthi Nivaasa 2007       India 2007-06-15
## 2 #AnonOccupy: Bio of a Villain 2015         USA 2015-11-05
## 3                       #Beings 2015     Romania 2015-01-29
## 4        #Ewankosau saranghaeyo 2015 Philippines 2015-01-21
## 5            #Nerealnaya lyubov 2014      Russia 2014-02-13
## 6                        #Stuck 2014      Turkey 2014-07-01

This is the structure command to look at meta deta for your data. We need to understand common data types in R

• Atomic Vectors

  • Boolean
  • Numeric

• Matrices and array ()

• Lists (trivial and common data strucure)

• Factors

• Dataframe

library(ggplot2)
qplot(rel_dates_df$year)

## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.