Data Analysis - Python

Using colab

• what is colaboratory(Colab)?
  the environment where user can study data analysis using Python online(browser)

• why do we use colab?
  -don't need to install python
  -access everywhere when the internet is enabled)
  -faster than my computer

syntax

-similar to Java

1) Variable
can hold one value in one variable
if value is digit, they can do four basic operations( +, - , * , /)

2) List
can hold multiple values sequentially
When declaring individual variables for large number of values, using list can be helpful for managing them

list exercise

3) Dictionary
can hold multiple values
key:value pair structure

dictionary exercise

Using Pandas - data cleansing & data analysis at once

1) import Panda library
2) go and get data
3) read data

4) remove blank field
4-1) identify the number of null value

4-2) remove null value

var.head() - print the first 5 rows of the data 
( 5 - default/you can edit the number if needed)
var.isnull().sum() - identify the number of null values
var.dropna() -remove blank fields

5)analyze data - find out correlation

Using matplotlib - visualize the data

1) import matplotlib
2) draw graph

3) leave the part you will use for graph
3-1) specify the row to draw

4) remove unnecessary part of the graph

5) change to the bar graph

Exercise

+numpy
used to data operations
can calculate large amount of complex numbers
+seaborn
used for data visualization
has various style of graph

Today I learned

-how to read and analyze data using Python
-visualize data on the graph based on the analyzed data
-characteristics of the libraries