Intro to EDA

EDA: Exploratory Data Analysis
ubiquitous: can explain everything from data
Data and Analysis is directly correlated. We have to someway analyze our data
By doing analysis we can make predictive model
Have insight and take good question about our data.
Defend agains bad data, wrangling, and cleaning the data.
Make a better visualization to present to larger part of audience.
Data Analyzis can benefit as follows:
- Win competition
- Has data reasoning
- Improve communication
- and extend our carreer.

investigate what's interesting
dig what's more interesting
The goal is have an impact so the world have an understand better.
how to represent mindset.
Aude once use conditional probability from given hometown, what is the probabilty of they're moving to another city.
Then she found out that most likely, we still live in our hometown
But in certain cases, things are different. So she investigate it with different approach.
contiditionalprob iven hometown what people in particular city.
city most likely still your homewtown.
certain cases, have different high prob. she curios and take different approach
She is fascinating to see pattern particular cities, in some countries, not necesssary expecting that.
She saw that the distribution of people living in same city is very flat.
When looking at the data, we may want to choose at the world scale, to give better intuition.
She back then only choose US data, but take different approach by observe world scale.

develop intuition about how data exists
By doing that we can select which features is the most significant, and what statistical tool to build our predictive model.