Intro to EDA
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.

In conducting EDA, always be skeptical as we will develop new instuition.

Be open mind in detecting data, and have summary of the data.