Intro to EDA
Intro to EDA
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EDA: Exploratory Data Analysis
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ubiquitous: can explain everything from data
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Data and Analysis is directly correlated. We have to someway analyze our data
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By doing analysis we can make predictive model
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Have insight and take good question about our data.
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Defend agains bad data, wrangling, and cleaning the data.
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Make a better visualization to present to larger part of audience.
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Data Analyzis can benefit as follows:
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Win competition
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Has data reasoning
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Improve communication
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and extend our carreer.
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n9lHW/IyZLKWO6wByQpwf0avaxeTrD5lHDz0jJqz8mfE5VxhLH8OTx9C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%0AthRRRQI//9k=)
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investigate what's interesting
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dig what's more interesting
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The goal is have an impact so the world have an understand better.
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how to represent mindset.
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Aude once use conditional probability from given hometown, what is the probabilty of they're moving to another city.
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Then she found out that most likely, we still live in our hometown
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But in certain cases, things are different. So she investigate it with different approach.
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contiditionalprob iven hometown what people in particular city.
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city most likely still your homewtown.
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certain cases, have different high prob. she curios and take different approach
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She is fascinating to see pattern particular cities, in some countries, not necesssary expecting that.
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She saw that the distribution of people living in same city is very flat.
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When looking at the data, we may want to choose at the world scale, to give better intuition.
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She back then only choose US data, but take different approach by observe world scale.
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develop intuition about how data exists
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By doing that we can select which features is the most significant, and what statistical tool to build our predictive model.
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In conducting EDA, always be skeptical as we will develop new instuition.
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Be open mind in detecting data, and have summary of the data.