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UniPublic

Uni related public resources and notes.

Notice that all the notes including Math equation were written in and supported by Typora (cross platform).

Highly recommend using Typora to read the notes for the best experience and make sure you enable all the syntax support.

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There is also a work around for the Latex rendering in github if using the doc online is more preferrable, which a Google Chrome plugin may help on this. https://chrome.google.com/webstore/detail/mathjax-plugin-for-github/ioemnmodlmafdkllaclgeombjnmnbima/related

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unipublic's Issues

Lecture 1 extra contents

Why is data wrangling useful ? (from lecture slides)

  • Most of the efforts in Data Science is to do with data wrangling (80%).
    Analyse Data(<20%), Present, Deploy and Communicate results(<20%)
  • Data is very useful in different domains (Health, government, business, online Education, physics, Social Science, Economics etc.

What activities it encompasses? (from "post" link on STUDY GUIDE document)
- Structuring
Structuring is needed because data comes in all shapes and sizes. (不是很懂..:/)

- Enrichment
   In other words, enrichment is often about joins and complex derivations (like convolutions and 
   converting a time stamp to a day of week).

- Publishing
  Publishing refers to planning for and delivering the output of your data wrangling efforts for 
  downstream project needs (like loading the data in a particular analysis package) or for future project 
  needs (like documenting and archiving transformation logic)

剩下的storing, aggregation 也没有给出定义,可能在接下面的lecture slides 里面

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