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[KO-korean] 2. Working-With-Data translation#167

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paladique merged 20 commits intomicrosoft:mainfrom
choipureum:main
Dec 14, 2021
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[KO-korean] 2. Working-With-Data translation#167
paladique merged 20 commits intomicrosoft:mainfrom
choipureum:main

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@choipureum choipureum commented Oct 6, 2021 •
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  • Working with Data base README
    • Relational Databases README
    • Non-Relational Data README
    • Python README
    • Data Preparation README

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ko: Working-With-Data base README
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@choipureum choipureum marked this pull request as draft October 6, 2021 09:12
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choipureum and others added 15 commits October 7, 2021 15:21
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Merge branch 'microsoft:main' into main
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ko: Relational Databases README(1)
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Merge branch 'microsoft:main' into main
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Merge branch 'microsoft:main' into main
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ko: Relational Databases README(2)
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ko: fix Relational Databases README(2)
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Fix typo
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Merge branch 'microsoft:main' into main
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ko:06-non-Relational README(1)
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Merge branch 'main' of https://github.com/choipureum/Data-Science-For…
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…-Beginners into main
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Merge branch 'microsoft:main' into main
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ko:06-non-Relational README(2)
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ko:07-python README(1)
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ko:07-python README(2)
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ko:08-data-preparation README
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@choipureum choipureum marked this pull request as ready for review December 9, 2021 02:44
@choipureum choipureum changed the title [WIP] [KO-korean] 2. Working-With-Data translation [KO-korean] 2. Working-With-Data translation Dec 9, 2021
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paladique requested changes Dec 13, 2021
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Thank you so much for your contribution to cover the lessons in this section! We're very close to merging but before we do, I added some comments for you to check where the links are pointing to. Let us know when you're done.

2-Working-With-Data/translations/README.ko.md Outdated

### 주제

1. [관계형 데이터베이스](05-relational-databases/README.md)
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these links can be updated to Readme.ko.md thanks to your translations 🙂

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I changed them all to Korean files too

2-Working-With-Data/08-data-preparation/translations/README.ko.md Outdated



원본에 따라 원시 데이터에는 분석 및 모델링에 문제를 일으킬 수 있는 일부 불일치 요소가 포함될 수 있습니다. 즉, 이 데이터는 "더티"로 분류될 수 있으며 사전에 처리해야 합니다. 이 단원에서는 누락, 혹은 부정확하거나 불완전한 데이터의 문제를 처리하기 위해 데이터를 정리하고 변환하는 기술에 중점을 둡니다. 이 강의에서 다루는 주제는 Python과 Pandas 라이브러리를 활용하며 이 디렉토리의 [notebook](notebook.ipynb)에서 시연됩니다.
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you can point the link to this notebook to the english one

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@choipureum choipureum Dec 13, 2021

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Thanks for the quick review. This part has been corrected..! 😀

2-Working-With-Data/08-data-preparation/translations/README.ko.md Outdated
## DataFrame 정보 탐색
> **학습 목표:** 하위 섹션이 끝날때까지, pandas DataFrame에 저장된 데이터에 대한 정보를 능숙하게 찾을 수 있을 것입니다.

데이터를 pandas에 로드하면 DataFrame에 없을 가능성이 더 높아집니다(이전 [단원](https://github.com/microsoft/Data-Science-For-Beginners/tree/main/2-Working-With-Data/07-python#dataframe) 참조. 그러나 DataFrame에 있는 데이터셋에 60,000개의 행과 400개의 열이 있는 경우). 다행스럽게도 [pandas](https://pandas.pydata.org/)는 처음 몇 행과 마지막 몇 행 외에도 DataFrame에 대한 전체 정보를 빠르게 볼 수 있는 몇 가지 편리한 도구를 제공합니다.
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you can point this link to the Korean version now :)

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@choipureum choipureum Dec 13, 2021

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I changed it to a Korean file. 😀

@choipureum choipureum requested a review from paladique December 13, 2021 23:53
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fix link
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Fix link(2)
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@paladique paladique merged commit e3ac4d0 into microsoft:main Dec 14, 2021
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