Open Dataset
Data Structure ?
0M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
## 背景
データサイエンスの初心者から、RとPythonのどちらに学習を集中すべきかという質問をよく受けます。両言語にはそれぞれ長所と短所があります。どちらも使える場合、個人の好みにおける重要な要素は、専用ツールがどれだけ好きかということだと思います。(Rは統計と可視化に特化していますが、Pythonはより汎用的です。)この傾向が、専用ツールを選択できる別の分野、つまり料理にも当てはまるのか疑問に思いました。
## 内容
このデータセットには、185人が回答した2問のアンケート結果が含まれています。アンケートの質問は以下の通りです。
PythonとR、どちらが好きですか?
* Python
* R
専用のキッチン用品(例:野菜ピーラー、卵スライサー、専用のナイフなど)についてどう思いますか?
* 嫌い
* 好き
## 謝辞:
このデータセットは公共ドメインとして公開されています。回答してくれたすべての参加者の皆様、ありがとうございます!
## 着想:
RとPythonの好みと、キッチン用品の好き嫌いにはどのような関係があるのでしょうか?
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IV. Infringement and Handling Explanation:
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.