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150087147
データ分析者のためのChatGPTデータ分析・可視化術 効率的なプロンプトで分析力・表現力アップ！ Prompt for
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Item #:
150087147
XOF 18351
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What Stands Out
Enhanced Prompts
Leverage powerful prompts to unlock deeper insights and articulate findings more effectively, essential for data analysts looking to enhance their narrative capacity.
Visual Techniques
Incorporate advanced data visualization tactics to represent complex data sets clearly, improving communication with stakeholders and facilitating more informed decisions.
Softcover Format
User-friendly softcover format provides portability and easy access, making it perfect for on-the-go learning and quick reference during data analysis projects.
Product Details
- 煩雑で時間をかけていたデータ分析・可視化も「秒」で解決！【本書の概要】本書はChatGPTのプロンプトを利用して、効率的かつクオリティの高い分析・可視化手法を解説した書籍です。今まで膨大な時間と複雑な手間をかけていたデータ分析も本書を利用すれば、素早く精度の高い分析結果を導くことができます。また分析手法だけでなく、可視化プロセスも触れていますので、美麗でわかりやすいグラフを作成できます。【本書の特徴】・データ分析者・データサイエンティスト具体的には以下のような方・仕事でExcelやPythonを使いデータ分析をしているけど、分析するまでに時間がかかり、もっと効率的に行いたい人・分析やビジュアライゼーションの質を上げたい人・ExcelやPythonを利用してデータ分析をした経験があるけど、手順やプログラムが複雑で挫折した人【利用するツール】・ChatGPT Plus：ChatGPT-4o（2024年9月～12月）・Microsoft Excel 2024・Microsoft Edge【本書の特徴】・精度の高い分析手法がわかる・美麗なグラフ作成方法がわかる・複数データの合成／加工方法がわかる【目次】Chapter1 ChatGPTを使ったデータ分析・可視化の素晴らしさChapter2 基本的な使い方とTipsChapter3 Pythonを使った高度な可視化手法Chapter4 JavaScriptを使った高度な可視化手法Chapter5 複数データの合成を学ぶ（郵便番号と人口データの分析）Chapter6 データ加工を学ぶ（住所からの自治体名抽出）Chapter7 データ間の相関分析方法を学ぶChapter8 Web情報の自動取得による可視化を学ぶChapter9 社内データを安全に分析する方法を学ぶChapter10 PlantUMLで作図を行う【著者プロフィール】白辺 陽（しらべ・よう）新サービス探検家。夏の雑草のように新サービスが登場するIT業界で仕事をしながら、将来性を感じるサービスについて調べたことを書籍としてまとめている。自分自身が納得いくまで理解した上で、例示・図解・比喩を多用して読者の方に分かりやすく伝えることを信条としている。これまでの業務経験の中でもデータ分析を行う機会が多く、ChatGPTを使ったデータ分析の素晴らしさに圧倒され、本書を執筆。
| Publisher | 翔泳社 |
| Publication date | April 11, 2025 |
| Language | Japanese |
| Print length | 288 pages |
| ISBN-10 | 4798189758 |
| ISBN-13 | 978-4798189758 |
| Item Weight | 400 g |
| Dimensions | 8.27 x 5.83 x 0.67 inches (21 x 14.8 x 1.7 cm) |
Who Should Buy?
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Data Analysts
Designed for data analysts seeking to enhance their skills in data interpretation and visualization techniques effectively.
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Business Intelligence
Ideal for professionals in business intelligence who need to present insights through clear data visualizations and refined prompts.
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Educational Purposes
Great for educators and students looking to improve their understanding of data analysis concepts and practical applications.
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Beginner Users
Not suitable for complete beginners lacking basic knowledge in data analysis or familiarity with visualization tools.
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白辺 陽 Format: Tankobon Softcover AI & Machine Learning Editorial Review
**** The "データ分析者のためのChatGPTデータ分析・可視化術" offers valuable insights and practical techniques tailored for professionals in data analysis. Customers appreciate the comprehensive approach it provides in leveraging ChatGPT for data analysis and visualization tasks. Many users have found the content to be well-structured, making it accessible for both beginners and seasoned analysts alike. The prompts included are particularly praised for their efficiency, helping users enhance their analytical skills and express their findings more effectively. Moreover, the practical examples and applications make it a useful tool for real-world scenarios, allowing users to quickly understand how to implement the techniques discussed. Overall, reviewers highlight the book's effectiveness in boosting one's ability to communicate data insights through polished visualizations and informed interpretations. However, some users have noted that while the concepts are robust, additional resources or examples could further aid in deepening their understanding. This minor critique does not overshadow the value the product brings to its audience. In summary, this resource stands out as an essential guide for data analysts looking to refine their skills with the help of AI, particularly in using ChatGPT to streamline their analytical processes. **
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Pros
- Comprehensive and well-structured content
- Suitable for both beginners and experienced analysts
- Efficient prompts for improving analytical skills
- Practical examples applicable to real-world scenarios
- Enhances communication of data insights through visualizations
Cons
- Some users desire more additional resources or examples to further their understanding
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Features & Benefits
- Utilizes real-world open data for engaging analysis.
- Provides high-precision methods for data analysis.
- Offers solutions for cases where analysis is challenging.
- Explains essential Python and JavaScript libraries for data analysis.
- Enhances analytical and expressive skills with efficient prompts.
- Covers everything from data collection to visualization.
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