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- 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...
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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
88% of respondents would recommend this to a friend
Item #:
150087147
MNT 96710
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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
- It was complicated and took a lot of time Data analysis and visualization too Solved in seconds! 【Summary of this book】 This book uses ChatGPT prompts to explain efficient and high-quality analysis and visualization methods. By using this book, you can quickly and accurately derive analysis results for data analysis, which has previously required a huge amount of time and complex effort. It also touches on not only the analysis method but also the visualization process, so you can create beautiful and easy-to-understand graphs. 【Features of this book】 ・data analyst ・data scientist Specifically, the following people People who use Excel or Python to analyze data at work, but it takes time to analyze it, and they want to do it more efficiently ・People who want to improve the quality of analysis and visualization ・People who have experience analyzing data using Excel or Python, but whose procedures and programs are complicated and frustrating 【tools to use】 ・ChatGPT Plus: ChatGPT-4o (September ～ December 2024) Microsoft Excel 2024 Microsoft Edge 【Features of this book】 ・Understand highly accurate analysis methods ・Understand how to create beautiful graphs Understand how to synthesize/process multiple data 【Table of Contents】 Chapter1 The wonders of data analysis and visualization using ChatGPT Chapter 2 Basic usage and tips Chapter3 Advanced visualization method using Python Chapter4 Advanced visualization method using JavaScript Chapter5 Learn to synthesize multiple data (analysis of postal code and population data) Chapter6 Learn data processing (extracting local government names from addresses) Chapter7 Learn how to analyze correlations between data Chapter8 Learn visualization by automatically acquiring web information Chapter9 Learn how to safely analyze internal data Perform drawing with Chapter 10 PlantUML 【author profile】 Yo Shirabe New service explorer. While working in the IT industry, where new services are emerging like summer weeds, I am compiling a book about my research into services that have a promising future. Our creed is to understand things until we are satisfied with them, and then use many examples, illustrations, and metaphors to convey them to our readers in an easy-to-understand manner. Even in my past work experience, I have had many opportunities to perform data analysis, and I was overwhelmed by the wonders of data analysis using ChatGPT, so I wrote this book.
| 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?
-
Data Analysts
Designed for data analysts seeking to enhance their skills in data interpretation and visualization techniques effectively.
-
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.
Product Description
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Customer Questions & Answers
-
Question:
What types of data does this book focus on?
Answer: It focuses on real-world open data such as real estate transaction amounts and regional sports demographics. -
Question:
Is this book suitable for beginners in data analysis?
Answer: Yes, it provides clear explanations and methods that cater to both beginners and experienced analysts. -
Question:
What programming languages are covered in the book?
Answer: The book covers essential Python and JavaScript libraries used for data analysis and visualization.
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. **
Customer Reviews & Ratings
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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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MNT 96710
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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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