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42065075
Data Visualization: The Ultimate Guide to Data Visualization Using Python
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Item #:
42065075
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This book is a perfect guide for people who are interested to work in the data science field.
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What Stands Out
Comprehensive Coverage
This guide provides an in-depth look at data visualization techniques using Python, catering to both beginners and experienced users while ensuring accessibility and understanding of complex data concepts.
Practical Examples
Offers hands-on practical examples that illustrate real-world applications of data visualization, helping users to easily grasp and implement techniques in their projects for impactful data storytelling.
Up-to-date Content
Published in 2021, this guide reflects the latest trends and tools in Python data visualization, ensuring readers are equipped with current methods and knowledge to excel in data analysis.
Product Details
- This book is a perfect guide for people who are interested to work in data science field or who are already working in this field. Every data scientist has to work with data and data are available in various formats. Most of the time that a data scientist spends is on data preperation. This includes data cleaning and visualization. This book describes:- different data visualization techniques which are used by a data scientist - implemetation detail using Python- describe when to use which visualization technique- what the graph tells about the data- what type of models should be used based on the visual results
| Publisher | Independently published |
| Publication date | October 11, 2021 |
| Language | English |
| Print length | 49 pages |
| ISBN-13 | 979-8490586180 |
| Item Weight | 4 ounces (113.4 grams) |
| Dimensions | 5.5 x 0.12 x 8.5 inches (14 x 0.3 x 21.6 cm) |
Who Should Buy?
-
Aspiring Data Analysts
Provides essential skills in Python for analyzing and visualizing data effectively, enhancing career opportunities.
-
Python Enthusiasts
Ideal for those wanting to deepen their Python knowledge with a focus on practical applications in data visualization.
-
Students and Educators
Useful resource for students learning data science concepts, offering a structured approach to visualizing data.
-
Beginners to Programming
Those without any programming background may find the content challenging and difficult to grasp.
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Pros
- Clear and comprehensive explanations
- Practical examples and exercises
- Suitable for all skill levels
- Well-structured content
- Engaging writing style
Cons
- Occasional typos found in text.
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Features & Benefits
- Essential for aspiring and current data scientists.
- Covers various data visualization techniques.
- Includes practical implementation details using Python.
- Guides on choosing the right visualization technique.
- Explains insights from graphs and data.
- Helps in understanding model selection based on visual results.
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