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Data Visualization: The Ultimate Guide to Data Visualization Using Python
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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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Detalji o proizvodu
- 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?
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Aspiring Data Analysts
Provides essential skills in Python for analyzing and visualizing data effectively, enhancing career opportunities.
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Python Enthusiasts
Ideal for those wanting to deepen their Python knowledge with a focus on practical applications in data visualization.
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Students and Educators
Useful resource for students learning data science concepts, offering a structured approach to visualizing data.
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Beginners to Programming
Those without any programming background may find the content challenging and difficult to grasp.
OPIS PROIZVODA
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Odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome šta ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave se spominje prilikom naplate, stoga budite bezbrižni prilikom kupovine.
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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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Karakteristike i prednosti
- 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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