[Pluralsight / Reindert-Jan Ekker] Pandas Playbook: Manipulating Data ► Visualization [2018, ENG]

Pandas Playbook: Manipulating Data ► Visualization
Год выпуска: 2018
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/profile/author/reindertjan-ekker
Автор: Reindert-Jan Ekker
Продолжительность: 4h 26m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание:
Pandas is one of the most popular software packages for data analysis. This course focuses on the core functionalities of Pandas for data wrangling, teaching you how to tackle everyday tasks for a data analyst, or data scientist.
Pandas is not just one of the most popular software packages for data analysis, it is also, without a doubt, the most convenient and fun way to work with your data. In this course, Pandas Playbook: Manipulating Data, you will cover the most important core functionalities of Pandas, focusing on the core functionalities of the two main Pandas classes: the DataFrame and the Series. First, you will take a look at a new dataset and try to get a feeling for it - how many rows and columns are there? What datatypes does it consist of? You will do some basic statistical exploration as well. Then, you'll focus on getting information out of your dataset. Basically, it's about asking the right questions and drilling down into your dataset. Finally, you will learn how to clean and transform your data. Here, you will see how to run Python functions against our data, including functions we write ourselves by using a very cool and powerful feature called groupby() - changing the structure of our columns and rows, and combining multiple dataframes into one. After watching this course, you will be ready for just about any data wrangling job that you might come across.

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Pandas is one of the most popular data analysis libraries for Python. In this course, you will learn how to create a wide range of plots for your data, and how to customize them to make them both attractive and informative for your audience.
At some point when you are working with a dataset, you will want to make the properties of that dataset visible in a graphical way. This is a core skill for every data scientist or data engineer. In this course, Pandas Playbook: Visualization, you’ll learn how to create a large variety of beautiful plots with Pandas, one of the most popular data analysis libraries for Python. First, you'll learn the very basics of plotting with pandas, learning how to prepare your dataset for plotting, and how to create common plots like a bar, line, and scatter plot. Next, you will explore matplotlib, the Python library that generates the actual graphics, how this interacts with Pandas, and how to use it correctly. Then, you will go more in-depth and learn about all the ways to customize your plots, including line styles, colors and themes, customizing axes and legends, creating interactive plots, and much more. Finally, you will see a short overview of two other visualization libraries that can be used with Pandas: Seaborn, which is focused on statistical plotting, and Bokeh, which can create interactive visuals for the web. After watching this course, you’ll have a deep understanding of all possible ways you can use Pandas to visualize your data. You'll know how to write efficient and clear code that creates beautiful plots, following best practices. This course will also make you more proficient in exploring datasets and communicating your results with others.
Related topics:

[Pluralsight / Paweł Kordek] Pandas Fundamentals | Advanced Pandas [2018, ENG]

Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 30fps, 125 kb/s
Аудио: AAC, 44.1 kHz, 72.0 kbit/s, 2 channels