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所在平台: Udemy |
课程主页: https://www.udemy.com/course/plotly-library-tips-exploratory-data-analysis/
课程评论：没有评论
**课程名称：** Plotly 库技巧：探索性数据分析 **课程概述：** 本课程专为初学者和希望提升技能的专业人士设计，旨在深入学习 Plotly——全球最受欢迎的 Python 库之一。通过案例研究，您将学会如何从数据中提取有意义的见解。课程提供关于当今最强大数据分析工具集的视频教程。 **为何学习使用 Python 进行数据分析和洞察可视化？** 如果您熟悉 Microsoft Excel、Google Sheets 等电子表格软件，或者处理过数据库表、分隔文件或 CSV 文件等表格数据，并渴望借助 Python 提升数据分析能力，那么本课程非常适合您！ **Plotly Python 开源绘图库：** Plotly 的 Python 绘图库可以创建交互式、出版级质量的图形。课程内容涵盖如何绘制线图、散点图、面积图、条形图、误差线图、箱线图、直方图、热力图、子图、多轴图、极坐标图和气泡图等。Plotly Python 库是一个交互式的开源库，它是数据可视化和轻松理解数据的有力工具。Plotly Graph Objects 提供了易于使用的 Plotly 高级接口，可以绘制各种图形和图表，例如散点图、线图、条形图、箱线图、直方图、饼图等。 **为何选择 Plotly 而非其他可视化工具或库？** * **悬停工具功能：** 允许检测大量数据点中的异常值或不规范之处。 * **视觉吸引力：** 能够被广泛的受众接受。 * **无限自定义：** 提供对图形的无限自定义能力，使您的图表更有意义且易于理解。 **本课程将教授您如何使用 Plotly 进行可视化。**
Welcome to the Plotly library Tips exploratory data analysis course! An excellent choice for beginners and professionals looking to expand their knowledge on one of the most popular Python libraries in the world i.e plotly library. This course includes case study for drawing meaningful insights out of given data. Plotly library Tips exploratory data analysis course offers video tutorials on the most powerful data analysis toolkit available today.Why learn Data Analysis and Insights Visualization using Python?If you've spent time in a spreadsheet software like Microsoft Excel, Google Sheets or any form of tabular data such as database tables, delimited files or csv files and are eager to take your data analysis skills to the next level using python, this course is for you!Plotly Python Open Source Graphing LibraryPlotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.The Plotly Python library is an interactive open-source library. This can be a very helpful tool for data visualization and understanding the data simply and easily. plotly graph objects are a high-level interface to plotly which are easy to use. It can plot various types of graphs and charts like scatter plots, line charts, bar charts, box plots, histograms, pie charts, etc.So you all must be wondering why plotly over other visualization tools or libraries? Here's the answer -Plotly has hover tool capabilities that allow us to detect any outliers or anomalies in a large number of data points.It is visually attractive that can be accepted by a wide range of audiences.It allows us for the endless customization of our graphs that makes our plot more meaningful and understandable for others.So in this course you will get to learn visualization using the plotly library
