Let's say you are planning to create an application to answer a business question. This is inherently mobile and cross-platform ready. Dash uses a simple reactive decorator for binding code to the UI. Dash output can be rendered in web browser and can be deployed to servers. It is easy to build a Graphical User Interface using dash as it abstracts all technologies required to build the applications. Dash’s frontend renders components using React.js. Dash applications are web servers running Flask and communicating JSON packets over HTTP requests. It is enterprise-ready and a first-class member of Plotly’s open-source tools. Dash is a Open-Source User Interface Python library for creating reactive, web-based applications. In this video, we are going to see an overview of Dash library. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash. ![]() You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. ![]() You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. This course will teach you to work with many Data Visualization tools and techniques. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. ![]() In this course you will learn many ways to effectively visualize both small and large-scale data. One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |