Showing results for "Pro Data Visualization using R and JavaScript German"

Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually.With the popularity of the R language, the art and practice of creating data visualizations is no longer th...

Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the res...

Communicate the data that is powering our changing world with this essential textThe advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘artificial intelligence,’ has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral p...

Create and publish your own interactive and compelling data visualizations with D3.js 4.xKey FeaturesBuild interactive and rich graphics and visualization using JavaScript\`s powerful library D3.jsLearn D3 from the ground up, using the all-new version 4 of the libraryGain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typingBook De...

Over 85 recipes to help you complete real-world data science projects in R and PythonKey Features\[\*\] Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data\[\*\] Get beyond the theory and implement real-world projects in data science using R and Python\[\*\] Easy-to-follow recipes will help you understand and implement the numerical computing conceptsBook DescriptionAs...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs a...

Get to grips with key data visualization and predictive analytic skills using R Key FeaturesAcquire predictive analytic skills using various tools of RMake predictions about future events by discovering valuable information from data using RComprehensible guidelines that focus on predictive model design with real-world dataBook DescriptionThis book is packed with easy-to-follow guidelines that explain the workings of the many...

Learn how to make optimum use of your BIM data using Dynamo to make better design decisions and create feature-rich dashboards using Power BI to track your model's data Key Features • A go-to guide for AEC professionals to analyze and manage their data • Explore popular use cases and best practices from experts around the world • Create efficient dashboards using Dynamo and Power BI Book Description Business intelligence software has rapidly spread its roots in the AEC industry during the ...

Key FeaturesBook DescriptionPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, bio...

Publisher s Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20. Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysisKey FeaturesUse the power of pandas 0.20 to solve most complex scientific computing problems with easeLeverage fast, robust data structures in pandas 0.20 to ...

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RKey FeaturesA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and RCombine Tableau analytics and visualization with the power of R using this step-by-step guideWondering how R can be used with Tableau? This book is your one-stop solution.Book Descr...

Transform maps and raw data into full-fledged web mapping applications using the power of the ArcGIS JavaScript API and JavaScript librariesKey FeaturesBook DescriptionESRI and its ArcGIS line of software have been an industry leader in digital map production and publication for over 30 years. ArcGIS Server lets you design, configure, and publish maps that can be viewed and edited through the Internet. After designing basic maps, you may want to find o...