Matches in SemOpenAlex for { <https://semopenalex.org/work/W3003227788> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W3003227788 abstract "Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of PythonKey FeaturesStudy and use Python interactive libraries, such as Bokeh and PlotlyExplore different visualization principles and understand when to use which oneCreate interactive data visualizations with real-world dataBook DescriptionWith so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.What you will learnExplore and apply different static and interactive data visualization techniquesMake effective use of plot types and features from the Matplotlib, Seaborn, Altair, Bokeh, and Plotly librariesMaster the art of selecting appropriate plotting parameters and styles to create attractive plotsChoose meaningful and informative ways to present your stories through dataCustomize data visualization for specific scenarios, contexts, and audiencesAvoid common errors and slip-ups in visualizing dataWho this book is forThis book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas." @default.
- W3003227788 created "2020-02-07" @default.
- W3003227788 creator A5010646067 @default.
- W3003227788 creator A5025281874 @default.
- W3003227788 creator A5033807547 @default.
- W3003227788 date "2021-10-12" @default.
- W3003227788 modified "2023-09-23" @default.
- W3003227788 title "Interactive Data Visualization with Python" @default.
- W3003227788 hasPublicationYear "2021" @default.
- W3003227788 type Work @default.
- W3003227788 sameAs 3003227788 @default.
- W3003227788 citedByCount "0" @default.
- W3003227788 crossrefType "book" @default.
- W3003227788 hasAuthorship W3003227788A5010646067 @default.
- W3003227788 hasAuthorship W3003227788A5025281874 @default.
- W3003227788 hasAuthorship W3003227788A5033807547 @default.
- W3003227788 hasConcept C107457646 @default.
- W3003227788 hasConcept C121684516 @default.
- W3003227788 hasConcept C124101348 @default.
- W3003227788 hasConcept C136764020 @default.
- W3003227788 hasConcept C172367668 @default.
- W3003227788 hasConcept C185578843 @default.
- W3003227788 hasConcept C199360897 @default.
- W3003227788 hasConcept C2522767166 @default.
- W3003227788 hasConcept C36464697 @default.
- W3003227788 hasConcept C41008148 @default.
- W3003227788 hasConcept C519991488 @default.
- W3003227788 hasConcept C59732488 @default.
- W3003227788 hasConcept C64073096 @default.
- W3003227788 hasConceptScore W3003227788C107457646 @default.
- W3003227788 hasConceptScore W3003227788C121684516 @default.
- W3003227788 hasConceptScore W3003227788C124101348 @default.
- W3003227788 hasConceptScore W3003227788C136764020 @default.
- W3003227788 hasConceptScore W3003227788C172367668 @default.
- W3003227788 hasConceptScore W3003227788C185578843 @default.
- W3003227788 hasConceptScore W3003227788C199360897 @default.
- W3003227788 hasConceptScore W3003227788C2522767166 @default.
- W3003227788 hasConceptScore W3003227788C36464697 @default.
- W3003227788 hasConceptScore W3003227788C41008148 @default.
- W3003227788 hasConceptScore W3003227788C519991488 @default.
- W3003227788 hasConceptScore W3003227788C59732488 @default.
- W3003227788 hasConceptScore W3003227788C64073096 @default.
- W3003227788 hasLocation W30032277881 @default.
- W3003227788 hasOpenAccess W3003227788 @default.
- W3003227788 hasPrimaryLocation W30032277881 @default.
- W3003227788 hasRelatedWork W2295900847 @default.
- W3003227788 hasRelatedWork W2311937240 @default.
- W3003227788 hasRelatedWork W2460999112 @default.
- W3003227788 hasRelatedWork W2537472606 @default.
- W3003227788 hasRelatedWork W2747840490 @default.
- W3003227788 hasRelatedWork W2748292695 @default.
- W3003227788 hasRelatedWork W2758334112 @default.
- W3003227788 hasRelatedWork W2761048258 @default.
- W3003227788 hasRelatedWork W2803657496 @default.
- W3003227788 hasRelatedWork W2890741686 @default.
- W3003227788 hasRelatedWork W2976735527 @default.
- W3003227788 hasRelatedWork W2980625652 @default.
- W3003227788 hasRelatedWork W3001235209 @default.
- W3003227788 hasRelatedWork W3157685554 @default.
- W3003227788 hasRelatedWork W3161591992 @default.
- W3003227788 hasRelatedWork W3162149541 @default.
- W3003227788 hasRelatedWork W3187031798 @default.
- W3003227788 hasRelatedWork W3193321391 @default.
- W3003227788 hasRelatedWork W3193566184 @default.
- W3003227788 hasRelatedWork W3199503021 @default.
- W3003227788 isParatext "false" @default.
- W3003227788 isRetracted "false" @default.
- W3003227788 magId "3003227788" @default.
- W3003227788 workType "book" @default.