#plotly

Plotly for Data Science📊 It is a powerful & versatile #datavisualization library used by #DataScience professional to create interactive & visually appealing plots charts & graph #Plotly enables users to represent complex datasets in a graphical form

Sign up for the next @RStudio Webinar on adding advanced interactivity to your shiny app with #plotly and event_data(). "Accessing and responding to plotly events in Shiny" with Carson Sievert Reserve your spot now: #rstats

Super excited to show some brand-new #rstats+#shiny+#plotly developments and examples in tomorrow's @rstudio webinar. Preview of slides: Reserve a seat:

Working on some data visualization tools in Python for a class and thinking about University Endowments. Data from NACUBO. #treemap #plotly

PyCharm Pro now has full support for both static and JavaScript-based outputs used by popular scientific libraries such as #Plotly, Bokeh, #Altair, ipywidgets, and more.

Plotlyのrangesliderオプションで、グラフの下にスライダーを表示させることができます。 時系列データの時間方向のズームやパンがやりやすくなります。 公式ドキュメント #Python #Plotly #可視化

plotly_ex version 0.3 just released. plotly_ex is an Elixir bindings library for the Plotly ( library: #myelixirstatus #plotly

I do love a good cheat sheet: “Plotly R Cheat Sheet” by @plotlygraphs #rstats #dataviz #plotly

We talk a lot about “the power of Dash”. That’s why we love seeing our #Plotly community put it to the test. 💪💙 Read Kay Jan Wong’s tips in @TDataScience to enhance initial skeleton code, advancing to professional #dashboard with #Python and #Dash.

⚽️ Introducing pitchly, a python package for visualizing football/soccer tracking and event data! 📊 pitchly works as a wrapper for #plotly under the hood & currently supports @MetricaSports data format. ⏯️ Give it a go! 📖 Docs:

I love a good cheat sheet: “Plotly R Cheat Sheet” by @plotlygraphs #rstats #dataviz #plotly

heatmaply: an #Rstats pkg for creating interactive #plotly cluster #heatmaps (orig paper: )

Check 3.0: fast rendering of big datasets, integration with #Jupyter notebooks... #plotly #python

🚀 Updated my very first @streamlit app - "PubLit" - Now, uses @OpenAI #gpt3 to look for relevant scientific background based on the publication's title - Summarise the abstract - Visualization with newly added Streamlit supported #plotly theme 📌App-

Map design with #QGIS and #Plotly with variables for map colors, charts, titles and even SVG #storyset illustrations. Here’s the result! @qgis #Dataplotly

Plotly is one of the finest data visualization tools available built on top of visualization library D3.js, HTML and CSS - let's learn how to use #Plotly library in #R & #Python to create beautiful, interactive data #visualizations!!!

Multiple examples of how to add data labels to the column or bar chart in #rstats using the #ggplot2 or #plotly packages. #dataviz

A jitter plot in #rstats makes it easier to view overlapping data points by categories. Here is how to create that with #ggplot2, #plotly, and base. #DataVisualization #dataviz

If you are interested in learning how to do #Python (wrangling, plotting/mapping, modelling), using tools such as #geopandas, #plotly, #pykrige, etc., check out @TBeuzen - his teaching materials are gold!

Uploaded a short "crash course" on #geospatial analysis with #Python (wrangling, plotting/mapping, modelling), using tools such as #geopandas, #plotly, #pykrige, etc., for anyone interested! Written in #Jupyter notebooks and compiled with #JupyterBook!

🕛 Tenes 3 horas 👉 y queres aprender hacer tus primeras visualizaciones con R con #ggplot 📊 y #plotly📊... entonces te recomendamos este curso online que dimos con @karbartolome y @Juan_MGago en @eanttech 👇