#plotly

#Plotly works as expected in #SharePoint... Nice!

#Python Friday #193: Choosing Colours for #Plotly

https://improveandrepeat.com/2023/09/python-friday-193-choosing-colours-for-plotly/

Sharing the first version of an SEO audit and analysis template in #Python, #advertools, #pandas, #networkx, & #plotly

🔵 Notebook meant to be a starting point
🔵 Low code, highly customizable
🔵 Can be converted to an HTML file shareable, emailable
🔵 Interactively explore the elements you want
🔵 Expecting, hoping for suggestions, improvement (code and non-code)

Full video/explanation here (with link to the code and data):

https://bit.ly/3Zs2MkR

#DataScience #DataVisualization #dashboard #SEO

What's the minimum number of clicks needed to go from page A to page B?

Shortest Path Length

What pages B and C, D and F, ... ?
What about all pairs of pages in the whole site?

I'm working on a new chart to evaluate this. The image shows counts for a few websites, and how they're distributed.

Does this make sense?
How would you improve it?

#techseo #linkbuilding #SEO #DataVisualization #DataScience #Python #Plotly

#Python Friday #192: #Plotly-Specific #Diagrams

https://improveandrepeat.com/2023/09/python-friday-192-plotly-specific-diagrams/

大容量データもサクサク動くPlotly！「plotly-resampler」で楽々高速化！
https://qiita.com/key353/items/b168fc9e1bfba5c92bbb?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
#qiita #Python #データ分析 #Python3 #可視化 #plotly

#Python Friday #191: Often used Diagrams for #Plotly

https://improveandrepeat.com/2023/09/python-friday-191-often-used-diagrams-for-plotly/

Happy to announce a new cohort for my course:

Data Science with Python for SEO 🎉 🎉 🎉

🔵 For absolute beginners
🔵 Run, automate, and scale many SEO tasks with Python like crawling, analyzing XML sitemaps, text/keyword analysis
🔵 Intro to data manipulation and visualization skills
🔵 Get started with #advertools #pandas and #plotly
🔵 Make the transition from #Excel to #Python
🔵 Online, live, cohort-based, interactive
🔵 Spans three days in one week

https://bit.ly/dsseo-course

#Python Friday #190: Interactive Plots With #Plotly

https://improveandrepeat.com/2023/09/python-friday-190-interactive-plots-with-plotly/

How to add labels to your ggplot2 and plotly graphs in R: examples and code by Jānis Stūris

https://datacornering.com/add-data-labels-to-column-or-bar-chart-in-r/

#rstats #ggplot #ggplot2 #plotly #DataViz #DataVis #R @rstats

I’ve started experimenting with interactive #DataViz using #Plotly. Here’s a “map” of different foods that I made using plotly in #RStats. The foods are embedded in two dimensions using t-SNE. I also had fun trying out {tricolore} to make the ternary colormap.

The interactive version with food labels (+ calorie and macronutrient information for each food) is on my website: https://www.gmschroeder.com/data_vis/macros-map/

1/2

Happy to announce my course:

Data Science with Python for SEO 🎉 🎉 🎉

🔵 For absolute beginners
🔵 Make a leap in your data skills
🔵 Run, automate, and scale many SEO tasks with Python like crawling, analyzing XML sitemaps, text/keyword analysis
🔵 In depth intro to data manipulation and visualization skills
🔵 Get started with #advertools #pandas and #plotly
🔵 Make the transition from Excel to Python
🔵 Online, live, cohort-based, interactive

https://bit.ly/dsseo-course

Styling tables with #adviz

New function/chart:

🔵 Style columns as text, category, bar, or heatmap
🔵 Set table title, width, height
🔵 Set relative column widths
🔵 Hover to see long text
🔵 HTML file

https://bit.ly/style_table
#DataScience #DataVisualization #Python #Plotly

ShinyProxy now supports Dash.jl apps (for a demo: https://oa.eu/oujHVF) and #Streamlit apps (for a demo: https://oa.eu/LC8GsX).

Also, ShinyProxy’s mobile experience is improved, the support of admin users (next to admin groups) is added as well as passing of time zone information to your #datascience apps.

More information about the release: https://oa.eu/QN2Fbc

#opensource #plotly #rstats #python #kubernetes

📝 "Pills dataset - Part 2"

👤 Jennifer HY Lin (@jhylin)

🔗 https://jhylin.github.io/Data_in_life_blog/posts/09_Pills/Rust_polars_pills_df.html

#pyladies #python #dataanalyticsprojects #pillsdatasetseries #polars #plotly #jupyter

Unveiling a detailed walkthrough on visualizing #SQL queries with Plotly, a versatile #visualization library, using the #Ploomber package in our latest blog post.

Gain insights into the process from ground zero- starting with package installation, #data loading, creating, and loading tables onto a Python-SQL Jupyter Notebook, to the grand finale - visualizing data via various plots.

🔗 Google Colab: https://colab.research.google.com/github/ploomber/sql/blob/main/colabs/visualizing-your-sql-queries/plotting-with-plotly.ipynb

🔗 JupyterBook: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/plotting-with-plotly.html

#DataVisualization #Plotly

First steps at visualizing tables in a clear and (hopefully) beautiful way.

Get/edit the code here:

https://bit.ly/3DeCN6h

#DataScience #DataVisualization #Plotly #Barchart #Heatmap #Python

Need to deal with a "%" symbol in your #Pandas input data file? Or need to scale your y-axis? Here's a demo #Jupyter notebook which shows you how, with links to open it in #Colab and #Callysto. #Python #Plotly

https://github.com/pbeens/Data-Analysis/blob/main/Demos/dealing-with-percent-symbols-and-y-scaling.ipynb

The importance of data storytelling is growing in today's data-driven environment, and we have just the toolset to help you become top-tier data narrators - #SQL, #Seaborn, #Plotly, and #Matplotlib!

Learn more: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/types-of-visualizations.html

#DataScience #SQL #DataVisualization #Python

For those trying (and failing like me) to set the background of a #plotly choropleth map with the `plot_bgcolor` property of a template object, set the `geo_bgcolor` instead.

The former is overwritten by the later. 😑It's obvious now but that's 2 hours I can't get back...

#python #tips

Country flags can make your charts/reports easier to read, & can give more space vs full country names.

Just released a simple new #adviz function flag() which converts a 2 or 3-letter country code or country name to its respective flag

python3 -m pip install --upgrade adviz

https://bit.ly/adviz-flag

#advertools #DataScience #DataVisualization #Python #plotly

#rstats package #ggpmisc version 0.5.3 is now on CRAN. 'ggpmisc' is now fully compatible with #gganimate and partly compatible with #plotly. A gallery of animated ggplots with code (https://www.r4photobiology.info/galleries/plot-animation.html) is now online. (https://github.com/aphalo/ggpmisc)

The Plotly Dash docs are actually really nice! It's not often you find documentation that goes beyond listing function calls but also explaining the "why" and proactively describing some potential pitfalls along the way. I'm very pleased and can't believe I haven't tried Dash until now!

Https://dash.plotly.com

#python #dash #plotly #docs

@chrisremmel excellent point. To be honest, #plotly was what I initially considered, but I was open to other new alternatives. Your comment about being diffieto customise is the type of feedback I was expecting, because it is difficult to see from the documentation

Probably this is one of those questions that could be better done using a poll:

> Hi #python users. Which data visualisation library would you recommend to an #rstats user who loves #ggplot2 customisations (and #plotly for interactive plots)? I'm looking for something very customisable to produce interactive #dataviz.

Hi #python users. Which data visualisation library would you recommend to an #rstats user who loves #ggplot2 customisations (and #plotly for interactive plots)? I'm looking for something very customisable to produce interactive #dataviz. Should I go for #altair #bokeh #plotly #seaborn or none of them?

📝 "Shinylive app in Python"

👤 Jennifer HY Lin (@jhylin)

🔗 https://jhylin.github.io/Data_in_life_blog/posts/13_Shiny_app_python/ShinyAppPy_PC_Cov19_app_embed.html

#pyladies #python #shiny #pandas #plotly #pubchem #cheminformatics

This Thursday, join us for a workshop on visualizing data with #python, #streamlit, and #plotly. We'll have facilitators from the University of #Wisconsin #DataScience Hub lead us in a participatory workshop, building and customizing a demo app deployed onto the cloud. Bring your laptop!

https://www.meetup.com/madison-python/events/293265891/

Meeting at the #Madison library central branch. (No pizza this time. Sorry!)

The root problem was #plotly plots not appearing in #jupyter lab. Before going down rabbit holes I thought I’d try the classic notebook first. Plots appeared without an issue. Sorry jupyterlab, you’ve been trying hard for a long time, but you’ve done everything right to make me dislike you.

I spent a bit too long trying to figure out how to determine which plot I clicked on in #rstats #shiny #plotly so to save the next person some trouble, here's a writeup

https://jcarroll.com.au/2023/05/26/which-plot-was-that/

First post here on Mastodon!
Wanted to share some updates on my #godotengine addon here too!
Easy Charts is a plotting and data visualization library inspired by some of the major libraries (matplotlib, plotly) and frameworks for @godotengine 3 and 4.
Feel free to use it and contribute.

https://github.com/fenix-hub/godot-engine.easy-charts

#opensource #plotly #matplotlib #ui

Neue Werkzeuge: P5, Jupyter und mehr online

Nicht nur ich bewege mich wieder zurück und weg von den reinen statischen Seiten vom Desktop ins Web. Das Neue daran ist, daß die neuen Werkzeuge (meist) ohne dedizierten Server auskommen. Der dynamische Content wird per JavaScript im Client (das ist in der Regel der Browser) erstellt. Ein paar Beispiele, die mir in den letzten Tagen untergekommen sind: https://kantel.github.io/posts/2023050402_p5_jupyter_und_mehr_online/ #P5 #Processing #Plotly #JupyterLite #Docsify #Markdown #Quarto

Announcing our June meetup!

Join us for a workshop led by our colleagues at the UW Data Science Hub. Bring your laptop & dive in on #visualization, #plotly, and #streamlit in #python. We're meeting in the downtown #Madison library. Please join us! (Still working on identifying a sponsor for pizza. Reach out if you or your company are interested in helping us out.)

https://www.meetup.com/madison-python/events/293265891/

Entity Extraction app - powered by @OpenAI's #ChatGPT
🟦 Paste an article, get entities + @Wikipedia URLs
🟦 Table & #JSONLD
🟦 Trained on 1k Wikipedia articles (no prompts)
🟦 Still very basic and simple

https://bit.ly/3oTS3l5

I started learning on the weekend with this great course

https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers

Structured data, KG, Schemaorg experts:

What's the best way to get the schema
"@ type" of an entity if you have its Wikipedia URL?

#GenerativeAI #semanticweb #SEO
#plotly #LLM

This is part 5 and the final part in this series. Please enjoy, steal the code and modify for yoruself!

• Choose between entering your own data or selecting from one of several built-in functions

• Select the type of plot you want to see (density, quantile, probability, QQ, or MCMC)

• Choose to use Plotly for interactive visualizations

Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-04-24/

#r #rstats #opensource #shiny #tidydensity #ggplot2 #ggplot #plotly #dt #innovation #technology #distributions

I hope to write more about some details another time but in short, several lines of thought have recently converged on the notion that #Quarto looks like an excellent tool for creating #OER.

https://quarto.org/docs/books/

It hasn't taken me long to start experimenting with this great Tufte-style template. I even added interactive plots with #Plotly in HTML and equivalent static plots in PDF!

https://fredguth.github.io/tufte-quarto/

After working with #python #plotly #dash for a few days, I'm annoyed.

It makes really cool "hello world" examples. Anything larger is extremely bulky.

It's a state-less web thing, so I need redis/whatever-the-fuck/massive time/net hits just to, like, *store information in variables*.

Except there are no non-toy examples of this. Does anyone outside of medium articles use this thing?

OK, it begins to make sense. These things just return back dictionaries. Probably to hand to the #plotly #javascript engine that actually displays in the browser.

As a bonus, if #dash can do grids of text as well as it seems to do plots, I might be able to ditch a work frenemy. And there's no reason it shouldn't--it's just #flask

#python

Is there a simple explainer for #dash vs #plotly vs plotly express? (I already read the confusing half-truths Google finds)

In particular, why is it easy to find "hello world" graphs from dash, but impossible to find a 3d one other than plotly express?

And what am I getting into dependency-wise if I start using this thing? I don't *want* pandas.

#python

Got around to continuing some online courses on Python. In the exercise "Graph from links - Create a program that will create a graph or network from a series of links." - So I wrote a script that does just that - execute - enter a link to a website and it will create a scatter plot with all the links on that site. Check out my version at the link below.

https://github.com/marcel-gaida/five_sugar/blob/main/webmap.py

#elearning #education #programming #python #plotly

I just discovered this #rstats package called plotly with which you can plot interactive 3D plots in ggplot2 aesthetics:
#ggplot2 #plotly

#GameOfLife, again, this time with an 8-glider synthesis of the Gosper glider gun.
Z-axis shows time, from the starting configuration with 8 gliders (bottom) to the first three new gliders running off (top).

Rendering is done in #rstat via rgl, which for some applications seems to be easier to work with than #plotly (which I previously used).

Thanks to @jkanev & @mrdk for suggesting the idea!

__
#CellularAutomata #generative
Ref: https://conwaylife.com/wiki/Gosper_glider_gun

2D #CellularAutomata: #GameOfLife.

The Z-axis shows time, from the starting configuration at the base (an R-pentomino) up to generation t=1200 at the top.

You can see some gliders running off by t=200. By t=1103, near the top, all activity has ceased, and we are left with a few "blinkers" and "still lifes": these appear as vertical lines because they don't move anymore as time passes.

__
#generative #rstats #plotly (and wishing for a 3D update of #ggplot2)

Diverging Lollipop Charts are a powerful and effective tool for visualizing the difference between two values. These charts are particularly useful when comparing multiple data points and can help to quickly identify patterns and trends in the data.

Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-02-02/

#innovation #technology #rstats #r #visualization #ggplot2 #plotly #datascientist #data #dataanalytics #programming #coding

I've recently updated the library with new functions and improvements that make analyzing and visualizing your time series data easier than ever before. From generating multiple Brownian motion simulations at once to adding random variations to your data.

#timeseriesanalysis #datascience #timeseries #tidy #r #package #blog #blogpost #functions #programming #opensourcesoftware #visualization #plotly #ggplot2 #motion #finance #stockmarket #lowcode

@blub as I trained as an architect and sometimes I teach architects I'm always looking into learning #QGIS, thinking about how to write plug-ins, but failing to put the necessary hours into it :-S

Maybe something that works on #Jupyter like #Plotly will have to do.

I wish I had just a little bit more low level knowledge so I could integrate it in sketches outside Jupyter, like I used to do with unfolding on Processing. It is such a thin line to walk these things I'm wishing... I want control but not too complex and hard low level stuff... I'm sure I have a lot to learn before I can teach any of it.

This week's #TidyTuesday data is from FeederWatch, a citizen science program that asks participants to identify and count the birds that visit the area around their home.

code: https://github.com/deepshamenghani/tidytuesday/tree/master/2023/Week2_birdfeeder

#RStats #DataViz #R4DS #RSpatial #Plotly #MapPromptMonday

Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
It's a static HTML page, e.g. no server (#shiny, #dash, etc) needed. Thanks a lot to the authors of the #plotly #reactable #crosstalk and #htmlwidget tools for making this so easy #til #rstats #bioconductor #gsea #compbio #visualization @lianos

Finally managed to plot a trajectory on a 3D surface with Plotly.NET. That took a bit more work than expected! Wondering now how much effort it would take to draw a xmas tree that way ;) #fsharp #plotly

plotly::ggplotly is FANTASTIC. Who could have believed transforming a plot from a png to an interactive widget could have this simple!

Revamped the whole project within a few hours:

https://github.com/Aman9das/FinalSemStatProject2022/blob/main/Formal/PPT_Reveal.html

#rstats #plotly #ggplot2

@brandewinder this was awesome Matthias. Beautiful demo of the #plotly charting features in #fsharp , numerical differentiation and a fun Xmas themed operations challenge. Now can you get local #sf government to adopt any of these optimization techniques.

You cannot stop my graphs...however, this took far, far longer than I care to admit. #plotly #flask

@twbrandt Yeah, makes sense. It’s not a huge deal to use d3, and might end up going that route anyway, but mostly just need quick graphs like you’d find in a math text. I’m lazy and don’t want to have to configure axes and stuff. I think I’m gonna poke around with #Plotly. Uses D3 under the hood, but seems to take care of a lot of the boilerplate.

this is surprising, is there no rabbid #plotly or #bokeh fanbase? Are you really gonna let crusty old #matplotlib win? Or is it really, even after all this time, actually good enough?

@datamaps

Thanks for that suggestion. Never encountered #dygraphs before. Do you know how it compares to similar projects like #plotly or #vega or even observables #plot..?

Rendez-vous demain à 11h pour un atelier #BlueHats 🧢 pour découvrir les usages du framework #Dash #plotly (https://plotly.com/dash) dans plusieurs administrations.

Nous vous attendrons sur https://visio.incubateur.net/b/bas-vwv-2ww 🙏

🤖 meep moop

🤓

#python3 #plotly #rollthedice

I just rolled a die a hundred thousand times

How's your Saturday going

🤔🤓😅

#python #plotly #datavisualization

I wrote a really quick tutorial on using correlation to dissect time series, that someone might find interesting:

https://fasiha.github.io/historic-correlations/

Using #Pandas and #Plotly. It's a Jupyter Notebook so my prose and pretty graphs are interleaved with chunks of ugly computing and plotting code—feel free to skip the code. Feedback most welcome.

⚠️ 30 MB of JavaScript and images payload. WiFi recommended.

Did the #Plotly spreadsheet+chart web app disappear? Alas.