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

Creo que se me ha ido la olla con esta gráfica, no se entiende nada!, ni de cerca ni de lejos. A ver como lo arreglo... #plotly

Почему мне нравится #plotly, и не так нравится #matplotlib?
1. Plotly имеет функциональный интерфейс и не приходится иметь дело с ненавистным глабальным состоянием, провоцирующим крышесносные ошибки в matplotlib (например в matplotlib можно случайно вызвать `clf()` до создания `figure()` с непредсказуемым поведением 🤪)
@ru

#plotlypotbot #DataViz #science #functionalprogramming

Still, you can download the plot as a static PNG image. For smaller screens, a static version is displayed automatically.

The latest version has seen some major refactoring and now uses #Plotly instead of #Matplotlib. The data comes, as before, from @openmeteo .

#OpenData

Go learn Scala with me!
I'm interesting in functional programming and have experience in Haskell, now writing a Telegram bot with Scala. The bot to share plots and charts drawn with Plotly lib. Telegram stores a chart, the bot gives link to web page with it embedded. I'm planning to post here about this stuff in English and Russian. Hope this helps someone to become a better developer!
@ru

#plotlypotbot #scala #plotly #DataViz #science #fp #functionalprogramming #programming

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

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

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

📝 "Shinylive app in Python"

👤 Jennifer HY Lin (@jhylin)

🔗 https://jhylin.github.io/Data_in_life_blog/posts/13_Shiny_app_python/ShinyAppPy_PC_Cov19_data_prep.html

#pyladies #python #shiny #polars #plotly #pubchem #cheminformatics

Generating interactive plots in the #Lean4 infoview using the #JavaScript #Plotly library through the fabulous #ProofWidgets framework (https://github.com/EdAyers/ProofWidgets4).

Source code available at https://github.com/0art0/ProofWidgets4/blob/main/ProofWidgets/Demos/Plotly.lean.

📝 "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!)

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/