#exploratorydataanalysis — Public Fediverse posts

PyGWalker makes exploratory data analysis (EDA) faster and easier than ever!

Learn more in the latest Statistics Globe Hub module: https://statisticsglobe.com/hub

#python #datascience #dataanalysis #exploratorydataanalysis #datavisualization #pythonprogramming #jupyter #pygwalker #statisticsglobehub

PyGWalker makes exploratory data analysis (EDA) faster and easier than ever!

Learn more in the latest Statistics Globe Hub module: https://statisticsglobe.com/hub

#python #datascience #dataanalysis #exploratorydataanalysis #datavisualization #pythonprogramming #jupyter #pygwalker #statisticsglobehub

Today I learned how to make a custom project template with the python cookiecutter tool
https://www.cookiecutter.io/
At my work we do a scientific validation project whenever we change our data analysis pipeline. So a lot is the same, but we need to be able to customize the validation depending on what changed in our pipeline. The templates look like they will help us be consistent while allowing flexibility. I am excited about it!

#python
#cookiecutter
#exploratoryDataAnalysis

Today I learned how to make a custom project template with the python cookiecutter tool
https://www.cookiecutter.io/
At my work we do a scientific validation project whenever we change our data analysis pipeline. So a lot is the same, but we need to be able to customize the validation depending on what changed in our pipeline. The templates look like they will help us be consistent while allowing flexibility. I am excited about it!

#python
#cookiecutter
#exploratoryDataAnalysis

Exploratory data analysis is usually where the first real insight appears, and I’ve been looking for ways to make that moment clearer and more immediate.

One experiment I’m trying is a hover-based UI: move your cursor over a column and a compact histogram appears. It gives you an instant feel for the distribution without interrupting your flow.

#DataVisualization #ExploratoryDataAnalysis #UXDesign #InformationDesign #EdTech

Exploratory data analysis is usually where the first real insight appears, and I’ve been looking for ways to make that moment clearer and more immediate.

One experiment I’m trying is a hover-based UI: move your cursor over a column and a compact histogram appears. It gives you an instant feel for the distribution without interrupting your flow.

#DataVisualization #ExploratoryDataAnalysis #UXDesign #InformationDesign #EdTech

#CodemotionMilan è la prossima settimana !

Ci sarò anche io con un talk su
🔍 #ExploratoryDataAnalysis
📊 #DataVisualization

mercoledì 1️⃣5️⃣ ottobre alle 🕧 12:30 Gate 5️⃣

Corley Cloud at CodemotionMilan
#EDA #GraphTools #Accessibility #Interpretability #BestPractices

#ExploratoryDataAnalysis trick of the day: linking a scatter plot and a bar plot in #holoviews using DynamicMap (since Linked Brushing -- which is awesome usually -- does not support bar plots)

9 lines of code 😎

https://discourse.holoviz.org/t/linked-brushing-with-bar-chart/6049/2

HT @MarcSkovMadsen whose answer to a related question pointed me towards the right path

#DataViz #hvplot #DataScience

#ExploratoryDataAnalysis trick of the day: linking a scatter plot and a bar plot in #holoviews using DynamicMap (since Linked Brushing -- which is awesome usually -- does not support bar plots)

9 lines of code 😎

https://discourse.holoviz.org/t/linked-brushing-with-bar-chart/6049/2

HT @MarcSkovMadsen whose answer to a related question pointed me towards the right path

#DataViz #hvplot #DataScience

Very cool #MovingPandas demo by Bryan:
#BikeSharing movements to the #Metallica concert in #Tartu #Estonia, incl #trajectory animations with #KeplerGL

https://towardsdatascience.com/bike-sharing-system-movements-to-the-metallica-concert-in-tartu-estonia-1af8361bc6f

#GISChat #DataViz #exploratorydataanalysis #mobility

Very cool #MovingPandas demo by Bryan:
#BikeSharing movements to the #Metallica concert in #Tartu #Finland, incl #trajectory animations with #KeplerGL

https://towardsdatascience.com/bike-sharing-system-movements-to-the-metallica-concert-in-tartu-estonia-1af8361bc6f

#GISChat #DataViz #exploratorydataanalysis #mobility

@pokateo

GIS-adjacent: I created a new workshop package to teach exploratory data analysis (EDA) in #Rstats. The package includes #SimpleFeatures data objects for mapping!

#ExploratoryDataAnalysis #Workshop #OpenEducationalResource

https://paezha.github.io/edashop/

@pokateo

GIS-adjacent: I created a new workshop package to teach exploratory data analysis (EDA) in #Rstats. The package includes #SimpleFeatures data objects for mapping!

#ExploratoryDataAnalysis #Workshop #OpenEducationalResource

https://paezha.github.io/edashop/

Pandas profiling is a #Python module with which we can quickly do an #ExploratoryDataAnalysis with just a few lines of code:

from pandas_profiling import ProfileReport
report = ProfileReport(df_titanic)
report. to_file(output_file='report.html')

#EDA #DataScience #DataViz #DataMining #PandasProfiling

Pandas profiling is a #Python module with which we can quickly do an #ExploratoryDataAnalysis with just a few lines of code:

from pandas_profiling import ProfileReport
report = ProfileReport(df_titanic)
report. to_file(output_file='report.html')

#EDA #DataScience #DataViz #DataMining #PandasProfiling

I have indicated this book as obligatory for students on the Exploratory Data Analysis course.
I recommend. Is great.
Author and his book website: https://clauswilke.com/dataviz/
and GitHub: https://github.com/clauswilke/dataviz

#DataStorytelling #DataScience #DataViz #EDA #ExploratoryDataAnalysis

I have indicated this book as obligatory for students on the Exploratory Data Analysis course.
I recommend. Is great.
Author and his book website: https://clauswilke.com/dataviz/
and GitHub: https://github.com/clauswilke/dataviz

#DataStorytelling #DataScience #DataViz #EDA #ExploratoryDataAnalysis

Excited to be in Rimini this week to teach a workshop at Alma Mater Studiorum #UNIBO.

This will be the second time I offer the Italian edition of #ExploratoryDataAnalysis in R.

The materials are available as an #OpenEducationalResource here:

https://paezha.github.io/edashop/

#Rstats #OpenScience #McMaster