The mapdata.py data explorer now has two new ways of summarizing missing data. It can also now create a Zipf's Law plot for any categorical variable. Install, update, or download it from PyPI: https://pypi.org/project/mapdata/

#DataExploration #DataAnalysis #Mapping #Plotting #Statistics #FOSS #FLOSS

๐Ÿ” Exploring groundwater chemistry โ€” from ions to equilibrium

This ternary diagram shows how groundwater samples affected by mine water vary in anion composition. Each point represents one sample, colored by its calcite saturation index (SI) from PHREEQC calculations.

Such early-stage exploration helps reveal subtle geochemical trends โ€” where equilibrium breaks down, reactions intensify, and contamination fronts begin to form.

๐Ÿงช Data exploration: PHREEQC + R

#Geochemistry #Hydrogeology #MineWater #Groundwater #PHREEQC #DataExploration #EnvironmentalGeochemistry #GeochemicalModeling #DataVisualization #RStats #OpenScience #SvystunovaGully

AGX โ€“ Open-Source Data Exploration for ClickHouse (The New Standard?)

https://github.com/agnosticeng/agx

#HackerNews #AGX #OpenSource #DataExploration #ClickHouse #TechNews #DataAnalysis

GitHub - agnosticeng/agx: Query and explore local and remote data with Clickhouse

Query and explore local and remote data with Clickhouse - agnosticeng/agx

GitHub

I'm not really sure when @micahflee made his Hacks, Leaks, and Revelations book free to read online, but if it's been on your wish list, now's your chance to give it a read, and if you enjoy it, and can afford to, support the author.

https://hacksandleaks.com/contents.html

Buy here: https://hacksandleaks.com/

#data #dataviz #DataVisualiaztion #DataExploration #books #HacksAndLeaks

Contents - Hacks, Leaks, and Revelations

Buy Hacks, Leaks, and Revelations: The Art of Analyzing Hacked and Leaked Data by Micah Lee.

I'm continuing to play with my music listening data, and i suspect that spotify (2017-2021) and plex (2022+) handle time zones differently and that I'm not properly accounting for that difference.

#DataExploration #PowerBI #MicrosoftFabric

Modern Data Science with SAS Viya & Python for Churn Models | CoListy
Learn data science with SAS Viya & Python to predict churn, manage data, deploy models, & use GitHub for collaboration.
#freeonlinelearning #colisty #courselist #moderndatascience #sasviyaworkbench #predictiveanalytics #dataengineering #machinelearning #customerchurnprediction #pythonandsasintegration #dataexploration

https://colisty.netlify.app/courses/modern-data-science-with-sas-viya-python-for-churn-models/

Modern Data Science with SAS Viya & Python for Churn Models

Learn data science with SAS Viya & Python to predict churn, manage data, deploy models, & use GitHub for collaboration.

SAS Programming 1: Essentials - Learn SAS for Data Analysis | CoListy
Start learning SAS programming with essential skills for data access, exploration, preparation, and analysis. Perfect for beginners!
#freeonlinelearning #colisty #courselist #sasprogramming #dataanalysis #sasstudio #sqlinsas #datapreparation #dataexploration #datareporting #sasforbeginners #machinelearning #artificialintelligence #sasenterpriseguide.

https://colisty.netlify.app/courses/sas-programming-1-essentials-learn-sas-for-data-analysis/

SAS Programming 1: Essentials - Learn SAS for Data Analysis

Start learning SAS programming with essential skills for data access, exploration, preparation, and analysis. Perfect for beginners!

Recce's updated interface lets you stay on track while assessing and exploring data impact in your dbt project

Understand and track data change when:

- making dbt data model changes
- performing dbt PR review

https://www.loom.com/share/66959ea08b164e9190703d67877153dd?sid=e288bb2b-3301-44b9-9c36-2a475e166056

#dbt #dataops #dataengineering #dataexploration #analytics

Explore data impact and focus on tracking data validations with Recce's new interface

Loom

Fast and easy data exploration using Graphic-Walker Data Explorer with a Tableau-like drag & drop interface. Simply upload your CSV file and start exploring without writing code

https://graphic-walker-data-explorer.netlify.app/

#dataviz #dataexploration #dashboard #rstats #rshiny #software

New features in the data explorer MapData.py (https://pypi.org/project/mapdata/):

1. Saturation, contrast, and brightness of basemap images can be customized.

2. Hovering over a point on a scatter plot will display the label for that point.

3. Data can be recoded to edit the values in an existing column or to add a column with new values to the data table.

#Mapdata #Mapping #DataExploration #Python #FOSS

Client Challenge