#data-analysis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #data-analysis, aggregated by home.social.
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ICYMI: AI crawlers hit sites 50,000 times per human visit, Cloudflare data shows: AI crawlers reach up to 50,000 visits per referred reader, Cloudflare data shows, as a Munich court strips Google of its liability shield over AI Overviews. https://ppc.land/ai-crawlers-hit-sites-50-000-times-per-human-visit-cloudflare-data-shows/ #AI #Crawlers #DataAnalysis #Cloudflare #Google
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ICYMI: AI crawlers hit sites 50,000 times per human visit, Cloudflare data shows: AI crawlers reach up to 50,000 visits per referred reader, Cloudflare data shows, as a Munich court strips Google of its liability shield over AI Overviews. https://ppc.land/ai-crawlers-hit-sites-50-000-times-per-human-visit-cloudflare-data-shows/ #AI #Crawlers #DataAnalysis #Cloudflare #Google
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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
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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
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Season 1 Lesson 29 Part 9 - Your First Steps in Python Regex Email Domains #vibecoding #softwaredeveloper #jupyternotebook #pythonprogramming #machinelearning #gcp #azure #codingtutorial #softwarengineer #python #aws #datascience #pythoncode #dataanalysis #learncoding #dataengineer
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Season 1 Lesson 29 Part 8 - Your First Steps in Python Regex Email Validation Explained #dataengineer #pythoncode #azure #codingtutorial #vibecoding #softwaredeveloper #jupyternotebook #pythonprogramming #machinelearning #gcp #softwarengineer #python #aws #datascience #dataanalysis #learncoding
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Alright, future engineers!
**Z-score:** Measures how many standard deviations a data point is from the mean.
Ex: `z = (x - mean) / SD`
Pro-Tip: Use it to compare data points from different normal distributions. It standardizes!
#Statistics #DataAnalysis #STEM #StudyNotes -
Season 1 Lesson 29 Part 7 - Your First Steps in Python RegEx Hat Caret Character Advance #learncoding #pythonprogramming #machinelearning #dataengineer #pythoncode #azure #codingtutorial #vibecoding #softwaredeveloper #jupyternotebook #gcp #softwarengineer #python #aws #datascience #dataanalysis
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Season 1 Lesson 29 Part 6 - Your First Steps in Python RegEx Hat Caret Character #softwarengineer #datascience #python #codingtutorial #vibecoding #softwaredeveloper #learncoding #pythonprogramming #machinelearning #dataengineer #pythoncode #azure #jupyternotebook #gcp #aws #dataanalysis
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Season 1 Lesson 29 Part 6 - Your First Steps in Python RegEx Hat Caret Character #softwarengineer #datascience #python #codingtutorial #vibecoding #softwaredeveloper #learncoding #pythonprogramming #machinelearning #dataengineer #pythoncode #azure #jupyternotebook #gcp #aws #dataanalysis
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Season 1 Lesson 29 Part 5 - Your First Steps in Python Understand Tab And New Line #pythonprogramming #softwaredeveloper #learncoding #softwarengineer #datascience #python #codingtutorial #vibecoding #gcp #machinelearning #dataengineer #pythoncode #azure #jupyternotebook #aws #dataanalysis
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Season 1 Lesson 29 Part 5 - Your First Steps in Python Understand Tab And New Line #pythonprogramming #softwaredeveloper #learncoding #softwarengineer #datascience #python #codingtutorial #vibecoding #gcp #machinelearning #dataengineer #pythoncode #azure #jupyternotebook #aws #dataanalysis
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Season 1 Lesson 29 Part 4 - Your First Steps in Python New Line Character Handling #softwarengineer #datascience #python #codingtutorial #aws #azure #pythonprogramming #softwaredeveloper #learncoding #machinelearning #dataengineer #vibecoding #gcp #pythoncode #jupyternotebook #dataanalysis
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Season 1 Lesson 29 Part 4 - Your First Steps in Python New Line Character Handling #softwarengineer #datascience #python #codingtutorial #aws #azure #pythonprogramming #softwaredeveloper #learncoding #machinelearning #dataengineer #vibecoding #gcp #pythoncode #jupyternotebook #dataanalysis
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llms.txt adoption rises 8.8x but 97% of files get zero AI requests: Originality.ai counted 38,980 adopting sites across 3M+ websites by May 2026, yet SEO audit tools - not AI assistants - dominate actual llms.txt request logs. https://ppc.land/llms-txt-adoption-rises-8-8x-but-97-of-files-get-zero-ai-requests/ #AI #SEO #DigitalMarketing #DataAnalysis #MachineLearning
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llms.txt adoption rises 8.8x but 97% of files get zero AI requests: Originality.ai counted 38,980 adopting sites across 3M+ websites by May 2026, yet SEO audit tools - not AI assistants - dominate actual llms.txt request logs. https://ppc.land/llms-txt-adoption-rises-8-8x-but-97-of-files-get-zero-ai-requests/ #AI #SEO #DigitalMarketing #DataAnalysis #MachineLearning
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Surface-level stats aren't enough to understand your audience. #SkyPilot provides deep analytics on followers, engagement patterns, and growth trends. The more data you have, the smarter your strategy becomes.
Dive into data: skypilot.social
#Meme #DataAnalysis #Analytics -
Season 1 Lesson 29 Part 3 - Your First Steps in Python Why Python Displays Two Back Slashes #pythonprogramming #softwaredeveloper #learncoding #machinelearning #softwarengineer #datascience #python #codingtutorial #aws #azure #dataengineer #vibecoding #gcp #pythoncode #jupyternotebook #dataanalysis
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You can now add #Markdown Notes in #LabPlot [dev]! :boost_love:
Benefits:
👉️ Write rich, formatted notes with Markdown syntax.
👉️ Attach notes to plots/data for better context.Perfect for adding structured explanations, methodology details, or collaborative comments to your analysis.
#DataViz #OpenSource #FOSS #DataScience #DataAnalysis #Research #Documentation #Productivity #OpenScience #Tech #NoteTaking
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You can now add #Markdown Notes in #LabPlot [dev]! :boost_love:
Benefits:
👉️ Write rich, formatted notes with Markdown syntax.
👉️ Attach notes to plots/data for better context.Perfect for adding structured explanations, methodology details, or collaborative comments to your analysis.
#DataViz #OpenSource #FOSS #DataScience #DataAnalysis #Research #Documentation #Productivity #OpenScience #Tech #NoteTaking
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Season 1 Lesson 29 Part 2 - Your First Steps in Python Understand New Line Character #jupyternotebook #softwarengineer #datascience #python #codingtutorial #pythonprogramming #softwaredeveloper #learncoding #machinelearning #aws #azure #dataengineer #vibecoding #gcp #pythoncode #dataanalysis
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Alright, future engineers!
**Standard Deviation (SD):** Measures how much your data varies from the average (mean).
Ex: Low SD means consistent product quality.
Pro-Tip: Smaller SD = more reliable or precise measurements!
#Statistics #DataAnalysis #STEM #StudyNotes -
Season 1 Lesson 29 Part 1 - Your First Steps in Python Regex Understand Replacing Characters #codingtutorial #pythonprogramming #softwaredeveloper #learncoding #machinelearning #jupyternotebook #softwarengineer #datascience #python #aws #azure #gcp #vibecoding #pythoncode #dataanalysis #dataengineer
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🎓 Final Presentations of the DiSC Minor Lab | Summer Term 2026
Last week we wrapped the DiSC minor’s Data Analysis Lab with final presentations from 18 students, stretched over 2 days! In this thread, we're showcasing a few projects from different study backgrounds:
#DigitalScience #DataScience #Teaching #InterdisciplinarySkills #DataAnalysis #DataManagement #ComputationalMethods
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🎓 Final Presentations of the DiSC Minor Lab | Summer Term 2026
Last week we wrapped the DiSC minor’s Data Analysis Lab with final presentations from 18 students, stretched over 2 days! In this thread, we're showcasing a few projects from different study backgrounds:
#DigitalScience #DataScience #Teaching #InterdisciplinarySkills #DataAnalysis #DataManagement #ComputationalMethods
1/4 -
Navigate Your Data Using Lookup Function
Excel can produce varying results in a cell, depending on conditions set by you. For example, if numbers are above or below certain limits, different calculations will be performed and text messages displayed. The usual method for constructing this sort of analysis is using the IF function. However, this can become large and unwieldy when you want multiple conditions and many possible outcomes.Excel can nest a specified number of IF clauses in a main IF statement, whereas you may want more […]https://skillssprouts8.wordpress.com/2026/06/30/navigate-your-data-using-lookup-function/
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Navigate Your Data Using Lookup Function
Excel can produce varying results in a cell, depending on conditions set by you. For example, if numbers are above or below certain limits, different calculations will be performed and text messages displayed. The usual method for constructing this sort of analysis is using the IF function. However, this can become large and unwieldy when you want multiple conditions and many possible outcomes.Excel can nest a specified number of IF clauses in a main IF statement, whereas you may want more […]https://skillssprouts8.wordpress.com/2026/06/30/navigate-your-data-using-lookup-function/
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Season 1 Lesson 28 Part 9 - Your First Steps in Python Regex Sub Capture And Replace #softwaredeveloper #learncoding #datascience #vibecoding #pythoncode #dataanalysis #machinelearning #gcp #jupyternotebook #dataengineer #softwarengineer #codingtutorial #pythonprogramming #python #aws #azure
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Season 1 Lesson 28 Part 8 - Your First Steps in Python Regex Sub Normalize Text Data #azure #machinelearning #gcp #jupyternotebook #dataengineer #softwaredeveloper #softwarengineer #learncoding #datascience #vibecoding #pythoncode #dataanalysis #codingtutorial #pythonprogramming #python #aws
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New feature: #LOWESS (Locally Weighted Scatterplot Smoothing) is now available in #LabPlot [dev]. :boost_love:
Benefits:
👉 Smooths noisy data while preserving local trends.
👉 Non-parametric: no need to assume a specific model.
👉 Adjustable span parameter for flexibility in smoothing.Perfect for visualizing trends in experimental or observational data.
#DataViz #OpenSource #FOSS #OSS #FLOSS #DataScience #DataAnalysis #Research #Data #Statistics #Physics #Engineering #OpenScience #Tech
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New feature: #LOWESS (Locally Weighted Scatterplot Smoothing) is now available in #LabPlot [dev]. :boost_love:
Benefits:
👉 Smooths noisy data while preserving local trends.
👉 Non-parametric: no need to assume a specific model.
👉 Adjustable span parameter for flexibility in smoothing.Perfect for visualizing trends in experimental or observational data.
#DataViz #OpenSource #FOSS #OSS #FLOSS #DataScience #DataAnalysis #Research #Data #Statistics #Physics #Engineering #OpenScience #Tech
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I'm working on a project as part of my studies where each of the major retailers in Chattanooga were to install solar arrays in each of their respective lots, and comparing each's performance throughout the year and during the best and worst months (August and December respectively).
It's still a work in progress, but can be viewed here - https://public.tableau.com/app/profile/joshua.l.4232/viz/SolarArraysforMajorRetailersinChattanoogaTN/SolarArraysAnnualData
#solarenergy #data #dataanalysis #Chattanooga #TN #Tennessee #Tableau #barchart
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Season 1 Lesson 28 Part 7 - Your First Steps in Python Regex Sub Clean Data #vibecoding #pythoncode #softwaredeveloper #softwarengineer #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #dataanalysis #codingtutorial #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 7 - Your First Steps in Python Regex Sub Clean Data #vibecoding #pythoncode #softwaredeveloper #softwarengineer #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #dataanalysis #codingtutorial #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 6 - Your First Steps in Python Regex Sub Replace Text #dataanalysis #codingtutorial #softwaredeveloper #softwarengineer #vibecoding #pythoncode #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 6 - Your First Steps in Python Regex Sub Replace Text #dataanalysis #codingtutorial #softwaredeveloper #softwarengineer #vibecoding #pythoncode #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 5 - Your First Steps in Python Regex Split Multiple Separators #pythonprogramming #azure #machinelearning #dataanalysis #codingtutorial #softwaredeveloper #softwarengineer #vibecoding #pythoncode #gcp #jupyternotebook #dataengineer #aws #python #learncoding #datascience
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Season 1 Lesson 28 Part 4 - Your First Steps in Python Regex Split Limits #softwaredeveloper #softwarengineer #datascience #vibecoding #pythonprogramming #pythoncode #azure #machinelearning #dataanalysis #codingtutorial #gcp #learncoding #python #aws #dataengineer #jupyternotebook
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Season 1 Lesson 28 Part 4 - Your First Steps in Python Regex Split Limits #softwaredeveloper #softwarengineer #datascience #vibecoding #pythonprogramming #pythoncode #azure #machinelearning #dataanalysis #codingtutorial #gcp #learncoding #python #aws #dataengineer #jupyternotebook
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University of Washington: Decades-long dataset shows which orcas are most at home in Puget Sound. “Looking at data from The Whale Museum’s Sightings Archive between 1978 and 2022, University of Washington researchers modeled migratory trends based on observations from researchers, recreational boaters and whale watchers. They found that K and L pods are visiting Puget Sound less often, but […]
https://rbfirehose.com/2026/06/26/university-of-washington-decades-long-dataset-shows-which-orcas-are-most-at-home-in-puget-sound/ -
Season 1 Lesson 27 Part 9 - Your First Steps in Python Regular Expressions Find Digits #vibecoding #pythonprogramming #aws #softwarengineer #datascience #learncoding #azure #dataengineer #dataanalysis #machinelearning #pythoncode #python #softwaredeveloper #codingtutorial #gcp #jupyternotebook
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I made Google Trends for Hacker News by indexing 18 years of comments
#HackerNews #HackerNews #GoogleTrends #DataAnalysis #TechInnovation #CommentsIndexing
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Season 1 Lesson 27 Part 8 - Your First Steps in Python Regular Expressions Plus vs Star #dataanalysis #datascience #learncoding #azure #dataengineer #vibecoding #pythonprogramming #aws #softwarengineer #machinelearning #pythoncode #jupyternotebook #softwaredeveloper #codingtutorial #gcp #python
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Season 1 Lesson 27 Part 7 - Your First Steps in Python Intro Regular Expressions Capture Groups Explained #softwaredeveloper #pythoncode #pythonprogramming #dataanalysis #aws #datascience #learncoding #azure #dataengineer #vibecoding #softwarengineer #machinelearning #jupyternotebook #codingtutorial #python #gcp
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Use data to better describe the present or better predict the future?
What can data do? Describe the current state. Detect anomalous events. Diagnose the causes of events and behaviors. Predict future events. 1- Data Collection and Storage 2- Data Preparation 3- Exploration & Visualization 4- Experimentation and Prediction -
Too many R packages: CRAN is inundated with submissions
https://rworks.dev/posts/too-many-R-packages/
#HackerNews #Rpackages #CRAN #dataanalysis #datascience #softwaredevelopment #open-source
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Very interesting study with alarming results. And we're not talking about the LLM's from big tech, but tools that are regarded as a useful deployment of pattern recognition systems.
Maybe still very useful, but we have think very carefully about the way we deploy them.
#AI #dataanalysis #patternrecognition #imageanalysis #healthcare
https://www.nature.com/articles/d41586-026-01947-1
