LabPlot
#LabPlot is a FREE, #opensource and cross-platform data #visualization and #analysis software accessible to everyone and trusted by professionals.
• High-quality interactive plotting
• Reliable data analysis, statistics, regression, curve and peak fitting
• Computing with interactive Notebooks (Python R Maxima Octave and more)
• Data extraction from plots and support for live data
• Data import and export (many file formats)
• Runs on Windows, macOS, Linux
Partly funded through #NGI Zero Core.
- 11 Posts
- 9 Comments
1·8 months agoAustralia is the next country after Ethiopia, but it’s not outlier in this case.
You can read more on boxplots here:
12·1 year agoOur Christmas tree includes a test to check if our readers are humans 😉
Let’s just assume that the Christmas tree includes a test to check if our readers are humans 🙂
The process average X and control limits are added to the plot for men. The average is 63.4. The upper control limit (UCL) is 64.8 and the lower control limit (LCL) is 62.0.
The UCL represents the largest value you would expect if you only have common causes of variation present. The LCL represents the smallest value you would expect if you only have common causes of variation present.
deleted by creator
@dataisbeautiful !health@lemmy.world !labplot@lemmy.kde.social
@Generous1146Actually, it looks more like the disability-free life expectancy has increased in 2015 and since then stays at about the same level.
#DataViz #Statistics #Visualization #Health #Disability #LabPlot #OpenSource #FOSS
@dataisbeautiful @health @labplot@lemmy.kde.social
According to the Eurostat, in 2021, the number of healthy life years at birth was estimated at 64.2 years for women and 63.1 years for men in the EU, this represented approximately 77.4 % and 81.7 % of the total life expectancy for women and men.
@opensource @dumnezero
It depends on the expected functionality. You can check the existing features here:
➡️ https://labplot.org/features
We are currently working on expanding #LabPlot’s functionality in these areas:
▶️ Live Data Analysis
▶️ #Python Scripting
▶️ Statistical Analysis
▶️ Quality Improvement Charts