4 Smart Visualizations for Supply Chain Descriptive Analytics
visualization python supply-chain treemap logistics supplychain donut-chart sankey-chart pareto-chart
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pareto-chart
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Collaborative real-time Pareto analysis for root cause prioritization. Brainstorm, vote, and visualize with live Pareto charts.
education firebase real-time vanilla-javascript data-visualization collaborative root-cause-analysis pareto-chart workshop-tool
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- JavaScript
How to create a Pareto Chart using Pandas and Matplotib.
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Performed Data Visualisation using Excel. Showing Bar & Column Charts, Line Chart, Area Chart, Pie-Donut, Pie-of-Pie, Histogram and Pareto, Boxplot & Outliers, Heatmap, Combo Chart, Sparkles, Dynamic Chart and Scatter Plot.
heatmap histogram barchart area-chart outliers scatter-plot combo-chart boxplot pie-charts sparklines dynamic-chart column-chart line-chart pareto-chart
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Salary analysis of all active, permanent employees of Montgomery County, MD paid in 2023. Descriprive Statystics, Histogram, Pareto analysis, Correlation and more.
data statistics correlation analytics excel histogram descriptive-statistics canvas-animation pareto-chart pareto-analysis
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This sample demonstrates how to create a Pareto Chart to Identify Key Customer Complaints using .NET MAUI (SfCartesianChart).
data-visualization charting maui pareto-chart pareto-analysis pareto-diagram pareto-distribution-diagram data-prioritization-chart
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- C#
Developed by the Italian engineer Vilfredo Pareto, the chart provides a graphic representation of the Pareto principle, a theory maintaining that 80% of the output in a given system is produced by 20% of the input (i.e. defects, mistakes, errors). The chart aims to identify the vital few (~20%) inputs from the insignificant many (~80%).
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Python/Streamlit FMEA Risk Prioritization Tool — automated RPN scoring, AIAG FMEA-4 flagging, Pareto + heatmap reports for manufacturing quality workflows
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- Python
This project is focused on evaluating vendor effectiveness. An ETL pipeline is employed to load large dataset, data integrity has been ensured by cleaning values and generating new financial metrics and statistical methods like quadrant analysis and hypothesis testing are used to generate insights.
sqlalchemy python-script data-transformation hypothesis-testing chunked-uploads correlation-analysis etl-pipeline descriptive-analysis pareto-chart power-bi-visualizations quantile-analysis two-tail-t-test
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