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- Spatial proximity based clustering of customers
- Testing tidycovid19, a covid19 data interface in R
- Geocoding spatial data with tidygeocoder in R
- Map-based scatter plots with deckgl in R
- Geocoding with osmdata in R
- Leaflet heatmaps in R
- Forecasting US automotive industry production output with simple moving average
- CAGR-based forecasting, using OICA production data (in R)
- Testing “coronavirus”, a package in R for accessing data from J.H. university
- OICA production output statistics for automotive industry (R analysis)
- EPA data analyzed in R for visualizing US powertrain shares
- Analyzing used car prices with German ebay postings from 2016 (kaggle, R)
- Public fuel consumption data from data.gov, for Montgomery county – visualized in R
- Plotting carsalesbase total annual US vehicle sales data (using R)
- VDA time series data on German automotive industry, analyzed in R
- Time series of hourly earnings in US automotive industry (bls.gov), analyzed in R
- Solving linear problem with fuzzy constraints by sampling beta with FuzzyLP in R
- Linear optimization with fuzzy constraints conducted in R with FuzzyLP
- Simple linear problem with FuzzyLP, using crispLP and basic simplex
- Comparing different German transport sectors by volume, using OECD data in R
- Applying fredr package in R: Analyzing FRED domestic car production data for USA
- K-Means clustering performed on OECD data in R
- OECD GDP data analysis in R
- OECD package (interface) in R: Reading (German) freight transport data from OECD directly in R
- Gradient descent in R, for non-linear optimization (nloptr package)
- Cost minimal production scheduling – solving the assignment problem with lpSolve in R
- Solving linear transport problem with lp.transport in R, using lpSolve
- Simple linear programming with integer variables in R, using lpSolve
- Solving a simple linear programming problem using lpSolve in R
- Locating multiple warehouses at center of mass (using R)
- Proximity-based spatial customer grouping (in R)
- R code for constructing a cost matrix for discrete warehouse location problems
- Warehouse assignment problem: Assigning customers to nearest warehouse (using R)
- Single warehouse problem: Locating warehouse at center of mass (using R)
- Coding a Leaflet Shiny App for drawing heatmaps
- Using deckgl in R for spatial data visualisation
- Map plots in R with ggplot2
- Map-based point and density plots in R, using ggmap