100 most popular pages

  1. Error, trend, seasonality - ets and its forecast model friends
  2. Timeseries forecasting using extreme gradient boosting
  3. R Markdown for documents with logos, watermarks, and corporate styles
  4. Exploring propensity score matching and weighting
  5. Better prediction intervals for time series forecasts
  6. Cross-validation of topic modelling
  7. Why time series forecasts prediction intervals aren't as good as we'd hope
  8. Dual axes time series plots may be ok sometimes after all
  9. Bootstrap and cross-validation for evaluating modelling strategies
  10. Skill v luck in determining backgammon winners
  11. Extrapolation is tough for trees!
  12. Books I like
  13. Relative risk ratios and odds ratios
  14. Sparse matrices, k-means clustering, topic modelling with posts on the 2004 US Presidential election
  15. Dual axes time series plots with various more awkward data
  16. about free range statistics
  17. Dynamic Stochastic General Equilibrium models made (relatively) easy with R
  18. Fifteen New Zealand government Shiny web apps
  19. X13-SEATS-ARIMA as an automated forecasting tool
  20. FiveThirtyEight's polling data for the US Presidential election
  21. Some quirks with R and SQL Server
  22. Extreme pie chart polishing
  23. Success rates of appeals to the Supreme Court by Circuit
  24. Simulations to explore excessive lagged X variables in time series modelling
  25. Seasonal decomposition in the ggplot2 universe with ggseas
  26. Why you need version control
  27. Setting up RStudio Server, Shiny Server and PostgreSQL
  28. Sampling distribution of weighted Gini coefficient
  29. New Zealand fatal traffic crashes
  30. Announcing new forecastHybrid package
  31. Create ARIMA time series from bottom up
  32. Elastic net regularization of a model of burned calories
  33. How to recruit data analysts for the public sector
  34. Truncated Poisson distributions in R and Stan
  35. Seasonal adjusment on the fly with X-13ARIMA-SEATS, seasonal and ggplot2
  36. Estimating Gini coefficient when we only have mean income by decile
  37. State-space modelling of the Australian 2007 federal election
  38. Tourism forecasting competition data in the Tcomp R package
  39. Weighted survey data with Power BI compared to dplyr, SQL or survey
  40. Time series intervention analysis with fuel prices
  41. Actual coverage of confidence intervals for standard deviation
  42. Demystifying life expectancy calculations
  43. US Presidential inauguration speeches
  44. Number of births in the twentieth century
  45. Moving largish data from R to H2O - spam detection with Enron emails
  46. Extracting data on shadow economy from PDF tables
  47. Creating a scale transformation
  48. Sampling distribution of Gini coefficient
  49. Books I liked in 2017
  50. Simulating backgammon players' Elo ratings
  51. How to compare two blackbox timeseries generators?
  52. Leading indicators of economic growth
  53. Sankey charts for swinging voters
  54. Animated world inequality map
  55. Visual contrast of two robust regression methods
  56. Explore with Shiny the impact of sample size on "p-charts"
  57. Linear model with time series random component
  58. Success rates of automated ARIMA fitting
  59. Demography simulations
  60. Global choropleth maps of military expenditure
  61. Air quality in Indian cities
  62. Does seasonally adjusting first help forecasting?
  63. Autocorrelation functions of materially different time series
  64. Inter-country inequality and the World Development Indicators
  65. Business confidence and economic growth
  66. Data from the World Health Organization API
  67. Importance of exports and economic growth, cross-country time series
  68. Transforming the breaks to match a scale
  69. Luke-warm about micromaps
  70. Impact of omitted variables on estimating causal effects - simulations
  71. Election analysis contest entry part 1 - introducing the nzelect R package
  72. Survey books, courses and tools
  73. forecastHybrid 0.3.0 on CRAN
  74. Modelling individual party vote from the 2014 New Zealand election study
  75. Simulating simple dice games
  76. Counting digits
  77. Network charts of commuting in New Zealand with R and D3
  78. Declining sea ice in the Arctic
  79. Spend on petrol by income
  80. Update of `ggseas` for seasonal decomposition on the fly
  81. Average spend, activities and length of visit in the NZ International Visitor Survey
  82. Rents in Melbourne
  83. Cartograms of New Zealand census data
  84. Visualising relationships between children's books
  85. New Zealand 2017 election results
  86. ggseas package for seasonal adjustment on the fly with ggplot2
  87. New Zealand Tourism Dashboard pushes Shiny to the max
  88. Election analysis contest entry part 3 - interactive exploration of voting locations with leaflet and Shiny
  89. Suppressed data (left-censored counts)
  90. More things with the New Zealand Election Study
  91. Improving state-space modelling of the Australian 2007 federal election
  92. nzcensus on GitHub
  93. New Zealand election forecasts
  94. Seasonality of plagues
  95. Deaths from assault over time in 40 relatively rich countries
  96. Filling in the gaps - highly granular estimates of income and population for New Zealand from survey data
  97. Inequality measures in the World Development Indicators
  98. Visualising an ethnicity statistical classification
  99. Stats NZ encouraging active sharing for microdata access projects
  100. Who turned out to vote in the 2014 New Zealand general election?