100 most popular pages

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