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