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Dataset contains the number of tourists entered Thailand during each month in 2010-2016. Each row of the dataset contains the number of tourists to Thailand aggregated by {region, nationality, year, and month}. Source: Data World

Examples of good questions and tasks:

  • What is the trend of the visitors of Thailand during each month group by regions and/or nationality?

The types of the attributes

  1. region = categorical
  2. nationality = categorical
  3. year = quantitative

This is the dataset on Higher Education in Thailand. It contains the Universities in Thailand with their foundation year and type. Type are institute type: 1 = Public univ and colleges; 2 = National univ; 3 = Rajabhat Univ sys; 4 = Rajamangala Univ of Tech system 5 = Colleges and instit; 6 = Private Univ; 7 = Private Instit; 8= Private Colleges; 9 = Intergovl insti.

Examples of good questions and tasks:

  • How much university in each province in Thailand developed over time since 18xx?
  • The growth rate of new college over time in Thailand?
  • How many univ (categorize by each type) are distributed over Thailand?

The types of the attributes

  1. name = categorical
  2. abbre = categorical
YEAR QUARTER DISTRICT KP TX_NEW TX_CURR
2020 3 3 MSM 10 131
2020 3 3 UNKNOWN 23 618
2020 3 3 PWID 0 0
2020 3 10 UNKNOWN 47 434
2020 3 32 UNKNOWN 23 627
2020 3 11 Partner of HIV+ 0 16
2020 3 11 UNKNOWN 37 1003
2020 3 11 MSM 5 56
2020 3 -1 UNKNOWN 467 16612