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SMAID-055 - . In the previous stage, the test set was fitted with statistical patterns to evaluate the sample. In this stage, the dataset was classified into <｜place▁holder▁no▁66｜> categories based on the delimitation set by the filter. The <｜place▁holder▁no▁66｜> categories were: 0-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-12, 12-13, 13-14, 14-15, 15-16, 16-17, 17-18, 18-19, 19-20, 20-21, 21-22, 22-23, 23-24, 24-25, 25-26, 26-7, 7-28, 28-29, 29-30, 30-31, 31-32, 32-33, 33-34, 34-5, 5-36, 36-7, 7-38, 38-39, 39-40, 40-41, 41-42, 42-3, 3-44, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-12, 12-13, 13-14, 14-15, 15-6, 6-7, 7-18, 18-9, 9-20, 20-21, 21-22, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-12, 12-13, 13-14, 14-1, 1-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-12, 12-13, 13-14, 14-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-12, 2-2, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-12, 12-13, 13-14, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 1-2, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10, 10-11, 11-2, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-# tourismData.csv## OverviewThis CSV file contains records of tourist activities in a certain area.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of origin of the tourist- **Count**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.## ExampleYear, Destination, Country, Count 2018, Ahmedabad, India, 4500 2018, Cochin, India, 3500 2018, Kshmgr, India, 4500 2019, Ahmedabad, India, 5000 2019, Cochin, India, 3900 2019, Kshmgr, India, 5500 ......## OverviewThis CSV file contains records of tourist activities in a certain area.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of origin of the tourist- **Count**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.# tourismData.csv## OverviewThis CSV file contains records of tourist activities in a certain area.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of origin of the tourist- **Count**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of origin of the tourist- **innerCount**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of origin of the tourist- **innerCount**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of the tourist- **innerCount**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.## Fields- **Year**: The year of the record- **Destination**: The destination visited by the tourist- **Country**: The country of the tourist- **innerCount**: The number of tourist visited the given destination in the given year## UsageThis data can be used to investigate on patterns in tourism and makd predictions to tourism trends.## Fields Random uuid id�
14 Feb 2019
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