IBM SPSS Web Report - 051_MIII_descrD_TR.spv

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Separator Separator
A
   
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:18
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V4_6
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Frequencies
StatisticsStatistics, table, V4_6 Your place of residence: Country, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V4_6 Your place of residence: Country V4_6 Your place of residence: Country
N Valid 1083
Missing 0
Frequencies
V4_6 Your place of residence: CountryV4_6 Your place of residence: Country, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 3 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 3 Romania - TR 1083 100,0 100,0 100,0
Log

FREQUENCIES VARIABLES=V3_1
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:18
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_1
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,27
Frequencies
StatisticsStatistics, table, V3_1 How has the COVID pandemic changed your travel habits?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_1 How has the COVID pandemic changed your travel habits? V3_1 How has the COVID pandemic changed your travel habits?
N Valid 1075
Missing 8
Frequencies
V3_1 How has the COVID pandemic changed your travel habits?V3_1 How has the COVID pandemic changed your travel habits?, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 it is not affected at all 126 11,6 11,7 11,7
2 95 8,8 8,8 20,6
3 75 6,9 7,0 27,5
4 87 8,0 8,1 35,6
5 148 13,7 13,8 49,4
6 130 12,0 12,1 61,5
7 123 11,4 11,4 72,9
8 139 12,8 12,9 85,9
9 50 4,6 4,7 90,5
10 reduced it very significantly 102 9,4 9,5 100,0
Total 1075 99,3 100,0  
Missing System 8 ,7    
Total 1083 100,0    
Frequencies
How has the COVID pandemic changed your travel habits?: reduced it very significantly Percent: 9,4884 How has the COVID pandemic changed your travel habits?: reduced it very significantly Percent: 9,4884 How has the COVID pandemic changed your travel habits?: 9 Percent: 4,6512 How has the COVID pandemic changed your travel habits?: 9 Percent: 4,6512 How has the COVID pandemic changed your travel habits?: 8 Percent: 12,930 How has the COVID pandemic changed your travel habits?: 8 Percent: 12,930 How has the COVID pandemic changed your travel habits?: 7 Percent: 11,442 How has the COVID pandemic changed your travel habits?: 7 Percent: 11,442 How has the COVID pandemic changed your travel habits?: 6 Percent: 12,093 How has the COVID pandemic changed your travel habits?: 6 Percent: 12,093 How has the COVID pandemic changed your travel habits?: 5 Percent: 13,767 How has the COVID pandemic changed your travel habits?: 5 Percent: 13,767 How has the COVID pandemic changed your travel habits?: 4 Percent: 8,0930 How has the COVID pandemic changed your travel habits?: 4 Percent: 8,0930 How has the COVID pandemic changed your travel habits?: 3 Percent: 6,9767 How has the COVID pandemic changed your travel habits?: 3 Percent: 6,9767 How has the COVID pandemic changed your travel habits?: 2 Percent: 8,8372 How has the COVID pandemic changed your travel habits?: 2 Percent: 8,8372 How has the COVID pandemic changed your travel habits?: it is not affected at all Percent: 11,721 How has the COVID pandemic changed your travel habits?: it is not affected at all Percent: 11,721 0,0 2,5 5,0 7,5 10,0 12,5 12,5 10,0 7,5 5,0 2,5 0,0 it is not affected at all 2 3 4 5 6 7 8 9 reduced it very significantly reduced it very significantly 9 8 7 6 5 4 3 2 it is not affected at all
Log

EXAMINE VARIABLES=V3_1
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:18
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_1
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_1 How has the COVID pandemic changed your travel habits? 1075 99,3% 8 0,7% 1083 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_1 How has the COVID pandemic changed your travel habits? Mean 5,44 ,085
95% Confidence Interval for Mean Lower Bound 5,28  
Upper Bound 5,61  
5% Trimmed Mean 5,44  
Median 6,00  
Variance 7,700  
Std. Deviation 2,775  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,070 ,075
Kurtosis -1,047 ,149
Log

FREQUENCIES VARIABLES=V3_2
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:18
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_2
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,25
Elapsed Time 00:00:00,27
Frequencies
StatisticsStatistics, table, V3_2 How have your travels changed since opening? (2021 main season), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_2 How have your travels changed since opening? (2021 main season) V3_2 How have your travels changed since opening? (2021 main season)
N Valid 1077
Missing 6
Frequencies
V3_2 How have your travels changed since opening? (2021 main season)V3_2 How have your travels changed since opening? (2021 main season), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 I traveled less 105 9,7 9,7 9,7
2 64 5,9 5,9 15,7
3 111 10,2 10,3 26,0
4 107 9,9 9,9 35,9
5 199 18,4 18,5 54,4
6 102 9,4 9,5 63,9
7 115 10,6 10,7 74,6
8 101 9,3 9,4 83,9
9 58 5,4 5,4 89,3
10 I traveled more 115 10,6 10,7 100,0
Total 1077 99,4 100,0  
Missing System 6 ,6    
Total 1083 100,0    
Frequencies
How have your travels changed since opening? (2021 main season): I traveled more Percent: 10,678 How have your travels changed since opening? (2021 main season): I traveled more Percent: 10,678 How have your travels changed since opening? (2021 main season): 9 Percent: 5,3853 How have your travels changed since opening? (2021 main season): 9 Percent: 5,3853 How have your travels changed since opening? (2021 main season): 8 Percent: 9,3779 How have your travels changed since opening? (2021 main season): 8 Percent: 9,3779 How have your travels changed since opening? (2021 main season): 7 Percent: 10,678 How have your travels changed since opening? (2021 main season): 7 Percent: 10,678 How have your travels changed since opening? (2021 main season): 6 Percent: 9,4708 How have your travels changed since opening? (2021 main season): 6 Percent: 9,4708 How have your travels changed since opening? (2021 main season): 5 Percent: 18,477 How have your travels changed since opening? (2021 main season): 5 Percent: 18,477 How have your travels changed since opening? (2021 main season): 4 Percent: 9,9350 How have your travels changed since opening? (2021 main season): 4 Percent: 9,9350 How have your travels changed since opening? (2021 main season): 3 Percent: 10,306 How have your travels changed since opening? (2021 main season): 3 Percent: 10,306 How have your travels changed since opening? (2021 main season): 2 Percent: 5,9424 How have your travels changed since opening? (2021 main season): 2 Percent: 5,9424 How have your travels changed since opening? (2021 main season): I traveled less Percent: 9,7493 How have your travels changed since opening? (2021 main season): I traveled less Percent: 9,7493 0 5 10 15 20 20 15 10 5 0 I traveled less 2 3 4 5 6 7 8 9 I traveled more I traveled more 9 8 7 6 5 4 3 2 I traveled less
Log

EXAMINE VARIABLES=V3_2
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_2
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_2 How have your travels changed since opening? (2021 main season) 1077 99,4% 6 0,6% 1083 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_2 How have your travels changed since opening? (2021 main season) Mean 5,47 ,082
95% Confidence Interval for Mean Lower Bound 5,30  
Upper Bound 5,63  
5% Trimmed Mean 5,46  
Median 5,00  
Variance 7,294  
Std. Deviation 2,701  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,063 ,075
Kurtosis -,934 ,149
Log

FREQUENCIES VARIABLES=V3_3
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_3
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,20
Elapsed Time 00:00:00,20
Frequencies
StatisticsStatistics, table, V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?
N Valid 1079
Missing 4
Frequencies
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather domestic 197 18,2 18,3 18,3
2 87 8,0 8,1 26,3
3 69 6,4 6,4 32,7
4 66 6,1 6,1 38,8
5 153 14,1 14,2 53,0
6 85 7,8 7,9 60,9
7 81 7,5 7,5 68,4
8 94 8,7 8,7 77,1
9 67 6,2 6,2 83,3
10 rather abroad 180 16,6 16,7 100,0
Total 1079 99,6 100,0  
Missing System 4 ,4    
Total 1083 100,0    
Frequencies
How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather abroad Percent: 16,682 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather abroad Percent: 16,682 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 9 Percent: 6,2095 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 9 Percent: 6,2095 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 8 Percent: 8,7118 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 8 Percent: 8,7118 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 7 Percent: 7,5070 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 7 Percent: 7,5070 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 6 Percent: 7,8777 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 6 Percent: 7,8777 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 5 Percent: 14,180 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 5 Percent: 14,180 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 4 Percent: 6,1168 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 4 Percent: 6,1168 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 3 Percent: 6,3948 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 3 Percent: 6,3948 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 2 Percent: 8,0630 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 2 Percent: 8,0630 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather domestic Percent: 18,258 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather domestic Percent: 18,258 0 5 10 15 20 20 15 10 5 0 rather domestic 2 3 4 5 6 7 8 9 rather abroad rather abroad 9 8 7 6 5 4 3 2 rather domestic
Frequencies
How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 14,048 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 14,048 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 10,444 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 10,444 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 15,989 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 15,989 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 10,628 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 10,628 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 8,7800 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 8,7800 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 12,754 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 12,754 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 8,0407 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 8,0407 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 4,9908 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 4,9908 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 4,8983 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 4,8983 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 9,4270 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 9,4270 0 5 10 15 20 20 15 10 5 0 rather domestic 2 3 4 5 6 7 8 9 rather abroad rather abroad 9 8 7 6 5 4 3 2 rather domestic
Log

EXAMINE VARIABLES=V3_3
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_3
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? 1079 99,6% 4 0,4% 1083 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? Mean 5,41 ,097
95% Confidence Interval for Mean Lower Bound 5,22  
Upper Bound 5,60  
5% Trimmed Mean 5,40  
Median 5,00  
Variance 10,131  
Std. Deviation 3,183  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 6  
Skewness ,027 ,074
Kurtosis -1,330 ,149
Log

FREQUENCIES VARIABLES=V3_4
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_4
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,23
Elapsed Time 00:00:00,23
Frequencies
StatisticsStatistics, table, V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?)
N Valid 1077
Missing 6
Frequencies
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?)V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather a long rest (min. 6 nights) 163 15,1 15,1 15,1
2 92 8,5 8,5 23,7
3 86 7,9 8,0 31,7
4 85 7,8 7,9 39,6
5 96 8,9 8,9 48,5
6 95 8,8 8,8 57,3
7 97 9,0 9,0 66,3
8 116 10,7 10,8 77,1
9 99 9,1 9,2 86,3
10 more short (one day) 148 13,7 13,7 100,0
Total 1077 99,4 100,0  
Missing System 6 ,6    
Total 1083 100,0    
Frequencies
How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): more short (one day) Percent: 13,742 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): more short (one day) Percent: 13,742 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 9 Percent: 9,1922 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 9 Percent: 9,1922 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 8 Percent: 10,771 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 8 Percent: 10,771 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 7 Percent: 9,0065 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 7 Percent: 9,0065 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 6 Percent: 8,8208 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 6 Percent: 8,8208 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 5 Percent: 8,9136 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 5 Percent: 8,9136 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 4 Percent: 7,8923 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 4 Percent: 7,8923 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 3 Percent: 7,9851 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 3 Percent: 7,9851 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 2 Percent: 8,5422 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 2 Percent: 8,5422 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 15,135 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 15,135 0 5 10 15 20 20 15 10 5 0 rather a long rest (min. 6 nights) 2 3 4 5 6 7 8 9 more short (one day) more short (one day) 9 8 7 6 5 4 3 2 rather a long rest (min. 6 nights)
Frequencies
How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 9,4270 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 9,4270 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 9,7043 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 9,7043 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 10,444 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 10,444 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 7,5786 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 7,5786 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 7,7634 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 7,7634 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 9,0573 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 9,0573 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 9,6118 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 9,6118 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 10,259 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 10,259 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 11,738 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 11,738 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 14,418 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 14,418 0 5 10 15 15 10 5 0 rather a long rest (min. 6 nights) 2 3 4 5 6 7 8 9 more short (one day) more short (one day) 9 8 7 6 5 4 3 2 rather a long rest (min. 6 nights)
Log

EXAMINE VARIABLES=V3_4
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_4
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) 1077 99,4% 6 0,6% 1083 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) Mean 5,55 ,095
95% Confidence Interval for Mean Lower Bound 5,36  
Upper Bound 5,73  
5% Trimmed Mean 5,55  
Median 6,00  
Variance 9,624  
Std. Deviation 3,102  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,062 ,075
Kurtosis -1,341 ,149
Log

FREQUENCIES VARIABLES=V3_5
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_5
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,23
Elapsed Time 00:00:00,23
Frequencies
StatisticsStatistics, table, V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?)
N Valid 1078
Missing 5
Frequencies
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?)V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather mountains 114 10,5 10,6 10,6
2 53 4,9 4,9 15,5
3 60 5,5 5,6 21,1
4 47 4,3 4,4 25,4
5 118 10,9 10,9 36,4
6 89 8,2 8,3 44,6
7 77 7,1 7,1 51,8
8 101 9,3 9,4 61,1
9 95 8,8 8,8 69,9
10 more like a waterside 324 29,9 30,1 100,0
Total 1078 99,5 100,0  
Missing System 5 ,5    
Total 1083 100,0    
Frequencies
How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): more like a waterside Percent: 30,056 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): more like a waterside Percent: 30,056 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 9 Percent: 8,8126 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 9 Percent: 8,8126 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 8 Percent: 9,3692 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 8 Percent: 9,3692 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 7 Percent: 7,1429 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 7 Percent: 7,1429 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 6 Percent: 8,2560 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 6 Percent: 8,2560 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 5 Percent: 10,946 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 5 Percent: 10,946 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 4 Percent: 4,3599 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 4 Percent: 4,3599 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 3 Percent: 5,5659 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 3 Percent: 5,5659 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 2 Percent: 4,9165 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 2 Percent: 4,9165 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): rather mountains Percent: 10,575 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): rather mountains Percent: 10,575 0 10 20 30 40 40 30 20 10 0 rather mountains 2 3 4 5 6 7 8 9 more like a waterside more like a waterside 9 8 7 6 5 4 3 2 rather mountains
Frequencies
How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 28,955 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 28,955 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 12,673 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 12,673 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 12,858 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 12,858 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 6,1055 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 6,1055 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 7,7706 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 7,7706 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 13,043 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 13,043 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 3,7003 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 3,7003 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 5,5504 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 5,5504 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 2,5902 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 2,5902 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 6,7530 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 6,7530 0 10 20 30 30 20 10 0 rather mountains 2 3 4 5 6 7 8 9 more like a waterside more like a waterside 9 8 7 6 5 4 3 2 rather mountains
Log

EXAMINE VARIABLES=V3_5
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:19
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_5
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) 1078 99,5% 5 0,5% 1083 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) Mean 6,64 ,096
95% Confidence Interval for Mean Lower Bound 6,45  
Upper Bound 6,82  
5% Trimmed Mean 6,76  
Median 7,00  
Variance 9,868  
Std. Deviation 3,141  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 6  
Skewness -,484 ,075
Kurtosis -1,110 ,149
Log

FREQUENCIES VARIABLES=V3_6
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:26:20
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_6
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,25
Elapsed Time