Overview

Dataset statistics

Number of variables12
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory108.6 B

Variable types

Categorical3
Numeric9

Dataset

Description경상남도 거창군 내 관광지별 방문객수에 대한 데이터로 10대 이하, 20대, 30대, 40대, 50대, 60대, 70대 이상 10년단위 나이별로 제공합니다.
URLhttps://www.data.go.kr/data/15086111/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
총 방문수 is highly overall correlated with 10대 이하 방문수 and 5 other fieldsHigh correlation
10대 이하 방문수 is highly overall correlated with 총 방문수 and 3 other fieldsHigh correlation
20대 방문수 is highly overall correlated with 총 방문수 and 3 other fieldsHigh correlation
30대 방문수 is highly overall correlated with 10대 이하 방문수 and 3 other fieldsHigh correlation
40대 방문수 is highly overall correlated with 총 방문수 and 4 other fieldsHigh correlation
50대 방문수 is highly overall correlated with 총 방문수 and 3 other fieldsHigh correlation
60대 방문수 is highly overall correlated with 총 방문수 and 2 other fieldsHigh correlation
70대 이상 방문수 is highly overall correlated with 총 방문수 and 2 other fieldsHigh correlation
관광지명 is highly overall correlated with 30대 방문수High correlation
총 방문수 has unique valuesUnique
40대 방문수 has unique valuesUnique
50대 방문수 has unique valuesUnique
60대 방문수 has unique valuesUnique
70대 이상 방문수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:35:31.299332
Analysis finished2023-12-12 05:35:41.093922
Duration9.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2022
24 
2021
14 
2023
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 24
48.0%
2021 14
28.0%
2023 12
24.0%

Length

2023-12-12T14:35:41.161395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:41.318472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 24
48.0%
2021 14
28.0%
2023 12
24.0%

월
Real number (ℝ)

Distinct12
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.48
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:41.452633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4180792
Coefficient of variation (CV)0.52748136
Kurtosis-1.1384223
Mean6.48
Median Absolute Deviation (MAD)3
Skewness0.018152252
Sum324
Variance11.683265
MonotonicityNot monotonic
2023-12-12T14:35:41.557925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 6
12.0%
7 4
8.0%
8 4
8.0%
9 4
8.0%
10 4
8.0%
11 4
8.0%
12 4
8.0%
1 4
8.0%
2 4
8.0%
3 4
8.0%
Other values (2) 8
16.0%
ValueCountFrequency (%)
1 4
8.0%
2 4
8.0%
3 4
8.0%
4 4
8.0%
5 4
8.0%
6 6
12.0%
7 4
8.0%
8 4
8.0%
9 4
8.0%
10 4
8.0%
ValueCountFrequency (%)
12 4
8.0%
11 4
8.0%
10 4
8.0%
9 4
8.0%
8 4
8.0%
7 4
8.0%
6 6
12.0%
5 4
8.0%
4 4
8.0%
3 4
8.0%

관광지명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
가조온천
25 
수승대
25 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가조온천
2nd row가조온천
3rd row가조온천
4th row가조온천
5th row가조온천

Common Values

ValueCountFrequency (%)
가조온천 25
50.0%
수승대 25
50.0%

Length

2023-12-12T14:35:41.720413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:41.817809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가조온천 25
50.0%
수승대 25
50.0%

총 방문수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19104.4
Minimum6190
Maximum41474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:41.958014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6190
5-th percentile8938.8
Q115427.5
median19106
Q321591.75
95-th percentile28325
Maximum41474
Range35284
Interquartile range (IQR)6164.25

Descriptive statistics

Standard deviation6518.7505
Coefficient of variation (CV)0.34121723
Kurtosis2.7697875
Mean19104.4
Median Absolute Deviation (MAD)3479.5
Skewness0.92130216
Sum955220
Variance42494108
MonotonicityNot monotonic
2023-12-12T14:35:42.165207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14228 1
 
2.0%
37245 1
 
2.0%
13032 1
 
2.0%
20493 1
 
2.0%
13503 1
 
2.0%
7875 1
 
2.0%
21599 1
 
2.0%
19293 1
 
2.0%
6190 1
 
2.0%
11687 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
6190 1
2.0%
6218 1
2.0%
7875 1
2.0%
10239 1
2.0%
11687 1
2.0%
13032 1
2.0%
13496 1
2.0%
13503 1
2.0%
14228 1
2.0%
14493 1
2.0%
ValueCountFrequency (%)
41474 1
2.0%
37245 1
2.0%
29090 1
2.0%
27390 1
2.0%
26144 1
2.0%
26107 1
2.0%
24463 1
2.0%
24009 1
2.0%
23671 1
2.0%
22776 1
2.0%

10대 이하 방문수
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean968.16
Minimum162
Maximum3693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:42.363654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile216.85
Q1473
median703.5
Q31117.75
95-th percentile3064.95
Maximum3693
Range3531
Interquartile range (IQR)644.75

Descriptive statistics

Standard deviation859.37684
Coefficient of variation (CV)0.88763927
Kurtosis3.3598382
Mean968.16
Median Absolute Deviation (MAD)269.5
Skewness1.992663
Sum48408
Variance738528.55
MonotonicityNot monotonic
2023-12-12T14:35:42.547466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
676 2
 
4.0%
381 1
 
2.0%
1263 1
 
2.0%
2332 1
 
2.0%
681 1
 
2.0%
1084 1
 
2.0%
464 1
 
2.0%
390 1
 
2.0%
3580 1
 
2.0%
935 1
 
2.0%
Other values (39) 39
78.0%
ValueCountFrequency (%)
162 1
2.0%
172 1
2.0%
193 1
2.0%
246 1
2.0%
276 1
2.0%
294 1
2.0%
322 1
2.0%
333 1
2.0%
381 1
2.0%
390 1
2.0%
ValueCountFrequency (%)
3693 1
2.0%
3580 1
2.0%
3132 1
2.0%
2983 1
2.0%
2668 1
2.0%
2332 1
2.0%
1414 1
2.0%
1401 1
2.0%
1304 1
2.0%
1263 1
2.0%

20대 방문수
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1430.78
Minimum434
Maximum4834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:42.704645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum434
5-th percentile641.45
Q11004.75
median1225
Q31420.75
95-th percentile3852.25
Maximum4834
Range4400
Interquartile range (IQR)416

Descriptive statistics

Standard deviation930.7814
Coefficient of variation (CV)0.65054124
Kurtosis5.7464817
Mean1430.78
Median Absolute Deviation (MAD)214
Skewness2.4007056
Sum71539
Variance866354.01
MonotonicityNot monotonic
2023-12-12T14:35:42.877183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1267 3
 
6.0%
1386 2
 
4.0%
1071 2
 
4.0%
1048 1
 
2.0%
802 1
 
2.0%
664 1
 
2.0%
1388 1
 
2.0%
674 1
 
2.0%
623 1
 
2.0%
670 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
434 1
2.0%
525 1
2.0%
623 1
2.0%
664 1
2.0%
670 1
2.0%
674 1
2.0%
742 1
2.0%
802 1
2.0%
812 1
2.0%
821 1
2.0%
ValueCountFrequency (%)
4834 1
2.0%
4442 1
2.0%
4012 1
2.0%
3657 1
2.0%
2401 1
2.0%
2265 1
2.0%
1834 1
2.0%
1825 1
2.0%
1642 1
2.0%
1572 1
2.0%

30대 방문수
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2101.34
Minimum592
Maximum6099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:43.026912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum592
5-th percentile866.9
Q11433.75
median1754
Q32285.5
95-th percentile4878.8
Maximum6099
Range5507
Interquartile range (IQR)851.75

Descriptive statistics

Standard deviation1171.2747
Coefficient of variation (CV)0.55739416
Kurtosis3.3264539
Mean2101.34
Median Absolute Deviation (MAD)363.5
Skewness1.8266931
Sum105067
Variance1371884.3
MonotonicityNot monotonic
2023-12-12T14:35:43.194342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2401 2
 
4.0%
2044 2
 
4.0%
3087 1
 
2.0%
4793 1
 
2.0%
2648 1
 
2.0%
2824 1
 
2.0%
1384 1
 
2.0%
1597 1
 
2.0%
6099 1
 
2.0%
1836 1
 
2.0%
Other values (38) 38
76.0%
ValueCountFrequency (%)
592 1
2.0%
733 1
2.0%
767 1
2.0%
989 1
2.0%
1148 1
2.0%
1183 1
2.0%
1211 1
2.0%
1264 1
2.0%
1300 1
2.0%
1384 1
2.0%
ValueCountFrequency (%)
6099 1
2.0%
5411 1
2.0%
4949 1
2.0%
4793 1
2.0%
4099 1
2.0%
3270 1
2.0%
3087 1
2.0%
3000 1
2.0%
2824 1
2.0%
2648 1
2.0%

40대 방문수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3048.02
Minimum938
Maximum7819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:43.361190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum938
5-th percentile1444.7
Q12380.25
median2743.5
Q33375
95-th percentile5834.55
Maximum7819
Range6881
Interquartile range (IQR)994.75

Descriptive statistics

Standard deviation1285.8368
Coefficient of variation (CV)0.4218597
Kurtosis4.1619121
Mean3048.02
Median Absolute Deviation (MAD)455.5
Skewness1.7497156
Sum152401
Variance1653376.3
MonotonicityNot monotonic
2023-12-12T14:35:43.535515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2247 1
 
2.0%
6069 1
 
2.0%
2292 1
 
2.0%
3606 1
 
2.0%
2024 1
 
2.0%
1361 1
 
2.0%
6600 1
 
2.0%
2258 1
 
2.0%
1021 1
 
2.0%
2095 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
938 1
2.0%
1021 1
2.0%
1361 1
2.0%
1547 1
2.0%
2024 1
2.0%
2095 1
2.0%
2247 1
2.0%
2258 1
2.0%
2272 1
2.0%
2280 1
2.0%
ValueCountFrequency (%)
7819 1
2.0%
6600 1
2.0%
6069 1
2.0%
5548 1
2.0%
4952 1
2.0%
4304 1
2.0%
4067 1
2.0%
3616 1
2.0%
3607 1
2.0%
3606 1
2.0%

50대 방문수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5297.5
Minimum1763
Maximum10168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:43.768847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1763
5-th percentile2029.75
Q14121
median5415
Q36695
95-th percentile7767.7
Maximum10168
Range8405
Interquartile range (IQR)2574

Descriptive statistics

Standard deviation1891.1604
Coefficient of variation (CV)0.35699111
Kurtosis-0.26949618
Mean5297.5
Median Absolute Deviation (MAD)1306
Skewness0.008981376
Sum264875
Variance3576487.6
MonotonicityNot monotonic
2023-12-12T14:35:43.975290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4053 1
 
2.0%
8617 1
 
2.0%
2691 1
 
2.0%
5786 1
 
2.0%
4575 1
 
2.0%
1867 1
 
2.0%
2071 1
 
2.0%
1996 1
 
2.0%
1763 1
 
2.0%
2910 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1763 1
2.0%
1867 1
2.0%
1996 1
2.0%
2071 1
2.0%
2177 1
2.0%
2691 1
2.0%
2910 1
2.0%
3334 1
2.0%
3486 1
2.0%
3774 1
2.0%
ValueCountFrequency (%)
10168 1
2.0%
8617 1
2.0%
7774 1
2.0%
7760 1
2.0%
7630 1
2.0%
7511 1
2.0%
7266 1
2.0%
7126 1
2.0%
7052 1
2.0%
6983 1
2.0%

60대 방문수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4708.58
Minimum996
Maximum11050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:44.137902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum996
5-th percentile1493.25
Q13325
median4562.5
Q36089.5
95-th percentile8291.6
Maximum11050
Range10054
Interquartile range (IQR)2764.5

Descriptive statistics

Standard deviation2142.5411
Coefficient of variation (CV)0.45502913
Kurtosis0.38359622
Mean4708.58
Median Absolute Deviation (MAD)1477
Skewness0.56985387
Sum235429
Variance4590482.2
MonotonicityNot monotonic
2023-12-12T14:35:44.333882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2348 1
 
2.0%
7581 1
 
2.0%
2203 1
 
2.0%
4804 1
 
2.0%
3237 1
 
2.0%
996 1
 
2.0%
1551 1
 
2.0%
11050 1
 
2.0%
1120 1
 
2.0%
2305 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
996 1
2.0%
1120 1
2.0%
1446 1
2.0%
1551 1
2.0%
2156 1
2.0%
2203 1
2.0%
2305 1
2.0%
2348 1
2.0%
2853 1
2.0%
2874 1
2.0%
ValueCountFrequency (%)
11050 1
2.0%
8925 1
2.0%
8558 1
2.0%
7966 1
2.0%
7581 1
2.0%
7536 1
2.0%
7074 1
2.0%
6913 1
2.0%
6829 1
2.0%
6430 1
2.0%

70대 이상 방문수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1550.02
Minimum310
Maximum3640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T14:35:44.814541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum310
5-th percentile563.35
Q1927.25
median1418
Q32143.75
95-th percentile2689.85
Maximum3640
Range3330
Interquartile range (IQR)1216.5

Descriptive statistics

Standard deviation765.67555
Coefficient of variation (CV)0.49397785
Kurtosis-0.26846316
Mean1550.02
Median Absolute Deviation (MAD)604
Skewness0.56399923
Sum77501
Variance586259.04
MonotonicityNot monotonic
2023-12-12T14:35:44.993671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
726 1
 
2.0%
2527 1
 
2.0%
692 1
 
2.0%
1341 1
 
2.0%
1017 1
 
2.0%
1000 1
 
2.0%
310 1
 
2.0%
544 1
 
2.0%
768 1
 
2.0%
911 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
310 1
2.0%
438 1
2.0%
544 1
2.0%
587 1
2.0%
644 1
2.0%
675 1
2.0%
692 1
2.0%
726 1
2.0%
768 1
2.0%
826 1
2.0%
ValueCountFrequency (%)
3640 1
2.0%
3126 1
2.0%
2720 1
2.0%
2653 1
2.0%
2577 1
2.0%
2566 1
2.0%
2527 1
2.0%
2405 1
2.0%
2373 1
2.0%
2342 1
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-08-14
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-14
2nd row2023-08-14
3rd row2023-08-14
4th row2023-08-14
5th row2023-08-14

Common Values

ValueCountFrequency (%)
2023-08-14 50
100.0%

Length

2023-12-12T14:35:45.149570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:45.239408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-14 50
100.0%

Interactions

2023-12-12T14:35:39.854481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:31.783537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.940431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.964493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.988317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.907271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.943727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.921904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.767768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.965952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:31.871798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.051034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.084690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.087499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.003653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.063213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.018358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.855322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.064762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:31.983015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.156322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.200551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.213783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.158360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.168161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.121915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.936918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.193016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.106463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.256762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.326743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.343182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.289328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.281008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.206754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.306889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.303675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.445584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.361251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.451466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.441596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.386137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.402824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.283682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.392626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.397249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.540940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.492758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.568263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.519706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.497158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.523520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.404987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.469396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.497903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.649975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.618664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.688788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.624657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.604523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.642771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.514478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.550323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.606520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.722970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.742082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.790171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.722230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.699348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.738795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.598473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.644902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:40.710844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:32.820906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:33.844527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:34.894674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:35.810032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:36.802088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:37.827754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:38.680261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:39.746218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:35:45.305090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월관광지명총 방문수10대 이하 방문수20대 방문수30대 방문수40대 방문수50대 방문수60대 방문수70대 이상 방문수
년1.0000.3350.0000.4250.0000.3200.4750.0000.2660.7930.371
월0.3351.0000.0000.2640.3590.5470.3800.0000.0000.0000.427
관광지명0.0000.0001.0000.0000.6790.0000.5580.3800.4470.4620.290
총 방문수0.4250.2640.0001.0000.6590.6980.8280.8520.8540.9150.603
10대 이하 방문수0.0000.3590.6790.6591.0000.9250.8240.8880.6010.3910.000
20대 방문수0.3200.5470.0000.6980.9251.0000.7320.8540.6340.2130.093
30대 방문수0.4750.3800.5580.8280.8240.7321.0000.9200.7170.6440.000
40대 방문수0.0000.0000.3800.8520.8880.8540.9201.0000.8860.5850.000
50대 방문수0.2660.0000.4470.8540.6010.6340.7170.8861.0000.7750.778
60대 방문수0.7930.0000.4620.9150.3910.2130.6440.5850.7751.0000.802
70대 이상 방문수0.3710.4270.2900.6030.0000.0930.0000.0000.7780.8021.000
2023-12-12T14:35:45.492027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년관광지명
년1.0000.000
관광지명0.0001.000
2023-12-12T14:35:45.605819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월총 방문수10대 이하 방문수20대 방문수30대 방문수40대 방문수50대 방문수60대 방문수70대 이상 방문수년관광지명
월1.000-0.213-0.330-0.053-0.053-0.157-0.002-0.161-0.0180.1870.000
총 방문수-0.2131.0000.5210.5180.4430.8390.7520.7470.6420.1920.062
10대 이하 방문수-0.3300.5211.0000.5460.7620.7230.0520.1780.0220.0000.439
20대 방문수-0.0530.5180.5461.0000.7330.6350.2870.1280.1400.1980.000
30대 방문수-0.0530.4430.7620.7331.0000.6200.0260.020-0.0680.2410.524
40대 방문수-0.1570.8390.7230.6350.6201.0000.5250.4250.3930.0000.244
50대 방문수-0.0020.7520.0520.2870.0260.5251.0000.8190.8470.1740.331
60대 방문수-0.1610.7470.1780.1280.0200.4250.8191.0000.7540.4380.435
70대 이상 방문수-0.0180.6420.0220.140-0.0680.3930.8470.7541.0000.2330.225
년0.1870.1920.0000.1980.2410.0000.1740.4380.2331.0000.000
관광지명0.0000.0620.4390.0000.5240.2440.3310.4350.2250.0001.000

Missing values

2023-12-12T14:35:40.867014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:35:41.025114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

년월관광지명총 방문수10대 이하 방문수20대 방문수30대 방문수40대 방문수50대 방문수60대 방문수70대 이상 방문수데이터기준일자
020216가조온천14228381138630872247405323487262023-08-14
120217가조온천1449370482114312669458536396442023-08-14
220218가조온천14758721107115572774426834489192023-08-14
320219가조온천153785271405194223784334328415082023-08-14
4202110가조온천203833221072158029616731514025772023-08-14
5202111가조온천194682941222153728117052533912132023-08-14
6202112가조온천156772461213130026015343368912852023-08-14
720221가조온천215701304183422163607606455939522023-08-14
820222가조온천165727031117158425135468376214252023-08-14
920223가조온천15576276102598922805103419817052023-08-14
년월관광지명총 방문수10대 이하 방문수20대 방문수30대 방문수40대 방문수50대 방문수60대 방문수70대 이상 방문수데이터기준일자
4020229수승대152487771390171224504330346211272023-08-14
41202210수승대236716761386228934657511612522192023-08-14
42202211수승대244636761036179630707266796626532023-08-14
43202212수승대1854514141250240132944379455412532023-08-14
4420231수승대240092983240140995548436537878262023-08-14
4520232수승대164771401917206532034127360511592023-08-14
4620233수승대16423725742121123874645504016732023-08-14
4720234수승대273909421047204134027760855836402023-08-14
4820235수승대226927561267185529866188707425662023-08-14
4920236수승대2909011761572300040677630892527202023-08-14