Overview

Dataset statistics

Number of variables10
Number of observations338
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.5 KiB
Average record size in memory83.4 B

Variable types

Numeric3
Categorical4
Text1
DateTime2

Dataset

Description제주특별자치도에서 지정 및 관리하는 대부 종료 공유 재산과 관련한 데이터로 재산종류, 재산관리부서, 소재지, 지목, 면적 등 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15012552/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
재산관리부서전화번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
재산관리부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 재산관리부서 and 1 other fieldsHigh correlation
총면적(제곱미터) is highly overall correlated with 대부면적(제곱미터)High correlation
대부면적(제곱미터) is highly overall correlated with 총면적(제곱미터)High correlation
재산종류 is highly overall correlated with 지목High correlation
지목 is highly overall correlated with 재산종류High correlation
재산종류 is highly imbalanced (90.7%)Imbalance
지목 is highly imbalanced (54.2%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:31:40.492296
Analysis finished2023-12-12 00:31:42.260674
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct338
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.5
Minimum1
Maximum338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T09:31:42.344592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.85
Q185.25
median169.5
Q3253.75
95-th percentile321.15
Maximum338
Range337
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation97.716426
Coefficient of variation (CV)0.57649809
Kurtosis-1.2
Mean169.5
Median Absolute Deviation (MAD)84.5
Skewness0
Sum57291
Variance9548.5
MonotonicityStrictly increasing
2023-12-12T09:31:42.515927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
224 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
Other values (328) 328
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%

재산종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
토지
334 
건물
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토지
2nd row건물
3rd row토지
4th row건물
5th row토지

Common Values

ValueCountFrequency (%)
토지 334
98.8%
건물 4
 
1.2%

Length

2023-12-12T09:31:42.660391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:43.078368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 334
98.8%
건물 4
 
1.2%
Distinct321
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T09:31:43.247032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.322485
Min length19

Characters and Unicode

Total characters8221
Distinct characters99
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)91.1%

Sample

1st row제주특별자치도 제주시 아라일동 368-23
2nd row제주특별자치도 제주시 아라일동 368-23
3rd row제주특별자치도 제주시 아라일동 368-23
4th row제주특별자치도 제주시 아라일동 368-23
5th row제주특별자치도 제주시 연동 296-3
ValueCountFrequency (%)
제주특별자치도 338
19.9%
제주시 260
15.3%
한경면 127
 
7.5%
조천읍 108
 
6.4%
서귀포시 78
 
4.6%
성산읍 67
 
4.0%
교래리 62
 
3.7%
두모리 31
 
1.8%
저지리 24
 
1.4%
신천리 18
 
1.1%
Other values (369) 582
34.3%
2023-12-12T09:31:43.581468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1357
16.5%
598
 
7.3%
598
 
7.3%
342
 
4.2%
341
 
4.1%
338
 
4.1%
338
 
4.1%
338
 
4.1%
338
 
4.1%
325
 
4.0%
Other values (89) 3308
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5477
66.6%
Space Separator 1357
 
16.5%
Decimal Number 1256
 
15.3%
Dash Punctuation 129
 
1.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
598
 
10.9%
598
 
10.9%
342
 
6.2%
341
 
6.2%
338
 
6.2%
338
 
6.2%
338
 
6.2%
338
 
6.2%
325
 
5.9%
192
 
3.5%
Other values (75) 1729
31.6%
Decimal Number
ValueCountFrequency (%)
1 259
20.6%
2 191
15.2%
3 144
11.5%
6 124
9.9%
4 113
9.0%
0 95
 
7.6%
5 89
 
7.1%
7 88
 
7.0%
8 79
 
6.3%
9 74
 
5.9%
Space Separator
ValueCountFrequency (%)
1357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5477
66.6%
Common 2744
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
598
 
10.9%
598
 
10.9%
342
 
6.2%
341
 
6.2%
338
 
6.2%
338
 
6.2%
338
 
6.2%
338
 
6.2%
325
 
5.9%
192
 
3.5%
Other values (75) 1729
31.6%
Common
ValueCountFrequency (%)
1357
49.5%
1 259
 
9.4%
2 191
 
7.0%
3 144
 
5.2%
- 129
 
4.7%
6 124
 
4.5%
4 113
 
4.1%
0 95
 
3.5%
5 89
 
3.2%
7 88
 
3.2%
Other values (4) 155
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5477
66.6%
ASCII 2744
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1357
49.5%
1 259
 
9.4%
2 191
 
7.0%
3 144
 
5.2%
- 129
 
4.7%
6 124
 
4.5%
4 113
 
4.1%
0 95
 
3.5%
5 89
 
3.2%
7 88
 
3.2%
Other values (4) 155
 
5.6%
Hangul
ValueCountFrequency (%)
598
 
10.9%
598
 
10.9%
342
 
6.2%
341
 
6.2%
338
 
6.2%
338
 
6.2%
338
 
6.2%
338
 
6.2%
325
 
5.9%
192
 
3.5%
Other values (75) 1729
31.6%

지목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
임야
223 
목장용지
52 
 
18
 
15
주차장
 
6
Other values (11)
24 

Length

Max length4
Median length2
Mean length2.2544379
Min length1

Unique

Unique6 ?
Unique (%)1.8%

Sample

1st row
2nd row건물
3rd row
4th row건물
5th row

Common Values

ValueCountFrequency (%)
임야 223
66.0%
목장용지 52
 
15.4%
18
 
5.3%
15
 
4.4%
주차장 6
 
1.8%
잡종지 6
 
1.8%
대지 4
 
1.2%
건물 3
 
0.9%
묘지 3
 
0.9%
공장용지 2
 
0.6%
Other values (6) 6
 
1.8%

Length

2023-12-12T09:31:43.708453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
임야 223
66.0%
목장용지 52
 
15.4%
18
 
5.3%
15
 
4.4%
주차장 6
 
1.8%
잡종지 6
 
1.8%
대지 4
 
1.2%
건물 3
 
0.9%
묘지 3
 
0.9%
공장용지 2
 
0.6%
Other values (6) 6
 
1.8%

총면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct313
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11419.34
Minimum10
Maximum1169901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T09:31:43.833921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile164.6
Q1674.25
median1544
Q34315.25
95-th percentile42292.2
Maximum1169901
Range1169891
Interquartile range (IQR)3641

Descriptive statistics

Standard deviation69074.036
Coefficient of variation (CV)6.048864
Kurtosis238.41942
Mean11419.34
Median Absolute Deviation (MAD)1090.5
Skewness14.631146
Sum3859737
Variance4.7712224 × 109
MonotonicityNot monotonic
2023-12-12T09:31:43.998787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80975 4
 
1.2%
1292 3
 
0.9%
1504 3
 
0.9%
1917 3
 
0.9%
2336 2
 
0.6%
912 2
 
0.6%
1795 2
 
0.6%
3147 2
 
0.6%
542 2
 
0.6%
998 2
 
0.6%
Other values (303) 313
92.6%
ValueCountFrequency (%)
10 1
0.3%
32 1
0.3%
40 1
0.3%
44 1
0.3%
49 1
0.3%
53 1
0.3%
55 1
0.3%
56 1
0.3%
66 1
0.3%
69 1
0.3%
ValueCountFrequency (%)
1169901 1
 
0.3%
353630 1
 
0.3%
269996 1
 
0.3%
97126 1
 
0.3%
83076 1
 
0.3%
80975 4
1.2%
78100 1
 
0.3%
77184 1
 
0.3%
73240 1
 
0.3%
61760 1
 
0.3%

대부면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct286
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3474.4852
Minimum2
Maximum150215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T09:31:44.140774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile43.85
Q1161.75
median427.5
Q31745.5
95-th percentile14245.4
Maximum150215
Range150213
Interquartile range (IQR)1583.75

Descriptive statistics

Standard deviation12443.194
Coefficient of variation (CV)3.5813058
Kurtosis86.336327
Mean3474.4852
Median Absolute Deviation (MAD)358
Skewness8.4520068
Sum1174376
Variance1.5483308 × 108
MonotonicityNot monotonic
2023-12-12T09:31:44.312713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 5
 
1.5%
330 4
 
1.2%
119 4
 
1.2%
100 4
 
1.2%
160 3
 
0.9%
62 3
 
0.9%
300 3
 
0.9%
45 3
 
0.9%
260 3
 
0.9%
400 3
 
0.9%
Other values (276) 303
89.6%
ValueCountFrequency (%)
2 2
0.6%
5 2
0.6%
7 2
0.6%
10 1
0.3%
15 1
0.3%
20 1
0.3%
24 1
0.3%
25 1
0.3%
30 1
0.3%
32 1
0.3%
ValueCountFrequency (%)
150215 1
0.3%
126448 1
0.3%
50312 1
0.3%
46175 1
0.3%
40992 1
0.3%
40000 2
0.6%
38199 1
0.3%
37050 1
0.3%
20545 1
0.3%
20000 1
0.3%
Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2023-01-31 00:00:00
Maximum2023-12-31 00:00:00
2023-12-12T09:31:44.461045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:44.556667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재산관리부서
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
한경면
127 
조천읍
108 
성산읍
67 
제주특별자치도 제주시 재산세과
 
12
애월읍
 
10
Other values (7)
14 

Length

Max length18
Median length3
Mean length3.5059172
Min length3

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row제주특별자치도 제주시 재산세과
2nd row제주특별자치도 제주시 재산세과
3rd row제주특별자치도 제주시 재산세과
4th row제주특별자치도 제주시 재산세과
5th row제주특별자치도 제주시 재산세과

Common Values

ValueCountFrequency (%)
한경면 127
37.6%
조천읍 108
32.0%
성산읍 67
19.8%
제주특별자치도 제주시 재산세과 12
 
3.6%
애월읍 10
 
3.0%
남원읍 3
 
0.9%
안덕면 3
 
0.9%
표선면 3
 
0.9%
구좌읍 2
 
0.6%
우도면 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2023-12-12T09:31:44.700691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한경면 127
34.9%
조천읍 108
29.7%
성산읍 67
18.4%
제주특별자치도 13
 
3.6%
제주시 12
 
3.3%
재산세과 12
 
3.3%
애월읍 10
 
2.7%
남원읍 3
 
0.8%
안덕면 3
 
0.8%
표선면 3
 
0.8%
Other values (5) 6
 
1.6%

재산관리부서전화번호
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
064-728-7931
127 
064-782-7842
108 
064-760-4241
66 
064-728-2174
 
12
064-728-8842
 
10
Other values (7)
15 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row064-728-2174
2nd row064-728-2174
3rd row064-728-2174
4th row064-728-2174
5th row064-728-2174

Common Values

ValueCountFrequency (%)
064-728-7931 127
37.6%
064-782-7842 108
32.0%
064-760-4241 66
19.5%
064-728-2174 12
 
3.6%
064-728-8842 10
 
3.0%
064-760-4142 4
 
1.2%
064-760-4341 3
 
0.9%
064-760-4441 3
 
0.9%
064-728-7793 2
 
0.6%
064-728-4325 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2023-12-12T09:31:44.871664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
064-728-7931 127
37.6%
064-782-7842 108
32.0%
064-760-4241 66
19.5%
064-728-2174 12
 
3.6%
064-728-8842 10
 
3.0%
064-760-4142 4
 
1.2%
064-760-4341 3
 
0.9%
064-760-4441 3
 
0.9%
064-728-7793 2
 
0.6%
064-728-4325 1
 
0.3%
Other values (2) 2
 
0.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2023-09-19 00:00:00
Maximum2023-09-19 00:00:00
2023-12-12T09:31:44.989945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:45.094748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:31:41.596882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:40.973310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.281808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.753880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.080688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.378919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.865004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.173579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:41.470285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:31:45.183668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번재산종류지목총면적(제곱미터)대부면적(제곱미터)계약종료일재산관리부서재산관리부서전화번호
연번1.0000.2500.6200.0000.2750.1580.8220.825
재산종류0.2501.0000.9740.0000.0000.0000.6210.621
지목0.6200.9741.0000.0000.0000.9820.8470.846
총면적(제곱미터)0.0000.0000.0001.0000.9500.0000.5640.476
대부면적(제곱미터)0.2750.0000.0000.9501.0000.0000.6650.587
계약종료일0.1580.0000.9820.0000.0001.0000.9870.987
재산관리부서0.8220.6210.8470.5640.6650.9871.0001.000
재산관리부서전화번호0.8250.6210.8460.4760.5870.9871.0001.000
2023-12-12T09:31:45.306268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재산종류지목재산관리부서전화번호재산관리부서
재산종류1.0000.8490.4800.480
지목0.8491.0000.4980.500
재산관리부서전화번호0.4800.4981.0000.988
재산관리부서0.4800.5000.9881.000
2023-12-12T09:31:45.448579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번총면적(제곱미터)대부면적(제곱미터)재산종류지목재산관리부서재산관리부서전화번호
연번1.000-0.114-0.3320.1890.2960.5300.534
총면적(제곱미터)-0.1141.0000.6490.0000.0000.2880.234
대부면적(제곱미터)-0.3320.6491.0000.0000.0000.3200.267
재산종류0.1890.0000.0001.0000.8490.4800.480
지목0.2960.0000.0000.8491.0000.5000.498
재산관리부서0.5300.2880.3200.4800.5001.0000.988
재산관리부서전화번호0.5340.2340.2670.4800.4980.9881.000

Missing values

2023-12-12T09:31:42.023882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:31:42.186305image/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

연번재산종류소재지지목총면적(제곱미터)대부면적(제곱미터)계약종료일재산관리부서재산관리부서전화번호데이터기준일자
01토지제주특별자치도 제주시 아라일동 368-23233611682023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
12건물제주특별자치도 제주시 아라일동 368-23건물6613302023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
23토지제주특별자치도 제주시 아라일동 368-23233611682023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
34건물제주특별자치도 제주시 아라일동 368-23건물6613302023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
45토지제주특별자치도 제주시 연동 296-33403342023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
56토지제주특별자치도 제주시 용강동 117임야1674357112023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
67토지제주특별자치도 제주시 용담이동 945-134964762023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
78토지제주특별자치도 제주시 용담이동 945-91491492023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
89토지제주특별자치도 제주시 이도일동 1324-103841122023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
910건물제주특별자치도 제주시 이도일동 1324-10 (3층)건물480622023-12-31제주특별자치도 제주시 재산세과064-728-21742023-09-19
연번재산종류소재지지목총면적(제곱미터)대부면적(제곱미터)계약종료일재산관리부서재산관리부서전화번호데이터기준일자
328329토지제주특별자치도 서귀포시 성산읍 난산리 12임야201610422023-12-31성산읍064-760-42412023-09-19
329330토지제주특별자치도 서귀포시 성산읍 난산리 821-6구거3973972023-12-31성산읍064-760-42412023-09-19
330331토지제주특별자치도 서귀포시 성산읍 난산리 2171임야720333602023-12-31성산읍064-760-42412023-09-19
331332토지제주특별자치도 서귀포시 성산읍 난산리 2614임야284116002023-12-31성산읍064-760-42412023-09-19
332333토지제주특별자치도 서귀포시 안덕면 화순리 10662011032023-12-31안덕면064-760-43412023-09-19
333334건물제주특별자치도 서귀포시 안덕면 화순리 106669692023-12-31안덕면064-760-43412023-09-19
334335토지제주특별자치도 서귀포시 안덕면 동광리 14181861862023-12-31안덕면064-760-43412023-09-19
335336토지제주특별자치도 서귀포시 표선면 가시리 3598임야54481192023-12-31표선면064-760-44412023-09-19
336337토지제주특별자치도 서귀포시 표선면 가시리 3691-1임야441881192023-12-31표선면064-760-44412023-09-19
337338토지제주특별자치도 서귀포시 표선면 성읍리 2533임야93551192023-12-31표선면064-760-44412023-09-19