Overview

Dataset statistics

Number of variables8
Number of observations259
Missing cells75
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory67.5 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description경상남도 의령군 13개 읍면에 소재하고 있는 마을회관명, 소재지의 주소, 건축연도, 규모, 전화번호 정보를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15032056

Alerts

데이터기준일 has constant value ""Constant
순번 is highly overall correlated with 마을명High correlation
마을명 is highly overall correlated with 순번High correlation
전화번호 has 75 (29.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:53:46.713279
Analysis finished2023-12-11 00:53:47.970050
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct259
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130
Minimum1
Maximum259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T09:53:48.066311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.9
Q165.5
median130
Q3194.5
95-th percentile246.1
Maximum259
Range258
Interquartile range (IQR)129

Descriptive statistics

Standard deviation74.911058
Coefficient of variation (CV)0.57623891
Kurtosis-1.2
Mean130
Median Absolute Deviation (MAD)65
Skewness0
Sum33670
Variance5611.6667
MonotonicityStrictly increasing
2023-12-11T09:53:48.226346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
164 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
Other values (249) 249
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%

마을명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
부림면
30 
의령읍
29 
용덕면
26 
유곡면
24 
지정면
21 
Other values (8)
129 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부림면 30
11.6%
의령읍 29
11.2%
용덕면 26
10.0%
유곡면 24
9.3%
지정면 21
8.1%
화정면 20
7.7%
대의면 17
6.6%
봉수면 17
6.6%
궁류면 17
6.6%
정곡면 16
 
6.2%
Other values (3) 42
16.2%

Length

2023-12-11T09:53:48.340342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부림면 30
11.6%
의령읍 29
11.2%
용덕면 26
10.0%
유곡면 24
9.3%
지정면 21
8.1%
화정면 20
7.7%
대의면 17
6.6%
봉수면 17
6.6%
궁류면 17
6.6%
정곡면 16
 
6.2%
Other values (3) 42
16.2%

마을회관명
Text

Distinct236
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:53:48.576464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.2316602
Min length6

Characters and Unicode

Total characters1614
Distinct characters148
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)86.1%

Sample

1st row서신마을회관
2nd row서본마을회관
3rd row서부마을회관
4th row중본마을회관
5th row상동마을회관
ValueCountFrequency (%)
신기마을회관 6
 
2.3%
상촌마을회관 4
 
1.5%
두곡마을회관 3
 
1.2%
평촌마을회관 3
 
1.2%
중촌마을회관 3
 
1.2%
신촌마을회관 3
 
1.2%
예동마을회관 2
 
0.8%
당동마을회관 2
 
0.8%
방계마을회관 2
 
0.8%
백야마을회관 2
 
0.8%
Other values (226) 229
88.4%
2023-12-11T09:53:48.991772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 262
16.2%
을 258
16.0%
관 258
16.0%
회 257
15.9%
곡 38
 
2.4%
구 27
 
1.7%
신 24
 
1.5%
상 24
 
1.5%
동 24
 
1.5%
산 20
 
1.2%
Other values (138) 422
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1596
98.9%
Decimal Number 16
 
1.0%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 262
16.4%
을 258
16.2%
관 258
16.2%
회 257
16.1%
곡 38
 
2.4%
구 27
 
1.7%
신 24
 
1.5%
상 24
 
1.5%
동 24
 
1.5%
산 20
 
1.3%
Other values (134) 404
25.3%
Decimal Number
ValueCountFrequency (%)
1 8
50.0%
2 7
43.8%
3 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1596
98.9%
Common 18
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 262
16.4%
을 258
16.2%
관 258
16.2%
회 257
16.1%
곡 38
 
2.4%
구 27
 
1.7%
신 24
 
1.5%
상 24
 
1.5%
동 24
 
1.5%
산 20
 
1.3%
Other values (134) 404
25.3%
Common
ValueCountFrequency (%)
1 8
44.4%
2 7
38.9%
2
 
11.1%
3 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1596
98.9%
ASCII 18
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 262
16.4%
을 258
16.2%
관 258
16.2%
회 257
16.1%
곡 38
 
2.4%
구 27
 
1.7%
신 24
 
1.5%
상 24
 
1.5%
동 24
 
1.5%
산 20
 
1.3%
Other values (134) 404
25.3%
ASCII
ValueCountFrequency (%)
1 8
44.4%
2 7
38.9%
2
 
11.1%
3 1
 
5.6%

소재지
Text

Distinct257
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:53:49.329132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.474903
Min length18

Characters and Unicode

Total characters5562
Distinct characters112
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)98.5%

Sample

1st row경상남도 의령군 의령읍 의병로9길 18
2nd row경상남도 의령군 의령읍 의병로15길 19
3rd row경상남도 의령군 의령읍 의병로17길 5
4th row경상남도 의령군 의령읍 충익로 38-8
5th row경상남도 의령군 의령읍 의병로19길 38-1
ValueCountFrequency (%)
경상남도 259
20.0%
의령군 258
20.0%
부림면 30
 
2.3%
의령읍 29
 
2.2%
용덕면 26
 
2.0%
유곡면 24
 
1.9%
지정면 21
 
1.6%
화정면 20
 
1.5%
봉수면 17
 
1.3%
궁류면 17
 
1.3%
Other values (406) 591
45.7%
2023-12-11T09:53:49.785663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1037
18.6%
의 335
 
6.0%
령 287
 
5.2%
남 272
 
4.9%
상 263
 
4.7%
경 260
 
4.7%
도 259
 
4.7%
군 258
 
4.6%
면 230
 
4.1%
로 229
 
4.1%
Other values (102) 2132
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3564
64.1%
Space Separator 1037
 
18.6%
Decimal Number 871
 
15.7%
Dash Punctuation 90
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 335
 
9.4%
령 287
 
8.1%
남 272
 
7.6%
상 263
 
7.4%
경 260
 
7.3%
도 259
 
7.3%
군 258
 
7.2%
면 230
 
6.5%
로 229
 
6.4%
길 200
 
5.6%
Other values (90) 971
27.2%
Decimal Number
ValueCountFrequency (%)
1 207
23.8%
2 136
15.6%
4 96
11.0%
3 85
9.8%
5 71
 
8.2%
6 69
 
7.9%
9 60
 
6.9%
7 55
 
6.3%
8 46
 
5.3%
0 46
 
5.3%
Space Separator
ValueCountFrequency (%)
1037
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3564
64.1%
Common 1998
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 335
 
9.4%
령 287
 
8.1%
남 272
 
7.6%
상 263
 
7.4%
경 260
 
7.3%
도 259
 
7.3%
군 258
 
7.2%
면 230
 
6.5%
로 229
 
6.4%
길 200
 
5.6%
Other values (90) 971
27.2%
Common
ValueCountFrequency (%)
1037
51.9%
1 207
 
10.4%
2 136
 
6.8%
4 96
 
4.8%
- 90
 
4.5%
3 85
 
4.3%
5 71
 
3.6%
6 69
 
3.5%
9 60
 
3.0%
7 55
 
2.8%
Other values (2) 92
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3564
64.1%
ASCII 1998
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1037
51.9%
1 207
 
10.4%
2 136
 
6.8%
4 96
 
4.8%
- 90
 
4.5%
3 85
 
4.3%
5 71
 
3.6%
6 69
 
3.5%
9 60
 
3.0%
7 55
 
2.8%
Other values (2) 92
 
4.6%
Hangul
ValueCountFrequency (%)
의 335
 
9.4%
령 287
 
8.1%
남 272
 
7.6%
상 263
 
7.4%
경 260
 
7.3%
도 259
 
7.3%
군 258
 
7.2%
면 230
 
6.5%
로 229
 
6.4%
길 200
 
5.6%
Other values (90) 971
27.2%

건축연도
Real number (ℝ)

Distinct34
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.8108
Minimum1975
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T09:53:49.906195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1975
5-th percentile1991.5
Q11999
median2002
Q32005
95-th percentile2011
Maximum2020
Range45
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.6284943
Coefficient of variation (CV)0.0033112491
Kurtosis4.1069605
Mean2001.8108
Median Absolute Deviation (MAD)3
Skewness-1.262275
Sum518469
Variance43.936937
MonotonicityNot monotonic
2023-12-11T09:53:50.021461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2002 43
16.6%
2001 30
11.6%
2003 21
 
8.1%
1999 18
 
6.9%
2008 17
 
6.6%
2005 16
 
6.2%
1998 14
 
5.4%
2000 13
 
5.0%
2007 10
 
3.9%
1997 10
 
3.9%
Other values (24) 67
25.9%
ValueCountFrequency (%)
1975 1
 
0.4%
1977 1
 
0.4%
1978 1
 
0.4%
1979 2
0.8%
1980 2
0.8%
1981 1
 
0.4%
1982 1
 
0.4%
1984 3
1.2%
1987 1
 
0.4%
1992 1
 
0.4%
ValueCountFrequency (%)
2020 2
 
0.8%
2017 1
 
0.4%
2015 2
 
0.8%
2014 3
 
1.2%
2012 2
 
0.8%
2011 5
 
1.9%
2010 3
 
1.2%
2009 7
2.7%
2008 17
6.6%
2007 10
3.9%

규모(제곱미터)
Real number (ℝ)

Distinct224
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.498456
Minimum29.82
Maximum299.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T09:53:50.148711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.82
5-th percentile62.504
Q176.4
median88.52
Q3104.29
95-th percentile172.778
Maximum299.78
Range269.96
Interquartile range (IQR)27.89

Descriptive statistics

Standard deviation38.712897
Coefficient of variation (CV)0.3930305
Kurtosis6.5534198
Mean98.498456
Median Absolute Deviation (MAD)14.18
Skewness2.1959991
Sum25511.1
Variance1498.6884
MonotonicityNot monotonic
2023-12-11T09:53:50.270917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.8 4
 
1.5%
66.0 4
 
1.5%
100.0 4
 
1.5%
99.0 3
 
1.2%
69.0 3
 
1.2%
88.58 3
 
1.2%
83.0 2
 
0.8%
82.05 2
 
0.8%
78.0 2
 
0.8%
177.5 2
 
0.8%
Other values (214) 230
88.8%
ValueCountFrequency (%)
29.82 1
0.4%
36.55 1
0.4%
40.5 1
0.4%
44.1 1
0.4%
45.36 1
0.4%
47.42 1
0.4%
50.4 1
0.4%
54.58 1
0.4%
56.43 1
0.4%
59.36 1
0.4%
ValueCountFrequency (%)
299.78 1
0.4%
276.28 1
0.4%
256.2 1
0.4%
251.2 1
0.4%
250.8 1
0.4%
230.73 1
0.4%
197.0 1
0.4%
194.29 1
0.4%
189.54 1
0.4%
179.55 1
0.4%

전화번호
Text

MISSING 

Distinct180
Distinct (%)97.8%
Missing75
Missing (%)29.0%
Memory size2.2 KiB
2023-12-11T09:53:50.505236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2208
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)95.7%

Sample

1st row055-572-3351
2nd row055-573-2595
3rd row055-573-4747
4th row055-572-0388
5th row055-573-6881
ValueCountFrequency (%)
055-572-0306 2
 
1.1%
055-573-0212 2
 
1.1%
055-573-5622 2
 
1.1%
055-572-6006 2
 
1.1%
055-573-4671 1
 
0.5%
055-574-0133 1
 
0.5%
055-574-7855 1
 
0.5%
055-572-3351 1
 
0.5%
055-574-7866 1
 
0.5%
055-574-0332 1
 
0.5%
Other values (170) 170
92.4%
2023-12-11T09:53:50.847813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 639
28.9%
- 368
16.7%
0 283
12.8%
7 251
 
11.4%
2 139
 
6.3%
3 125
 
5.7%
4 114
 
5.2%
6 90
 
4.1%
1 81
 
3.7%
9 63
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1840
83.3%
Dash Punctuation 368
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 639
34.7%
0 283
15.4%
7 251
 
13.6%
2 139
 
7.6%
3 125
 
6.8%
4 114
 
6.2%
6 90
 
4.9%
1 81
 
4.4%
9 63
 
3.4%
8 55
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 639
28.9%
- 368
16.7%
0 283
12.8%
7 251
 
11.4%
2 139
 
6.3%
3 125
 
5.7%
4 114
 
5.2%
6 90
 
4.1%
1 81
 
3.7%
9 63
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 639
28.9%
- 368
16.7%
0 283
12.8%
7 251
 
11.4%
2 139
 
6.3%
3 125
 
5.7%
4 114
 
5.2%
6 90
 
4.1%
1 81
 
3.7%
9 63
 
2.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2022-10-06
259 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-06
2nd row2022-10-06
3rd row2022-10-06
4th row2022-10-06
5th row2022-10-06

Common Values

ValueCountFrequency (%)
2022-10-06 259
100.0%

Length

2023-12-11T09:53:50.956563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:53:51.026009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-06 259
100.0%

Interactions

2023-12-11T09:53:47.461763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.004877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.225778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.551590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.078073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.298136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.659385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.150250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:53:47.370556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:53:51.070310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번마을명건축연도규모(제곱미터)
순번1.0000.9580.4960.429
마을명0.9581.0000.3870.353
건축연도0.4960.3871.0000.452
규모(제곱미터)0.4290.3530.4521.000
2023-12-11T09:53:51.143326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번건축연도규모(제곱미터)마을명
순번1.0000.136-0.2410.832
건축연도0.1361.000-0.0900.174
규모(제곱미터)-0.241-0.0901.0000.153
마을명0.8320.1740.1531.000

Missing values

2023-12-11T09:53:47.787255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:53:47.918841image/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

순번마을명마을회관명소재지건축연도규모(제곱미터)전화번호데이터기준일
01의령읍서신마을회관경상남도 의령군 의령읍 의병로9길 182005194.29055-572-33512022-10-06
12의령읍서본마을회관경상남도 의령군 의령읍 의병로15길 192011115.7055-573-25952022-10-06
23의령읍서부마을회관경상남도 의령군 의령읍 의병로17길 52009117.36055-573-47472022-10-06
34의령읍중본마을회관경상남도 의령군 의령읍 충익로 38-81984197.0055-572-03882022-10-06
45의령읍상동마을회관경상남도 의령군 의령읍 의병로19길 38-11982131.57055-573-68812022-10-06
56의령읍동본마을회관경상남도 의령군 의령읍 의병로23길 6-201984105.28055-572-22422022-10-06
67의령읍가야마을회관경상남도 의령군 의령읍 충익로 77-5197999.18055-572-35912022-10-06
78의령읍소입마을회관경상남도 의령군 의령읍 충익로 1131984132.0055-572-85792022-10-06
89의령읍남산마을회관경상남도 의령군 의령읍 의병로24동길 12-251994133.64055-572-44032022-10-06
910의령읍구룡마을회관경상남도 의령군 의령읍 구룡로2길 161980116.2055-572-14682022-10-06
순번마을명마을회관명소재지건축연도규모(제곱미터)전화번호데이터기준일
249250유곡면엄현마을회관경상남도 의령군 유곡면 청정로15길 49200169.0055-573-03052022-10-06
250251유곡면옥동마을회관경상남도 의령군 유곡면 청정로14길 1-4200169.0055-573-88182022-10-06
251252유곡면유곡학구마을회관경상남도 의령군 유곡면 청정로 22412017113.42<NA>2022-10-06
252253유곡면등대마을회관경상남도 의령군 유곡면 청정로 2241199768.4055-573-59422022-10-06
253254유곡면마장마을회관경상남도 의령군 유곡면 마장로5길 2-1200536.55055-573-69142022-10-06
254255유곡면양지마을회관경상남도 의령군 유곡면 마장로 2282001103.0<NA>2022-10-06
255256유곡면당동마을회관경상남도 의령군 유곡면 마장로3길 14199984.24055-573-46712022-10-06
256257유곡면덕천마을회관경상남도 의령군 유곡면 청정로17길 47-4200059.36055-573-58052022-10-06
257258유곡면세간1구마을회관경상남도 의령군 유곡면 세간2길 262002162.71055-574-01172022-10-06
258259유곡면세간마을회관경상남도 의령군 유곡면 세간2길 23-82007115.76055-574-00752022-10-06