Overview

Dataset statistics

Number of variables30
Number of observations24
Missing cells219
Missing cells (%)30.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory262.5 B

Variable types

Categorical10
Numeric4
DateTime4
Unsupported8
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16542/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (52.7%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 15 (62.5%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 4 (16.7%) missing valuesMissing
소재지우편번호 has 24 (100.0%) missing valuesMissing
도로명주소 has 3 (12.5%) missing valuesMissing
도로명우편번호 has 3 (12.5%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.2%) missing valuesMissing
좌표정보(Y) has 1 (4.2%) missing valuesMissing
축산물가공업구분명 has 24 (100.0%) missing valuesMissing
축산일련번호 has 24 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 01:12:54.852438
Analysis finished2024-05-11 01:12:56.214760
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3010000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 24
100.0%

Length

2024-05-11T01:12:56.668823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:12:57.111742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 24
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.01 × 1017
Minimum3.01 × 1017
Maximum3.01 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T01:12:57.587547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.01 × 1017
5-th percentile3.01 × 1017
Q13.01 × 1017
median3.01 × 1017
Q33.01 × 1017
95-th percentile3.01 × 1017
Maximum3.01 × 1017
Range190001
Interquartile range (IQR)72512

Descriptive statistics

Standard deviation51740.115
Coefficient of variation (CV)1.7189407 × 10-13
Kurtosis0.1744212
Mean3.01 × 1017
Median Absolute Deviation (MAD)35008
Skewness-0.90179461
Sum7.224 × 1018
Variance2.6770395 × 109
MonotonicityStrictly increasing
2024-05-11T01:12:58.051813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
301000001320050001 1
 
4.2%
301000001320200001 1
 
4.2%
301000001320240002 1
 
4.2%
301000001320240001 1
 
4.2%
301000001320230002 1
 
4.2%
301000001320230001 1
 
4.2%
301000001320220003 1
 
4.2%
301000001320220002 1
 
4.2%
301000001320220001 1
 
4.2%
301000001320200004 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
301000001320050001 1
4.2%
301000001320080001 1
4.2%
301000001320100001 1
4.2%
301000001320120001 1
4.2%
301000001320120002 1
4.2%
301000001320140001 1
4.2%
301000001320150001 1
4.2%
301000001320170001 1
4.2%
301000001320170002 1
4.2%
301000001320180001 1
4.2%
ValueCountFrequency (%)
301000001320240002 1
4.2%
301000001320240001 1
4.2%
301000001320230002 1
4.2%
301000001320230001 1
4.2%
301000001320220003 1
4.2%
301000001320220002 1
4.2%
301000001320220001 1
4.2%
301000001320200004 1
4.2%
301000001320200003 1
4.2%
301000001320200002 1
4.2%

인허가일자
Date

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2005-03-17 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T01:12:58.428568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:12:58.795547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
15 
3
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
1 15
62.5%
3 8
33.3%
4 1
 
4.2%

Length

2024-05-11T01:12:59.241273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:12:59.656029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
62.5%
3 8
33.3%
4 1
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
15 
폐업
8 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.375
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 15
62.5%
폐업 8
33.3%
취소/말소/만료/정지/중지 1
 
4.2%

Length

2024-05-11T01:13:00.227180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:00.717546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
62.5%
폐업 8
33.3%
취소/말소/만료/정지/중지 1
 
4.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
15 
2
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row4

Common Values

ValueCountFrequency (%)
0 15
62.5%
2 8
33.3%
4 1
 
4.2%

Length

2024-05-11T01:13:01.394166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:01.920090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
62.5%
2 8
33.3%
4 1
 
4.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
정상
15 
폐업
8 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row말소

Common Values

ValueCountFrequency (%)
정상 15
62.5%
폐업 8
33.3%
말소 1
 
4.2%

Length

2024-05-11T01:13:02.408626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:02.851200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 15
62.5%
폐업 8
33.3%
말소 1
 
4.2%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing15
Missing (%)62.5%
Memory size324.0 B
Minimum2014-04-21 00:00:00
Maximum2023-12-07 00:00:00
2024-05-11T01:13:03.153995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:13:03.652564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing4
Missing (%)16.7%
Memory size324.0 B
2024-05-11T01:13:04.256632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.55
Min length9

Characters and Unicode

Total characters231
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)70.0%

Sample

1st row2236-5033
2nd row2236-5033
3rd row02-2275-2883
4th row02-2271-2526
5th row02-774-2875~6
ValueCountFrequency (%)
02-305-4206 2
 
10.0%
2236-5033 2
 
10.0%
080-130-1000 2
 
10.0%
02-23011603 1
 
5.0%
02-774-2875~6 1
 
5.0%
02-2271-2526 1
 
5.0%
02-2626-5782 1
 
5.0%
080-011-6000 1
 
5.0%
02-2231-8785 1
 
5.0%
02-709-0197 1
 
5.0%
Other values (7) 7
35.0%
2024-05-11T01:13:05.437263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56
24.2%
2 38
16.5%
- 37
16.0%
1 18
 
7.8%
3 14
 
6.1%
5 14
 
6.1%
7 14
 
6.1%
6 12
 
5.2%
8 11
 
4.8%
9 9
 
3.9%
Other values (2) 8
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
83.5%
Dash Punctuation 37
 
16.0%
Math Symbol 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
29.0%
2 38
19.7%
1 18
 
9.3%
3 14
 
7.3%
5 14
 
7.3%
7 14
 
7.3%
6 12
 
6.2%
8 11
 
5.7%
9 9
 
4.7%
4 7
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56
24.2%
2 38
16.5%
- 37
16.0%
1 18
 
7.8%
3 14
 
6.1%
5 14
 
6.1%
7 14
 
6.1%
6 12
 
5.2%
8 11
 
4.8%
9 9
 
3.9%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56
24.2%
2 38
16.5%
- 37
16.0%
1 18
 
7.8%
3 14
 
6.1%
5 14
 
6.1%
7 14
 
6.1%
6 12
 
5.2%
8 11
 
4.8%
9 9
 
3.9%
Other values (2) 8
 
3.5%

소재지면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
21.6
 
1
40.0
 
1
0.0
 
1
801.28
 
1

Length

Max length6
Median length4
Mean length4.125
Min length3

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row21.6
2nd row40.0
3rd row0.0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
21.6 1
 
4.2%
40.0 1
 
4.2%
0.0 1
 
4.2%
801.28 1
 
4.2%
5643.0 1
 
4.2%

Length

2024-05-11T01:13:06.022984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:06.367613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
21.6 1
 
4.2%
40.0 1
 
4.2%
0.0 1
 
4.2%
801.28 1
 
4.2%
5643.0 1
 
4.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지번주소
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T01:13:06.807543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length25.083333
Min length14

Characters and Unicode

Total characters602
Distinct characters77
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row서울특별시 중구 황학동 ***번지 ***호
2nd row서울특별시 중구 황학동 ***번지 ***호
3rd row서울특별시 중구 주교동 **-*번지 방산상가 A동 *층 **
4th row서울특별시 중구 주교동 ***-*번지 *층
5th row서울특별시 중구 을지로*가 ***-*번지
ValueCountFrequency (%)
서울특별시 24
20.2%
중구 24
20.2%
14
11.8%
번지 10
 
8.4%
남대문로*가 4
 
3.4%
황학동 3
 
2.5%
호 3
 
2.5%
주교동 3
 
2.5%
을지로*가 2
 
1.7%
순화동 2
 
1.7%
Other values (25) 30
25.2%
2024-05-11T01:13:07.870719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
17.9%
* 103
17.1%
서 28
 
4.7%
울 26
 
4.3%
중 25
 
4.2%
특 24
 
4.0%
별 24
 
4.0%
시 24
 
4.0%
구 24
 
4.0%
동 20
 
3.3%
Other values (67) 196
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
62.0%
Space Separator 108
 
17.9%
Other Punctuation 103
 
17.1%
Dash Punctuation 15
 
2.5%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
 
7.5%
울 26
 
7.0%
중 25
 
6.7%
특 24
 
6.4%
별 24
 
6.4%
시 24
 
6.4%
구 24
 
6.4%
동 20
 
5.4%
지 13
 
3.5%
가 12
 
3.2%
Other values (61) 153
41.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
K 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
108
100.0%
Other Punctuation
ValueCountFrequency (%)
* 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
62.0%
Common 226
37.5%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
 
7.5%
울 26
 
7.0%
중 25
 
6.7%
특 24
 
6.4%
별 24
 
6.4%
시 24
 
6.4%
구 24
 
6.4%
동 20
 
5.4%
지 13
 
3.5%
가 12
 
3.2%
Other values (61) 153
41.0%
Common
ValueCountFrequency (%)
108
47.8%
* 103
45.6%
- 15
 
6.6%
Latin
ValueCountFrequency (%)
A 1
33.3%
K 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
62.0%
ASCII 229
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
47.2%
* 103
45.0%
- 15
 
6.6%
A 1
 
0.4%
K 1
 
0.4%
S 1
 
0.4%
Hangul
ValueCountFrequency (%)
서 28
 
7.5%
울 26
 
7.0%
중 25
 
6.7%
특 24
 
6.4%
별 24
 
6.4%
시 24
 
6.4%
구 24
 
6.4%
동 20
 
5.4%
지 13
 
3.5%
가 12
 
3.2%
Other values (61) 153
41.0%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing3
Missing (%)12.5%
Memory size324.0 B
2024-05-11T01:13:08.344327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length34.619048
Min length24

Characters and Unicode

Total characters727
Distinct characters98
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row서울특별시 중구 을지로**길 **-*, *층 *호 (주교동)
2nd row서울특별시 중구 을지로 *** (을지로*가)
3rd row서울특별시 중구 통일로 **, ***호 (봉래동*가, 일신빌딩)
4th row서울특별시 중구 서소문로**길 **, ***호 (서소문동)
5th row서울특별시 중구 서소문로**길 **, ***호 (서소문동, 신아빌딩)
ValueCountFrequency (%)
서울특별시 21
14.4%
21
14.4%
중구 21
14.4%
층 11
 
7.5%
호 9
 
6.2%
남대문로*가 4
 
2.7%
통일로 3
 
2.1%
을지로 3
 
2.1%
별관 2
 
1.4%
을지로*가 2
 
1.4%
Other values (41) 49
33.6%
2024-05-11T01:13:09.248740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
17.3%
* 109
 
15.0%
서 28
 
3.9%
로 28
 
3.9%
, 24
 
3.3%
별 23
 
3.2%
울 23
 
3.2%
중 22
 
3.0%
) 21
 
2.9%
특 21
 
2.9%
Other values (88) 302
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
58.2%
Other Punctuation 133
 
18.3%
Space Separator 126
 
17.3%
Close Punctuation 21
 
2.9%
Open Punctuation 21
 
2.9%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
 
6.6%
로 28
 
6.6%
별 23
 
5.4%
울 23
 
5.4%
중 22
 
5.2%
특 21
 
5.0%
시 21
 
5.0%
구 21
 
5.0%
동 18
 
4.3%
대 12
 
2.8%
Other values (80) 206
48.7%
Other Punctuation
ValueCountFrequency (%)
* 109
82.0%
, 24
 
18.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
58.2%
Common 302
41.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
 
6.6%
로 28
 
6.6%
별 23
 
5.4%
울 23
 
5.4%
중 22
 
5.2%
특 21
 
5.0%
시 21
 
5.0%
구 21
 
5.0%
동 18
 
4.3%
대 12
 
2.8%
Other values (80) 206
48.7%
Common
ValueCountFrequency (%)
126
41.7%
* 109
36.1%
, 24
 
7.9%
) 21
 
7.0%
( 21
 
7.0%
- 1
 
0.3%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
58.2%
ASCII 304
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
41.4%
* 109
35.9%
, 24
 
7.9%
) 21
 
6.9%
( 21
 
6.9%
S 1
 
0.3%
K 1
 
0.3%
- 1
 
0.3%
Hangul
ValueCountFrequency (%)
서 28
 
6.6%
로 28
 
6.6%
별 23
 
5.4%
울 23
 
5.4%
중 22
 
5.2%
특 21
 
5.0%
시 21
 
5.0%
구 21
 
5.0%
동 18
 
4.3%
대 12
 
2.8%
Other values (80) 206
48.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)81.0%
Missing3
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean4546.7143
Minimum4510
Maximum4637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T01:13:09.622111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4510
5-th percentile4511
Q14515
median4539
Q34559
95-th percentile4616
Maximum4637
Range127
Interquartile range (IQR)44

Descriptive statistics

Standard deviation37.556814
Coefficient of variation (CV)0.0082602098
Kurtosis0.66216811
Mean4546.7143
Median Absolute Deviation (MAD)24
Skewness1.215405
Sum95481
Variance1410.5143
MonotonicityNot monotonic
2024-05-11T01:13:10.039462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4527 2
 
8.3%
4616 2
 
8.3%
4515 2
 
8.3%
4545 2
 
8.3%
4511 1
 
4.2%
4510 1
 
4.2%
4572 1
 
4.2%
4513 1
 
4.2%
4559 1
 
4.2%
4546 1
 
4.2%
Other values (7) 7
29.2%
(Missing) 3
12.5%
ValueCountFrequency (%)
4510 1
4.2%
4511 1
4.2%
4512 1
4.2%
4513 1
4.2%
4515 2
8.3%
4519 1
4.2%
4527 2
8.3%
4532 1
4.2%
4539 1
4.2%
4545 2
8.3%
ValueCountFrequency (%)
4637 1
4.2%
4616 2
8.3%
4576 1
4.2%
4572 1
4.2%
4559 1
4.2%
4549 1
4.2%
4546 1
4.2%
4545 2
8.3%
4539 1
4.2%
4532 1
4.2%

사업장명
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T01:13:10.484093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.2916667
Min length2

Characters and Unicode

Total characters199
Distinct characters97
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st row영신메디칼
2nd row조인스펫
3rd row진 메디컬
4th row하이플러스
5th row한국장애인문인복지후원회
ValueCountFrequency (%)
주식회사 3
 
10.3%
한국베링거인겔하임동물약품(주 2
 
6.9%
티알엔 2
 
6.9%
영신메디칼 1
 
3.4%
조인스펫 1
 
3.4%
주)디브이홀딩스 1
 
3.4%
주)디브이몰 1
 
3.4%
이마트청계천점(몰리스펫샵 1
 
3.4%
웰릭스렌탈(주 1
 
3.4%
나래월드 1
 
3.4%
Other values (15) 15
51.7%
2024-05-11T01:13:11.366592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
5.5%
( 10
 
5.0%
) 10
 
5.0%
스 8
 
4.0%
디 7
 
3.5%
이 7
 
3.5%
한 5
 
2.5%
회 5
 
2.5%
인 5
 
2.5%
5
 
2.5%
Other values (87) 126
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
86.4%
Open Punctuation 10
 
5.0%
Close Punctuation 10
 
5.0%
Space Separator 5
 
2.5%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
6.4%
스 8
 
4.7%
디 7
 
4.1%
이 7
 
4.1%
한 5
 
2.9%
회 5
 
2.9%
인 5
 
2.9%
국 4
 
2.3%
사 4
 
2.3%
알 3
 
1.7%
Other values (82) 113
65.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
U 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
86.4%
Common 25
 
12.6%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
6.4%
스 8
 
4.7%
디 7
 
4.1%
이 7
 
4.1%
한 5
 
2.9%
회 5
 
2.9%
인 5
 
2.9%
국 4
 
2.3%
사 4
 
2.3%
알 3
 
1.7%
Other values (82) 113
65.7%
Common
ValueCountFrequency (%)
( 10
40.0%
) 10
40.0%
5
20.0%
Latin
ValueCountFrequency (%)
G 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
86.4%
ASCII 27
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
6.4%
스 8
 
4.7%
디 7
 
4.1%
이 7
 
4.1%
한 5
 
2.9%
회 5
 
2.9%
인 5
 
2.9%
국 4
 
2.3%
사 4
 
2.3%
알 3
 
1.7%
Other values (82) 113
65.7%
ASCII
ValueCountFrequency (%)
( 10
37.0%
) 10
37.0%
5
18.5%
G 1
 
3.7%
U 1
 
3.7%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2014-04-22 16:31:54
Maximum2024-04-15 13:11:06
2024-05-11T01:13:11.815954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:13:12.231069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
13 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
54.2%
U 11
45.8%

Length

2024-05-11T01:13:12.604609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:12.915605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
54.2%
u 11
45.8%

데이터갱신일자
Date

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T01:13:13.234651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:13:13.604364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean199081.59
Minimum197175.2
Maximum201919.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T01:13:13.973404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197175.2
5-th percentile197463.65
Q1197613
median198614.98
Q3200138.25
95-th percentile201910.21
Maximum201919.79
Range4744.5944
Interquartile range (IQR)2525.2542

Descriptive statistics

Standard deviation1654.0344
Coefficient of variation (CV)0.0083083244
Kurtosis-1.0589504
Mean199081.59
Median Absolute Deviation (MAD)1109.7598
Skewness0.57617219
Sum4578876.5
Variance2735829.8
MonotonicityNot monotonic
2024-05-11T01:13:14.344412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
201919.794665322 2
 
8.3%
200229.445040175 2
 
8.3%
197556.202946679 2
 
8.3%
197612.995083649 2
 
8.3%
197814.337747467 1
 
4.2%
197462.198757043 1
 
4.2%
197175.200250032 1
 
4.2%
201823.908977364 1
 
4.2%
197620.648923884 1
 
4.2%
200047.053590441 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
197175.200250032 1
4.2%
197462.198757043 1
4.2%
197476.733641931 1
4.2%
197556.202946679 2
8.3%
197612.995083649 2
8.3%
197620.648923884 1
4.2%
197620.676444642 1
4.2%
197814.337747467 1
4.2%
198274.236324259 1
4.2%
198614.978577595 1
4.2%
ValueCountFrequency (%)
201919.794665322 2
8.3%
201823.908977364 1
4.2%
201742.972043744 1
4.2%
200229.445040175 2
8.3%
200047.053590441 1
4.2%
199867.410600358 1
4.2%
199724.738367917 1
4.2%
199526.416139264 1
4.2%
199448.102922035 1
4.2%
198614.978577595 1
4.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean451266.94
Minimum450361.51
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T01:13:14.650961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450361.51
5-th percentile450539.86
Q1450899.04
median451393.89
Q3451656.47
95-th percentile451782.99
Maximum452076.82
Range1715.3126
Interquartile range (IQR)757.4303

Descriptive statistics

Standard deviation475.07794
Coefficient of variation (CV)0.0010527648
Kurtosis-0.90527921
Mean451266.94
Median Absolute Deviation (MAD)326.33667
Skewness-0.38039907
Sum10379140
Variance225699.05
MonotonicityNot monotonic
2024-05-11T01:13:15.016994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
451656.473360378 2
 
8.3%
451067.548779357 2
 
8.3%
451393.885452503 2
 
8.3%
450539.857693464 2
 
8.3%
451705.306153084 1
 
4.2%
450878.211786274 1
 
4.2%
450823.319779918 1
 
4.2%
452076.818664092 1
 
4.2%
450919.874344114 1
 
4.2%
451332.199992458 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
450361.506112161 1
4.2%
450539.857693464 2
8.3%
450632.159070388 1
4.2%
450823.319779918 1
4.2%
450878.211786274 1
4.2%
450919.874344114 1
4.2%
451067.548779357 2
8.3%
451198.510083723 1
4.2%
451332.199992458 1
4.2%
451393.885452503 2
8.3%
ValueCountFrequency (%)
452076.818664092 1
4.2%
451784.175279872 1
4.2%
451772.327381582 1
4.2%
451705.306153084 1
4.2%
451693.211256949 1
4.2%
451656.473360378 2
8.3%
451577.838950867 1
4.2%
451548.668257947 1
4.2%
451520.021136319 1
4.2%
451393.885452503 2
8.3%

축산업무구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
동물용의료용구판매업
14 
<NA>
10 

Length

Max length10
Median length10
Mean length7.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 14
58.3%
<NA> 10
41.7%

Length

2024-05-11T01:13:15.417972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:15.704606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 14
58.3%
na 10
41.7%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
10 
000
8 
L00
6 

Length

Max length4
Median length3
Mean length3.4166667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd rowL00
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
<NA> 10
41.7%
000 8
33.3%
L00 6
25.0%

Length

2024-05-11T01:13:16.104399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:16.444513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
41.7%
000 8
33.3%
l00 6
25.0%

총인원
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
14 
<NA>
10 

Length

Max length4
Median length1
Mean length2.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 14
58.3%
<NA> 10
41.7%

Length

2024-05-11T01:13:16.840671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:13:17.160378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
58.3%
na 10
41.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0301000030100000132005000120050317<NA>3폐업2폐업20140526<NA><NA><NA>2236-503321.6<NA>서울특별시 중구 황학동 ***번지 ***호<NA><NA>영신메디칼2014-05-26 16:18:41I2018-08-31 23:59:59.0<NA>201919.794665451656.47336동물용의료용구판매업<NA><NA>0000
1301000030100000132008000120080717<NA>3폐업2폐업20141224<NA><NA><NA>2236-503340.0<NA>서울특별시 중구 황학동 ***번지 ***호<NA><NA>조인스펫2014-12-24 11:43:02I2018-08-31 23:59:59.0<NA>201919.794665451656.47336동물용의료용구판매업<NA><NA>L000
2301000030100000132010000120100928<NA>3폐업2폐업20141208<NA><NA><NA><NA>0.0<NA>서울특별시 중구 주교동 **-*번지 방산상가 A동 *층 **<NA><NA>진 메디컬2014-12-08 17:51:58I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>0000
3301000030100000132012000120120906<NA>3폐업2폐업20140421<NA><NA><NA>02-2275-2883<NA><NA>서울특별시 중구 주교동 ***-*번지 *층서울특별시 중구 을지로**길 **-*, *층 *호 (주교동)4546하이플러스2014-04-22 16:31:54I2018-08-31 23:59:59.0<NA>199867.4106451772.327382동물용의료용구판매업<NA><NA>0000
4301000030100000132012000220121029<NA>4취소/말소/만료/정지/중지4말소20160922<NA><NA><NA>02-2271-2526<NA><NA>서울특별시 중구 을지로*가 ***-*번지서울특별시 중구 을지로 *** (을지로*가)4549한국장애인문인복지후원회2016-09-22 13:26:35I2018-08-31 23:59:59.0<NA>199448.102922451548.668258동물용의료용구판매업<NA><NA>0000
5301000030100000132014000120140603<NA>3폐업2폐업20191115<NA><NA><NA>02-774-2875~6<NA><NA>서울특별시 중구 봉래동*가 ***-*번지 일신빌딩 ***호서울특별시 중구 통일로 **, ***호 (봉래동*가, 일신빌딩)4512고운덴탈2019-11-15 09:42:26U2019-11-17 02:40:00.0<NA>197476.733642450632.15907동물용의료용구판매업<NA><NA>0000
6301000030100000132015000120150403<NA>1영업/정상0정상<NA><NA><NA><NA>02-305-4206<NA><NA>서울특별시 중구 서소문동서울특별시 중구 서소문로**길 **, ***호 (서소문동)4515주식회사 제타이미징2015-04-03 09:53:05I2018-08-31 23:59:59.0<NA>197556.202947451393.885453동물용의료용구판매업<NA><NA>0000
7301000030100000132017000120170213<NA>1영업/정상0정상<NA><NA><NA><NA>02-305-4206801.28<NA>서울특별시 중구 서소문동 **-*번지서울특별시 중구 서소문로**길 **, ***호 (서소문동, 신아빌딩)4515루가노메디컬2017-02-13 17:49:48I2018-08-31 23:59:59.0<NA>197556.202947451393.885453동물용의료용구판매업<NA><NA>L000
8301000030100000132017000220170314<NA>1영업/정상0정상<NA><NA><NA><NA>02-2626-57825643.0<NA>서울특별시 중구 남대문로*가 ***번지서울특별시 중구 한강대로 ***, *층 (남대문로*가, 서울스퀘어)4637퀴아젠코리아 유한회사2017-06-15 15:43:45I2018-08-31 23:59:59.0<NA>197620.676445450361.506112동물용의료용구판매업<NA><NA>L000
930100003010000013201800012018-03-05<NA>3폐업2폐업2023-06-27<NA><NA><NA>080-011-6000<NA><NA>서울특별시 중구 을지로*가 ** SK텔레콤빌딩서울특별시 중구 을지로 **, SK텔레콤빌딩 (을지로*가)4539에스케이텔레콤(주)2023-06-27 10:18:18U2022-12-05 22:09:00.0<NA>198614.978578451577.838951<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
14301000030100000132020000220200604<NA>3폐업2폐업20210826<NA><NA><NA>02-724-6165<NA><NA>서울특별시 중구 태평로*가 **-** 태성빌딩서울특별시 중구 세종대로**길 **, 태성빌딩 층 ***호 (태평로*가)4519샤빗2021-08-26 11:35:02U2021-08-28 02:40:00.0<NA>197814.337747451705.306153동물용의료용구판매업<NA><NA>L000
1530100003010000013202000032020-07-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-709-0197<NA><NA>서울특별시 중구 남대문로*가 **-** 연세대학교 세브란스빌딩서울특별시 중구 통일로 **, 연세대학교 세브란스빌딩 **층 (남대문로*가)4527한국베링거인겔하임동물약품(주)2024-02-20 16:20:46U2023-12-01 22:02:00.0<NA>197612.995084450539.857693<NA><NA><NA><NA><NA>
1630100003010000013202000042020-09-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-709-0191<NA><NA>서울특별시 중구 남대문로*가 **-** 연세대학교 세브란스빌딩서울특별시 중구 통일로 **, 연세대학교 세브란스빌딩 **층 (남대문로*가)4527한국베링거인겔하임동물약품(주)2024-02-20 14:52:24U2023-12-01 22:02:00.0<NA>197612.995084450539.857693<NA><NA><NA><NA><NA>
1730100003010000013202200012022-08-08<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 오장동 ***-** 서울제일교회서울특별시 중구 마른내로 ***, 서제빌딩 ***호 (오장동)4559나래월드2023-06-15 15:54:35U2022-12-05 23:07:00.0<NA>200047.05359451332.199992<NA><NA><NA><NA><NA>
1830100003010000013202200022022-10-06<NA>3폐업2폐업2023-12-07<NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로*가 ** 대한서울상공회의소서울특별시 중구 세종대로 **, 대한서울상공회의소 *층 (남대문로*가)4513웰릭스렌탈(주)2023-12-07 13:46:25U2022-11-02 00:09:00.0<NA>197620.648924450919.874344<NA><NA><NA><NA><NA>
1930100003010000013202200032022-10-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-2290-1052<NA><NA>서울특별시 중구 순화동 **** 롯데캐슬베네치아서울특별시 중구 청계천로 ***, 지하*층 (황학동, 롯데캐슬베네치아)4572이마트청계천점(몰리스펫샵)2024-04-15 13:11:06U2023-12-03 23:07:00.0<NA>201823.908977452076.818664<NA><NA><NA><NA><NA>
2030100003010000013202300012023-07-25<NA>1영업/정상0정상<NA><NA><NA><NA>070-5057-1909<NA><NA>서울특별시 중구 중림동 **-* 신흥빌딩서울특별시 중구 청파로 ***, 신흥빌딩 *층 (중림동)4510(주)디브이몰2023-11-24 11:05:14U2022-10-31 22:06:00.0<NA>197175.20025450823.31978<NA><NA><NA><NA><NA>
2130100003010000013202300022023-08-11<NA>1영업/정상0정상<NA><NA><NA><NA>070-4048-0951<NA><NA>서울특별시 중구 순화동 *** 순화동더샵서울특별시 중구 칠패로 **, 순화동더샵 *층 ***호 (순화동)4511(주)디브이홀딩스2023-08-11 10:14:06I2022-12-07 23:03:00.0<NA>197462.198757450878.211786<NA><NA><NA><NA><NA>
2230100003010000013202400012024-03-11<NA>1영업/정상0정상<NA><NA><NA><NA>080-130-1000<NA><NA>서울특별시 중구 장충동*가 ***-*서울특별시 중구 동호로 ***, 별관 (장충동*가)4616주식회사 티알엔2024-03-11 10:13:07I2023-12-02 23:03:00.0<NA>200229.44504451067.548779<NA><NA><NA><NA><NA>
2330100003010000013202400022024-03-11<NA>1영업/정상0정상<NA><NA><NA><NA>080-130-1000<NA><NA>서울특별시 중구 장충동*가 ***-*서울특별시 중구 동호로 ***, 별관 (장충동*가)4616주식회사 티알엔2024-03-11 10:44:13I2023-12-02 23:03:00.0<NA>200229.44504451067.548779<NA><NA><NA><NA><NA>