Overview

Dataset statistics

Number of variables38
Number of observations2471
Missing cells24376
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory789.2 KiB
Average record size in memory327.1 B

Variable types

Numeric11
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123170

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.0%)Imbalance
휴업종료일자 is highly imbalanced (99.0%)Imbalance
공사립구분명 is highly imbalanced (99.1%)Imbalance
지도자수 is highly imbalanced (90.4%)Imbalance
회원모집총인원 is highly imbalanced (99.2%)Imbalance
인허가취소일자 has 2471 (100.0%) missing valuesMissing
폐업일자 has 864 (35.0%) missing valuesMissing
재개업일자 has 2471 (100.0%) missing valuesMissing
소재지전화 has 933 (37.8%) missing valuesMissing
소재지면적 has 2471 (100.0%) missing valuesMissing
소재지우편번호 has 585 (23.7%) missing valuesMissing
소재지전체주소 has 54 (2.2%) missing valuesMissing
도로명전체주소 has 140 (5.7%) missing valuesMissing
도로명우편번호 has 1368 (55.4%) missing valuesMissing
업태구분명 has 2471 (100.0%) missing valuesMissing
좌표정보(x) has 55 (2.2%) missing valuesMissing
좌표정보(y) has 55 (2.2%) missing valuesMissing
건축물동수 has 1928 (78.0%) missing valuesMissing
건축물연면적 has 1097 (44.4%) missing valuesMissing
세부업종명 has 2471 (100.0%) missing valuesMissing
법인명 has 2471 (100.0%) missing valuesMissing
Unnamed: 37 has 2471 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -35.6293328)Skewed
건축물연면적 is highly skewed (γ1 = 34.89206631)Skewed
번호 has unique valuesUnique
인허가취소일자 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
소재지면적 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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물동수 has 115 (4.7%) zerosZeros
건축물연면적 has 115 (4.7%) zerosZeros

Reproduction

Analysis started2024-04-21 21:14:13.534539
Analysis finished2024-04-21 21:14:15.163055
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2471
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1236
Minimum1
Maximum2471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:15.359773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile124.5
Q1618.5
median1236
Q31853.5
95-th percentile2347.5
Maximum2471
Range2470
Interquartile range (IQR)1235

Descriptive statistics

Standard deviation713.46058
Coefficient of variation (CV)0.57723348
Kurtosis-1.2
Mean1236
Median Absolute Deviation (MAD)618
Skewness0
Sum3054156
Variance509026
MonotonicityStrictly increasing
2024-04-22T06:14:15.801361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1651 1
 
< 0.1%
1644 1
 
< 0.1%
1645 1
 
< 0.1%
1646 1
 
< 0.1%
1647 1
 
< 0.1%
1648 1
 
< 0.1%
1649 1
 
< 0.1%
1650 1
 
< 0.1%
1652 1
 
< 0.1%
Other values (2461) 2461
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2471 1
< 0.1%
2470 1
< 0.1%
2469 1
< 0.1%
2468 1
< 0.1%
2467 1
< 0.1%
2466 1
< 0.1%
2465 1
< 0.1%
2464 1
< 0.1%
2463 1
< 0.1%
2462 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
당구장업
2471 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 2471
100.0%

Length

2024-04-22T06:14:16.208375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:16.498270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 2471
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
10_32_01_P
2471 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_32_01_P
2nd row10_32_01_P
3rd row10_32_01_P
4th row10_32_01_P
5th row10_32_01_P

Common Values

ValueCountFrequency (%)
10_32_01_P 2471
100.0%

Length

2024-04-22T06:14:16.797821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:17.086498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 2471
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324427.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:17.364341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39368.315
Coefficient of variation (CV)0.011842134
Kurtosis-0.77354245
Mean3324427.4
Median Absolute Deviation (MAD)30000
Skewness0.29107274
Sum8.21466 × 109
Variance1.5498643 × 109
MonotonicityNot monotonic
2024-04-22T06:14:17.753199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 336
13.6%
3310000 309
12.5%
3300000 283
11.5%
3350000 222
9.0%
3390000 198
8.0%
3340000 194
7.9%
3330000 172
7.0%
3320000 129
 
5.2%
3370000 108
 
4.4%
3280000 101
 
4.1%
Other values (6) 419
17.0%
ValueCountFrequency (%)
3250000 75
 
3.0%
3260000 62
 
2.5%
3270000 62
 
2.5%
3280000 101
 
4.1%
3290000 336
13.6%
3300000 283
11.5%
3310000 309
12.5%
3320000 129
 
5.2%
3330000 172
7.0%
3340000 194
7.9%
ValueCountFrequency (%)
3400000 100
 
4.0%
3390000 198
8.0%
3380000 78
 
3.2%
3370000 108
 
4.4%
3360000 42
 
1.7%
3350000 222
9.0%
3340000 194
7.9%
3330000 172
7.0%
3320000 129
5.2%
3310000 309
12.5%

관리번호
Text

Distinct707
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2024-04-22T06:14:18.471582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters49420
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)13.7%

Sample

1st rowCDFH3301081981000001
2nd rowCDFH3301082010000010
3rd rowCDFH3301082011000001
4th rowCDFH3301082011000002
5th rowCDFH3301082014000002
ValueCountFrequency (%)
cdfh3301082017000001 16
 
0.6%
cdfh3301082016000001 16
 
0.6%
cdfh3301082007000002 16
 
0.6%
cdfh3301082012000001 16
 
0.6%
cdfh3301082007000003 16
 
0.6%
cdfh3301082008000002 16
 
0.6%
cdfh3301082009000004 16
 
0.6%
cdfh3301082009000002 15
 
0.6%
cdfh3301082009000006 15
 
0.6%
cdfh3301082008000005 15
 
0.6%
Other values (697) 2314
93.6%
2024-04-22T06:14:19.559092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19818
40.1%
3 5628
 
11.4%
1 4760
 
9.6%
8 3079
 
6.2%
2 2559
 
5.2%
C 2471
 
5.0%
D 2471
 
5.0%
F 2471
 
5.0%
H 2471
 
5.0%
9 1633
 
3.3%
Other values (4) 2059
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39536
80.0%
Uppercase Letter 9884
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19818
50.1%
3 5628
 
14.2%
1 4760
 
12.0%
8 3079
 
7.8%
2 2559
 
6.5%
9 1633
 
4.1%
6 536
 
1.4%
7 535
 
1.4%
4 510
 
1.3%
5 478
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 2471
25.0%
D 2471
25.0%
F 2471
25.0%
H 2471
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39536
80.0%
Latin 9884
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19818
50.1%
3 5628
 
14.2%
1 4760
 
12.0%
8 3079
 
7.8%
2 2559
 
6.5%
9 1633
 
4.1%
6 536
 
1.4%
7 535
 
1.4%
4 510
 
1.3%
5 478
 
1.2%
Latin
ValueCountFrequency (%)
C 2471
25.0%
D 2471
25.0%
F 2471
25.0%
H 2471
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19818
40.1%
3 5628
 
11.4%
1 4760
 
9.6%
8 3079
 
6.2%
2 2559
 
5.2%
C 2471
 
5.0%
D 2471
 
5.0%
F 2471
 
5.0%
H 2471
 
5.0%
9 1633
 
3.3%
Other values (4) 2059
 
4.2%

인허가일자
Real number (ℝ)

Distinct1871
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20058291
Minimum19711022
Maximum20210416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:19.989274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19711022
5-th percentile19940827
Q120000106
median20070531
Q320101223
95-th percentile20180962
Maximum20210416
Range499394
Interquartile range (IQR)101117.5

Descriptive statistics

Standard deviation77575.595
Coefficient of variation (CV)0.0038675078
Kurtosis-0.19026041
Mean20058291
Median Absolute Deviation (MAD)49812
Skewness-0.24990146
Sum4.9564036 × 1010
Variance6.017973 × 109
MonotonicityNot monotonic
2024-04-22T06:14:20.444309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030206 63
 
2.5%
20030205 35
 
1.4%
20030204 21
 
0.8%
20030123 14
 
0.6%
20030210 12
 
0.5%
19890731 9
 
0.4%
20090609 5
 
0.2%
20030228 5
 
0.2%
20050418 4
 
0.2%
20080320 4
 
0.2%
Other values (1861) 2299
93.0%
ValueCountFrequency (%)
19711022 1
< 0.1%
19751001 1
< 0.1%
19790919 1
< 0.1%
19800919 1
< 0.1%
19810224 1
< 0.1%
19810307 1
< 0.1%
19810428 1
< 0.1%
19810822 1
< 0.1%
19811022 1
< 0.1%
19820708 1
< 0.1%
ValueCountFrequency (%)
20210416 1
< 0.1%
20210415 1
< 0.1%
20210413 1
< 0.1%
20210412 1
< 0.1%
20210406 1
< 0.1%
20210316 1
< 0.1%
20210222 1
< 0.1%
20210218 1
< 0.1%
20210126 1
< 0.1%
20210115 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
3
1415 
1
801 
4
250 
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 1415
57.3%
1 801
32.4%
4 250
 
10.1%
2 5
 
0.2%

Length

2024-04-22T06:14:20.849935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:21.160870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1415
57.3%
1 801
32.4%
4 250
 
10.1%
2 5
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
폐업
1415 
영업/정상
801 
취소/말소/만료/정지/중지
250 
휴업
 
5

Length

Max length14
Median length2
Mean length4.1865641
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1415
57.3%
영업/정상 801
32.4%
취소/말소/만료/정지/중지 250
 
10.1%
휴업 5
 
0.2%

Length

2024-04-22T06:14:21.518450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:21.839827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1415
57.3%
영업/정상 801
32.4%
취소/말소/만료/정지/중지 250
 
10.1%
휴업 5
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
03
1415 
13
800 
35
250 
02
 
5
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0008094
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row02
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 1415
57.3%
13 800
32.4%
35 250
 
10.1%
02 5
 
0.2%
BBBB 1
 
< 0.1%

Length

2024-04-22T06:14:22.226128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:22.572419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 1415
57.3%
13 800
32.4%
35 250
 
10.1%
02 5
 
0.2%
bbbb 1
 
< 0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
폐업
1415 
영업중
800 
직권말소
250 
휴업
 
5
<NA>
 
1

Length

Max length4
Median length2
Mean length2.5269122
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1415
57.3%
영업중 800
32.4%
직권말소 250
 
10.1%
휴업 5
 
0.2%
<NA> 1
 
< 0.1%

Length

2024-04-22T06:14:22.972023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:23.326374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1415
57.3%
영업중 800
32.4%
직권말소 250
 
10.1%
휴업 5
 
0.2%
na 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1065
Distinct (%)66.3%
Missing864
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean20108002
Minimum19941204
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:23.702607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941204
5-th percentile19990853
Q120060225
median20111019
Q320170221
95-th percentile20191224
Maximum20210430
Range269226
Interquartile range (IQR)109996

Descriptive statistics

Standard deviation64381.482
Coefficient of variation (CV)0.0032017842
Kurtosis-0.90052753
Mean20108002
Median Absolute Deviation (MAD)50916
Skewness-0.34456686
Sum3.2313559 × 1010
Variance4.1449753 × 109
MonotonicityNot monotonic
2024-04-22T06:14:24.161532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180302 59
 
2.4%
20151231 40
 
1.6%
20181204 30
 
1.2%
20040504 30
 
1.2%
20140411 27
 
1.1%
20030613 20
 
0.8%
20070801 19
 
0.8%
20191105 16
 
0.6%
20021212 15
 
0.6%
20121231 11
 
0.4%
Other values (1055) 1340
54.2%
(Missing) 864
35.0%
ValueCountFrequency (%)
19941204 1
 
< 0.1%
19961018 1
 
< 0.1%
19970205 5
0.2%
19970416 1
 
< 0.1%
19970417 1
 
< 0.1%
19970424 1
 
< 0.1%
19970510 1
 
< 0.1%
19970516 1
 
< 0.1%
19970618 1
 
< 0.1%
19970620 1
 
< 0.1%
ValueCountFrequency (%)
20210430 1
< 0.1%
20210420 1
< 0.1%
20210415 1
< 0.1%
20210412 1
< 0.1%
20210409 1
< 0.1%
20210408 2
0.1%
20210407 1
< 0.1%
20210405 1
< 0.1%
20210402 1
< 0.1%
20210324 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2466 
20091112
 
1
20201215
 
1
20091102
 
1
20170101
 
1

Length

Max length8
Median length4
Mean length4.0080939
Min length4

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row20091112
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2466
99.8%
20091112 1
 
< 0.1%
20201215 1
 
< 0.1%
20091102 1
 
< 0.1%
20170101 1
 
< 0.1%
20201221 1
 
< 0.1%

Length

2024-04-22T06:14:24.605033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:24.950831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2466
99.8%
20091112 1
 
< 0.1%
20201215 1
 
< 0.1%
20091102 1
 
< 0.1%
20170101 1
 
< 0.1%
20201221 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2466 
20100530
 
1
20210630
 
1
20100630
 
1
20171231
 
1

Length

Max length8
Median length4
Mean length4.0080939
Min length4

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row20100530
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2466
99.8%
20100530 1
 
< 0.1%
20210630 1
 
< 0.1%
20100630 1
 
< 0.1%
20171231 1
 
< 0.1%
20210620 1
 
< 0.1%

Length

2024-04-22T06:14:25.345759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:25.692656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2466
99.8%
20100530 1
 
< 0.1%
20210630 1
 
< 0.1%
20100630 1
 
< 0.1%
20171231 1
 
< 0.1%
20210620 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

소재지전화
Text

MISSING 

Distinct1492
Distinct (%)97.0%
Missing933
Missing (%)37.8%
Memory size19.4 KiB
2024-04-22T06:14:26.708393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.216515
Min length5

Characters and Unicode

Total characters14175
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1447 ?
Unique (%)94.1%

Sample

1st row246-2067
2nd row464-8408
3rd row070-8902-7446
4th row051-242-1791
5th row255-1244
ValueCountFrequency (%)
513-3668 3
 
0.2%
518-3638 2
 
0.1%
531-5635 2
 
0.1%
645-3240 2
 
0.1%
051)623-7226 2
 
0.1%
632-7087 2
 
0.1%
528-0321 2
 
0.1%
507-6221 2
 
0.1%
516-8420 2
 
0.1%
051-247-2649 2
 
0.1%
Other values (1483) 1518
98.6%
2024-04-22T06:14:28.181496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1892
13.3%
5 1731
12.2%
0 1559
11.0%
1 1426
10.1%
2 1402
9.9%
3 1166
8.2%
6 1122
7.9%
4 1011
7.1%
8 1003
7.1%
7 996
7.0%
Other values (6) 867
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12250
86.4%
Dash Punctuation 1892
 
13.3%
Close Punctuation 27
 
0.2%
Other Punctuation 4
 
< 0.1%
Space Separator 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1731
14.1%
0 1559
12.7%
1 1426
11.6%
2 1402
11.4%
3 1166
9.5%
6 1122
9.2%
4 1011
8.3%
8 1003
8.2%
7 996
8.1%
9 834
6.8%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1892
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1892
13.3%
5 1731
12.2%
0 1559
11.0%
1 1426
10.1%
2 1402
9.9%
3 1166
8.2%
6 1122
7.9%
4 1011
7.1%
8 1003
7.1%
7 996
7.0%
Other values (6) 867
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1892
13.3%
5 1731
12.2%
0 1559
11.0%
1 1426
10.1%
2 1402
9.9%
3 1166
8.2%
6 1122
7.9%
4 1011
7.1%
8 1003
7.1%
7 996
7.0%
Other values (6) 867
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct520
Distinct (%)27.6%
Missing585
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean610357.54
Minimum48738
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:28.527218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48738
5-th percentile602011
Q1607816
median609814.5
Q3614826
95-th percentile617845
Maximum619963
Range571225
Interquartile range (IQR)7010

Descriptive statistics

Standard deviation13820.388
Coefficient of variation (CV)0.022643103
Kurtosis1448.3361
Mean610357.54
Median Absolute Deviation (MAD)3032.5
Skewness-35.629333
Sum1.1511343 × 109
Variance1.9100313 × 108
MonotonicityNot monotonic
2024-04-22T06:14:28.770577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608805 42
 
1.7%
609839 30
 
1.2%
608810 26
 
1.1%
619903 22
 
0.9%
604851 21
 
0.8%
607804 20
 
0.8%
614846 19
 
0.8%
608804 19
 
0.8%
614845 16
 
0.6%
607833 15
 
0.6%
Other values (510) 1656
67.0%
(Missing) 585
 
23.7%
ValueCountFrequency (%)
48738 1
 
< 0.1%
600012 2
 
0.1%
600013 1
 
< 0.1%
600022 2
 
0.1%
600025 1
 
< 0.1%
600042 2
 
0.1%
600044 1
 
< 0.1%
600045 4
0.2%
600046 8
0.3%
600051 1
 
< 0.1%
ValueCountFrequency (%)
619963 6
 
0.2%
619961 2
 
0.1%
619953 1
 
< 0.1%
619952 2
 
0.1%
619951 1
 
< 0.1%
619912 4
 
0.2%
619906 3
 
0.1%
619905 15
0.6%
619904 2
 
0.1%
619903 22
0.9%

소재지전체주소
Text

MISSING 

Distinct2242
Distinct (%)92.8%
Missing54
Missing (%)2.2%
Memory size19.4 KiB
2024-04-22T06:14:29.909649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length41
Mean length23.338022
Min length13

Characters and Unicode

Total characters56408
Distinct characters292
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2086 ?
Unique (%)86.3%

Sample

1st row부산광역시 중구 창선동1가 27-1번지 3층
2nd row부산광역시 중구 중앙동4가 81-12번지 상일빌딩 3층
3rd row부산광역시 중구 동광동1가 13-1 2층
4th row부산광역시 중구 부평동3가 18-2번지 2층
5th row부산광역시 중구 남포동4가 7번지
ValueCountFrequency (%)
부산광역시 2417
 
22.2%
부산진구 336
 
3.1%
남구 307
 
2.8%
동래구 283
 
2.6%
3층 225
 
2.1%
금정구 222
 
2.0%
사상구 194
 
1.8%
2층 180
 
1.6%
사하구 175
 
1.6%
해운대구 169
 
1.5%
Other values (2523) 6402
58.7%
2024-04-22T06:14:31.307451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8494
 
15.1%
부 2964
 
5.3%
산 2883
 
5.1%
동 2779
 
4.9%
광 2457
 
4.4%
시 2430
 
4.3%
1 2423
 
4.3%
역 2418
 
4.3%
구 2394
 
4.2%
지 2291
 
4.1%
Other values (282) 24875
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33523
59.4%
Decimal Number 11930
 
21.1%
Space Separator 8494
 
15.1%
Dash Punctuation 2274
 
4.0%
Close Punctuation 63
 
0.1%
Open Punctuation 63
 
0.1%
Other Punctuation 37
 
0.1%
Uppercase Letter 20
 
< 0.1%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2964
 
8.8%
산 2883
 
8.6%
동 2779
 
8.3%
광 2457
 
7.3%
시 2430
 
7.2%
역 2418
 
7.2%
구 2394
 
7.1%
지 2291
 
6.8%
번 2184
 
6.5%
층 720
 
2.1%
Other values (253) 10003
29.8%
Decimal Number
ValueCountFrequency (%)
1 2423
20.3%
2 1708
14.3%
3 1503
12.6%
4 1244
10.4%
5 1103
9.2%
6 877
 
7.4%
7 822
 
6.9%
0 821
 
6.9%
8 762
 
6.4%
9 667
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
40.0%
A 4
20.0%
C 2
 
10.0%
F 2
 
10.0%
T 1
 
5.0%
O 1
 
5.0%
N 1
 
5.0%
S 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 32
86.5%
. 2
 
5.4%
/ 1
 
2.7%
· 1
 
2.7%
& 1
 
2.7%
Space Separator
ValueCountFrequency (%)
8494
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33523
59.4%
Common 22864
40.5%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2964
 
8.8%
산 2883
 
8.6%
동 2779
 
8.3%
광 2457
 
7.3%
시 2430
 
7.2%
역 2418
 
7.2%
구 2394
 
7.1%
지 2291
 
6.8%
번 2184
 
6.5%
층 720
 
2.1%
Other values (253) 10003
29.8%
Common
ValueCountFrequency (%)
8494
37.2%
1 2423
 
10.6%
- 2274
 
9.9%
2 1708
 
7.5%
3 1503
 
6.6%
4 1244
 
5.4%
5 1103
 
4.8%
6 877
 
3.8%
7 822
 
3.6%
0 821
 
3.6%
Other values (10) 1595
 
7.0%
Latin
ValueCountFrequency (%)
B 8
38.1%
A 4
19.0%
C 2
 
9.5%
F 2
 
9.5%
T 1
 
4.8%
O 1
 
4.8%
N 1
 
4.8%
S 1
 
4.8%
Ⅱ 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33523
59.4%
ASCII 22883
40.6%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8494
37.1%
1 2423
 
10.6%
- 2274
 
9.9%
2 1708
 
7.5%
3 1503
 
6.6%
4 1244
 
5.4%
5 1103
 
4.8%
6 877
 
3.8%
7 822
 
3.6%
0 821
 
3.6%
Other values (17) 1614
 
7.1%
Hangul
ValueCountFrequency (%)
부 2964
 
8.8%
산 2883
 
8.6%
동 2779
 
8.3%
광 2457
 
7.3%
시 2430
 
7.2%
역 2418
 
7.2%
구 2394
 
7.1%
지 2291
 
6.8%
번 2184
 
6.5%
층 720
 
2.1%
Other values (253) 10003
29.8%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2248
Distinct (%)96.4%
Missing140
Missing (%)5.7%
Memory size19.4 KiB
2024-04-22T06:14:32.464401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length46
Mean length28.141141
Min length17

Characters and Unicode

Total characters65597
Distinct characters368
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2171 ?
Unique (%)93.1%

Sample

1st row부산광역시 중구 광복로49번길 5 (창선동1가,3층)
2nd row부산광역시 중구 충장대로9번길 33 (중앙동4가,상일빌딩 3층)
3rd row부산광역시 중구 해관로 3 (동광동1가)
4th row부산광역시 중구 흑교로35번길 3 (부평동3가,2층)
5th row부산광역시 중구 자갈치로59번길 6 (남포동4가)
ValueCountFrequency (%)
부산광역시 2331
 
18.3%
부산진구 325
 
2.6%
남구 283
 
2.2%
동래구 269
 
2.1%
금정구 215
 
1.7%
사하구 186
 
1.5%
사상구 184
 
1.4%
3층 178
 
1.4%
해운대구 165
 
1.3%
2층 165
 
1.3%
Other values (2173) 8424
66.2%
2024-04-22T06:14:33.885477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11409
 
17.4%
동 2935
 
4.5%
부 2891
 
4.4%
산 2839
 
4.3%
광 2430
 
3.7%
시 2428
 
3.7%
구 2377
 
3.6%
역 2332
 
3.6%
( 2317
 
3.5%
) 2317
 
3.5%
Other values (358) 31322
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38559
58.8%
Space Separator 11409
 
17.4%
Decimal Number 9370
 
14.3%
Open Punctuation 2317
 
3.5%
Close Punctuation 2317
 
3.5%
Other Punctuation 1272
 
1.9%
Dash Punctuation 322
 
0.5%
Uppercase Letter 25
 
< 0.1%
Math Symbol 5
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2935
 
7.6%
부 2891
 
7.5%
산 2839
 
7.4%
광 2430
 
6.3%
시 2428
 
6.3%
구 2377
 
6.2%
역 2332
 
6.0%
로 2292
 
5.9%
층 943
 
2.4%
대 935
 
2.4%
Other values (328) 16157
41.9%
Decimal Number
ValueCountFrequency (%)
1 1885
20.1%
2 1502
16.0%
3 1186
12.7%
4 872
9.3%
5 821
8.8%
6 730
 
7.8%
0 629
 
6.7%
8 592
 
6.3%
7 582
 
6.2%
9 571
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
44.0%
A 5
20.0%
F 2
 
8.0%
C 2
 
8.0%
S 1
 
4.0%
K 1
 
4.0%
M 1
 
4.0%
O 1
 
4.0%
T 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1267
99.6%
. 2
 
0.2%
· 1
 
0.1%
/ 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11409
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38559
58.8%
Common 27012
41.2%
Latin 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2935
 
7.6%
부 2891
 
7.5%
산 2839
 
7.4%
광 2430
 
6.3%
시 2428
 
6.3%
구 2377
 
6.2%
역 2332
 
6.0%
로 2292
 
5.9%
층 943
 
2.4%
대 935
 
2.4%
Other values (328) 16157
41.9%
Common
ValueCountFrequency (%)
11409
42.2%
( 2317
 
8.6%
) 2317
 
8.6%
1 1885
 
7.0%
2 1502
 
5.6%
, 1267
 
4.7%
3 1186
 
4.4%
4 872
 
3.2%
5 821
 
3.0%
6 730
 
2.7%
Other values (10) 2706
 
10.0%
Latin
ValueCountFrequency (%)
B 11
42.3%
A 5
19.2%
F 2
 
7.7%
C 2
 
7.7%
S 1
 
3.8%
K 1
 
3.8%
M 1
 
3.8%
Ⅱ 1
 
3.8%
O 1
 
3.8%
T 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38559
58.8%
ASCII 27036
41.2%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11409
42.2%
( 2317
 
8.6%
) 2317
 
8.6%
1 1885
 
7.0%
2 1502
 
5.6%
, 1267
 
4.7%
3 1186
 
4.4%
4 872
 
3.2%
5 821
 
3.0%
6 730
 
2.7%
Other values (18) 2730
 
10.1%
Hangul
ValueCountFrequency (%)
동 2935
 
7.6%
부 2891
 
7.5%
산 2839
 
7.4%
광 2430
 
6.3%
시 2428
 
6.3%
구 2377
 
6.2%
역 2332
 
6.0%
로 2292
 
5.9%
층 943
 
2.4%
대 935
 
2.4%
Other values (328) 16157
41.9%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct627
Distinct (%)56.8%
Missing1368
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean118056.73
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:34.124271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46092.1
Q147110
median47790
Q348982
95-th percentile609844.5
Maximum619963
Range573961
Interquartile range (IQR)1872

Descriptive statistics

Standard deviation186188.5
Coefficient of variation (CV)1.5771104
Kurtosis3.1587357
Mean118056.73
Median Absolute Deviation (MAD)948
Skewness2.2697316
Sum1.3021658 × 108
Variance3.4666157 × 1010
MonotonicityNot monotonic
2024-04-22T06:14:34.362236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 10
 
0.4%
48106 10
 
0.4%
47229 10
 
0.4%
48498 10
 
0.4%
48512 10
 
0.4%
47288 8
 
0.3%
47520 8
 
0.3%
46056 8
 
0.3%
47736 7
 
0.3%
46061 7
 
0.3%
Other values (617) 1015
41.1%
(Missing) 1368
55.4%
ValueCountFrequency (%)
46002 1
 
< 0.1%
46008 2
 
0.1%
46012 1
 
< 0.1%
46015 6
0.2%
46017 1
 
< 0.1%
46022 1
 
< 0.1%
46023 5
0.2%
46033 1
 
< 0.1%
46034 1
 
< 0.1%
46044 2
 
0.1%
ValueCountFrequency (%)
619963 3
0.1%
619952 2
0.1%
619951 1
 
< 0.1%
619912 1
 
< 0.1%
619905 4
0.2%
619903 3
0.1%
619901 1
 
< 0.1%
618814 2
0.1%
618807 1
 
< 0.1%
617846 1
 
< 0.1%

사업장명
Text

Distinct1599
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2024-04-22T06:14:35.346538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length5.8142452
Min length1

Characters and Unicode

Total characters14367
Distinct characters560
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1234 ?
Unique (%)49.9%

Sample

1st row미강 당구클럽
2nd row롯데당구장
3rd row스타당구클럽
4th row왕당구장
5th row동명당구장
ValueCountFrequency (%)
당구클럽 222
 
7.4%
당구장 221
 
7.4%
큐당구장 21
 
0.7%
에이스당구장 21
 
0.7%
한큐당구장 19
 
0.6%
롯데당구장 17
 
0.6%
vip당구장 14
 
0.5%
로얄당구장 14
 
0.5%
스타당구클럽 13
 
0.4%
큐 13
 
0.4%
Other values (1563) 2429
80.9%
2024-04-22T06:14:36.865417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 2345
16.3%
구 2339
16.3%
장 1532
 
10.7%
럽 772
 
5.4%
클 770
 
5.4%
533
 
3.7%
스 266
 
1.9%
이 159
 
1.1%
리 140
 
1.0%
드 100
 
0.7%
Other values (550) 5411
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12933
90.0%
Uppercase Letter 562
 
3.9%
Space Separator 533
 
3.7%
Decimal Number 167
 
1.2%
Lowercase Letter 100
 
0.7%
Other Punctuation 34
 
0.2%
Open Punctuation 15
 
0.1%
Close Punctuation 15
 
0.1%
Dash Punctuation 5
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 2345
18.1%
구 2339
18.1%
장 1532
 
11.8%
럽 772
 
6.0%
클 770
 
6.0%
스 266
 
2.1%
이 159
 
1.2%
리 140
 
1.1%
드 100
 
0.8%
아 92
 
0.7%
Other values (482) 4418
34.2%
Uppercase Letter
ValueCountFrequency (%)
K 49
 
8.7%
I 46
 
8.2%
B 44
 
7.8%
P 43
 
7.7%
C 39
 
6.9%
O 36
 
6.4%
S 33
 
5.9%
J 33
 
5.9%
V 29
 
5.2%
M 27
 
4.8%
Other values (16) 183
32.6%
Lowercase Letter
ValueCountFrequency (%)
i 11
11.0%
l 11
11.0%
e 11
11.0%
o 11
11.0%
n 9
 
9.0%
s 6
 
6.0%
r 5
 
5.0%
k 5
 
5.0%
y 4
 
4.0%
p 4
 
4.0%
Other values (10) 23
23.0%
Decimal Number
ValueCountFrequency (%)
2 56
33.5%
0 49
29.3%
1 13
 
7.8%
5 11
 
6.6%
7 9
 
5.4%
3 9
 
5.4%
4 9
 
5.4%
8 6
 
3.6%
9 4
 
2.4%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 21
61.8%
& 10
29.4%
＆ 1
 
2.9%
· 1
 
2.9%
' 1
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
533
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12932
90.0%
Common 770
 
5.4%
Latin 664
 
4.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 2345
18.1%
구 2339
18.1%
장 1532
 
11.8%
럽 772
 
6.0%
클 770
 
6.0%
스 266
 
2.1%
이 159
 
1.2%
리 140
 
1.1%
드 100
 
0.8%
아 92
 
0.7%
Other values (481) 4417
34.2%
Latin
ValueCountFrequency (%)
K 49
 
7.4%
I 46
 
6.9%
B 44
 
6.6%
P 43
 
6.5%
C 39
 
5.9%
O 36
 
5.4%
S 33
 
5.0%
J 33
 
5.0%
V 29
 
4.4%
M 27
 
4.1%
Other values (38) 285
42.9%
Common
ValueCountFrequency (%)
533
69.2%
2 56
 
7.3%
0 49
 
6.4%
. 21
 
2.7%
( 15
 
1.9%
) 15
 
1.9%
1 13
 
1.7%
5 11
 
1.4%
& 10
 
1.3%
7 9
 
1.2%
Other values (10) 38
 
4.9%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12932
90.0%
ASCII 1430
 
10.0%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 2345
18.1%
구 2339
18.1%
장 1532
 
11.8%
럽 772
 
6.0%
클 770
 
6.0%
스 266
 
2.1%
이 159
 
1.2%
리 140
 
1.1%
드 100
 
0.8%
아 92
 
0.7%
Other values (481) 4417
34.2%
ASCII
ValueCountFrequency (%)
533
37.3%
2 56
 
3.9%
K 49
 
3.4%
0 49
 
3.4%
I 46
 
3.2%
B 44
 
3.1%
P 43
 
3.0%
C 39
 
2.7%
O 36
 
2.5%
S 33
 
2.3%
Other values (54) 502
35.1%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
CJK
ValueCountFrequency (%)
人 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2421
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0135555 × 1013
Minimum2.0021018 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:37.280333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.003013 × 1013
Q12.0100119 × 1013
median2.0150108 × 1013
Q32.0190121 × 1013
95-th percentile2.0201118 × 1013
Maximum2.021043 × 1013
Range1.8941201 × 1011
Interquartile range (IQR)9.0002465 × 1010

Descriptive statistics

Standard deviation5.722898 × 1010
Coefficient of variation (CV)0.0028421854
Kurtosis-0.96818697
Mean2.0135555 × 1013
Median Absolute Deviation (MAD)4.0308058 × 1010
Skewness-0.53550669
Sum4.9754956 × 1016
Variance3.2751562 × 1021
MonotonicityNot monotonic
2024-04-22T06:14:37.741640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 51
 
2.1%
20110405171113 1
 
< 0.1%
20200808124358 1
 
< 0.1%
20170209184907 1
 
< 0.1%
20160106112044 1
 
< 0.1%
20190529175656 1
 
< 0.1%
20200129154624 1
 
< 0.1%
20160304135234 1
 
< 0.1%
20200915153233 1
 
< 0.1%
20180907091504 1
 
< 0.1%
Other values (2411) 2411
97.6%
ValueCountFrequency (%)
20021018132120 51
2.1%
20021226152409 1
 
< 0.1%
20021226160855 1
 
< 0.1%
20030122170454 1
 
< 0.1%
20030129131456 1
 
< 0.1%
20030129131650 1
 
< 0.1%
20030129131909 1
 
< 0.1%
20030129132119 1
 
< 0.1%
20030129132331 1
 
< 0.1%
20030129132758 1
 
< 0.1%
ValueCountFrequency (%)
20210430144123 1
< 0.1%
20210430131900 1
< 0.1%
20210430131733 1
< 0.1%
20210428093742 1
< 0.1%
20210427173250 1
< 0.1%
20210421133901 1
< 0.1%
20210421133746 1
< 0.1%
20210420164539 1
< 0.1%
20210419130335 1
< 0.1%
20210416103544 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
I
1833 
U
638 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1833
74.2%
U 638
 
25.8%

Length

2024-04-22T06:14:38.165274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:38.459127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1833
74.2%
u 638
 
25.8%

데이터갱신일자
Date

Distinct405
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-22T06:14:38.791349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:14:39.215963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1998
Distinct (%)82.7%
Missing55
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean387998.47
Minimum366797.99
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:39.551952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366797.99
5-th percentile379488.78
Q1384352.18
median388481.76
Q3391248.41
95-th percentile398088.08
Maximum407507.94
Range40709.949
Interquartile range (IQR)6896.2254

Descriptive statistics

Standard deviation5450.4093
Coefficient of variation (CV)0.014047502
Kurtosis0.82392808
Mean387998.47
Median Absolute Deviation (MAD)3014.6915
Skewness0.064600034
Sum9.3740432 × 108
Variance29706961
MonotonicityNot monotonic
2024-04-22T06:14:39.815708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384562.533290116 6
 
0.2%
387595.102722326 5
 
0.2%
401571.293559131 4
 
0.2%
390505.101306856 4
 
0.2%
393233.931123062 4
 
0.2%
388908.604289166 4
 
0.2%
401116.4692181 4
 
0.2%
380540.836768886 4
 
0.2%
391349.262268414 3
 
0.1%
387273.823822869 3
 
0.1%
Other values (1988) 2375
96.1%
(Missing) 55
 
2.2%
ValueCountFrequency (%)
366797.989707445 1
< 0.1%
366855.0 1
< 0.1%
367246.552965497 2
0.1%
369071.601644319 2
0.1%
371178.823833358 1
< 0.1%
371180.37604943 2
0.1%
371213.53898747 1
< 0.1%
371385.405359398 1
< 0.1%
371496.778103184 1
< 0.1%
371502.772992401 1
< 0.1%
ValueCountFrequency (%)
407507.938658253 1
< 0.1%
407446.416940698 1
< 0.1%
407303.1507896 1
< 0.1%
404068.502952528 1
< 0.1%
403957.091856758 1
< 0.1%
403228.830281258 2
0.1%
403179.253509945 2
0.1%
403006.172525973 1
< 0.1%
403001.083780456 1
< 0.1%
402079.691491799 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1999
Distinct (%)82.7%
Missing55
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean187045.77
Minimum173942.79
Maximum206087.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:40.075604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173942.79
5-th percentile178348.75
Q1183135.28
median186781.19
Q3191289.35
95-th percentile196031.79
Maximum206087.66
Range32144.873
Interquartile range (IQR)8154.0707

Descriptive statistics

Standard deviation5712.9608
Coefficient of variation (CV)0.030543117
Kurtosis-0.15375055
Mean187045.77
Median Absolute Deviation (MAD)4234.6434
Skewness0.2172185
Sum4.5190258 × 108
Variance32637921
MonotonicityNot monotonic
2024-04-22T06:14:40.326813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179361.298668272 6
 
0.2%
190535.936802036 5
 
0.2%
195465.104335761 4
 
0.2%
195938.291528197 4
 
0.2%
195846.489057903 4
 
0.2%
175274.144961403 4
 
0.2%
190012.553039064 4
 
0.2%
176379.803789436 3
 
0.1%
193013.278491635 3
 
0.1%
186071.582645088 3
 
0.1%
Other values (1989) 2376
96.2%
(Missing) 55
 
2.2%
ValueCountFrequency (%)
173942.787360397 1
< 0.1%
173968.574615591 1
< 0.1%
173982.009447475 1
< 0.1%
174016.551235181 1
< 0.1%
174224.152359805 2
0.1%
174641.982653379 1
< 0.1%
174657.566707169 1
< 0.1%
174707.314763734 1
< 0.1%
174848.053190733 1
< 0.1%
174871.825606384 1
< 0.1%
ValueCountFrequency (%)
206087.660447249 1
< 0.1%
206086.593324435 1
< 0.1%
205750.820021879 1
< 0.1%
205722.852692375 1
< 0.1%
205607.132941984 1
< 0.1%
205170.989861484 1
< 0.1%
205082.149335562 1
< 0.1%
204908.786977 1
< 0.1%
204805.740046167 2
0.1%
204718.966111877 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
당구장업
2471 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 2471
100.0%

Length

2024-04-22T06:14:40.556396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:40.708714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 2471
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
사립
2469 
공립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 2469
99.9%
공립 2
 
0.1%

Length

2024-04-22T06:14:40.867881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:41.026912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 2469
99.9%
공립 2
 
0.1%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
1759 
0
709 
Y
 
3

Length

Max length4
Median length4
Mean length3.1355726
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1759
71.2%
0 709
28.7%
Y 3
 
0.1%

Length

2024-04-22T06:14:41.207898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:41.388149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1759
71.2%
0 709
28.7%
y 3
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2418 
0
 
52
1
 
1

Length

Max length4
Median length4
Mean length3.9356536
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2418
97.9%
0 52
 
2.1%
1 1
 
< 0.1%

Length

2024-04-22T06:14:41.573339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:41.747303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2418
97.9%
0 52
 
2.1%
1 1
 
< 0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.1%
Missing1928
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean0.8305709
Minimum0
Maximum7
Zeros115
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:41.889655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.55076686
Coefficient of variation (CV)0.66311842
Kurtosis31.167036
Mean0.8305709
Median Absolute Deviation (MAD)0
Skewness2.7290101
Sum451
Variance0.30334414
MonotonicityNot monotonic
2024-04-22T06:14:42.075190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 415
 
16.8%
0 115
 
4.7%
2 8
 
0.3%
3 3
 
0.1%
7 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 1928
78.0%
ValueCountFrequency (%)
0 115
 
4.7%
1 415
16.8%
2 8
 
0.3%
3 3
 
0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
0.1%
2 8
 
0.3%
1 415
16.8%
0 115
 
4.7%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1023
Distinct (%)74.5%
Missing1097
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2388.9816
Minimum0
Maximum1415109
Zeros115
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2024-04-22T06:14:42.303707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1131.1425
median216.315
Q3972.52
95-th percentile3568.03
Maximum1415109
Range1415109
Interquartile range (IQR)841.3775

Descriptive statistics

Standard deviation38982.805
Coefficient of variation (CV)16.31775
Kurtosis1259.6037
Mean2388.9816
Median Absolute Deviation (MAD)216.215
Skewness34.892066
Sum3282460.8
Variance1.5196591 × 109
MonotonicityNot monotonic
2024-04-22T06:14:42.562651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 115
 
4.7%
0.1 56
 
2.3%
150.0 35
 
1.4%
160.0 23
 
0.9%
140.0 13
 
0.5%
158.0 11
 
0.4%
120.0 8
 
0.3%
152.0 7
 
0.3%
99.0 6
 
0.2%
200.0 5
 
0.2%
Other values (1013) 1095
44.3%
(Missing) 1097
44.4%
ValueCountFrequency (%)
0.0 115
4.7%
0.1 56
2.3%
66.0 2
 
0.1%
67.8 1
 
< 0.1%
68.4 1
 
< 0.1%
69.87 1
 
< 0.1%
71.3 1
 
< 0.1%
71.74 1
 
< 0.1%
72.26 1
 
< 0.1%
72.28 1
 
< 0.1%
ValueCountFrequency (%)
1415109.0 1
< 0.1%
222898.94 1
< 0.1%
148319.0 1
< 0.1%
55054.37 1
< 0.1%
54329.02 1
< 0.1%
43022.0 1
< 0.1%
42844.95 1
< 0.1%
39004.45 1
< 0.1%
33338.82 1
< 0.1%
32387.59 1
< 0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2468 
0
 
1
30
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9971671
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2468
99.9%
0 1
 
< 0.1%
30 1
 
< 0.1%
50 1
 
< 0.1%

Length

2024-04-22T06:14:42.816868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:14:42.995127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2468
99.9%
0 1
 
< 0.1%
30 1
 
< 0.1%
50 1
 
< 0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
01당구장업10_32_01_P3250000CDFH330108198100000119811022<NA>2휴업02휴업<NA>2009111220100530<NA>246-2067<NA>600051부산광역시 중구 창선동1가 27-1번지 3층부산광역시 중구 광복로49번길 5 (창선동1가,3층)<NA>미강 당구클럽20110405171113I2018-08-31 23:59:59.0<NA>385066.966007179715.008154당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
12당구장업10_32_01_P3250000CDFH330108201000001020100125<NA>3폐업03폐업20110527<NA><NA><NA>464-8408<NA>600817부산광역시 중구 중앙동4가 81-12번지 상일빌딩 3층부산광역시 중구 충장대로9번길 33 (중앙동4가,상일빌딩 3층)<NA>롯데당구장20110530084715I2018-08-31 23:59:59.0<NA>385720.420341180698.091507당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
23당구장업10_32_01_P3250000CDFH330108201100000120110311<NA>3폐업03폐업20201110<NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동1가 13-1 2층부산광역시 중구 해관로 3 (동광동1가)48955스타당구클럽20201113164806U2020-11-15 02:40:00.0<NA>385545.088737179683.900972당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
34당구장업10_32_01_P3250000CDFH330108201100000220110513<NA>3폐업03폐업20110715<NA><NA><NA>070-8902-7446<NA>600808부산광역시 중구 부평동3가 18-2번지 2층부산광역시 중구 흑교로35번길 3 (부평동3가,2층)<NA>왕당구장20110715175148I2018-08-31 23:59:59.0<NA>384556.943464180035.746538당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
45당구장업10_32_01_P3250000CDFH330108201400000220140402<NA>3폐업03폐업20170201<NA><NA><NA>051-242-1791<NA>600044부산광역시 중구 남포동4가 7번지부산광역시 중구 자갈치로59번길 6 (남포동4가)48984동명당구장20170515111020I2018-08-31 23:59:59.0<NA>385115.989447179528.531518당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
56당구장업10_32_01_P3250000CDFH330108201500000220151021<NA>3폐업03폐업20160823<NA><NA><NA>255-1244<NA><NA>부산광역시 중구 남포동6가 108번지부산광역시 중구 비프광장로 4-1 (남포동6가)48981후루꾸당구장20160823175028I2018-08-31 23:59:59.0<NA>384653.072801179543.44942당구장업사립<NA><NA><NA>173.76<NA><NA><NA><NA>
67당구장업10_32_01_P3250000CDFH330108201600000120160129<NA>3폐업03폐업20210420<NA><NA><NA>051-462-4533<NA><NA><NA>부산광역시 중구 중앙대로116번길 5, 3층 (중앙동4가)48937크라운당구장20210420164539U2021-04-22 02:40:00.0<NA>385676.0180647.0당구장업사립<NA><NA>1<NA><NA><NA><NA><NA>
78당구장업10_32_01_P3250000CDFH330108198500000119850124<NA>3폐업03폐업20130103<NA><NA><NA>051-442-2356,<NA>600815부산광역시 중구 중앙동4가 29-3번지부산광역시 중구 해관로 58 (중앙동4가)<NA>둥지당구장20130103111547I2018-08-31 23:59:59.0<NA>385545.57866180227.399825당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
89당구장업10_32_01_P3250000CDFH330108198500000219850920<NA>3폐업03폐업20010630<NA><NA><NA>051-462-4918<NA>600817부산광역시 중구 중앙동4가 81-19번지부산광역시 중구 중앙대로116번길 7 (중앙동4가)<NA>우미당구장20030611133209I2018-08-31 23:59:59.0<NA>385696.117898180645.097632당구장업사립0<NA><NA>117.0<NA><NA><NA><NA>
910당구장업10_32_01_P3250000CDFH330108198600000119860130<NA>3폐업03폐업20070226<NA><NA><NA>051-256-9886<NA>600803부산광역시 중구 보수동1가 133-2번지부산광역시 중구 대청로 63 (보수동1가)<NA>청룡 당구장20070226114310I2018-08-31 23:59:59.0<NA>384738.483874180116.585539당구장업사립0<NA><NA>210.0<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
24612462당구장업10_32_01_P3330000CDFH330108200800000520080320<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612842부산광역시 해운대구 좌동 1481-1번지부산광역시 해운대구 세실로27번길 23 (좌동)<NA>스카이 당구장20181204115738U2018-12-06 02:40:00.0<NA>398340.348133187691.178308당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
24622463당구장업10_32_01_P3330000CDFH330108200800000920080416<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612811부산광역시 해운대구 반여동 1217-16번지부산광역시 해운대구 선수촌로 109-1 (반여동)<NA>아시아드 당구장20181204111017U2018-12-06 02:40:00.0<NA>392954.815258191435.646015당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
24632464당구장업10_32_01_P3330000CDFH330108201100000820110520<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612814부산광역시 해운대구 반여동 1291-809번지 3층부산광역시 해운대구 재반로 200, 3층 (반여동)48030엄지당구장20181204131834U2018-12-06 02:40:00.0<NA>393998.759047190496.679976당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
24642465당구장업10_32_01_P3330000CDFH330108201500000220150429<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA><NA><NA>612800부산광역시 해운대구 반송동 62-52번지부산광역시 해운대구 윗반송로51번길 168 (반송동)48006우리동네 당구장20191227113210U2019-12-29 02:40:00.0<NA>396338.02481194766.769002당구장업사립<NA><NA>1<NA><NA><NA><NA><NA>
24652466당구장업10_32_01_P3330000CDFH330108200900001920091015<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA><NA><NA>612842부산광역시 해운대구 좌동 1484-1번지부산광역시 해운대구 세실로 45 (좌동)<NA>Q(큐)당구클럽20191227113129U2019-12-29 02:40:00.0<NA>398385.454005187707.740295당구장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
24662467당구장업10_32_01_P3330000CDFH330108201100001320110711<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612836부산광역시 해운대구 좌동 1465-4번지 화창프라자 401호부산광역시 해운대구 세실로69번길 5, 401호 (좌동, 화창프라자)48106D.S당구장20181204122814U2018-12-06 02:40:00.0<NA>398209.525949187911.687754당구장업사립<NA><NA><NA>162.0<NA><NA><NA><NA>
24672468당구장업10_32_01_P3330000CDFH330108201200000420120511<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612842부산광역시 해운대구 좌동 1479-3번지 세종월드프라자 522호부산광역시 해운대구 해운대로 814, 522호 (좌동, 세종월드프라자)48111NC당구장20181204132759U2019-05-10 02:40:00.0<NA>398330.51653187771.511374당구장업사립<NA><NA>1<NA>50<NA><NA><NA>
24682469당구장업10_32_01_P3330000CDFH330108201600000120160304<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재반로 101-1 (재송동, 빵빠레노래연습장)48054비치당구클럽20181204131633U2018-12-06 02:40:00.0<NA>393548.097152189681.165875당구장업사립<NA><NA><NA>995.13<NA><NA><NA><NA>
24692470당구장업10_32_01_P3330000CDFH330108199900000319990730<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-743-2265<NA>612819부산광역시 해운대구 우동 449-3번지부산광역시 해운대구 우동1로20번가길 31 (우동)<NA>행운당구장20181204131438U2019-05-10 02:40:00.0<NA>396578.079876187359.846369당구장업사립<NA><NA><NA>151.1<NA><NA><NA><NA>
24702471당구장업10_32_01_P3330000CDFH330108200200001220020830<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA>051-542-1187<NA>612802부산광역시 해운대구 반송동 250-1609번지부산광역시 해운대구 아랫반송로59번길 52 (반송동)<NA>심플당구장20191227112117U2019-12-29 02:40:00.0<NA>395897.122539193692.64705당구장업사립<NA><NA><NA>82.5<NA><NA><NA><NA>