Overview

Dataset statistics

Number of variables38
Number of observations2459
Missing cells24254
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory785.4 KiB
Average record size in memory327.1 B

Variable types

Numeric11
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description2021-02-01
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 (99.0%)Imbalance
지도자수 is highly imbalanced (90.3%)Imbalance
회원모집총인원 is highly imbalanced (99.2%)Imbalance
인허가취소일자 has 2459 (100.0%) missing valuesMissing
폐업일자 has 869 (35.3%) missing valuesMissing
재개업일자 has 2459 (100.0%) missing valuesMissing
소재지전화 has 921 (37.5%) missing valuesMissing
소재지면적 has 2459 (100.0%) missing valuesMissing
소재지우편번호 has 575 (23.4%) missing valuesMissing
소재지전체주소 has 54 (2.2%) missing valuesMissing
도로명전체주소 has 140 (5.7%) missing valuesMissing
도로명우편번호 has 1366 (55.6%) missing valuesMissing
업태구분명 has 2459 (100.0%) missing valuesMissing
좌표정보(x) has 55 (2.2%) missing valuesMissing
좌표정보(y) has 55 (2.2%) missing valuesMissing
건축물동수 has 1918 (78.0%) missing valuesMissing
건축물연면적 has 1088 (44.2%) missing valuesMissing
세부업종명 has 2459 (100.0%) missing valuesMissing
법인명 has 2459 (100.0%) missing valuesMissing
Unnamed: 37 has 2459 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -35.61665532)Skewed
건축물연면적 is highly skewed (γ1 = 34.92296675)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 21:28:49.144894
Analysis finished2024-04-21 21:28:51.025013
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2459
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1230
Minimum1
Maximum2459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:28:51.223475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile123.9
Q1615.5
median1230
Q31844.5
95-th percentile2336.1
Maximum2459
Range2458
Interquartile range (IQR)1229

Descriptive statistics

Standard deviation709.99648
Coefficient of variation (CV)0.57723291
Kurtosis-1.2
Mean1230
Median Absolute Deviation (MAD)615
Skewness0
Sum3024570
Variance504095
MonotonicityStrictly increasing
2024-04-22T06:28:51.667564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1644 1
 
< 0.1%
1637 1
 
< 0.1%
1638 1
 
< 0.1%
1639 1
 
< 0.1%
1640 1
 
< 0.1%
1641 1
 
< 0.1%
1642 1
 
< 0.1%
1643 1
 
< 0.1%
1645 1
 
< 0.1%
Other values (2449) 2449
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 (%)
2459 1
< 0.1%
2458 1
< 0.1%
2457 1
< 0.1%
2456 1
< 0.1%
2455 1
< 0.1%
2454 1
< 0.1%
2453 1
< 0.1%
2452 1
< 0.1%
2451 1
< 0.1%
2450 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
당구장업
2459 

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 2459
100.0%

Length

2024-04-22T06:28:52.073418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:28:52.357478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 2459
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
10_32_01_P
2459 

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 2459
100.0%

Length

2024-04-22T06:28:52.664307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:28:52.949433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 2459
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324339.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:28:53.231919image/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 deviation39342.652
Coefficient of variation (CV)0.011834729
Kurtosis-0.7723683
Mean3324339.2
Median Absolute Deviation (MAD)30000
Skewness0.29092914
Sum8.17455 × 109
Variance1.5478442 × 109
MonotonicityNot monotonic
2024-04-22T06:28:53.618322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 336
13.7%
3310000 307
12.5%
3300000 282
11.5%
3350000 222
9.0%
3390000 196
8.0%
3340000 192
7.8%
3330000 171
7.0%
3320000 128
 
5.2%
3370000 108
 
4.4%
3280000 100
 
4.1%
Other values (6) 417
17.0%
ValueCountFrequency (%)
3250000 75
 
3.1%
3260000 62
 
2.5%
3270000 62
 
2.5%
3280000 100
 
4.1%
3290000 336
13.7%
3300000 282
11.5%
3310000 307
12.5%
3320000 128
 
5.2%
3330000 171
7.0%
3340000 192
7.8%
ValueCountFrequency (%)
3400000 98
 
4.0%
3390000 196
8.0%
3380000 78
 
3.2%
3370000 108
 
4.4%
3360000 42
 
1.7%
3350000 222
9.0%
3340000 192
7.8%
3330000 171
7.0%
3320000 128
5.2%
3310000 307
12.5%

관리번호
Text

Distinct704
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2024-04-22T06:28:54.331524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters49180
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

Unique337 ?
Unique (%)13.7%

Sample

1st rowCDFH3301081981000001
2nd rowCDFH3301082010000010
3rd rowCDFH3301082011000001
4th rowCDFH3301082011000002
5th rowCDFH3301082014000002
ValueCountFrequency (%)
cdfh3301082017000001 16
 
0.7%
cdfh3301082008000002 16
 
0.7%
cdfh3301082007000003 16
 
0.7%
cdfh3301082016000001 16
 
0.7%
cdfh3301082012000001 16
 
0.7%
cdfh3301082007000002 16
 
0.7%
cdfh3301082009000004 16
 
0.7%
cdfh3301082009000003 15
 
0.6%
cdfh3301082016000002 15
 
0.6%
cdfh3301082015000001 15
 
0.6%
Other values (694) 2302
93.6%
2024-04-22T06:28:55.412085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19721
40.1%
3 5603
 
11.4%
1 4729
 
9.6%
8 3067
 
6.2%
2 2532
 
5.1%
C 2459
 
5.0%
D 2459
 
5.0%
F 2459
 
5.0%
H 2459
 
5.0%
9 1633
 
3.3%
Other values (4) 2059
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39344
80.0%
Uppercase Letter 9836
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19721
50.1%
3 5603
 
14.2%
1 4729
 
12.0%
8 3067
 
7.8%
2 2532
 
6.4%
9 1633
 
4.2%
6 536
 
1.4%
7 535
 
1.4%
4 510
 
1.3%
5 478
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 2459
25.0%
D 2459
25.0%
F 2459
25.0%
H 2459
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39344
80.0%
Latin 9836
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19721
50.1%
3 5603
 
14.2%
1 4729
 
12.0%
8 3067
 
7.8%
2 2532
 
6.4%
9 1633
 
4.2%
6 536
 
1.4%
7 535
 
1.4%
4 510
 
1.3%
5 478
 
1.2%
Latin
ValueCountFrequency (%)
C 2459
25.0%
D 2459
25.0%
F 2459
25.0%
H 2459
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19721
40.1%
3 5603
 
11.4%
1 4729
 
9.6%
8 3067
 
6.2%
2 2532
 
5.1%
C 2459
 
5.0%
D 2459
 
5.0%
F 2459
 
5.0%
H 2459
 
5.0%
9 1633
 
3.3%
Other values (4) 2059
 
4.2%

인허가일자
Real number (ℝ)

Distinct1859
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20057663
Minimum19711022
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:28:55.841504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19711022
5-th percentile19940824
Q119991214
median20070518
Q320101065
95-th percentile20180738
Maximum20201222
Range490200
Interquartile range (IQR)109850.5

Descriptive statistics

Standard deviation77146.178
Coefficient of variation (CV)0.0038462197
Kurtosis-0.18355799
Mean20057663
Median Absolute Deviation (MAD)49789
Skewness-0.26215821
Sum4.9321792 × 1010
Variance5.9515327 × 109
MonotonicityNot monotonic
2024-04-22T06:28:56.298094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030206 63
 
2.6%
20030205 35
 
1.4%
20030204 21
 
0.9%
20030123 14
 
0.6%
20030210 12
 
0.5%
19890731 9
 
0.4%
20090609 5
 
0.2%
20030228 5
 
0.2%
20080905 4
 
0.2%
20080320 4
 
0.2%
Other values (1849) 2287
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 (%)
20201222 1
< 0.1%
20201209 2
0.1%
20201207 1
< 0.1%
20201201 1
< 0.1%
20201119 1
< 0.1%
20201117 1
< 0.1%
20201106 1
< 0.1%
20201028 1
< 0.1%
20201027 1
< 0.1%
20201025 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2459
Missing (%)100.0%
Memory size21.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
3
1400 
1
806 
4
248 
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 1400
56.9%
1 806
32.8%
4 248
 
10.1%
2 5
 
0.2%

Length

2024-04-22T06:28:56.709509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:28:57.020535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1400
56.9%
1 806
32.8%
4 248
 
10.1%
2 5
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
폐업
1400 
영업/정상
806 
취소/말소/만료/정지/중지
248 
휴업
 
5

Length

Max length14
Median length2
Mean length4.1935746
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1400
56.9%
영업/정상 806
32.8%
취소/말소/만료/정지/중지 248
 
10.1%
휴업 5
 
0.2%

Length

2024-04-22T06:28:57.386618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:28:57.707042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1400
56.9%
영업/정상 806
32.8%
취소/말소/만료/정지/중지 248
 
10.1%
휴업 5
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
03
1400 
13
805 
35
248 
02
 
5
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0008133
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
03 1400
56.9%
13 805
32.7%
35 248
 
10.1%
02 5
 
0.2%
BBBB 1
 
< 0.1%

Length

2024-04-22T06:28:58.095633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:28:58.440624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 1400
56.9%
13 805
32.7%
35 248
 
10.1%
02 5
 
0.2%
bbbb 1
 
< 0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
폐업
1400 
영업중
805 
직권말소
248 
휴업
 
5
<NA>
 
1

Length

Max length4
Median length2
Mean length2.5298902
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1400
56.9%
영업중 805
32.7%
직권말소 248
 
10.1%
휴업 5
 
0.2%
<NA> 1
 
< 0.1%

Length

2024-04-22T06:28:58.842513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:28:59.194116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1400
56.9%
영업중 805
32.7%
직권말소 248
 
10.1%
휴업 5
 
0.2%
na 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1050
Distinct (%)66.0%
Missing869
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean20106919
Minimum19941204
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:28:59.571568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941204
5-th percentile19990826
Q120060203
median20110866
Q320161213
95-th percentile20191105
Maximum20201222
Range260018
Interquartile range (IQR)101009.75

Descriptive statistics

Standard deviation63862.078
Coefficient of variation (CV)0.0031761245
Kurtosis-0.90155028
Mean20106919
Median Absolute Deviation (MAD)50652
Skewness-0.34870348
Sum3.1970001 × 1010
Variance4.078365 × 109
MonotonicityNot monotonic
2024-04-22T06:29:00.033430image/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
 
0.7%
20021212 15
 
0.6%
20121231 11
 
0.4%
Other values (1040) 1323
53.8%
(Missing) 869
35.3%
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 (%)
20201222 1
 
< 0.1%
20201218 2
 
0.1%
20201211 8
0.3%
20201130 2
 
0.1%
20201113 1
 
< 0.1%
20201110 1
 
< 0.1%
20201104 1
 
< 0.1%
20201103 1
 
< 0.1%
20201029 1
 
< 0.1%
20201022 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2454 
20091112
 
1
20201215
 
1
20091102
 
1
20170101
 
1

Length

Max length8
Median length4
Mean length4.0081334
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> 2454
99.8%
20091112 1
 
< 0.1%
20201215 1
 
< 0.1%
20091102 1
 
< 0.1%
20170101 1
 
< 0.1%
20201221 1
 
< 0.1%

Length

2024-04-22T06:29:00.484025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:00.830041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2454
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 size19.3 KiB
<NA>
2454 
20100530
 
1
20210630
 
1
20100630
 
1
20171231
 
1

Length

Max length8
Median length4
Mean length4.0081334
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> 2454
99.8%
20100530 1
 
< 0.1%
20210630 1
 
< 0.1%
20100630 1
 
< 0.1%
20171231 1
 
< 0.1%
20210620 1
 
< 0.1%

Length

2024-04-22T06:29:01.226713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:01.573073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2454
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 

Missing2459
Missing (%)100.0%
Memory size21.7 KiB

소재지전화
Text

MISSING 

Distinct1492
Distinct (%)97.0%
Missing921
Missing (%)37.5%
Memory size19.3 KiB
2024-04-22T06:29:02.665672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.1957087
Min length5

Characters and Unicode

Total characters14143
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%
2024-04-22T06:29:03.918653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1884
13.3%
5 1725
12.2%
0 1550
11.0%
1 1417
10.0%
2 1403
9.9%
3 1163
8.2%
6 1123
7.9%
4 1011
7.1%
8 1005
7.1%
7 995
7.0%
Other values (6) 867
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12226
86.4%
Dash Punctuation 1884
 
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 1725
14.1%
0 1550
12.7%
1 1417
11.6%
2 1403
11.5%
3 1163
9.5%
6 1123
9.2%
4 1011
8.3%
8 1005
8.2%
7 995
8.1%
9 834
6.8%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1884
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 14143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1884
13.3%
5 1725
12.2%
0 1550
11.0%
1 1417
10.0%
2 1403
9.9%
3 1163
8.2%
6 1123
7.9%
4 1011
7.1%
8 1005
7.1%
7 995
7.0%
Other values (6) 867
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1884
13.3%
5 1725
12.2%
0 1550
11.0%
1 1417
10.0%
2 1403
9.9%
3 1163
8.2%
6 1123
7.9%
4 1011
7.1%
8 1005
7.1%
7 995
7.0%
Other values (6) 867
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2459
Missing (%)100.0%
Memory size21.7 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct520
Distinct (%)27.6%
Missing575
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean610352.78
Minimum48738
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:04.164869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation13826.799
Coefficient of variation (CV)0.022653782
Kurtosis1447.1409
Mean610352.78
Median Absolute Deviation (MAD)3033
Skewness-35.616655
Sum1.1499046 × 109
Variance1.9118037 × 108
MonotonicityNot monotonic
2024-04-22T06:29:04.408602image/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
 
0.9%
607804 20
 
0.8%
614846 19
 
0.8%
608804 19
 
0.8%
614845 16
 
0.7%
607833 15
 
0.6%
Other values (510) 1654
67.3%
(Missing) 575
 
23.4%
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 

Distinct2226
Distinct (%)92.6%
Missing54
Missing (%)2.2%
Memory size19.3 KiB
2024-04-22T06:29:05.429566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length41
Mean length23.382121
Min length13

Characters and Unicode

Total characters56234
Distinct characters290
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

Unique2066 ?
Unique (%)85.9%

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 2405
 
22.2%
부산진구 336
 
3.1%
남구 305
 
2.8%
동래구 282
 
2.6%
3층 226
 
2.1%
금정구 222
 
2.0%
사상구 192
 
1.8%
2층 180
 
1.7%
사하구 173
 
1.6%
해운대구 168
 
1.5%
Other values (2495) 6365
58.6%
2024-04-22T06:29:06.699469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8450
 
15.0%
부 2951
 
5.2%
산 2871
 
5.1%
동 2767
 
4.9%
광 2445
 
4.3%
시 2418
 
4.3%
1 2409
 
4.3%
역 2406
 
4.3%
구 2384
 
4.2%
지 2339
 
4.2%
Other values (280) 24794
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33465
59.5%
Decimal Number 11870
 
21.1%
Space Separator 8450
 
15.0%
Dash Punctuation 2262
 
4.0%
Open Punctuation 63
 
0.1%
Close 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 2951
 
8.8%
산 2871
 
8.6%
동 2767
 
8.3%
광 2445
 
7.3%
시 2418
 
7.2%
역 2406
 
7.2%
구 2384
 
7.1%
지 2339
 
7.0%
번 2232
 
6.7%
층 720
 
2.2%
Other values (251) 9932
29.7%
Decimal Number
ValueCountFrequency (%)
1 2409
20.3%
2 1702
14.3%
3 1499
12.6%
4 1238
10.4%
5 1092
9.2%
6 872
 
7.3%
0 817
 
6.9%
7 816
 
6.9%
8 760
 
6.4%
9 665
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
40.0%
A 4
20.0%
F 2
 
10.0%
C 2
 
10.0%
S 1
 
5.0%
T 1
 
5.0%
N 1
 
5.0%
O 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 32
86.5%
. 2
 
5.4%
· 1
 
2.7%
& 1
 
2.7%
/ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
8450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2262
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33465
59.5%
Common 22748
40.5%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2951
 
8.8%
산 2871
 
8.6%
동 2767
 
8.3%
광 2445
 
7.3%
시 2418
 
7.2%
역 2406
 
7.2%
구 2384
 
7.1%
지 2339
 
7.0%
번 2232
 
6.7%
층 720
 
2.2%
Other values (251) 9932
29.7%
Common
ValueCountFrequency (%)
8450
37.1%
1 2409
 
10.6%
- 2262
 
9.9%
2 1702
 
7.5%
3 1499
 
6.6%
4 1238
 
5.4%
5 1092
 
4.8%
6 872
 
3.8%
0 817
 
3.6%
7 816
 
3.6%
Other values (10) 1591
 
7.0%
Latin
ValueCountFrequency (%)
B 8
38.1%
A 4
19.0%
F 2
 
9.5%
C 2
 
9.5%
S 1
 
4.8%
Ⅱ 1
 
4.8%
T 1
 
4.8%
N 1
 
4.8%
O 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33465
59.5%
ASCII 22767
40.5%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8450
37.1%
1 2409
 
10.6%
- 2262
 
9.9%
2 1702
 
7.5%
3 1499
 
6.6%
4 1238
 
5.4%
5 1092
 
4.8%
6 872
 
3.8%
0 817
 
3.6%
7 816
 
3.6%
Other values (17) 1610
 
7.1%
Hangul
ValueCountFrequency (%)
부 2951
 
8.8%
산 2871
 
8.6%
동 2767
 
8.3%
광 2445
 
7.3%
시 2418
 
7.2%
역 2406
 
7.2%
구 2384
 
7.1%
지 2339
 
7.0%
번 2232
 
6.7%
층 720
 
2.2%
Other values (251) 9932
29.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2236
Distinct (%)96.4%
Missing140
Missing (%)5.7%
Memory size19.3 KiB
2024-04-22T06:29:07.918471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length46
Mean length28.13411
Min length17

Characters and Unicode

Total characters65243
Distinct characters367
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

Unique2159 ?
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 2319
 
18.3%
부산진구 325
 
2.6%
남구 281
 
2.2%
동래구 268
 
2.1%
금정구 215
 
1.7%
사하구 184
 
1.5%
사상구 182
 
1.4%
3층 178
 
1.4%
해운대구 164
 
1.3%
2층 162
 
1.3%
Other values (2165) 8373
66.2%
2024-04-22T06:29:09.422445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11349
 
17.4%
동 2921
 
4.5%
부 2878
 
4.4%
산 2827
 
4.3%
광 2419
 
3.7%
시 2415
 
3.7%
구 2367
 
3.6%
역 2320
 
3.6%
( 2307
 
3.5%
) 2307
 
3.5%
Other values (357) 31133
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38348
58.8%
Space Separator 11349
 
17.4%
Decimal Number 9323
 
14.3%
Open Punctuation 2307
 
3.5%
Close Punctuation 2307
 
3.5%
Other Punctuation 1261
 
1.9%
Dash Punctuation 318
 
0.5%
Uppercase Letter 25
 
< 0.1%
Math Symbol 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2921
 
7.6%
부 2878
 
7.5%
산 2827
 
7.4%
광 2419
 
6.3%
시 2415
 
6.3%
구 2367
 
6.2%
역 2320
 
6.0%
로 2280
 
5.9%
층 937
 
2.4%
대 930
 
2.4%
Other values (327) 16054
41.9%
Decimal Number
ValueCountFrequency (%)
1 1879
20.2%
2 1495
16.0%
3 1178
12.6%
4 865
9.3%
5 818
8.8%
6 728
 
7.8%
0 625
 
6.7%
8 588
 
6.3%
7 577
 
6.2%
9 570
 
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%
T 1
 
4.0%
K 1
 
4.0%
O 1
 
4.0%
M 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1256
99.6%
. 2
 
0.2%
· 1
 
0.1%
/ 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11349
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 318
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38348
58.8%
Common 26869
41.2%
Latin 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2921
 
7.6%
부 2878
 
7.5%
산 2827
 
7.4%
광 2419
 
6.3%
시 2415
 
6.3%
구 2367
 
6.2%
역 2320
 
6.0%
로 2280
 
5.9%
층 937
 
2.4%
대 930
 
2.4%
Other values (327) 16054
41.9%
Common
ValueCountFrequency (%)
11349
42.2%
( 2307
 
8.6%
) 2307
 
8.6%
1 1879
 
7.0%
2 1495
 
5.6%
, 1256
 
4.7%
3 1178
 
4.4%
4 865
 
3.2%
5 818
 
3.0%
6 728
 
2.7%
Other values (10) 2687
 
10.0%
Latin
ValueCountFrequency (%)
B 11
42.3%
A 5
19.2%
F 2
 
7.7%
C 2
 
7.7%
S 1
 
3.8%
Ⅱ 1
 
3.8%
T 1
 
3.8%
K 1
 
3.8%
O 1
 
3.8%
M 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38348
58.8%
ASCII 26893
41.2%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11349
42.2%
( 2307
 
8.6%
) 2307
 
8.6%
1 1879
 
7.0%
2 1495
 
5.6%
, 1256
 
4.7%
3 1178
 
4.4%
4 865
 
3.2%
5 818
 
3.0%
6 728
 
2.7%
Other values (18) 2711
 
10.1%
Hangul
ValueCountFrequency (%)
동 2921
 
7.6%
부 2878
 
7.5%
산 2827
 
7.4%
광 2419
 
6.3%
시 2415
 
6.3%
구 2367
 
6.2%
역 2320
 
6.0%
로 2280
 
5.9%
층 937
 
2.4%
대 930
 
2.4%
Other values (327) 16054
41.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct621
Distinct (%)56.8%
Missing1366
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean118698.79
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:09.660779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46210.6
Q147115
median47787
Q348982
95-th percentile610628.8
Maximum619963
Range573961
Interquartile range (IQR)1867

Descriptive statistics

Standard deviation186917.33
Coefficient of variation (CV)1.5747198
Kurtosis3.0876027
Mean118698.79
Median Absolute Deviation (MAD)951
Skewness2.2540273
Sum1.2973777 × 108
Variance3.4938087 × 1010
MonotonicityNot monotonic
2024-04-22T06:29:09.898626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48498 10
 
0.4%
48106 10
 
0.4%
46726 10
 
0.4%
47229 10
 
0.4%
48512 9
 
0.4%
47520 8
 
0.3%
46056 8
 
0.3%
47288 8
 
0.3%
608810 7
 
0.3%
47736 7
 
0.3%
Other values (611) 1006
40.9%
(Missing) 1366
55.6%
ValueCountFrequency (%)
46002 1
 
< 0.1%
46008 2
 
0.1%
46012 1
 
< 0.1%
46015 5
0.2%
46017 1
 
< 0.1%
46022 1
 
< 0.1%
46023 5
0.2%
46034 1
 
< 0.1%
46044 2
 
0.1%
46055 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

Distinct1592
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2024-04-22T06:29:10.796114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length5.8076454
Min length1

Characters and Unicode

Total characters14281
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

Unique1228 ?
Unique (%)49.9%

Sample

1st row미강 당구클럽
2nd row롯데당구장
3rd row스타당구클럽
4th row왕당구장
5th row동명당구장
ValueCountFrequency (%)
당구장 219
 
7.3%
당구클럽 218
 
7.3%
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%
에이스 12
 
0.4%
Other values (1556) 2416
81.0%
2024-04-22T06:29:11.900547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 2332
16.3%
구 2327
16.3%
장 1525
 
10.7%
럽 767
 
5.4%
클 765
 
5.4%
525
 
3.7%
스 268
 
1.9%
이 159
 
1.1%
리 140
 
1.0%
드 100
 
0.7%
Other values (550) 5373
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12876
90.2%
Uppercase Letter 544
 
3.8%
Space Separator 525
 
3.7%
Decimal Number 167
 
1.2%
Lowercase Letter 100
 
0.7%
Other Punctuation 34
 
0.2%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Dash Punctuation 4
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 2332
18.1%
구 2327
18.1%
장 1525
 
11.8%
럽 767
 
6.0%
클 765
 
5.9%
스 268
 
2.1%
이 159
 
1.2%
리 140
 
1.1%
드 100
 
0.8%
아 92
 
0.7%
Other values (482) 4401
34.2%
Uppercase Letter
ValueCountFrequency (%)
K 49
 
9.0%
I 43
 
7.9%
P 42
 
7.7%
B 41
 
7.5%
C 39
 
7.2%
O 35
 
6.4%
J 33
 
6.1%
S 31
 
5.7%
V 28
 
5.1%
M 27
 
5.0%
Other values (16) 176
32.4%
Lowercase Letter
ValueCountFrequency (%)
o 11
11.0%
i 11
11.0%
e 11
11.0%
l 11
11.0%
n 9
 
9.0%
s 6
 
6.0%
k 5
 
5.0%
r 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%
4 9
 
5.4%
3 9
 
5.4%
7 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 (%)
525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12875
90.2%
Common 759
 
5.3%
Latin 646
 
4.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 2332
18.1%
구 2327
18.1%
장 1525
 
11.8%
럽 767
 
6.0%
클 765
 
5.9%
스 268
 
2.1%
이 159
 
1.2%
리 140
 
1.1%
드 100
 
0.8%
아 92
 
0.7%
Other values (481) 4400
34.2%
Latin
ValueCountFrequency (%)
K 49
 
7.6%
I 43
 
6.7%
P 42
 
6.5%
B 41
 
6.3%
C 39
 
6.0%
O 35
 
5.4%
J 33
 
5.1%
S 31
 
4.8%
V 28
 
4.3%
M 27
 
4.2%
Other values (38) 278
43.0%
Common
ValueCountFrequency (%)
525
69.2%
2 56
 
7.4%
0 49
 
6.5%
. 21
 
2.8%
) 14
 
1.8%
( 14
 
1.8%
1 13
 
1.7%
5 11
 
1.4%
& 10
 
1.3%
4 9
 
1.2%
Other values (10) 37
 
4.9%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12875
90.2%
ASCII 1401
 
9.8%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 2332
18.1%
구 2327
18.1%
장 1525
 
11.8%
럽 767
 
6.0%
클 765
 
5.9%
스 268
 
2.1%
이 159
 
1.2%
리 140
 
1.1%
드 100
 
0.8%
아 92
 
0.7%
Other values (481) 4400
34.2%
ASCII
ValueCountFrequency (%)
525
37.5%
2 56
 
4.0%
0 49
 
3.5%
K 49
 
3.5%
I 43
 
3.1%
P 42
 
3.0%
B 41
 
2.9%
C 39
 
2.8%
O 35
 
2.5%
J 33
 
2.4%
Other values (54) 489
34.9%
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)

Distinct2409
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0134382 × 1013
Minimum2.0021018 × 1013
Maximum2.0201222 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:12.147953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.003013 × 1013
Q12.0095672 × 1013
median2.0141114 × 1013
Q32.0181204 × 1013
95-th percentile2.0200918 × 1013
Maximum2.0201222 × 1013
Range1.8020405 × 1011
Interquartile range (IQR)8.5532499 × 1010

Descriptive statistics

Standard deviation5.6381065 × 1010
Coefficient of variation (CV)0.0028002381
Kurtosis-0.9587199
Mean2.0134382 × 1013
Median Absolute Deviation (MAD)4.0698999 × 1010
Skewness-0.55386661
Sum4.9510446 × 1016
Variance3.1788245 × 1021
MonotonicityNot monotonic
2024-04-22T06:29:12.711864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 51
 
2.1%
20110405171113 1
 
< 0.1%
20160304135234 1
 
< 0.1%
20110314170632 1
 
< 0.1%
20111212170210 1
 
< 0.1%
20190308093615 1
 
< 0.1%
20170209184907 1
 
< 0.1%
20160106112044 1
 
< 0.1%
20190529175656 1
 
< 0.1%
20200129154624 1
 
< 0.1%
Other values (2399) 2399
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 (%)
20201222184855 1
< 0.1%
20201222114926 1
< 0.1%
20201222092638 1
< 0.1%
20201222082958 1
< 0.1%
20201221180522 1
< 0.1%
20201221115708 1
< 0.1%
20201217160145 1
< 0.1%
20201216125443 1
< 0.1%
20201216094637 1
< 0.1%
20201216094418 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
I
1853 
U
606 

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 1853
75.4%
U 606
 
24.6%

Length

2024-04-22T06:29:12.990199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:13.150763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1853
75.4%
u 606
 
24.6%

데이터갱신일자
Date

Distinct375
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-24 02:40:00
2024-04-22T06:29:13.332275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:29:13.588337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2459
Missing (%)100.0%
Memory size21.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1989
Distinct (%)82.7%
Missing55
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean387996.49
Minimum366797.99
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:13.843980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366797.99
5-th percentile379491.61
Q1384367.27
median388480.83
Q3391242.04
95-th percentile398087.27
Maximum407507.94
Range40709.949
Interquartile range (IQR)6874.7729

Descriptive statistics

Standard deviation5437.1495
Coefficient of variation (CV)0.014013399
Kurtosis0.83444811
Mean387996.49
Median Absolute Deviation (MAD)3014.2397
Skewness0.056204809
Sum9.3274357 × 108
Variance29562595
MonotonicityNot monotonic
2024-04-22T06:29:14.106669image/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%
380540.836768886 4
 
0.2%
390505.101306856 4
 
0.2%
388908.604289166 4
 
0.2%
393233.931123062 4
 
0.2%
401116.4692181 4
 
0.2%
389876.346091676 3
 
0.1%
391627.440489642 3
 
0.1%
Other values (1979) 2363
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%
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%
401955.569201149 2
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1990
Distinct (%)82.8%
Missing55
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean187042.17
Minimum173942.79
Maximum206087.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:14.365735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173942.79
5-th percentile178350.25
Q1183135.28
median186781.19
Q3191289.35
95-th percentile196027.47
Maximum206087.66
Range32144.873
Interquartile range (IQR)8154.0707

Descriptive statistics

Standard deviation5690.2821
Coefficient of variation (CV)0.030422455
Kurtosis-0.18109329
Mean187042.17
Median Absolute Deviation (MAD)4234.6434
Skewness0.20727929
Sum4.4964938 × 108
Variance32379311
MonotonicityNot monotonic
2024-04-22T06:29:14.612768image/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%
195938.291528197 4
 
0.2%
190012.553039064 4
 
0.2%
195846.489057903 4
 
0.2%
195465.104335761 4
 
0.2%
175274.144961403 4
 
0.2%
183844.330406648 3
 
0.1%
191361.791866976 3
 
0.1%
192684.487637586 3
 
0.1%
Other values (1980) 2364
96.1%
(Missing) 55
 
2.2%
ValueCountFrequency (%)
173942.787360397 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%
174889.819864154 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 size19.3 KiB
당구장업
2459 

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 2459
100.0%

Length

2024-04-22T06:29:14.841336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:14.997069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 2459
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
사립
2457 
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 2457
99.9%
공립 2
 
0.1%

Length

2024-04-22T06:29:15.157016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:15.318357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 2457
99.9%
공립 2
 
0.1%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
1747 
0
709 
Y
 
3

Length

Max length4
Median length4
Mean length3.1313542
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> 1747
71.0%
0 709
28.8%
Y 3
 
0.1%

Length

2024-04-22T06:29:15.501612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:15.684641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1747
71.0%
0 709
28.8%
y 3
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2406 
0
 
52
1
 
1

Length

Max length4
Median length4
Mean length3.9353396
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> 2406
97.8%
0 52
 
2.1%
1 1
 
< 0.1%

Length

2024-04-22T06:29:15.870472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:16.043440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2406
97.8%
0 52
 
2.1%
1 1
 
< 0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.1%
Missing1918
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean0.82994455
Minimum0
Maximum7
Zeros115
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:16.193515image/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 deviation0.55168915
Coefficient of variation (CV)0.66473014
Kurtosis31.078562
Mean0.82994455
Median Absolute Deviation (MAD)0
Skewness2.7287513
Sum449
Variance0.30436092
MonotonicityNot monotonic
2024-04-22T06:29:16.383320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 413
 
16.8%
0 115
 
4.7%
2 8
 
0.3%
3 3
 
0.1%
7 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 1918
78.0%
ValueCountFrequency (%)
0 115
 
4.7%
1 413
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%
1 413
16.8%
0 115
 
4.7%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1020
Distinct (%)74.4%
Missing1088
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean2352.1378
Minimum0
Maximum1415109
Zeros115
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2024-04-22T06:29:16.615289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1131.025
median215.42
Q3970.37
95-th percentile3554.18
Maximum1415109
Range1415109
Interquartile range (IQR)839.345

Descriptive statistics

Standard deviation39000.185
Coefficient of variation (CV)16.58074
Kurtosis1260.2566
Mean2352.1378
Median Absolute Deviation (MAD)215.32
Skewness34.922967
Sum3224780.9
Variance1.5210144 × 109
MonotonicityNot monotonic
2024-04-22T06:29:17.008160image/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 (1010) 1092
44.4%
(Missing) 1088
44.2%
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%
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%
31854.3 1
< 0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2456 
0
 
1
30
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9971533
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> 2456
99.9%
0 1
 
< 0.1%
30 1
 
< 0.1%
50 1
 
< 0.1%

Length

2024-04-22T06:29:17.449726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:29:17.770373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2456
99.9%
0 1
 
< 0.1%
30 1
 
< 0.1%
50 1
 
< 0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2459
Missing (%)100.0%
Memory size21.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2459
Missing (%)100.0%
Memory size21.7 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2459
Missing (%)100.0%
Memory size21.7 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_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>
78당구장업10_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>
89당구장업10_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>
910당구장업10_32_01_P3250000CDFH330108198600000219860620<NA>3폐업03폐업20040108<NA><NA><NA>051-246-2280<NA>600807부산광역시 중구 부평동2가 36-6번지부산광역시 중구 광복로12번길 10-1 (부평동2가)<NA>길목 당구장20040308094458I2018-08-31 23:59:59.0<NA>384682.775273179610.676842당구장업사립0<NA><NA>127.0<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
24492450당구장업10_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>
24502451당구장업10_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>
24512452당구장업10_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>
24522453당구장업10_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>
24532454당구장업10_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>
24542455당구장업10_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>
24552456당구장업10_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>
24562457당구장업10_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>
24572458당구장업10_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>
24582459당구장업10_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>