Overview

Dataset statistics

Number of variables65
Number of observations256
Missing cells7907
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.4 KiB
Average record size in memory565.5 B

Variable types

Numeric19
Categorical16
Text8
Unsupported21
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123064

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.3%)Imbalance
보험시작일자 is highly imbalanced (95.3%)Imbalance
보험종료일자 is highly imbalanced (95.3%)Imbalance
폐업일자 has 197 (77.0%) missing valuesMissing
휴업시작일자 has 249 (97.3%) missing valuesMissing
휴업종료일자 has 249 (97.3%) missing valuesMissing
재개업일자 has 256 (100.0%) missing valuesMissing
소재지전화 has 84 (32.8%) missing valuesMissing
소재지면적 has 256 (100.0%) missing valuesMissing
소재지우편번호 has 166 (64.8%) missing valuesMissing
도로명우편번호 has 39 (15.2%) missing valuesMissing
업태구분명 has 256 (100.0%) missing valuesMissing
좌표정보(x) has 4 (1.6%) missing valuesMissing
좌표정보(y) has 4 (1.6%) missing valuesMissing
총층수 has 97 (37.9%) missing valuesMissing
제작취급품목내용 has 256 (100.0%) missing valuesMissing
보험기관명 has 230 (89.8%) missing valuesMissing
지상층수 has 100 (39.1%) missing valuesMissing
지하층수 has 133 (52.0%) missing valuesMissing
객실수 has 56 (21.9%) missing valuesMissing
건축연면적 has 172 (67.2%) missing valuesMissing
영문상호명 has 223 (87.1%) missing valuesMissing
영문상호주소 has 225 (87.9%) missing valuesMissing
선박총톤수 has 256 (100.0%) missing valuesMissing
선박척수 has 256 (100.0%) missing valuesMissing
선박제원 has 256 (100.0%) missing valuesMissing
무대면적 has 256 (100.0%) missing valuesMissing
좌석수 has 256 (100.0%) missing valuesMissing
기념품종류 has 256 (100.0%) missing valuesMissing
회의실별동시수용인원 has 256 (100.0%) missing valuesMissing
시설면적 has 68 (26.6%) missing valuesMissing
놀이기구수내역 has 256 (100.0%) missing valuesMissing
놀이시설수 has 256 (100.0%) missing valuesMissing
방송시설유무 has 256 (100.0%) missing valuesMissing
발전시설유무 has 256 (100.0%) missing valuesMissing
의무실유무 has 256 (100.0%) missing valuesMissing
안내소유무 has 256 (100.0%) missing valuesMissing
기획여행보험시작일자 has 256 (100.0%) missing valuesMissing
기획여행보험종료일자 has 256 (100.0%) missing valuesMissing
자본금 has 165 (64.5%) missing valuesMissing
부대시설내역 has 256 (100.0%) missing valuesMissing
시설규모 has 68 (26.6%) missing valuesMissing
Unnamed: 64 has 256 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 64 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 has 7 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-21 20:09:22.681946
Analysis finished2024-04-21 20:09:24.070497
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5
Minimum1
Maximum256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:24.268140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.75
Q164.75
median128.5
Q3192.25
95-th percentile243.25
Maximum256
Range255
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation74.045031
Coefficient of variation (CV)0.57622592
Kurtosis-1.2
Mean128.5
Median Absolute Deviation (MAD)64
Skewness0
Sum32896
Variance5482.6667
MonotonicityStrictly increasing
2024-04-22T05:09:24.714179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
130 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
Other values (246) 246
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광숙박업
256 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 256
100.0%

Length

2024-04-22T05:09:25.120354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:25.416463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 256
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
03_11_01_P
256 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_01_P
2nd row03_11_01_P
3rd row03_11_01_P
4th row03_11_01_P
5th row03_11_01_P

Common Values

ValueCountFrequency (%)
03_11_01_P 256
100.0%

Length

2024-04-22T05:09:25.723076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:26.013958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_01_p 256
100.0%

개방자치단체코드
Real number (ℝ)

Distinct15
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333867.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:26.299380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13300000
median3330000
Q33380000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation44088.658
Coefficient of variation (CV)0.013224479
Kurtosis-0.92378951
Mean3333867.2
Median Absolute Deviation (MAD)40000
Skewness-0.37589169
Sum8.5347 × 108
Variance1.9438097 × 109
MonotonicityNot monotonic
2024-04-22T05:09:26.564242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3330000 80
31.2%
3380000 72
28.1%
3290000 19
 
7.4%
3250000 18
 
7.0%
3270000 15
 
5.9%
3400000 10
 
3.9%
3370000 8
 
3.1%
3300000 7
 
2.7%
3340000 6
 
2.3%
3260000 6
 
2.3%
Other values (5) 15
 
5.9%
ValueCountFrequency (%)
3250000 18
 
7.0%
3260000 6
 
2.3%
3270000 15
 
5.9%
3280000 2
 
0.8%
3290000 19
 
7.4%
3300000 7
 
2.7%
3310000 4
 
1.6%
3320000 4
 
1.6%
3330000 80
31.2%
3340000 6
 
2.3%
ValueCountFrequency (%)
3400000 10
 
3.9%
3390000 4
 
1.6%
3380000 72
28.1%
3370000 8
 
3.1%
3350000 1
 
0.4%
3340000 6
 
2.3%
3330000 80
31.2%
3320000 4
 
1.6%
3310000 4
 
1.6%
3300000 7
 
2.7%
Distinct126
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T05:09:27.278210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5120
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

Unique58 ?
Unique (%)22.7%

Sample

1st rowCDFI2260032015000004
2nd rowCDFI2260031987000001
3rd rowCDFI2260032014000004
4th rowCDFI2260032014000002
5th rowCDFI2260032017000007
ValueCountFrequency (%)
cdfi2260032017000001 9
 
3.5%
cdfi2260032020000001 8
 
3.1%
cdfi2260032016000001 7
 
2.7%
cdfi2260032018000001 6
 
2.3%
cdfi2260032017000002 5
 
2.0%
cdfi2260032014000001 5
 
2.0%
cdfi2260031987000001 5
 
2.0%
cdfi2260032016000002 5
 
2.0%
cdfi2260032019000001 5
 
2.0%
cdfi2260032015000001 5
 
2.0%
Other values (116) 196
76.6%
2024-04-22T05:09:28.208495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2057
40.2%
2 814
 
15.9%
1 335
 
6.5%
6 300
 
5.9%
3 286
 
5.6%
C 256
 
5.0%
D 256
 
5.0%
F 256
 
5.0%
I 256
 
5.0%
9 91
 
1.8%
Other values (4) 213
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4096
80.0%
Uppercase Letter 1024
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2057
50.2%
2 814
 
19.9%
1 335
 
8.2%
6 300
 
7.3%
3 286
 
7.0%
9 91
 
2.2%
7 70
 
1.7%
8 59
 
1.4%
5 44
 
1.1%
4 40
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 256
25.0%
D 256
25.0%
F 256
25.0%
I 256
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4096
80.0%
Latin 1024
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2057
50.2%
2 814
 
19.9%
1 335
 
8.2%
6 300
 
7.3%
3 286
 
7.0%
9 91
 
2.2%
7 70
 
1.7%
8 59
 
1.4%
5 44
 
1.1%
4 40
 
1.0%
Latin
ValueCountFrequency (%)
C 256
25.0%
D 256
25.0%
F 256
25.0%
I 256
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2057
40.2%
2 814
 
15.9%
1 335
 
6.5%
6 300
 
5.9%
3 286
 
5.6%
C 256
 
5.0%
D 256
 
5.0%
F 256
 
5.0%
I 256
 
5.0%
9 91
 
1.8%
Other values (4) 213
 
4.2%

인허가일자
Real number (ℝ)

Distinct245
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20106406
Minimum19630422
Maximum20210426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:28.456745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19630422
5-th percentile19856038
Q120071038
median20160653
Q320180510
95-th percentile20200847
Maximum20210426
Range580004
Interquartile range (IQR)109471.5

Descriptive statistics

Standard deviation119499.22
Coefficient of variation (CV)0.0059433405
Kurtosis2.0396927
Mean20106406
Median Absolute Deviation (MAD)29516.5
Skewness-1.6908264
Sum5.14724 × 109
Variance1.4280063 × 1010
MonotonicityNot monotonic
2024-04-22T05:09:28.868248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200928 2
 
0.8%
20161125 2
 
0.8%
20160104 2
 
0.8%
20201015 2
 
0.8%
20181109 2
 
0.8%
20170616 2
 
0.8%
20090619 2
 
0.8%
20171220 2
 
0.8%
20171016 2
 
0.8%
20161230 2
 
0.8%
Other values (235) 236
92.2%
ValueCountFrequency (%)
19630422 1
0.4%
19720101 1
0.4%
19740613 1
0.4%
19740907 1
0.4%
19750819 1
0.4%
19761204 1
0.4%
19770425 1
0.4%
19780425 1
0.4%
19780515 1
0.4%
19811121 1
0.4%
ValueCountFrequency (%)
20210426 1
0.4%
20210423 1
0.4%
20210419 1
0.4%
20210208 1
0.4%
20210205 1
0.4%
20201105 1
0.4%
20201015 2
0.8%
20201006 1
0.4%
20200928 2
0.8%
20200922 1
0.4%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
254 
20180827
 
1
20190220
 
1

Length

Max length8
Median length4
Mean length4.03125
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row20180827
2nd row20190220
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 254
99.2%
20180827 1
 
0.4%
20190220 1
 
0.4%

Length

2024-04-22T05:09:29.314319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:29.650620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 254
99.2%
20180827 1
 
0.4%
20190220 1
 
0.4%
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
187 
3
60 
2
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 187
73.0%
3 60
 
23.4%
2 7
 
2.7%
4 2
 
0.8%

Length

2024-04-22T05:09:29.983875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:30.299835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 187
73.0%
3 60
 
23.4%
2 7
 
2.7%
4 2
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
187 
폐업
60 
휴업
 
7
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.2851562
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 187
73.0%
폐업 60
 
23.4%
휴업 7
 
2.7%
취소/말소/만료/정지/중지 2
 
0.8%

Length

2024-04-22T05:09:30.674557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:31.007007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 187
73.0%
폐업 60
 
23.4%
휴업 7
 
2.7%
취소/말소/만료/정지/중지 2
 
0.8%
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
187 
3
60 
2
 
7
31
 
2

Length

Max length2
Median length2
Mean length1.7382812
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 187
73.0%
3 60
 
23.4%
2 7
 
2.7%
31 2
 
0.8%

Length

2024-04-22T05:09:31.378624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:31.704743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 187
73.0%
3 60
 
23.4%
2 7
 
2.7%
31 2
 
0.8%
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
187 
폐업
60 
휴업
 
7
등록취소
 
2

Length

Max length4
Median length3
Mean length2.7460938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 187
73.0%
폐업 60
 
23.4%
휴업 7
 
2.7%
등록취소 2
 
0.8%

Length

2024-04-22T05:09:32.095885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:32.445664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 187
73.0%
폐업 60
 
23.4%
휴업 7
 
2.7%
등록취소 2
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing197
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean20150520
Minimum20050620
Maximum20210326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:32.803267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050620
5-th percentile20059614
Q120120674
median20170517
Q320190372
95-th percentile20200496
Maximum20210326
Range159706
Interquartile range (IQR)69697.5

Descriptive statistics

Standard deviation49559.257
Coefficient of variation (CV)0.002459453
Kurtosis-0.5519201
Mean20150520
Median Absolute Deviation (MAD)20212
Skewness-0.94541442
Sum1.1888807 × 109
Variance2.45612 × 109
MonotonicityNot monotonic
2024-04-22T05:09:33.258840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200323 1
 
0.4%
20050727 1
 
0.4%
20180410 1
 
0.4%
20161231 1
 
0.4%
20100108 1
 
0.4%
20200414 1
 
0.4%
20191219 1
 
0.4%
20170102 1
 
0.4%
20170517 1
 
0.4%
20181123 1
 
0.4%
Other values (49) 49
 
19.1%
(Missing) 197
77.0%
ValueCountFrequency (%)
20050620 1
0.4%
20050711 1
0.4%
20050727 1
0.4%
20060602 1
0.4%
20060628 1
0.4%
20060927 1
0.4%
20060928 1
0.4%
20061020 1
0.4%
20070126 1
0.4%
20080324 1
0.4%
ValueCountFrequency (%)
20210326 1
0.4%
20210217 1
0.4%
20201231 1
0.4%
20200414 1
0.4%
20200323 1
0.4%
20191231 1
0.4%
20191219 1
0.4%
20191029 1
0.4%
20191017 1
0.4%
20190917 1
0.4%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing249
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean20143540
Minimum20060406
Maximum20210401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:33.622184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060406
5-th percentile20060593
Q120061030
median20200901
Q320205506
95-th percentile20210311
Maximum20210401
Range149995
Interquartile range (IQR)144475

Descriptive statistics

Standard deviation77469.627
Coefficient of variation (CV)0.0038458795
Kurtosis-2.7863311
Mean20143540
Median Absolute Deviation (MAD)9500
Skewness-0.36467071
Sum1.4100478 × 108
Variance6.0015431 × 109
MonotonicityNot monotonic
2024-04-22T05:09:33.972579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20061031 1
 
0.4%
20060406 1
 
0.4%
20061030 1
 
0.4%
20200901 1
 
0.4%
20200910 1
 
0.4%
20210401 1
 
0.4%
20210101 1
 
0.4%
(Missing) 249
97.3%
ValueCountFrequency (%)
20060406 1
0.4%
20061030 1
0.4%
20061031 1
0.4%
20200901 1
0.4%
20200910 1
0.4%
20210101 1
0.4%
20210401 1
0.4%
ValueCountFrequency (%)
20210401 1
0.4%
20210101 1
0.4%
20200910 1
0.4%
20200901 1
0.4%
20061031 1
0.4%
20061030 1
0.4%
20060406 1
0.4%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing249
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean20149513
Minimum20061005
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:34.306512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061005
5-th percentile20064012
Q120071030
median20210531
Q320210880
95-th percentile20211141
Maximum20211231
Range150226
Interquartile range (IQR)139850.5

Descriptive statistics

Standard deviation76612.751
Coefficient of variation (CV)0.0038022136
Kurtosis-2.7723627
Mean20149513
Median Absolute Deviation (MAD)700
Skewness-0.38172083
Sum1.4104659 × 108
Variance5.8695136 × 109
MonotonicityNot monotonic
2024-04-22T05:09:34.654009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20071030 2
 
0.8%
20061005 1
 
0.4%
20210831 1
 
0.4%
20210930 1
 
0.4%
20210531 1
 
0.4%
20211231 1
 
0.4%
(Missing) 249
97.3%
ValueCountFrequency (%)
20061005 1
0.4%
20071030 2
0.8%
20210531 1
0.4%
20210831 1
0.4%
20210930 1
0.4%
20211231 1
0.4%
ValueCountFrequency (%)
20211231 1
0.4%
20210930 1
0.4%
20210831 1
0.4%
20210531 1
0.4%
20071030 2
0.8%
20061005 1
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

소재지전화
Text

MISSING 

Distinct172
Distinct (%)100.0%
Missing84
Missing (%)32.8%
Memory size2.1 KiB
2024-04-22T05:09:35.473383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.674419
Min length8

Characters and Unicode

Total characters2008
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row051-552-9511
2nd row051-913-0804
3rd row051 731 2120
4th row051 744 4514
5th row051-703-0078
ValueCountFrequency (%)
051 6
 
3.3%
752-3210 1
 
0.5%
0517580022 1
 
0.5%
15222364 1
 
0.5%
051-759-1011 1
 
0.5%
051-755-0055 1
 
0.5%
051-753-1340 1
 
0.5%
051-757-9901 1
 
0.5%
0517564139 1
 
0.5%
0516224436 1
 
0.5%
Other values (169) 169
91.8%
2024-04-22T05:09:36.687658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 386
19.2%
1 311
15.5%
- 304
15.1%
5 261
13.0%
7 140
 
7.0%
2 123
 
6.1%
4 102
 
5.1%
3 101
 
5.0%
8 101
 
5.0%
6 95
 
4.7%
Other values (4) 84
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1688
84.1%
Dash Punctuation 304
 
15.1%
Space Separator 12
 
0.6%
Math Symbol 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 386
22.9%
1 311
18.4%
5 261
15.5%
7 140
 
8.3%
2 123
 
7.3%
4 102
 
6.0%
3 101
 
6.0%
8 101
 
6.0%
6 95
 
5.6%
9 68
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 304
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 386
19.2%
1 311
15.5%
- 304
15.1%
5 261
13.0%
7 140
 
7.0%
2 123
 
6.1%
4 102
 
5.1%
3 101
 
5.0%
8 101
 
5.0%
6 95
 
4.7%
Other values (4) 84
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 386
19.2%
1 311
15.5%
- 304
15.1%
5 261
13.0%
7 140
 
7.0%
2 123
 
6.1%
4 102
 
5.1%
3 101
 
5.0%
8 101
 
5.0%
6 95
 
4.7%
Other values (4) 84
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)54.4%
Missing166
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean610320.7
Minimum600022
Maximum617829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:36.934258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600022
5-th percentile600069
Q1607832
median612430.5
Q3613805
95-th percentile614847
Maximum617829
Range17807
Interquartile range (IQR)5973

Descriptive statistics

Standard deviation4940.2159
Coefficient of variation (CV)0.008094459
Kurtosis-0.34222611
Mean610320.7
Median Absolute Deviation (MAD)1383
Skewness-0.9964356
Sum54928863
Variance24405733
MonotonicityNot monotonic
2024-04-22T05:09:37.188261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
612040 7
 
2.7%
613805 6
 
2.3%
612821 6
 
2.3%
614847 6
 
2.3%
612846 5
 
2.0%
612824 3
 
1.2%
612020 3
 
1.2%
600045 3
 
1.2%
613828 3
 
1.2%
607832 2
 
0.8%
Other values (39) 46
 
18.0%
(Missing) 166
64.8%
ValueCountFrequency (%)
600022 1
 
0.4%
600045 3
1.2%
600051 1
 
0.4%
600091 1
 
0.4%
600811 2
0.8%
601807 2
0.8%
601808 1
 
0.4%
601837 1
 
0.4%
602011 1
 
0.4%
602803 2
0.8%
ValueCountFrequency (%)
617829 1
 
0.4%
617809 1
 
0.4%
616816 1
 
0.4%
614847 6
2.3%
614846 1
 
0.4%
614845 1
 
0.4%
613830 1
 
0.4%
613828 3
1.2%
613827 1
 
0.4%
613815 1
 
0.4%
Distinct237
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T05:09:38.525616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length21.761719
Min length13

Characters and Unicode

Total characters5571
Distinct characters173
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)88.3%

Sample

1st row부산광역시 수영구 민락동 178-13번지
2nd row부산광역시 동래구 온천동 210-82번지
3rd row부산광역시 해운대구 송정동 312-6번지 프롬 게스트하우스 3,4동
4th row부산광역시 해운대구 우동 1510번지 센텀드림월드
5th row부산광역시 해운대구 우동 648-9번지
ValueCountFrequency (%)
부산광역시 256
23.6%
해운대구 80
 
7.4%
수영구 72
 
6.6%
민락동 42
 
3.9%
송정동 29
 
2.7%
우동 26
 
2.4%
광안동 24
 
2.2%
중동 23
 
2.1%
부산진구 19
 
1.8%
중구 18
 
1.7%
Other values (338) 495
45.7%
2024-04-22T05:09:40.089995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
828
 
14.9%
301
 
5.4%
1 289
 
5.2%
289
 
5.2%
288
 
5.2%
273
 
4.9%
261
 
4.7%
257
 
4.6%
247
 
4.4%
- 225
 
4.0%
Other values (163) 2313
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3373
60.5%
Decimal Number 1126
 
20.2%
Space Separator 828
 
14.9%
Dash Punctuation 225
 
4.0%
Uppercase Letter 7
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
301
 
8.9%
289
 
8.6%
288
 
8.5%
273
 
8.1%
261
 
7.7%
257
 
7.6%
247
 
7.3%
144
 
4.3%
133
 
3.9%
92
 
2.7%
Other values (141) 1088
32.3%
Decimal Number
ValueCountFrequency (%)
1 289
25.7%
2 132
11.7%
4 123
10.9%
5 112
 
9.9%
3 100
 
8.9%
0 87
 
7.7%
8 82
 
7.3%
7 74
 
6.6%
6 68
 
6.0%
9 59
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
K 2
28.6%
T 1
14.3%
O 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3373
60.5%
Common 2190
39.3%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
301
 
8.9%
289
 
8.6%
288
 
8.5%
273
 
8.1%
261
 
7.7%
257
 
7.6%
247
 
7.3%
144
 
4.3%
133
 
3.9%
92
 
2.7%
Other values (141) 1088
32.3%
Common
ValueCountFrequency (%)
828
37.8%
1 289
 
13.2%
- 225
 
10.3%
2 132
 
6.0%
4 123
 
5.6%
5 112
 
5.1%
3 100
 
4.6%
0 87
 
4.0%
8 82
 
3.7%
7 74
 
3.4%
Other values (6) 138
 
6.3%
Latin
ValueCountFrequency (%)
A 2
25.0%
K 2
25.0%
T 1
12.5%
1
12.5%
O 1
12.5%
G 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3373
60.5%
ASCII 2197
39.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
828
37.7%
1 289
 
13.2%
- 225
 
10.2%
2 132
 
6.0%
4 123
 
5.6%
5 112
 
5.1%
3 100
 
4.6%
0 87
 
4.0%
8 82
 
3.7%
7 74
 
3.4%
Other values (11) 145
 
6.6%
Hangul
ValueCountFrequency (%)
301
 
8.9%
289
 
8.6%
288
 
8.5%
273
 
8.1%
261
 
7.7%
257
 
7.6%
247
 
7.3%
144
 
4.3%
133
 
3.9%
92
 
2.7%
Other values (141) 1088
32.3%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct252
Distinct (%)99.2%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2024-04-22T05:09:41.092844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length29.425197
Min length20

Characters and Unicode

Total characters7474
Distinct characters218
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)98.4%

Sample

1st row부산광역시 수영구 광안해변로 249, 7층 (민락동, 홍윤빌딩)
2nd row부산광역시 동래구 금강로 110 (온천동)
3rd row부산광역시 해운대구 송정광어골로 15-1, 3,4층 (송정동, 프롬 게스트하우스)
4th row부산광역시 해운대구 센텀2로 25, 14층 (우동, 센텀드림월드)
5th row부산광역시 해운대구 해운대해변로209번가길 25 (우동, 노비오스모텔)
ValueCountFrequency (%)
부산광역시 254
 
17.9%
해운대구 80
 
5.6%
수영구 72
 
5.1%
민락동 43
 
3.0%
송정동 29
 
2.0%
광안동 25
 
1.8%
우동 24
 
1.7%
중동 23
 
1.6%
부산진구 19
 
1.3%
중구 18
 
1.3%
Other values (431) 835
58.7%
2024-04-22T05:09:42.392239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1187
 
15.9%
349
 
4.7%
304
 
4.1%
291
 
3.9%
289
 
3.9%
263
 
3.5%
256
 
3.4%
256
 
3.4%
( 245
 
3.3%
) 245
 
3.3%
Other values (208) 3789
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4601
61.6%
Space Separator 1187
 
15.9%
Decimal Number 995
 
13.3%
Open Punctuation 245
 
3.3%
Close Punctuation 245
 
3.3%
Other Punctuation 128
 
1.7%
Dash Punctuation 34
 
0.5%
Math Symbol 24
 
0.3%
Uppercase Letter 14
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
349
 
7.6%
304
 
6.6%
291
 
6.3%
289
 
6.3%
263
 
5.7%
256
 
5.6%
256
 
5.6%
240
 
5.2%
181
 
3.9%
154
 
3.3%
Other values (183) 2018
43.9%
Decimal Number
ValueCountFrequency (%)
1 204
20.5%
2 157
15.8%
3 122
12.3%
7 92
9.2%
4 89
8.9%
6 82
8.2%
5 73
 
7.3%
9 66
 
6.6%
0 57
 
5.7%
8 53
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
B 2
14.3%
K 2
14.3%
C 2
14.3%
O 1
 
7.1%
G 1
 
7.1%
M 1
 
7.1%
T 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%
Other Punctuation
ValueCountFrequency (%)
, 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4601
61.6%
Common 2858
38.2%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
349
 
7.6%
304
 
6.6%
291
 
6.3%
289
 
6.3%
263
 
5.7%
256
 
5.6%
256
 
5.6%
240
 
5.2%
181
 
3.9%
154
 
3.3%
Other values (183) 2018
43.9%
Common
ValueCountFrequency (%)
1187
41.5%
( 245
 
8.6%
) 245
 
8.6%
1 204
 
7.1%
2 157
 
5.5%
, 128
 
4.5%
3 122
 
4.3%
7 92
 
3.2%
4 89
 
3.1%
6 82
 
2.9%
Other values (6) 307
 
10.7%
Latin
ValueCountFrequency (%)
A 4
26.7%
B 2
13.3%
K 2
13.3%
C 2
13.3%
O 1
 
6.7%
1
 
6.7%
G 1
 
6.7%
M 1
 
6.7%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4601
61.6%
ASCII 2872
38.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1187
41.3%
( 245
 
8.5%
) 245
 
8.5%
1 204
 
7.1%
2 157
 
5.5%
, 128
 
4.5%
3 122
 
4.2%
7 92
 
3.2%
4 89
 
3.1%
6 82
 
2.9%
Other values (14) 321
 
11.2%
Hangul
ValueCountFrequency (%)
349
 
7.6%
304
 
6.6%
291
 
6.3%
289
 
6.3%
263
 
5.7%
256
 
5.6%
256
 
5.6%
240
 
5.2%
181
 
3.9%
154
 
3.3%
Other values (183) 2018
43.9%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)43.3%
Missing39
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean50634.488
Minimum46027
Maximum602831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:42.627494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46027
5-th percentile46493.2
Q148073
median48115
Q348303
95-th percentile48958.6
Maximum602831
Range556804
Interquartile range (IQR)230

Descriptive statistics

Standard deviation37665.007
Coefficient of variation (CV)0.74386072
Kurtosis216.86168
Mean50634.488
Median Absolute Deviation (MAD)169
Skewness14.723902
Sum10987684
Variance1.4186528 × 109
MonotonicityNot monotonic
2024-04-22T05:09:42.864984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48283 24
 
9.4%
48073 23
 
9.0%
48303 18
 
7.0%
48093 10
 
3.9%
48099 7
 
2.7%
48284 6
 
2.3%
48094 5
 
2.0%
48290 5
 
2.0%
48072 4
 
1.6%
47287 4
 
1.6%
Other values (84) 111
43.4%
(Missing) 39
 
15.2%
ValueCountFrequency (%)
46027 1
 
0.4%
46032 1
 
0.4%
46044 3
1.2%
46079 1
 
0.4%
46082 1
 
0.4%
46083 2
0.8%
46084 1
 
0.4%
46274 1
 
0.4%
46548 1
 
0.4%
46567 1
 
0.4%
ValueCountFrequency (%)
602831 1
0.4%
49312 1
0.4%
49311 1
0.4%
49275 1
0.4%
49269 1
0.4%
49264 2
0.8%
49037 1
0.4%
48983 2
0.8%
48965 1
0.4%
48957 1
0.4%
Distinct251
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T05:09:43.717303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.5546875
Min length2

Characters and Unicode

Total characters2190
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)96.1%

Sample

1st row지니게스트하우스2
2nd row동방관광호텔
3rd row프롬 게스트하우스
4th row스테이7 센텀 비지니스 호스텔
5th rowARK BLUE HOTEL
ValueCountFrequency (%)
호텔 19
 
4.8%
부산 13
 
3.3%
호스텔 10
 
2.5%
관광호텔 8
 
2.0%
해운대 7
 
1.8%
브라운도트호텔 6
 
1.5%
게스트하우스 6
 
1.5%
브라운도트 5
 
1.3%
hotel 5
 
1.3%
토요코인 3
 
0.8%
Other values (298) 316
79.4%
2024-04-22T05:09:45.088484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
7.4%
163
 
7.4%
142
 
6.5%
110
 
5.0%
61
 
2.8%
54
 
2.5%
52
 
2.4%
51
 
2.3%
( 40
 
1.8%
) 40
 
1.8%
Other values (295) 1314
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1754
80.1%
Space Separator 142
 
6.5%
Uppercase Letter 113
 
5.2%
Decimal Number 49
 
2.2%
Open Punctuation 41
 
1.9%
Close Punctuation 41
 
1.9%
Lowercase Letter 39
 
1.8%
Other Punctuation 6
 
0.3%
Dash Punctuation 3
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
163
 
9.3%
163
 
9.3%
110
 
6.3%
61
 
3.5%
54
 
3.1%
52
 
3.0%
51
 
2.9%
38
 
2.2%
36
 
2.1%
32
 
1.8%
Other values (242) 994
56.7%
Uppercase Letter
ValueCountFrequency (%)
E 16
14.2%
L 11
9.7%
A 10
8.8%
H 10
8.8%
T 9
 
8.0%
N 8
 
7.1%
O 7
 
6.2%
G 7
 
6.2%
B 7
 
6.2%
D 4
 
3.5%
Other values (10) 24
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
o 5
12.8%
s 4
10.3%
l 4
10.3%
g 3
7.7%
u 3
7.7%
t 3
7.7%
d 2
 
5.1%
i 2
 
5.1%
h 2
 
5.1%
Other values (4) 4
10.3%
Decimal Number
ValueCountFrequency (%)
2 10
20.4%
3 8
16.3%
5 7
14.3%
1 5
10.2%
9 5
10.2%
6 5
10.2%
7 4
 
8.2%
4 2
 
4.1%
8 2
 
4.1%
0 1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 40
97.6%
[ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 40
97.6%
] 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 3
50.0%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1754
80.1%
Common 282
 
12.9%
Latin 154
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
163
 
9.3%
163
 
9.3%
110
 
6.3%
61
 
3.5%
54
 
3.1%
52
 
3.0%
51
 
2.9%
38
 
2.2%
36
 
2.1%
32
 
1.8%
Other values (242) 994
56.7%
Latin
ValueCountFrequency (%)
E 16
 
10.4%
L 11
 
7.1%
A 10
 
6.5%
H 10
 
6.5%
T 9
 
5.8%
N 8
 
5.2%
O 7
 
4.5%
e 7
 
4.5%
G 7
 
4.5%
B 7
 
4.5%
Other values (25) 62
40.3%
Common
ValueCountFrequency (%)
142
50.4%
( 40
 
14.2%
) 40
 
14.2%
2 10
 
3.5%
3 8
 
2.8%
5 7
 
2.5%
1 5
 
1.8%
9 5
 
1.8%
6 5
 
1.8%
7 4
 
1.4%
Other values (8) 16
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1754
80.1%
ASCII 434
 
19.8%
Number Forms 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
163
 
9.3%
163
 
9.3%
110
 
6.3%
61
 
3.5%
54
 
3.1%
52
 
3.0%
51
 
2.9%
38
 
2.2%
36
 
2.1%
32
 
1.8%
Other values (242) 994
56.7%
ASCII
ValueCountFrequency (%)
142
32.7%
( 40
 
9.2%
) 40
 
9.2%
E 16
 
3.7%
L 11
 
2.5%
2 10
 
2.3%
A 10
 
2.3%
H 10
 
2.3%
T 9
 
2.1%
3 8
 
1.8%
Other values (42) 138
31.8%
Number Forms
ValueCountFrequency (%)
2
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.018766 × 1013
Minimum2.0050621 × 1013
Maximum2.0210429 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:45.327954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0050621 × 1013
5-th percentile2.0080538 × 1013
Q12.0190413 × 1013
median2.0200363 × 1013
Q32.0210114 × 1013
95-th percentile2.0210405 × 1013
Maximum2.0210429 × 1013
Range1.5980804 × 1011
Interquartile range (IQR)1.9700742 × 1010

Descriptive statistics

Standard deviation3.5565095 × 1010
Coefficient of variation (CV)0.0017617245
Kurtosis6.5655449
Mean2.018766 × 1013
Median Absolute Deviation (MAD)9.7564607 × 109
Skewness-2.6759638
Sum5.168041 × 1015
Variance1.264876 × 1021
MonotonicityNot monotonic
2024-04-22T05:09:45.593891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180827102326 1
 
0.4%
20201022162240 1
 
0.4%
20210120141058 1
 
0.4%
20190916160338 1
 
0.4%
20190603101233 1
 
0.4%
20171120193904 1
 
0.4%
20190625115914 1
 
0.4%
20210114181004 1
 
0.4%
20190808133900 1
 
0.4%
20181031103541 1
 
0.4%
Other values (246) 246
96.1%
ValueCountFrequency (%)
20050621104507 1
0.4%
20050711162144 1
0.4%
20050727133220 1
0.4%
20060602145220 1
0.4%
20060628142421 1
0.4%
20060731144015 1
0.4%
20060927180940 1
0.4%
20060929162709 1
0.4%
20061020155727 1
0.4%
20061031180359 1
0.4%
ValueCountFrequency (%)
20210429145755 1
0.4%
20210427154712 1
0.4%
20210426174459 1
0.4%
20210423110243 1
0.4%
20210421091454 1
0.4%
20210420090215 1
0.4%
20210419092107 1
0.4%
20210412141807 1
0.4%
20210409150740 1
0.4%
20210408181253 1
0.4%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
199 
I
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 199
77.7%
I 57
 
22.3%

Length

2024-04-22T05:09:45.830875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:45.993792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 199
77.7%
i 57
 
22.3%
Distinct129
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-01 02:40:00
2024-04-22T05:09:46.187367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:09:46.424646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)90.9%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean392446.19
Minimum379032.34
Maximum404842.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:46.662676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379032.34
5-th percentile383573.38
Q1387528.12
median393190.59
Q3396685.87
95-th percentile400615.61
Maximum404842.8
Range25810.454
Interquartile range (IQR)9157.7473

Descriptive statistics

Standard deviation5669.3062
Coefficient of variation (CV)0.014446073
Kurtosis-0.58942288
Mean392446.19
Median Absolute Deviation (MAD)4025.5176
Skewness-0.25313224
Sum98896439
Variance32141033
MonotonicityNot monotonic
2024-04-22T05:09:46.919381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393521.998603867 8
 
3.1%
397022.971550345 3
 
1.2%
397494.828591053 3
 
1.2%
395574.958778256 3
 
1.2%
384719.60881858 2
 
0.8%
392732.161638137 2
 
0.8%
392578.29664069 2
 
0.8%
393475.046553126 2
 
0.8%
396200.686719735 2
 
0.8%
387278.084949834 2
 
0.8%
Other values (219) 223
87.1%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
379032.341485035 1
0.4%
379146.456410293 1
0.4%
379166.258036809 1
0.4%
379217.521019149 1
0.4%
379527.59641944 1
0.4%
379731.953370869 1
0.4%
380057.991425369 1
0.4%
380460.313281968 1
0.4%
380690.195137444 1
0.4%
381753.509588417 1
0.4%
ValueCountFrequency (%)
404842.795477 1
0.4%
403158.948088181 1
0.4%
403138.677972054 1
0.4%
402899.903247998 1
0.4%
402877.316530715 1
0.4%
402350.452980965 1
0.4%
402144.440463941 1
0.4%
401110.03747854 1
0.4%
400817.585616257 1
0.4%
400768.055656637 1
0.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)90.9%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean186212.85
Minimum174765.31
Maximum207516.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:47.159129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174765.31
5-th percentile179599.94
Q1185528.52
median186181.22
Q3187513.41
95-th percentile192526.95
Maximum207516.98
Range32751.676
Interquartile range (IQR)1984.8953

Descriptive statistics

Standard deviation3954.2487
Coefficient of variation (CV)0.021235102
Kurtosis5.0477901
Mean186212.85
Median Absolute Deviation (MAD)938.60075
Skewness0.75995315
Sum46925637
Variance15636083
MonotonicityNot monotonic
2024-04-22T05:09:47.405869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185933.100965604 8
 
3.1%
186692.06462196 3
 
1.2%
187231.036757478 3
 
1.2%
186053.656022508 3
 
1.2%
178090.566769083 2
 
0.8%
185542.452702234 2
 
0.8%
185333.165354711 2
 
0.8%
186049.671295774 2
 
0.8%
186216.650203359 2
 
0.8%
185899.352625207 2
 
0.8%
Other values (219) 223
87.1%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
174765.307900471 1
0.4%
175776.950578959 1
0.4%
176944.175666118 1
0.4%
177210.05114787 1
0.4%
177272.599070061 1
0.4%
178090.566769083 2
0.8%
179018.65381904 1
0.4%
179296.177935356 1
0.4%
179447.226505734 1
0.4%
179482.336622982 1
0.4%
ValueCountFrequency (%)
207516.984282 1
0.4%
204037.010296474 1
0.4%
198055.522421124 1
0.4%
198007.244770813 1
0.4%
195952.674076618 1
0.4%
194554.94940589 1
0.4%
193732.986829639 1
0.4%
193209.131530013 1
0.4%
193171.650339148 1
0.4%
192996.253435511 1
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광숙박업
256 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 256
100.0%

Length

2024-04-22T05:09:47.644558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:47.873367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 256
100.0%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
191 
관광사업
65 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 191
74.6%
관광사업 65
 
25.4%

Length

2024-04-22T05:09:48.185186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:48.486862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
74.6%
관광사업 65
 
25.4%

지역구분명
Categorical

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
93 
일반상업지역
78 
준주거지역
46 
상업지역
21 
일반주거지역
 
9
Other values (5)
 
9

Length

Max length6
Median length5
Mean length4.890625
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
36.3%
일반상업지역 78
30.5%
준주거지역 46
18.0%
상업지역 21
 
8.2%
일반주거지역 9
 
3.5%
주거지역 3
 
1.2%
자연녹지지역 2
 
0.8%
준공업지역 2
 
0.8%
공업지역 1
 
0.4%
중심상업지역 1
 
0.4%

Length

2024-04-22T05:09:48.858221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:49.237953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
36.3%
일반상업지역 78
30.5%
준주거지역 46
18.0%
상업지역 21
 
8.2%
일반주거지역 9
 
3.5%
주거지역 3
 
1.2%
자연녹지지역 2
 
0.8%
준공업지역 2
 
0.8%
공업지역 1
 
0.4%
중심상업지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)17.0%
Missing97
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean10.308176
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:49.627654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median9
Q312
95-th percentile21.3
Maximum47
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.7570401
Coefficient of variation (CV)0.65550298
Kurtosis7.7642486
Mean10.308176
Median Absolute Deviation (MAD)3
Skewness2.2228886
Sum1639
Variance45.657591
MonotonicityNot monotonic
2024-04-22T05:09:50.014925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
10 22
 
8.6%
7 14
 
5.5%
5 13
 
5.1%
8 13
 
5.1%
11 13
 
5.1%
9 11
 
4.3%
12 10
 
3.9%
6 10
 
3.9%
4 8
 
3.1%
2 7
 
2.7%
Other values (17) 38
 
14.8%
(Missing) 97
37.9%
ValueCountFrequency (%)
1 2
 
0.8%
2 7
 
2.7%
3 3
 
1.2%
4 8
 
3.1%
5 13
5.1%
6 10
3.9%
7 14
5.5%
8 13
5.1%
9 11
4.3%
10 22
8.6%
ValueCountFrequency (%)
47 1
 
0.4%
39 1
 
0.4%
37 1
 
0.4%
28 1
 
0.4%
25 2
 
0.8%
24 2
 
0.8%
21 2
 
0.8%
20 1
 
0.4%
19 5
2.0%
18 3
1.2%

주변환경명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
170 
기타
53 
유흥업소밀집지역
 
15
학교정화(상대)
 
13
주택가주변
 
5

Length

Max length8
Median length4
Mean length4.0429688
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 170
66.4%
기타 53
 
20.7%
유흥업소밀집지역 15
 
5.9%
학교정화(상대) 13
 
5.1%
주택가주변 5
 
2.0%

Length

2024-04-22T05:09:50.434069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:50.777691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
66.4%
기타 53
 
20.7%
유흥업소밀집지역 15
 
5.9%
학교정화(상대 13
 
5.1%
주택가주변 5
 
2.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

보험기관명
Text

MISSING 

Distinct17
Distinct (%)65.4%
Missing230
Missing (%)89.8%
Memory size2.1 KiB
2024-04-22T05:09:51.392826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length7.4230769
Min length2

Characters and Unicode

Total characters193
Distinct characters37
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)50.0%

Sample

1st row재난배상책임보험
2nd row메리츠화재
3rd row동부
4th row한화손해보험
5th row현대
ValueCountFrequency (%)
재난배상책임보험 5
17.9%
한화손해보험 4
14.3%
메리츠화재 3
 
10.7%
농협손해보험주식회사 2
 
7.1%
삼성화재(재난배상책임보험 1
 
3.6%
손해보험 1
 
3.6%
db 1
 
3.6%
동부화재 1
 
3.6%
삼성화재 1
 
3.6%
삼성화재해상보험주식회사 1
 
3.6%
Other values (8) 8
28.6%
2024-04-22T05:09:52.471119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
9.3%
18
 
9.3%
16
 
8.3%
13
 
6.7%
11
 
5.7%
11
 
5.7%
7
 
3.6%
7
 
3.6%
7
 
3.6%
7
 
3.6%
Other values (27) 78
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
94.8%
Uppercase Letter 4
 
2.1%
Close Punctuation 2
 
1.0%
Space Separator 2
 
1.0%
Open Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
9.8%
18
 
9.8%
16
 
8.7%
13
 
7.1%
11
 
6.0%
11
 
6.0%
7
 
3.8%
7
 
3.8%
7
 
3.8%
7
 
3.8%
Other values (20) 68
37.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
H 1
25.0%
N 1
25.0%
B 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
94.8%
Common 6
 
3.1%
Latin 4
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
9.8%
18
 
9.8%
16
 
8.7%
13
 
7.1%
11
 
6.0%
11
 
6.0%
7
 
3.8%
7
 
3.8%
7
 
3.8%
7
 
3.8%
Other values (20) 68
37.2%
Latin
ValueCountFrequency (%)
D 1
25.0%
H 1
25.0%
N 1
25.0%
B 1
25.0%
Common
ValueCountFrequency (%)
) 2
33.3%
2
33.3%
( 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
94.8%
ASCII 10
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
18
 
9.8%
18
 
9.8%
16
 
8.7%
13
 
7.1%
11
 
6.0%
11
 
6.0%
7
 
3.8%
7
 
3.8%
7
 
3.8%
7
 
3.8%
Other values (20) 68
37.2%
ASCII
ValueCountFrequency (%)
) 2
20.0%
2
20.0%
( 2
20.0%
D 1
10.0%
H 1
10.0%
N 1
10.0%
B 1
10.0%

건물용도명
Categorical

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
129 
숙박시설
82 
호텔
39 
근린생활시설
 
3
콘도미니엄
 
2

Length

Max length6
Median length4
Mean length3.71875
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
50.4%
숙박시설 82
32.0%
호텔 39
 
15.2%
근린생활시설 3
 
1.2%
콘도미니엄 2
 
0.8%
기타 1
 
0.4%

Length

2024-04-22T05:09:52.908295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:09:53.261869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
50.4%
숙박시설 82
32.0%
호텔 39
 
15.2%
근린생활시설 3
 
1.2%
콘도미니엄 2
 
0.8%
기타 1
 
0.4%

지상층수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)15.4%
Missing100
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean9.9615385
Minimum2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:53.620443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q311
95-th percentile20.5
Maximum43
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.3376852
Coefficient of variation (CV)0.6362155
Kurtosis8.3042632
Mean9.9615385
Median Absolute Deviation (MAD)3
Skewness2.3774001
Sum1554
Variance40.166253
MonotonicityNot monotonic
2024-04-22T05:09:53.997767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 21
 
8.2%
8 20
 
7.8%
9 17
 
6.6%
6 14
 
5.5%
4 12
 
4.7%
7 12
 
4.7%
15 9
 
3.5%
3 7
 
2.7%
5 7
 
2.7%
11 7
 
2.7%
Other values (14) 30
 
11.7%
(Missing) 100
39.1%
ValueCountFrequency (%)
2 3
 
1.2%
3 7
 
2.7%
4 12
4.7%
5 7
 
2.7%
6 14
5.5%
7 12
4.7%
8 20
7.8%
9 17
6.6%
10 21
8.2%
11 7
 
2.7%
ValueCountFrequency (%)
43 1
 
0.4%
39 1
 
0.4%
37 1
 
0.4%
26 1
 
0.4%
24 1
 
0.4%
23 1
 
0.4%
22 2
 
0.8%
20 2
 
0.8%
19 5
2.0%
17 2
 
0.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)5.7%
Missing133
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean1.7317073
Minimum0
Maximum7
Zeros7
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:54.334987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q11
median1
Q32
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1947506
Coefficient of variation (CV)0.68992641
Kurtosis2.7237007
Mean1.7317073
Median Absolute Deviation (MAD)1
Skewness1.4439337
Sum213
Variance1.427429
MonotonicityNot monotonic
2024-04-22T05:09:54.686883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 61
23.8%
2 31
 
12.1%
3 11
 
4.3%
4 10
 
3.9%
0 7
 
2.7%
5 2
 
0.8%
7 1
 
0.4%
(Missing) 133
52.0%
ValueCountFrequency (%)
0 7
 
2.7%
1 61
23.8%
2 31
12.1%
3 11
 
4.3%
4 10
 
3.9%
5 2
 
0.8%
7 1
 
0.4%
ValueCountFrequency (%)
7 1
 
0.4%
5 2
 
0.8%
4 10
 
3.9%
3 11
 
4.3%
2 31
12.1%
1 61
23.8%
0 7
 
2.7%

객실수
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)50.0%
Missing56
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean70.685
Minimum1
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:55.045129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median32
Q361
95-th percentile316.7
Maximum650
Range649
Interquartile range (IQR)54

Descriptive statistics

Standard deviation110.93425
Coefficient of variation (CV)1.5694171
Kurtosis7.2707324
Mean70.685
Median Absolute Deviation (MAD)25
Skewness2.6240504
Sum14137
Variance12306.408
MonotonicityNot monotonic
2024-04-22T05:09:55.306811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
4.7%
5 9
 
3.5%
6 9
 
3.5%
8 8
 
3.1%
3 7
 
2.7%
2 7
 
2.7%
40 6
 
2.3%
4 5
 
2.0%
45 4
 
1.6%
48 4
 
1.6%
Other values (90) 129
50.4%
(Missing) 56
21.9%
ValueCountFrequency (%)
1 2
 
0.8%
2 7
2.7%
3 7
2.7%
4 5
2.0%
5 9
3.5%
6 9
3.5%
7 12
4.7%
8 8
3.1%
9 3
 
1.2%
10 2
 
0.8%
ValueCountFrequency (%)
650 1
0.4%
528 1
0.4%
510 1
0.4%
491 1
0.4%
417 1
0.4%
407 1
0.4%
393 1
0.4%
350 1
0.4%
331 1
0.4%
330 1
0.4%

건축연면적
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)97.6%
Missing172
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean9130.75
Minimum114
Maximum183804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:55.566744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile343
Q11363.75
median2671.5
Q37116.5
95-th percentile20571
Maximum183804
Range183690
Interquartile range (IQR)5752.75

Descriptive statistics

Standard deviation23979.321
Coefficient of variation (CV)2.6262159
Kurtosis36.682179
Mean9130.75
Median Absolute Deviation (MAD)1685.5
Skewness5.6974454
Sum766983
Variance5.7500782 × 108
MonotonicityNot monotonic
2024-04-22T05:09:55.964823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20571 2
 
0.8%
821 2
 
0.8%
1489 1
 
0.4%
2282 1
 
0.4%
2324 1
 
0.4%
547 1
 
0.4%
1198 1
 
0.4%
1781 1
 
0.4%
3655 1
 
0.4%
616 1
 
0.4%
Other values (72) 72
28.1%
(Missing) 172
67.2%
ValueCountFrequency (%)
114 1
0.4%
119 1
0.4%
302 1
0.4%
320 1
0.4%
334 1
0.4%
394 1
0.4%
427 1
0.4%
530 1
0.4%
547 1
0.4%
616 1
0.4%
ValueCountFrequency (%)
183804 1
0.4%
93982 1
0.4%
84753 1
0.4%
29599 1
0.4%
20571 2
0.8%
19952 1
0.4%
19846 1
0.4%
18393 1
0.4%
17033 1
0.4%
16175 1
0.4%

영문상호명
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing223
Missing (%)87.1%
Memory size2.1 KiB
2024-04-22T05:09:56.726887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length19.393939
Min length8

Characters and Unicode

Total characters640
Distinct characters50
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st rowBUSAN TOUR HOSTEL
2nd rowDOWN BEACH TOURIST HOTEL
3rd rowRIO TOURIST HOTEL
4th rowSolaria Nishitetsu Hotel Busan
5th rowNEW CONTINENTAL TOURIST HOTEL
ValueCountFrequency (%)
hotel 23
22.8%
tourist 5
 
5.0%
busan 5
 
5.0%
house 3
 
3.0%
city 2
 
2.0%
brown-dot 2
 
2.0%
hostel 2
 
2.0%
b 1
 
1.0%
tour 1
 
1.0%
ltd 1
 
1.0%
Other values (56) 56
55.4%
2024-04-22T05:09:57.882064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
10.6%
O 47
 
7.3%
T 39
 
6.1%
H 35
 
5.5%
E 31
 
4.8%
S 27
 
4.2%
e 27
 
4.2%
L 26
 
4.1%
o 26
 
4.1%
N 26
 
4.1%
Other values (40) 288
45.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 364
56.9%
Lowercase Letter 192
30.0%
Space Separator 68
 
10.6%
Other Punctuation 8
 
1.2%
Dash Punctuation 5
 
0.8%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Final Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 47
12.9%
T 39
10.7%
H 35
9.6%
E 31
 
8.5%
S 27
 
7.4%
L 26
 
7.1%
N 26
 
7.1%
A 21
 
5.8%
I 17
 
4.7%
U 16
 
4.4%
Other values (12) 79
21.7%
Lowercase Letter
ValueCountFrequency (%)
e 27
14.1%
o 26
13.5%
t 24
12.5%
n 16
8.3%
s 15
7.8%
l 13
6.8%
a 13
6.8%
i 12
6.2%
u 12
6.2%
r 6
 
3.1%
Other values (10) 28
14.6%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
. 3
37.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 556
86.9%
Common 84
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 47
 
8.5%
T 39
 
7.0%
H 35
 
6.3%
E 31
 
5.6%
S 27
 
4.9%
e 27
 
4.9%
L 26
 
4.7%
o 26
 
4.7%
N 26
 
4.7%
t 24
 
4.3%
Other values (32) 248
44.6%
Common
ValueCountFrequency (%)
68
81.0%
- 5
 
6.0%
, 4
 
4.8%
. 3
 
3.6%
( 1
 
1.2%
) 1
 
1.2%
1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 639
99.8%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
 
10.6%
O 47
 
7.4%
T 39
 
6.1%
H 35
 
5.5%
E 31
 
4.9%
S 27
 
4.2%
e 27
 
4.2%
L 26
 
4.1%
o 26
 
4.1%
N 26
 
4.1%
Other values (39) 287
44.9%
Punctuation
ValueCountFrequency (%)
1
100.0%

영문상호주소
Text

MISSING 

Distinct16
Distinct (%)51.6%
Missing225
Missing (%)87.9%
Memory size2.1 KiB
2024-04-22T05:09:58.329396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length26.903226
Min length6

Characters and Unicode

Total characters834
Distinct characters37
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)29.0%

Sample

1st rowTOURIST ACCOMMODATION(HOSTEL)
2nd rowTOURIST ACCOMMODATION(TOURIST HOTEL)
3rd rowTOURIST ACCOMMODATION(TOURIST HOTEL)
4th rowTourist Hotel
5th rowTOURIST ACCOMMODATION (TOURIST HOTEL)
ValueCountFrequency (%)
tourist 26
30.6%
hotel 21
24.7%
accommodation(tourist 9
 
10.6%
accommodation 7
 
8.2%
hostel 5
 
5.9%
business 5
 
5.9%
tourism 4
 
4.7%
accommodation(hostel 2
 
2.4%
certificate 1
 
1.2%
of 1
 
1.2%
Other values (4) 4
 
4.7%
2024-04-22T05:09:59.023220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 106
 
12.7%
O 99
 
11.9%
I 54
 
6.5%
53
 
6.4%
S 38
 
4.6%
A 36
 
4.3%
C 36
 
4.3%
M 36
 
4.3%
R 35
 
4.2%
U 33
 
4.0%
Other values (27) 308
36.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 575
68.9%
Lowercase Letter 170
 
20.4%
Space Separator 53
 
6.4%
Open Punctuation 17
 
2.0%
Close Punctuation 17
 
2.0%
Control 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 106
18.4%
O 99
17.2%
I 54
9.4%
S 38
 
6.6%
A 36
 
6.3%
C 36
 
6.3%
M 36
 
6.3%
R 35
 
6.1%
U 33
 
5.7%
H 26
 
4.5%
Other values (7) 76
13.2%
Lowercase Letter
ValueCountFrequency (%)
o 27
15.9%
s 26
15.3%
t 23
13.5%
e 16
9.4%
i 15
8.8%
u 13
7.6%
l 12
7.1%
r 9
 
5.3%
m 6
 
3.5%
n 6
 
3.5%
Other values (5) 17
10.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 745
89.3%
Common 89
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 106
14.2%
O 99
13.3%
I 54
 
7.2%
S 38
 
5.1%
A 36
 
4.8%
C 36
 
4.8%
M 36
 
4.8%
R 35
 
4.7%
U 33
 
4.4%
o 27
 
3.6%
Other values (22) 245
32.9%
Common
ValueCountFrequency (%)
53
59.6%
( 17
 
19.1%
) 17
 
19.1%
1
 
1.1%
0 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 106
 
12.7%
O 99
 
11.9%
I 54
 
6.5%
53
 
6.4%
S 38
 
4.6%
A 36
 
4.3%
C 36
 
4.3%
M 36
 
4.3%
R 35
 
4.2%
U 33
 
4.0%
Other values (27) 308
36.9%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct184
Distinct (%)97.9%
Missing68
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean4323.6417
Minimum60.65
Maximum93981.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:09:59.257039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.65
5-th percentile113.011
Q1341.31
median1059.82
Q33477.6125
95-th percentile18326.914
Maximum93981.55
Range93920.9
Interquartile range (IQR)3136.3025

Descriptive statistics

Standard deviation10582.626
Coefficient of variation (CV)2.4476187
Kurtosis44.784984
Mean4323.6417
Median Absolute Deviation (MAD)893.88
Skewness6.0715484
Sum812844.64
Variance1.1199198 × 108
MonotonicityNot monotonic
2024-04-22T05:09:59.782958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
414.76 2
 
0.8%
218.85 2
 
0.8%
415.74 2
 
0.8%
165.94 2
 
0.8%
597.8 1
 
0.4%
169.63 1
 
0.4%
1382.35 1
 
0.4%
225.16 1
 
0.4%
313.04 1
 
0.4%
3655.72 1
 
0.4%
Other values (174) 174
68.0%
(Missing) 68
 
26.6%
ValueCountFrequency (%)
60.65 1
0.4%
65.77 1
0.4%
70.39 1
0.4%
75.8 1
0.4%
82.97 1
0.4%
83.37 1
0.4%
107.91 1
0.4%
108.35 1
0.4%
108.39 1
0.4%
109.21 1
0.4%
ValueCountFrequency (%)
93981.55 1
0.4%
84752.66 1
0.4%
30869.96 1
0.4%
30338.87 1
0.4%
28385.0 1
0.4%
27553.0 1
0.4%
25876.24 1
0.4%
24574.5 1
0.4%
19846.0 1
0.4%
18393.47 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

자본금
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)70.3%
Missing165
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean3.4671569 × 109
Minimum500000
Maximum7 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:10:00.044078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500000
5-th percentile12250000
Q11 × 108
median3.4 × 108
Q32.553 × 109
95-th percentile1.0875 × 1010
Maximum7 × 1010
Range6.99995 × 1010
Interquartile range (IQR)2.453 × 109

Descriptive statistics

Standard deviation9.6747328 × 109
Coefficient of variation (CV)2.7903937
Kurtosis30.230816
Mean3.4671569 × 109
Median Absolute Deviation (MAD)3.12 × 108
Skewness5.2174355
Sum3.1551128 × 1011
Variance9.3600455 × 1019
MonotonicityNot monotonic
2024-04-22T05:10:00.495181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 8
 
3.1%
200000000 6
 
2.3%
2000000000 3
 
1.2%
800000000 3
 
1.2%
300000000 3
 
1.2%
150000000 3
 
1.2%
50000000 2
 
0.8%
5000000 2
 
0.8%
1200000000 2
 
0.8%
250000000 2
 
0.8%
Other values (54) 57
 
22.3%
(Missing) 165
64.5%
ValueCountFrequency (%)
500000 1
0.4%
5000000 2
0.8%
10000000 1
0.4%
12000000 1
0.4%
12500000 1
0.4%
20000000 1
0.4%
28000000 1
0.4%
30000000 1
0.4%
35000000 1
0.4%
40000000 1
0.4%
ValueCountFrequency (%)
70000000000 1
0.4%
48000000000 1
0.4%
35300000000 1
0.4%
15000000000 1
0.4%
12000000000 1
0.4%
9750000000 1
0.4%
9000000000 1
0.4%
8000000000 1
0.4%
7600000000 1
0.4%
7000000000 1
0.4%

보험시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
254 
20180124
 
1
20190628
 
1

Length

Max length8
Median length4
Mean length4.03125
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 254
99.2%
20180124 1
 
0.4%
20190628 1
 
0.4%

Length

2024-04-22T05:10:00.950211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:10:01.291730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 254
99.2%
20180124 1
 
0.4%
20190628 1
 
0.4%

보험종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
254 
20190124
 
1
20200628
 
1

Length

Max length8
Median length4
Mean length4.03125
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 254
99.2%
20190124 1
 
0.4%
20200628 1
 
0.4%

Length

2024-04-22T05:10:01.658988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:10:01.998675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 254
99.2%
20190124 1
 
0.4%
20200628 1
 
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct177
Distinct (%)94.1%
Missing68
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean4323.617
Minimum61
Maximum93982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-22T05:10:02.340942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile112.85
Q1341.5
median1059.5
Q33477.5
95-th percentile18326.5
Maximum93982
Range93921
Interquartile range (IQR)3136

Descriptive statistics

Standard deviation10582.671
Coefficient of variation (CV)2.447643
Kurtosis44.785128
Mean4323.617
Median Absolute Deviation (MAD)893.5
Skewness6.0715593
Sum812840
Variance1.1199292 × 108
MonotonicityNot monotonic
2024-04-22T05:10:02.765009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 3
 
1.2%
416 3
 
1.2%
120 2
 
0.8%
219 2
 
0.8%
415 2
 
0.8%
166 2
 
0.8%
83 2
 
0.8%
208 2
 
0.8%
334 2
 
0.8%
3653 1
 
0.4%
Other values (167) 167
65.2%
(Missing) 68
26.6%
ValueCountFrequency (%)
61 1
 
0.4%
66 1
 
0.4%
70 1
 
0.4%
76 1
 
0.4%
83 2
0.8%
108 3
1.2%
109 1
 
0.4%
120 2
0.8%
130 1
 
0.4%
131 1
 
0.4%
ValueCountFrequency (%)
93982 1
0.4%
84753 1
0.4%
30870 1
0.4%
30339 1
0.4%
28385 1
0.4%
27553 1
0.4%
25876 1
0.4%
24575 1
0.4%
19846 1
0.4%
18393 1
0.4%
Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광호텔업
109 
호스텔업
106 
<NA>
29 
휴양콘도미니엄업
 
6
소형호텔업
 
5

Length

Max length8
Median length4
Mean length4.5429688
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 109
42.6%
호스텔업 106
41.4%
<NA> 29
 
11.3%
휴양콘도미니엄업 6
 
2.3%
소형호텔업 5
 
2.0%
가족호텔업 1
 
0.4%

Length

2024-04-22T05:10:03.201143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:10:03.556874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 109
42.6%
호스텔업 106
41.4%
na 29
 
11.3%
휴양콘도미니엄업 6
 
2.3%
소형호텔업 5
 
2.0%
가족호텔업 1
 
0.4%

Unnamed: 64
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing256
Missing (%)100.0%
Memory size2.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명Unnamed: 64
01관광숙박업03_11_01_P3380000CDFI226003201500000420150630201808274취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>613828부산광역시 수영구 민락동 178-13번지부산광역시 수영구 광안해변로 249, 7층 (민락동, 홍윤빌딩)48284지니게스트하우스220180827102326I2018-08-31 23:59:59.0<NA>393213.33657186059.23575관광숙박업<NA>일반상업지역10기타<NA><NA>숙박시설1017<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>208.14<NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA>208호스텔업<NA>
12관광숙박업03_11_01_P3300000CDFI226003198700000119870307201902204취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-552-9511<NA>607833부산광역시 동래구 온천동 210-82번지부산광역시 동래구 금강로 110 (온천동)<NA>동방관광호텔20190311142043U2019-03-13 02:40:00.0<NA>389291.717213192996.253436관광숙박업관광사업<NA>10<NA><NA><NA>숙박시설82403735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23관광숙박업03_11_01_P3330000CDFI226003201400000420140731<NA>3폐업3폐업20190522<NA><NA><NA><NA><NA>612040부산광역시 해운대구 송정동 312-6번지 프롬 게스트하우스 3,4동부산광역시 해운대구 송정광어골로 15-1, 3,4층 (송정동, 프롬 게스트하우스)48073프롬 게스트하우스20190522162143U2019-05-24 02:40:00.0<NA>400211.697272188918.077386관광숙박업<NA>준주거지역5기타<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>656.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>656호스텔업<NA>
34관광숙박업03_11_01_P3330000CDFI226003201400000220140623<NA>3폐업3폐업20200323<NA><NA><NA>051-913-0804<NA>612889부산광역시 해운대구 우동 1510번지 센텀드림월드부산광역시 해운대구 센텀2로 25, 14층 (우동, 센텀드림월드)48060스테이7 센텀 비지니스 호스텔20200323154223U2020-03-25 02:40:00.0<NA>394259.857138187389.720344관광숙박업<NA>일반상업지역14유흥업소밀집지역<NA><NA><NA><NA><NA>23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>797.27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>797호스텔업<NA>
45관광숙박업03_11_01_P3330000CDFI226003201700000720170607<NA>3폐업3폐업20190701<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 648-9번지부산광역시 해운대구 해운대해변로209번가길 25 (우동, 노비오스모텔)48093ARK BLUE HOTEL20191209172321U2019-12-11 02:40:00.0<NA>396428.114069186620.794349관광숙박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>270.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>270호스텔업<NA>
56관광숙박업03_11_01_P3330000CDFI226003201700000620170417<NA>3폐업3폐업20191029<NA><NA><NA>051 731 2120<NA><NA>부산광역시 해운대구 우동 626-14번지부산광역시 해운대구 해운대로570번길 55 (우동, 스카이비치)48094문동이네20191029094343U2019-10-31 02:40:00.0<NA>396749.296704186683.351832관광숙박업<NA>일반상업지역6<NA><NA><NA>근린생활시설<NA><NA>8334<NA><NA><NA><NA><NA><NA><NA><NA><NA>334.0<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>334호스텔업<NA>
67관광숙박업03_11_01_P3330000CDFI226003201500000920151210<NA>3폐업3폐업20170921<NA><NA><NA>051 744 4514<NA><NA>부산광역시 해운대구 중동부산광역시 해운대구 해운대해변로 315, 11~14층 (중동, 메리얼타워)48095메리얼 관광호텔20170921163840I2018-08-31 23:59:59.0<NA>397148.05247186910.164106관광숙박업<NA>일반상업지역17학교정화(상대)<NA><NA>숙박시설143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA><NA>관광호텔업<NA>
78관광숙박업03_11_01_P3330000CDFI226003201500000620150827<NA>3폐업3폐업20170913<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동부산광역시 해운대구 달맞이길 193, 2층 (중동)48115썬앤문 게스트하우스20180628131922I2018-08-31 23:59:59.0<NA>398791.041408186530.146494관광숙박업<NA>일반주거지역<NA>주택가주변<NA><NA>숙박시설2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>호스텔업<NA>
89관광숙박업03_11_01_P3330000CDFI226003201500000220150522<NA>3폐업3폐업20190702<NA><NA><NA><NA><NA>612040부산광역시 해운대구 송정동 288-4번지부산광역시 해운대구 송정해변로 10 (송정동)48072플랫비(FLAT B)20190702161253U2019-07-04 02:40:00.0<NA>400768.055657189089.148394관광숙박업<NA>일반상업지역5<NA><NA><NA>숙박시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>793.23<NA><NA><NA><NA><NA><NA><NA><NA>70000000<NA><NA><NA>793호스텔업<NA>
910관광숙박업03_11_01_P3330000CDFI226003201500000120150508<NA>3폐업3폐업20210326<NA><NA><NA>051-703-0078<NA>612040부산광역시 해운대구 송정동 201-3부산광역시 해운대구 송정중앙로33번길 15 (송정동)48070부산관광호스텔20210326170431U2021-03-28 02:40:00.0<NA>400728.446575189324.668572관광숙박업<NA>일반상업지역<NA><NA><NA><NA><NA><NA><NA>9<NA>BUSAN TOUR HOSTELTOURIST ACCOMMODATION(HOSTEL)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>호스텔업<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명Unnamed: 64
246247관광숙박업03_11_01_P3250000CDFI226003201600000120161229<NA>1영업/정상13영업중<NA><NA><NA><NA>051-462-8008<NA><NA>부산광역시 중구 중앙동4가 52-8번지부산광역시 중구 해관로 79-1 (중앙동4가, 반달호텔)48928반달호텔20191205174136U2019-12-07 02:40:00.0<NA>385488.794607180448.886029관광숙박업<NA>일반상업지역<NA><NA><NA>삼성화재<NA><NA><NA>28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>994.0<NA><NA><NA><NA><NA><NA><NA><NA>4800000000<NA><NA><NA>994소형호텔업<NA>
247248관광숙박업03_11_01_P3250000CDFI226003197400000119740613<NA>1영업/정상13영업중<NA><NA><NA><NA>051-466-9101<NA>600811부산광역시 중구 영주동 742-13부산광역시 중구 중구로 151 (영주동)48912(주)코모도호텔20201031171251U2020-11-03 02:40:00.0<NA>385475.54305180776.20099관광숙박업관광사업<NA>18<NA><NA><NA>숙박시설153312<NA>COMMODORET0URIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>27553.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27553관광호텔업<NA>
248249관광숙박업03_11_01_P3250000CDFI226003201800000120180109<NA>1영업/정상13영업중<NA><NA><NA><NA>051-464-8532<NA><NA>부산광역시 중구 대청동2가 7-1부산광역시 중구 대청로 107 (대청동2가)48933넘버25호텔 대청점20210409150740U2021-04-11 02:40:00.0<NA>385176.391701180113.825158관광숙박업<NA><NA>8<NA><NA><NA><NA>6260<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4277.42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4277관광호텔업<NA>
249250관광숙박업03_11_01_P3250000CDFI226003201700000220170814<NA>1영업/정상13영업중<NA><NA><NA><NA>051-795-7700<NA><NA>부산광역시 중구 남포동5가 56-1번지부산광역시 중구 구덕로 53 (남포동5가)48983스탠포드 인 부산20200120134434U2020-01-22 02:40:00.0<NA>385027.185256179533.7497관광숙박업<NA>일반상업지역17<NA><NA><NA><NA>152132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4437.88<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4438관광호텔업<NA>
250251관광숙박업03_11_01_P3250000CDFI226003201700000120170324<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 20-10부산광역시 중구 초량중로 8-1, 2층 (영주동)48911첵앤아웃호스텔20201226162114U2020-12-29 02:40:00.0<NA>385580.190351181198.150721관광숙박업<NA>상업지역2<NA><NA>동부화재 재난배상책임보험숙박시설2<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60.65<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>61호스텔업<NA>
251252관광숙박업03_11_01_P3250000CDFI226003200800000120080416<NA>1영업/정상13영업중<NA><NA><NA><NA>051-442-1045<NA><NA>부산광역시 중구 대창동1가 22-4부산광역시 중구 중앙대로 125 (대창동1가)48924토요코인부산역Ⅱ20201226161909U2020-12-29 02:40:00.0<NA>385610.773395180783.859472관광숙박업관광사업<NA>25<NA><NA><NA><NA>232491<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12168.64<NA><NA><NA><NA><NA><NA><NA><NA>35300000000<NA><NA><NA>12169관광호텔업<NA>
252253관광숙박업03_11_01_P3250000CDFI226003198900000119890111<NA>1영업/정상13영업중<NA><NA><NA><NA>051-253-0371<NA>600045부산광역시 중구 남포동5가 80-1부산광역시 중구 자갈치로47번길 3-1 (남포동5가)48983호텔노아20201226161849U2020-12-29 02:40:00.0<NA>384966.283935179482.336623관광숙박업관광사업<NA>10<NA><NA><NA><NA>9151<NA>CORP. KYUNG WON, HOTEL NOAHTOURIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>3186.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3187관광호텔업<NA>
253254관광숙박업03_11_01_P3250000CDFI226003197800000119780515<NA>1영업/정상13영업중<NA><NA><NA><NA>051-250-6002<NA><NA>부산광역시 중구 동광동3가 20부산광역시 중구 백산길 20 (동광동3가, 타워호텔)48951타워힐관광호텔20201226161825U2020-12-29 02:40:00.0<NA>385421.890633179905.806117관광숙박업관광사업<NA>7<NA><NA><NA><NA>61116<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5658.34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5658관광호텔업<NA>
254255관광숙박업03_11_01_P3250000CDFI226003197400000219740907<NA>1영업/정상13영업중<NA><NA><NA><NA>051-241-4301<NA>600022부산광역시 중구 동광동2가 12-1부산광역시 중구 광복로97번길 23 (동광동2가)48951(주)부산관광호텔20201226162040U2020-12-29 02:40:00.0<NA>385447.404485179824.590338관광숙박업관광사업<NA>14<NA><NA><NA><NA>14<NA>273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16395.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16395관광호텔업<NA>
255256관광숙박업03_11_01_P3250000CDFI226003201900000120191112<NA>1영업/정상13영업중<NA><NA><NA><NA>051-246-3657<NA><NA>부산광역시 중구 중앙동1가 21-12번지부산광역시 중구 중앙대로41번길 3-1 (중앙동1가)48957수이호스텔20191206093553U2019-12-08 02:40:00.0<NA>385574.520466179902.860301관광숙박업<NA>일반상업지역5<NA><NA>현대해상숙박시설5<NA>7530<NA><NA><NA><NA><NA><NA><NA><NA><NA>530.39<NA><NA><NA><NA><NA><NA><NA><NA>1500000000<NA><NA><NA>530호스텔업<NA>