Overview

Dataset statistics

Number of variables48
Number of observations3080
Missing cells36987
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory414.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123111

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
전통업소지정번호 has constant value ""Constant
남성종사자수 is highly imbalanced (57.3%)Imbalance
영업장주변구분명 is highly imbalanced (52.1%)Imbalance
등급구분명 is highly imbalanced (56.9%)Imbalance
본사종업원수 is highly imbalanced (98.3%)Imbalance
공장사무직종업원수 is highly imbalanced (98.3%)Imbalance
공장판매직종업원수 is highly imbalanced (98.3%)Imbalance
공장생산직종업원수 is highly imbalanced (98.3%)Imbalance
보증액 is highly imbalanced (98.3%)Imbalance
월세액 is highly imbalanced (98.3%)Imbalance
다중이용업소여부 is highly imbalanced (88.4%)Imbalance
인허가취소일자 has 3080 (100.0%) missing valuesMissing
폐업일자 has 1173 (38.1%) missing valuesMissing
휴업시작일자 has 3080 (100.0%) missing valuesMissing
휴업종료일자 has 3080 (100.0%) missing valuesMissing
재개업일자 has 3080 (100.0%) missing valuesMissing
소재지전화 has 1068 (34.7%) missing valuesMissing
소재지면적 has 195 (6.3%) missing valuesMissing
소재지우편번호 has 50 (1.6%) missing valuesMissing
도로명전체주소 has 759 (24.6%) missing valuesMissing
도로명우편번호 has 789 (25.6%) missing valuesMissing
좌표정보(x) has 80 (2.6%) missing valuesMissing
좌표정보(y) has 80 (2.6%) missing valuesMissing
여성종사자수 has 1987 (64.5%) missing valuesMissing
총종업원수 has 3080 (100.0%) missing valuesMissing
건물소유구분명 has 3080 (100.0%) missing valuesMissing
전통업소지정번호 has 3079 (> 99.9%) missing valuesMissing
전통업소주된음식 has 3080 (100.0%) missing valuesMissing
홈페이지 has 3080 (100.0%) missing valuesMissing
Unnamed: 47 has 3080 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 has 998 (32.4%) zerosZeros
시설총규모 has 227 (7.4%) zerosZeros

Reproduction

Analysis started2024-04-17 18:58:32.474688
Analysis finished2024-04-17 18:58:33.592812
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3080
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1540.5
Minimum1
Maximum3080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:33.646695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile154.95
Q1770.75
median1540.5
Q32310.25
95-th percentile2926.05
Maximum3080
Range3079
Interquartile range (IQR)1539.5

Descriptive statistics

Standard deviation889.26374
Coefficient of variation (CV)0.57725657
Kurtosis-1.2
Mean1540.5
Median Absolute Deviation (MAD)770
Skewness0
Sum4744740
Variance790790
MonotonicityStrictly increasing
2024-04-18T03:58:33.755787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2119 1
 
< 0.1%
2049 1
 
< 0.1%
2050 1
 
< 0.1%
2051 1
 
< 0.1%
2052 1
 
< 0.1%
2053 1
 
< 0.1%
2054 1
 
< 0.1%
2055 1
 
< 0.1%
2056 1
 
< 0.1%
Other values (3070) 3070
99.7%
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 (%)
3080 1
< 0.1%
3079 1
< 0.1%
3078 1
< 0.1%
3077 1
< 0.1%
3076 1
< 0.1%
3075 1
< 0.1%
3074 1
< 0.1%
3073 1
< 0.1%
3072 1
< 0.1%
3071 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
제과점영업
3080 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3080
100.0%

Length

2024-04-18T03:58:33.859499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:33.927489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3080
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
07_22_18_P
3080 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_18_P
2nd row07_22_18_P
3rd row07_22_18_P
4th row07_22_18_P
5th row07_22_18_P

Common Values

ValueCountFrequency (%)
07_22_18_P 3080
100.0%

Length

2024-04-18T03:58:33.998791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:34.069488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 3080
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3327772.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:34.137287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation39007.336
Coefficient of variation (CV)0.011721755
Kurtosis-0.73780905
Mean3327772.7
Median Absolute Deviation (MAD)30000
Skewness0.011519728
Sum1.024954 × 1010
Variance1.5215722 × 109
MonotonicityNot monotonic
2024-04-18T03:58:34.226662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 432
14.0%
3290000 323
10.5%
3300000 281
9.1%
3340000 274
8.9%
3310000 224
 
7.3%
3350000 221
 
7.2%
3370000 206
 
6.7%
3320000 204
 
6.6%
3380000 177
 
5.7%
3390000 166
 
5.4%
Other values (6) 572
18.6%
ValueCountFrequency (%)
3250000 109
 
3.5%
3260000 92
 
3.0%
3270000 93
 
3.0%
3280000 71
 
2.3%
3290000 323
10.5%
3300000 281
9.1%
3310000 224
7.3%
3320000 204
6.6%
3330000 432
14.0%
3340000 274
8.9%
ValueCountFrequency (%)
3400000 122
 
4.0%
3390000 166
 
5.4%
3380000 177
5.7%
3370000 206
6.7%
3360000 85
 
2.8%
3350000 221
7.2%
3340000 274
8.9%
3330000 432
14.0%
3320000 204
6.6%
3310000 224
7.3%

관리번호
Text

UNIQUE 

Distinct3080
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
2024-04-18T03:58:34.383845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters67760
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3080 ?
Unique (%)100.0%

Sample

1st row3330000-121-2020-00029
2nd row3330000-121-2020-00024
3rd row3330000-121-2020-00028
4th row3330000-121-2020-00027
5th row3310000-121-2018-00016
ValueCountFrequency (%)
3330000-121-2020-00029 1
 
< 0.1%
3350000-121-1991-00691 1
 
< 0.1%
3270000-121-2017-00002 1
 
< 0.1%
3330000-121-2008-00005 1
 
< 0.1%
3370000-121-2017-00002 1
 
< 0.1%
3370000-121-2017-00001 1
 
< 0.1%
3370000-121-2016-00008 1
 
< 0.1%
3370000-121-2016-00007 1
 
< 0.1%
3330000-121-2008-00012 1
 
< 0.1%
3330000-121-2008-00011 1
 
< 0.1%
Other values (3070) 3070
99.7%
2024-04-18T03:58:34.645512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27384
40.4%
1 9794
 
14.5%
- 9240
 
13.6%
2 7430
 
11.0%
3 6525
 
9.6%
9 2202
 
3.2%
4 1187
 
1.8%
5 1091
 
1.6%
8 1032
 
1.5%
7 1002
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58520
86.4%
Dash Punctuation 9240
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27384
46.8%
1 9794
 
16.7%
2 7430
 
12.7%
3 6525
 
11.2%
9 2202
 
3.8%
4 1187
 
2.0%
5 1091
 
1.9%
8 1032
 
1.8%
7 1002
 
1.7%
6 873
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27384
40.4%
1 9794
 
14.5%
- 9240
 
13.6%
2 7430
 
11.0%
3 6525
 
9.6%
9 2202
 
3.2%
4 1187
 
1.8%
5 1091
 
1.6%
8 1032
 
1.5%
7 1002
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27384
40.4%
1 9794
 
14.5%
- 9240
 
13.6%
2 7430
 
11.0%
3 6525
 
9.6%
9 2202
 
3.2%
4 1187
 
1.8%
5 1091
 
1.6%
8 1032
 
1.5%
7 1002
 
1.5%

인허가일자
Real number (ℝ)

Distinct2420
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20073435
Minimum19631010
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:34.964978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19631010
5-th percentile19870711
Q120011030
median20100128
Q320151201
95-th percentile20191106
Maximum20201231
Range570221
Interquartile range (IQR)140171.25

Descriptive statistics

Standard deviation101157.97
Coefficient of variation (CV)0.0050393952
Kurtosis0.66708406
Mean20073435
Median Absolute Deviation (MAD)60894
Skewness-0.98992548
Sum6.1826179 × 1010
Variance1.0232935 × 1010
MonotonicityNot monotonic
2024-04-18T03:58:35.067492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090212 9
 
0.3%
20181002 6
 
0.2%
20140410 6
 
0.2%
20090120 5
 
0.2%
20100531 5
 
0.2%
20101027 5
 
0.2%
20060904 4
 
0.1%
20110309 4
 
0.1%
20160318 4
 
0.1%
19921026 4
 
0.1%
Other values (2410) 3028
98.3%
ValueCountFrequency (%)
19631010 2
0.1%
19651024 1
 
< 0.1%
19660916 1
 
< 0.1%
19680422 3
0.1%
19680716 1
 
< 0.1%
19691007 1
 
< 0.1%
19701031 1
 
< 0.1%
19711230 1
 
< 0.1%
19721220 1
 
< 0.1%
19730303 1
 
< 0.1%
ValueCountFrequency (%)
20201231 1
 
< 0.1%
20201230 1
 
< 0.1%
20201228 2
0.1%
20201222 1
 
< 0.1%
20201221 3
0.1%
20201214 1
 
< 0.1%
20201209 1
 
< 0.1%
20201208 2
0.1%
20201204 3
0.1%
20201202 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
3
1907 
1
1173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1907
61.9%
1 1173
38.1%

Length

2024-04-18T03:58:35.183680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:35.264807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1907
61.9%
1 1173
38.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
폐업
1907 
영업/정상
1173 

Length

Max length5
Median length2
Mean length3.1425325
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1907
61.9%
영업/정상 1173
38.1%

Length

2024-04-18T03:58:35.346561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:35.418965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1907
61.9%
영업/정상 1173
38.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
2
1907 
1
1173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1907
61.9%
1 1173
38.1%

Length

2024-04-18T03:58:35.496598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:35.569747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1907
61.9%
1 1173
38.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
폐업
1907 
영업
1173 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1907
61.9%
영업 1173
38.1%

Length

2024-04-18T03:58:35.648735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:35.725878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1907
61.9%
영업 1173
38.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1345
Distinct (%)70.5%
Missing1173
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean20134769
Minimum19950703
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:35.821022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950703
5-th percentile20060412
Q120100420
median20131227
Q320171014
95-th percentile20200315
Maximum20201230
Range250527
Interquartile range (IQR)70594.5

Descriptive statistics

Standard deviation44540.693
Coefficient of variation (CV)0.0022121283
Kurtosis-1.0153655
Mean20134769
Median Absolute Deviation (MAD)39389
Skewness-0.23289871
Sum3.8397005 × 1010
Variance1.9838733 × 109
MonotonicityNot monotonic
2024-04-18T03:58:35.937539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060216 31
 
1.0%
20170131 24
 
0.8%
20181220 16
 
0.5%
20060412 15
 
0.5%
20130607 14
 
0.5%
20130409 11
 
0.4%
20130614 9
 
0.3%
20170321 9
 
0.3%
20070126 7
 
0.2%
20140630 6
 
0.2%
Other values (1335) 1765
57.3%
(Missing) 1173
38.1%
ValueCountFrequency (%)
19950703 1
< 0.1%
19991221 1
< 0.1%
20050114 1
< 0.1%
20050805 1
< 0.1%
20050818 1
< 0.1%
20050920 1
< 0.1%
20050922 1
< 0.1%
20050930 1
< 0.1%
20051004 1
< 0.1%
20051027 1
< 0.1%
ValueCountFrequency (%)
20201230 2
0.1%
20201229 3
0.1%
20201225 3
0.1%
20201224 1
 
< 0.1%
20201221 4
0.1%
20201214 2
0.1%
20201207 1
 
< 0.1%
20201206 1
 
< 0.1%
20201125 1
 
< 0.1%
20201117 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

소재지전화
Text

MISSING 

Distinct1769
Distinct (%)87.9%
Missing1068
Missing (%)34.7%
Memory size24.2 KiB
2024-04-18T03:58:36.187776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.690358
Min length3

Characters and Unicode

Total characters21509
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1700 ?
Unique (%)84.5%

Sample

1st row051 6111161
2nd row051 203 2013
3rd row051 6241010
4th row051 997 5515
5th row051 628 0915
ValueCountFrequency (%)
051 1783
39.2%
070 44
 
1.0%
727 20
 
0.4%
02 20
 
0.4%
728 12
 
0.3%
242 11
 
0.2%
203 10
 
0.2%
255 10
 
0.2%
330 9
 
0.2%
853 9
 
0.2%
Other values (1982) 2624
57.6%
2024-04-18T03:58:36.544744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3534
16.4%
5 3454
16.1%
1 3144
14.6%
2572
12.0%
2 1748
8.1%
7 1323
 
6.2%
3 1292
 
6.0%
8 1263
 
5.9%
6 1169
 
5.4%
4 1165
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18937
88.0%
Space Separator 2572
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3534
18.7%
5 3454
18.2%
1 3144
16.6%
2 1748
9.2%
7 1323
 
7.0%
3 1292
 
6.8%
8 1263
 
6.7%
6 1169
 
6.2%
4 1165
 
6.2%
9 845
 
4.5%
Space Separator
ValueCountFrequency (%)
2572
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3534
16.4%
5 3454
16.1%
1 3144
14.6%
2572
12.0%
2 1748
8.1%
7 1323
 
6.2%
3 1292
 
6.0%
8 1263
 
5.9%
6 1169
 
5.4%
4 1165
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3534
16.4%
5 3454
16.1%
1 3144
14.6%
2572
12.0%
2 1748
8.1%
7 1323
 
6.2%
3 1292
 
6.0%
8 1263
 
5.9%
6 1169
 
5.4%
4 1165
 
5.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct2100
Distinct (%)72.8%
Missing195
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean53.26888
Minimum0
Maximum780.5
Zeros22
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:36.680178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q124
median39
Q365.79
95-th percentile138.366
Maximum780.5
Range780.5
Interquartile range (IQR)41.79

Descriptive statistics

Standard deviation53.198005
Coefficient of variation (CV)0.99866948
Kurtosis42.923714
Mean53.26888
Median Absolute Deviation (MAD)18.36
Skewness4.7021715
Sum153680.72
Variance2830.0278
MonotonicityNot monotonic
2024-04-18T03:58:36.792476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
0.7%
24.0 17
 
0.6%
33.0 17
 
0.6%
20.0 12
 
0.4%
36.0 11
 
0.4%
30.0 11
 
0.4%
42.0 11
 
0.4%
25.0 10
 
0.3%
26.0 10
 
0.3%
15.0 10
 
0.3%
Other values (2090) 2754
89.4%
(Missing) 195
 
6.3%
ValueCountFrequency (%)
0.0 22
0.7%
0.25 1
 
< 0.1%
0.7 1
 
< 0.1%
0.9 1
 
< 0.1%
0.91 1
 
< 0.1%
1.0 5
 
0.2%
1.2 1
 
< 0.1%
1.21 2
 
0.1%
1.4 1
 
< 0.1%
1.49 1
 
< 0.1%
ValueCountFrequency (%)
780.5 1
< 0.1%
722.81 1
< 0.1%
695.26 1
< 0.1%
691.9 1
< 0.1%
605.0 1
< 0.1%
415.71 1
< 0.1%
395.77 1
< 0.1%
356.96 1
< 0.1%
335.04 1
< 0.1%
322.42 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct652
Distinct (%)21.5%
Missing50
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean610905.65
Minimum600012
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:36.926371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile601808.45
Q1607815
median611823
Q3614821
95-th percentile618200
Maximum619953
Range19941
Interquartile range (IQR)7006

Descriptive statistics

Standard deviation5012.387
Coefficient of variation (CV)0.0082048464
Kurtosis-0.6693983
Mean610905.65
Median Absolute Deviation (MAD)3043.5
Skewness-0.31405951
Sum1.8510441 × 109
Variance25124024
MonotonicityNot monotonic
2024-04-18T03:58:37.036416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 94
 
3.1%
612824 30
 
1.0%
616852 28
 
0.9%
608832 27
 
0.9%
618200 26
 
0.8%
618814 25
 
0.8%
617808 25
 
0.8%
607815 24
 
0.8%
607831 23
 
0.7%
604851 23
 
0.7%
Other values (642) 2705
87.8%
(Missing) 50
 
1.6%
ValueCountFrequency (%)
600012 1
 
< 0.1%
600016 1
 
< 0.1%
600017 21
0.7%
600021 3
 
0.1%
600022 1
 
< 0.1%
600025 2
 
0.1%
600032 2
 
0.1%
600033 1
 
< 0.1%
600041 3
 
0.1%
600042 3
 
0.1%
ValueCountFrequency (%)
619953 3
 
0.1%
619952 4
 
0.1%
619951 3
 
0.1%
619913 1
 
< 0.1%
619912 7
0.2%
619911 2
 
0.1%
619906 3
 
0.1%
619905 15
0.5%
619904 1
 
< 0.1%
619903 13
0.4%

소재지전체주소
Text

Distinct2756
Distinct (%)89.7%
Missing7
Missing (%)0.2%
Memory size24.2 KiB
2024-04-18T03:58:37.291221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length50
Mean length25.238855
Min length16

Characters and Unicode

Total characters77559
Distinct characters418
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

Unique2563 ?
Unique (%)83.4%

Sample

1st row부산광역시 해운대구 우동 1495 신세계백화점센텀시티점
2nd row부산광역시 해운대구 우동 1500 벡스코
3rd row부산광역시 해운대구 우동 1495 신세계백화점센텀시티점
4th row부산광역시 해운대구 우동 1495 신세계백화점센텀시티점
5th row부산광역시 남구 용호동 954번지 더블유
ValueCountFrequency (%)
부산광역시 3073
 
21.2%
해운대구 431
 
3.0%
부산진구 323
 
2.2%
동래구 281
 
1.9%
사하구 272
 
1.9%
남구 224
 
1.5%
금정구 221
 
1.5%
연제구 206
 
1.4%
북구 203
 
1.4%
수영구 177
 
1.2%
Other values (3596) 9074
62.6%
2024-04-18T03:58:37.667294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11421
 
14.7%
1 4004
 
5.2%
부 3766
 
4.9%
산 3697
 
4.8%
동 3652
 
4.7%
지 3233
 
4.2%
광 3180
 
4.1%
시 3161
 
4.1%
역 3098
 
4.0%
구 3047
 
3.9%
Other values (408) 35300
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46907
60.5%
Decimal Number 15839
 
20.4%
Space Separator 11421
 
14.7%
Dash Punctuation 2584
 
3.3%
Open Punctuation 217
 
0.3%
Close Punctuation 214
 
0.3%
Uppercase Letter 180
 
0.2%
Other Punctuation 171
 
0.2%
Lowercase Letter 17
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3766
 
8.0%
산 3697
 
7.9%
동 3652
 
7.8%
지 3233
 
6.9%
광 3180
 
6.8%
시 3161
 
6.7%
역 3098
 
6.6%
구 3047
 
6.5%
번 2869
 
6.1%
대 763
 
1.6%
Other values (357) 16441
35.1%
Uppercase Letter
ValueCountFrequency (%)
B 34
18.9%
A 26
14.4%
S 26
14.4%
G 18
10.0%
K 15
8.3%
C 13
 
7.2%
P 6
 
3.3%
T 5
 
2.8%
L 5
 
2.8%
H 4
 
2.2%
Other values (13) 28
15.6%
Decimal Number
ValueCountFrequency (%)
1 4004
25.3%
2 2093
13.2%
3 1630
10.3%
4 1447
 
9.1%
5 1399
 
8.8%
0 1280
 
8.1%
6 1074
 
6.8%
7 1065
 
6.7%
9 944
 
6.0%
8 903
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 146
85.4%
. 12
 
7.0%
@ 8
 
4.7%
/ 3
 
1.8%
· 1
 
0.6%
: 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
35.3%
s 4
23.5%
l 3
17.6%
k 3
17.6%
i 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 216
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 213
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
11421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2584
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46907
60.5%
Common 30455
39.3%
Latin 197
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3766
 
8.0%
산 3697
 
7.9%
동 3652
 
7.8%
지 3233
 
6.9%
광 3180
 
6.8%
시 3161
 
6.7%
역 3098
 
6.6%
구 3047
 
6.5%
번 2869
 
6.1%
대 763
 
1.6%
Other values (357) 16441
35.1%
Latin
ValueCountFrequency (%)
B 34
17.3%
A 26
13.2%
S 26
13.2%
G 18
9.1%
K 15
 
7.6%
C 13
 
6.6%
P 6
 
3.0%
e 6
 
3.0%
T 5
 
2.5%
L 5
 
2.5%
Other values (18) 43
21.8%
Common
ValueCountFrequency (%)
11421
37.5%
1 4004
 
13.1%
- 2584
 
8.5%
2 2093
 
6.9%
3 1630
 
5.4%
4 1447
 
4.8%
5 1399
 
4.6%
0 1280
 
4.2%
6 1074
 
3.5%
7 1065
 
3.5%
Other values (13) 2458
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46907
60.5%
ASCII 30651
39.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11421
37.3%
1 4004
 
13.1%
- 2584
 
8.4%
2 2093
 
6.8%
3 1630
 
5.3%
4 1447
 
4.7%
5 1399
 
4.6%
0 1280
 
4.2%
6 1074
 
3.5%
7 1065
 
3.5%
Other values (40) 2654
 
8.7%
Hangul
ValueCountFrequency (%)
부 3766
 
8.0%
산 3697
 
7.9%
동 3652
 
7.8%
지 3233
 
6.9%
광 3180
 
6.8%
시 3161
 
6.7%
역 3098
 
6.6%
구 3047
 
6.5%
번 2869
 
6.1%
대 763
 
1.6%
Other values (357) 16441
35.1%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2188
Distinct (%)94.3%
Missing759
Missing (%)24.6%
Memory size24.2 KiB
2024-04-18T03:58:37.956523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length32.326583
Min length20

Characters and Unicode

Total characters75030
Distinct characters448
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2119 ?
Unique (%)91.3%

Sample

1st row부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)
2nd row부산광역시 해운대구 APEC로 55, 벡스코 제1전시장 (우동)
3rd row부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)
4th row부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)
5th row부산광역시 남구 분포로 145, 1층 1201호 (용호동, 더블유)
ValueCountFrequency (%)
부산광역시 2321
 
16.1%
1층 599
 
4.2%
해운대구 355
 
2.5%
부산진구 245
 
1.7%
사하구 205
 
1.4%
동래구 195
 
1.4%
남구 173
 
1.2%
금정구 157
 
1.1%
우동 150
 
1.0%
북구 145
 
1.0%
Other values (2716) 9839
68.4%
2024-04-18T03:58:38.370570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12077
 
16.1%
1 3481
 
4.6%
동 3076
 
4.1%
부 2983
 
4.0%
산 2809
 
3.7%
시 2538
 
3.4%
광 2481
 
3.3%
( 2355
 
3.1%
) 2351
 
3.1%
역 2341
 
3.1%
Other values (438) 38538
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44298
59.0%
Space Separator 12077
 
16.1%
Decimal Number 11329
 
15.1%
Open Punctuation 2356
 
3.1%
Close Punctuation 2352
 
3.1%
Other Punctuation 2060
 
2.7%
Dash Punctuation 288
 
0.4%
Uppercase Letter 241
 
0.3%
Math Symbol 15
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3076
 
6.9%
부 2983
 
6.7%
산 2809
 
6.3%
시 2538
 
5.7%
광 2481
 
5.6%
역 2341
 
5.3%
구 2337
 
5.3%
로 2305
 
5.2%
대 1350
 
3.0%
층 1071
 
2.4%
Other values (388) 21007
47.4%
Uppercase Letter
ValueCountFrequency (%)
A 46
19.1%
B 40
16.6%
C 28
11.6%
S 26
10.8%
P 18
 
7.5%
E 18
 
7.5%
G 17
 
7.1%
K 13
 
5.4%
H 5
 
2.1%
T 4
 
1.7%
Other values (13) 26
10.8%
Decimal Number
ValueCountFrequency (%)
1 3481
30.7%
2 1596
14.1%
3 1119
 
9.9%
0 1028
 
9.1%
4 865
 
7.6%
5 816
 
7.2%
6 706
 
6.2%
7 666
 
5.9%
8 552
 
4.9%
9 500
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 2045
99.3%
. 9
 
0.4%
@ 4
 
0.2%
/ 1
 
< 0.1%
* 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
42.9%
s 3
21.4%
k 2
 
14.3%
l 2
 
14.3%
i 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 2355
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2351
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44298
59.0%
Common 30477
40.6%
Latin 255
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3076
 
6.9%
부 2983
 
6.7%
산 2809
 
6.3%
시 2538
 
5.7%
광 2481
 
5.6%
역 2341
 
5.3%
구 2337
 
5.3%
로 2305
 
5.2%
대 1350
 
3.0%
층 1071
 
2.4%
Other values (388) 21007
47.4%
Latin
ValueCountFrequency (%)
A 46
18.0%
B 40
15.7%
C 28
11.0%
S 26
10.2%
P 18
 
7.1%
E 18
 
7.1%
G 17
 
6.7%
K 13
 
5.1%
e 6
 
2.4%
H 5
 
2.0%
Other values (18) 38
14.9%
Common
ValueCountFrequency (%)
12077
39.6%
1 3481
 
11.4%
( 2355
 
7.7%
) 2351
 
7.7%
, 2045
 
6.7%
2 1596
 
5.2%
3 1119
 
3.7%
0 1028
 
3.4%
4 865
 
2.8%
5 816
 
2.7%
Other values (12) 2744
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44298
59.0%
ASCII 30732
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12077
39.3%
1 3481
 
11.3%
( 2355
 
7.7%
) 2351
 
7.7%
, 2045
 
6.7%
2 1596
 
5.2%
3 1119
 
3.6%
0 1028
 
3.3%
4 865
 
2.8%
5 816
 
2.7%
Other values (40) 2999
 
9.8%
Hangul
ValueCountFrequency (%)
동 3076
 
6.9%
부 2983
 
6.7%
산 2809
 
6.3%
시 2538
 
5.7%
광 2481
 
5.6%
역 2341
 
5.3%
구 2337
 
5.3%
로 2305
 
5.2%
대 1350
 
3.0%
층 1071
 
2.4%
Other values (388) 21007
47.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct924
Distinct (%)40.3%
Missing789
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean47807.109
Minimum46002
Maximum49525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:38.483588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46224
Q147038
median47903
Q348508.5
95-th percentile49389
Maximum49525
Range3523
Interquartile range (IQR)1470.5

Descriptive statistics

Standard deviation986.44669
Coefficient of variation (CV)0.020633891
Kurtosis-0.9569638
Mean47807.109
Median Absolute Deviation (MAD)716
Skewness-0.076450245
Sum1.0952609 × 108
Variance973077.07
MonotonicityNot monotonic
2024-04-18T03:58:38.600913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 66
 
2.1%
46726 28
 
0.9%
46291 22
 
0.7%
48944 20
 
0.6%
48735 20
 
0.6%
48515 19
 
0.6%
47285 19
 
0.6%
48060 16
 
0.5%
48059 14
 
0.5%
47710 13
 
0.4%
Other values (914) 2054
66.7%
(Missing) 789
 
25.6%
ValueCountFrequency (%)
46002 1
 
< 0.1%
46007 3
 
0.1%
46008 7
0.2%
46012 2
 
0.1%
46013 4
 
0.1%
46015 13
0.4%
46016 1
 
< 0.1%
46017 5
 
0.2%
46019 1
 
< 0.1%
46021 1
 
< 0.1%
ValueCountFrequency (%)
49525 1
 
< 0.1%
49524 2
 
0.1%
49521 1
 
< 0.1%
49520 6
0.2%
49519 8
0.3%
49518 3
 
0.1%
49515 1
 
< 0.1%
49511 2
 
0.1%
49509 1
 
< 0.1%
49505 3
 
0.1%

사업장명
Text

Distinct2492
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
2024-04-18T03:58:38.848424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length7.325974
Min length2

Characters and Unicode

Total characters22564
Distinct characters682
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

Unique2210 ?
Unique (%)71.8%

Sample

1st row더메나쥬리 센텀점
2nd row세자매바른빵
3rd row움트
4th row파티세리 몽슈슈 현대백화점 판교점
5th row오브네
ValueCountFrequency (%)
파리바게뜨 110
 
2.8%
베이커리 105
 
2.6%
뚜레쥬르 72
 
1.8%
파리바게트 49
 
1.2%
몽블랑제 37
 
0.9%
과자점 33
 
0.8%
탑베이커리 25
 
0.6%
탑스베이커리 20
 
0.5%
크라운베이커리 16
 
0.4%
프레제 16
 
0.4%
Other values (2575) 3491
87.8%
2024-04-18T03:58:39.207975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1182
 
5.2%
점 1063
 
4.7%
894
 
4.0%
이 877
 
3.9%
베 642
 
2.8%
커 588
 
2.6%
과 456
 
2.0%
스 433
 
1.9%
제 404
 
1.8%
파 370
 
1.6%
Other values (672) 15655
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19796
87.7%
Space Separator 894
 
4.0%
Lowercase Letter 591
 
2.6%
Uppercase Letter 400
 
1.8%
Close Punctuation 333
 
1.5%
Open Punctuation 326
 
1.4%
Decimal Number 174
 
0.8%
Other Punctuation 38
 
0.2%
Dash Punctuation 7
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1182
 
6.0%
점 1063
 
5.4%
이 877
 
4.4%
베 642
 
3.2%
커 588
 
3.0%
과 456
 
2.3%
스 433
 
2.2%
제 404
 
2.0%
파 370
 
1.9%
레 334
 
1.7%
Other values (602) 13447
67.9%
Lowercase Letter
ValueCountFrequency (%)
e 99
16.8%
a 63
 
10.7%
r 42
 
7.1%
o 42
 
7.1%
i 41
 
6.9%
s 38
 
6.4%
n 35
 
5.9%
t 26
 
4.4%
k 23
 
3.9%
l 23
 
3.9%
Other values (15) 159
26.9%
Uppercase Letter
ValueCountFrequency (%)
B 39
 
9.8%
S 34
 
8.5%
A 31
 
7.8%
E 29
 
7.2%
R 22
 
5.5%
I 20
 
5.0%
O 20
 
5.0%
T 20
 
5.0%
P 20
 
5.0%
K 19
 
4.8%
Other values (14) 146
36.5%
Decimal Number
ValueCountFrequency (%)
2 52
29.9%
1 36
20.7%
3 20
 
11.5%
0 17
 
9.8%
5 14
 
8.0%
9 10
 
5.7%
7 9
 
5.2%
4 8
 
4.6%
8 6
 
3.4%
6 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 14
36.8%
' 10
26.3%
. 9
23.7%
, 4
 
10.5%
; 1
 
2.6%
Space Separator
ValueCountFrequency (%)
894
100.0%
Close Punctuation
ValueCountFrequency (%)
) 333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19791
87.7%
Common 1774
 
7.9%
Latin 994
 
4.4%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1182
 
6.0%
점 1063
 
5.4%
이 877
 
4.4%
베 642
 
3.2%
커 588
 
3.0%
과 456
 
2.3%
스 433
 
2.2%
제 404
 
2.0%
파 370
 
1.9%
레 334
 
1.7%
Other values (597) 13442
67.9%
Latin
ValueCountFrequency (%)
e 99
 
10.0%
a 63
 
6.3%
r 42
 
4.2%
o 42
 
4.2%
i 41
 
4.1%
B 39
 
3.9%
s 38
 
3.8%
n 35
 
3.5%
S 34
 
3.4%
A 31
 
3.1%
Other values (40) 530
53.3%
Common
ValueCountFrequency (%)
894
50.4%
) 333
 
18.8%
( 326
 
18.4%
2 52
 
2.9%
1 36
 
2.0%
3 20
 
1.1%
0 17
 
1.0%
& 14
 
0.8%
5 14
 
0.8%
' 10
 
0.6%
Other values (10) 58
 
3.3%
Han
ValueCountFrequency (%)
美 1
20.0%
溫 1
20.0%
年 1
20.0%
華 1
20.0%
情 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19791
87.7%
ASCII 2765
 
12.3%
CJK 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1182
 
6.0%
점 1063
 
5.4%
이 877
 
4.4%
베 642
 
3.2%
커 588
 
3.0%
과 456
 
2.3%
스 433
 
2.2%
제 404
 
2.0%
파 370
 
1.9%
레 334
 
1.7%
Other values (597) 13442
67.9%
ASCII
ValueCountFrequency (%)
894
32.3%
) 333
 
12.0%
( 326
 
11.8%
e 99
 
3.6%
a 63
 
2.3%
2 52
 
1.9%
r 42
 
1.5%
o 42
 
1.5%
i 41
 
1.5%
B 39
 
1.4%
Other values (59) 834
30.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
CJK
ValueCountFrequency (%)
美 1
25.0%
溫 1
25.0%
華 1
25.0%
情 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
年 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2837
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0136426 × 1013
Minimum1.9990303 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:39.320163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990303 × 1013
5-th percentile2.0020802 × 1013
Q12.0091228 × 1013
median2.0151021 × 1013
Q32.0190415 × 1013
95-th percentile2.0200901 × 1013
Maximum2.0201231 × 1013
Range2.1092815 × 1011
Interquartile range (IQR)9.9187035 × 1010

Descriptive statistics

Standard deviation5.9096485 × 1010
Coefficient of variation (CV)0.0029348051
Kurtosis-0.6164339
Mean2.0136426 × 1013
Median Absolute Deviation (MAD)3.9986517 × 1010
Skewness-0.72173612
Sum6.2020191 × 1016
Variance3.4923945 × 1021
MonotonicityNot monotonic
2024-04-18T03:58:39.451152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061226000000 26
 
0.8%
20040823000000 14
 
0.5%
20050615000000 14
 
0.5%
20050614000000 14
 
0.5%
19990318000000 14
 
0.5%
19990319000000 11
 
0.4%
20020802000000 10
 
0.3%
19990317000000 9
 
0.3%
20020801000000 8
 
0.3%
20050525000000 8
 
0.3%
Other values (2827) 2952
95.8%
ValueCountFrequency (%)
19990303000000 1
 
< 0.1%
19990315000000 6
0.2%
19990316000000 5
 
0.2%
19990317000000 9
0.3%
19990318000000 14
0.5%
19990319000000 11
0.4%
19990323000000 2
 
0.1%
19990324000000 1
 
< 0.1%
19990511000000 4
 
0.1%
19990520000000 1
 
< 0.1%
ValueCountFrequency (%)
20201231145103 1
< 0.1%
20201231135529 1
< 0.1%
20201230173824 1
< 0.1%
20201230154252 1
< 0.1%
20201230093110 1
< 0.1%
20201229175153 1
< 0.1%
20201229145618 1
< 0.1%
20201229113435 1
< 0.1%
20201228152315 1
< 0.1%
20201228132536 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
I
2186 
U
894 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2186
71.0%
U 894
29.0%

Length

2024-04-18T03:58:39.547582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:39.619503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2186
71.0%
u 894
29.0%

데이터갱신일자
Date

Distinct474
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-18T03:58:39.713185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:58:39.819974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
제과점영업
3080 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3080
100.0%

Length

2024-04-18T03:58:39.922824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:39.994033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3080
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2290
Distinct (%)76.3%
Missing80
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean388328.85
Minimum364927.7
Maximum407434.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:40.074175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364927.7
5-th percentile379287.62
Q1384098.73
median388817.38
Q3392147.89
95-th percentile398155.69
Maximum407434.69
Range42506.995
Interquartile range (IQR)8049.154

Descriptive statistics

Standard deviation5891.6813
Coefficient of variation (CV)0.015171886
Kurtosis0.25209806
Mean388328.85
Median Absolute Deviation (MAD)3690.9353
Skewness-0.067698159
Sum1.1649866 × 109
Variance34711908
MonotonicityNot monotonic
2024-04-18T03:58:40.170517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393952.264486105 60
 
1.9%
387271.299492377 24
 
0.8%
387539.767677801 21
 
0.7%
385590.814676765 19
 
0.6%
390120.394129863 15
 
0.5%
392474.578116018 13
 
0.4%
394482.139208377 12
 
0.4%
386163.228186082 12
 
0.4%
394083.501537578 12
 
0.4%
380225.635401772 12
 
0.4%
Other values (2280) 2800
90.9%
(Missing) 80
 
2.6%
ValueCountFrequency (%)
364927.696730227 1
< 0.1%
366829.531355754 1
< 0.1%
367205.763155348 1
< 0.1%
367397.014357092 1
< 0.1%
367451.087635496 1
< 0.1%
368045.907990854 1
< 0.1%
371173.90939644 1
< 0.1%
371211.777937641 1
< 0.1%
371278.227629686 1
< 0.1%
371290.690707476 1
< 0.1%
ValueCountFrequency (%)
407434.691805327 2
0.1%
407418.648415535 2
0.1%
407245.567193252 1
< 0.1%
407178.504808338 1
< 0.1%
407121.882187494 1
< 0.1%
405596.576299318 1
< 0.1%
405241.716598101 1
< 0.1%
404368.189766908 1
< 0.1%
403992.260361442 2
0.1%
403323.325916494 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2291
Distinct (%)76.4%
Missing80
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean187288.53
Minimum170813.58
Maximum206353.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:40.269310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum170813.58
5-th percentile178484.25
Q1183624.8
median187470.81
Q3190985.02
95-th percentile196668.14
Maximum206353.86
Range35540.271
Interquartile range (IQR)7360.214

Descriptive statistics

Standard deviation5862.6718
Coefficient of variation (CV)0.031302888
Kurtosis0.33841356
Mean187288.53
Median Absolute Deviation (MAD)3644.8406
Skewness0.33952735
Sum5.6186558 × 108
Variance34370920
MonotonicityNot monotonic
2024-04-18T03:58:40.608628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187602.933160728 60
 
1.9%
186099.137533193 24
 
0.8%
184402.96650913 21
 
0.7%
179553.867031936 19
 
0.6%
194600.671124104 15
 
0.5%
183052.21115244 13
 
0.4%
181532.301423753 12
 
0.4%
187707.586117775 12
 
0.4%
187606.035424193 12
 
0.4%
186791.519406736 12
 
0.4%
Other values (2281) 2800
90.9%
(Missing) 80
 
2.6%
ValueCountFrequency (%)
170813.584718477 1
< 0.1%
174096.498143437 1
< 0.1%
174097.616386311 1
< 0.1%
174140.916066183 1
< 0.1%
174156.617297535 1
< 0.1%
174173.508031304 1
< 0.1%
174211.496764498 1
< 0.1%
174289.976688419 1
< 0.1%
174307.148168245 1
< 0.1%
174422.480246459 2
0.1%
ValueCountFrequency (%)
206353.855586145 1
 
< 0.1%
206267.822551616 1
 
< 0.1%
206184.609573703 1
 
< 0.1%
206120.302153948 3
0.1%
206070.223360046 1
 
< 0.1%
206029.122466099 1
 
< 0.1%
206010.552884139 1
 
< 0.1%
205995.903772118 1
 
< 0.1%
205690.94819215 2
0.1%
205620.650144116 2
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
제과점영업
3080 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3080
100.0%

Length

2024-04-18T03:58:40.712030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:40.781936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3080
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
1992 
0
1002 
1
 
68
2
 
13
3
 
3

Length

Max length4
Median length4
Mean length2.9402597
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> 1992
64.7%
0 1002
32.5%
1 68
 
2.2%
2 13
 
0.4%
3 3
 
0.1%
4 2
 
0.1%

Length

2024-04-18T03:58:40.856154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:40.940590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1992
64.7%
0 1002
32.5%
1 68
 
2.2%
2 13
 
0.4%
3 3
 
0.1%
4 2
 
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing1987
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean0.11436414
Minimum0
Maximum11
Zeros998
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:41.018756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50155845
Coefficient of variation (CV)4.3856271
Kurtosis211.86283
Mean0.11436414
Median Absolute Deviation (MAD)0
Skewness11.380325
Sum125
Variance0.25156088
MonotonicityNot monotonic
2024-04-18T03:58:41.094497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 998
32.4%
1 79
 
2.6%
2 12
 
0.4%
4 2
 
0.1%
11 1
 
< 0.1%
3 1
 
< 0.1%
(Missing) 1987
64.5%
ValueCountFrequency (%)
0 998
32.4%
1 79
 
2.6%
2 12
 
0.4%
3 1
 
< 0.1%
4 2
 
0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
4 2
 
0.1%
3 1
 
< 0.1%
2 12
 
0.4%
1 79
 
2.6%
0 998
32.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
2071 
기타
718 
주택가주변
 
149
아파트지역
 
100
유흥업소밀집지역
 
30
Other values (2)
 
12

Length

Max length8
Median length4
Mean length3.6688312
Min length2

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> 2071
67.2%
기타 718
 
23.3%
주택가주변 149
 
4.8%
아파트지역 100
 
3.2%
유흥업소밀집지역 30
 
1.0%
학교정화(상대) 11
 
0.4%
결혼예식장주변 1
 
< 0.1%

Length

2024-04-18T03:58:41.184831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:41.270623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2071
67.2%
기타 718
 
23.3%
주택가주변 149
 
4.8%
아파트지역 100
 
3.2%
유흥업소밀집지역 30
 
1.0%
학교정화(상대 11
 
0.4%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
2221 
기타
603 
자율
250 
우수
 
3
지도
 
2

Length

Max length4
Median length4
Mean length3.4422078
Min length2

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> 2221
72.1%
기타 603
 
19.6%
자율 250
 
8.1%
우수 3
 
0.1%
지도 2
 
0.1%
관리 1
 
< 0.1%

Length

2024-04-18T03:58:41.372163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:41.462244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2221
72.1%
기타 603
 
19.6%
자율 250
 
8.1%
우수 3
 
0.1%
지도 2
 
0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
상수도전용
1606 
<NA>
1471 
간이상수도
 
2
지하수전용
 
1

Length

Max length5
Median length5
Mean length4.5224026
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 1606
52.1%
<NA> 1471
47.8%
간이상수도 2
 
0.1%
지하수전용 1
 
< 0.1%

Length

2024-04-18T03:58:41.559521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:41.639647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 1606
52.1%
na 1471
47.8%
간이상수도 2
 
0.1%
지하수전용 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
3075 
0
 
5

Length

Max length4
Median length4
Mean length3.9951299
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> 3075
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:41.729199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:41.804733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3075
99.8%
0 5
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
3075 
0
 
5

Length

Max length4
Median length4
Mean length3.9951299
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> 3075
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:41.891795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:41.968763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3075
99.8%
0 5
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
3075 
0
 
5

Length

Max length4
Median length4
Mean length3.9951299
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> 3075
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:42.050571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:42.130762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3075
99.8%
0 5
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
3075 
0
 
5

Length

Max length4
Median length4
Mean length3.9951299
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> 3075
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:42.212792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:42.300891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3075
99.8%
0 5
 
0.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
3075 
0
 
5

Length

Max length4
Median length4
Mean length3.9951299
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> 3075
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:42.393587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:42.484396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3075
99.8%
0 5
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
<NA>
3075 
0
 
5

Length

Max length4
Median length4
Mean length3.9951299
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> 3075
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:42.563944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:42.643716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3075
99.8%
0 5
 
0.2%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
False
3032 
True
 
48
ValueCountFrequency (%)
False 3032
98.4%
True 48
 
1.6%
2024-04-18T03:58:42.712878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct2096
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.762831
Minimum0
Maximum780.5
Zeros227
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2024-04-18T03:58:42.798107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.8325
median36.245
Q362.805
95-th percentile134.2525
Maximum780.5
Range780.5
Interquartile range (IQR)41.9725

Descriptive statistics

Standard deviation53.147763
Coefficient of variation (CV)1.0680213
Kurtosis41.418058
Mean49.762831
Median Absolute Deviation (MAD)19.445
Skewness4.5487194
Sum153269.52
Variance2824.6848
MonotonicityNot monotonic
2024-04-18T03:58:42.917988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 227
 
7.4%
24.0 17
 
0.6%
33.0 17
 
0.6%
20.0 12
 
0.4%
42.0 11
 
0.4%
30.0 11
 
0.4%
36.0 11
 
0.4%
25.0 10
 
0.3%
15.0 10
 
0.3%
26.0 10
 
0.3%
Other values (2086) 2744
89.1%
ValueCountFrequency (%)
0.0 227
7.4%
0.25 1
 
< 0.1%
0.7 1
 
< 0.1%
0.9 1
 
< 0.1%
0.91 1
 
< 0.1%
1.0 5
 
0.2%
1.2 1
 
< 0.1%
1.21 2
 
0.1%
1.4 1
 
< 0.1%
1.49 1
 
< 0.1%
ValueCountFrequency (%)
780.5 1
< 0.1%
722.81 1
< 0.1%
695.26 1
< 0.1%
691.9 1
< 0.1%
605.0 1
< 0.1%
415.71 1
< 0.1%
395.77 1
< 0.1%
356.96 1
< 0.1%
335.04 1
< 0.1%
322.42 1
< 0.1%

전통업소지정번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing3079
Missing (%)> 99.9%
Memory size24.2 KiB
2024-04-18T03:58:42.985327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row-+
ValueCountFrequency (%)
1
100.0%
2024-04-18T03:58:43.129041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1
50.0%
+ 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 1
50.0%
Math Symbol 1
50.0%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1
50.0%
+ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1
50.0%
+ 1
50.0%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3080
Missing (%)100.0%
Memory size27.2 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01제과점영업07_22_18_P33300003330000-121-2020-0002920201222<NA>3폐업2폐업20201225<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1495 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)48058더메나쥬리 센텀점20201226041508U2020-12-29 02:40:00.0제과점영업393952.264486187602.933161제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
12제과점영업07_22_18_P33300003330000-121-2020-0002420201202<NA>3폐업2폐업20201206<NA><NA><NA><NA><NA>612704부산광역시 해운대구 우동 1500 벡스코부산광역시 해운대구 APEC로 55, 벡스코 제1전시장 (우동)48060세자매바른빵20201207041509U2020-12-09 02:40:00.0제과점영업394482.139208187606.035424제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
23제과점영업07_22_18_P33300003330000-121-2020-0002820201221<NA>3폐업2폐업20201225<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1495 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)48058움트20201226041508U2020-12-29 02:40:00.0제과점영업393952.264486187602.933161제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
34제과점영업07_22_18_P33300003330000-121-2020-0002720201221<NA>3폐업2폐업20201225<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1495 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)48058파티세리 몽슈슈 현대백화점 판교점20201226041508U2020-12-29 02:40:00.0제과점영업393952.264486187602.933161제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
45제과점영업07_22_18_P33100003310000-121-2018-0001620181112<NA>3폐업2폐업20191112<NA><NA><NA><NA>6.0608090부산광역시 남구 용호동 954번지 더블유부산광역시 남구 분포로 145, 1층 1201호 (용호동, 더블유)48515오브네20191112152113U2019-11-14 02:40:00.0제과점영업392495.046848183633.944535제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N6.0<NA><NA><NA><NA>
56제과점영업07_22_18_P33800003380000-121-2018-0001120181221<NA>3폐업2폐업20190410<NA><NA><NA><NA>32.8613832부산광역시 수영구 수영동 483-7번지부산광역시 수영구 구락로 61, 1층 (수영동)48225골든벨베이커리20190410163618U2019-04-12 02:40:00.0제과점영업392819.056323187998.552611제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.8<NA><NA><NA><NA>
67제과점영업07_22_18_P33100003310000-121-2018-0001820181120<NA>3폐업2폐업20201221<NA><NA><NA>051 611116143.6608090부산광역시 남구 용호동 954 더블유부산광역시 남구 분포로 145, 더블유스퀘어동 2층 2045호 (용호동, 더블유)48515오연당용호W20201221150925U2020-12-23 02:40:00.0제과점영업392495.046848183633.944535제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N43.6<NA><NA><NA><NA>
78제과점영업07_22_18_P33800003380000-121-2018-0001020181126<NA>3폐업2폐업20181226<NA><NA><NA><NA>58.41613831부산광역시 수영구 수영동 465-19번지부산광역시 수영구 연수로357번길 17-10, 1층 (수영동)48231꽃피는4월밀익는5월20181226172125U2018-12-28 02:40:00.0제과점영업392172.553354187922.020585제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N58.41<NA><NA><NA><NA>
89제과점영업07_22_18_P33600003360000-121-2018-0000420181128<NA>3폐업2폐업20201207<NA><NA><NA>051 203 201326.62618200부산광역시 강서구 명지동 3361 에일린의뜰 상가동 101-1호부산광역시 강서구 명지국제5로 60, 상가동 1층 101-1호 (명지동, 에일린의뜰)46726더크로와상20201207105327U2020-12-09 02:40:00.0제과점영업375153.129347179525.873941제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.62<NA><NA><NA><NA>
910제과점영업07_22_18_P33100003310000-121-2016-0000120160325<NA>3폐업2폐업20181220<NA><NA><NA><NA>38.87608823부산광역시 남구 문현동 205-2번지 메가마트부산광역시 남구 수영로39번길 2-5 (문현동)48420본브레드 문현점20181220150804U2018-12-22 02:40:00.0제과점영업388831.511203184013.267839제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N38.87<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
30703071제과점영업07_22_18_P32600003260000-121-2007-0004020010519<NA>1영업/정상1영업<NA><NA><NA><NA>051 242 664223.77602825부산광역시 서구 서대신동3가 593-2번지부산광역시 서구 대티로 175 (서대신동3가)49210티라미슈베이커리20111230170918I2018-08-31 23:59:59.0제과점영업383423.411578181376.911829제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N23.77<NA><NA><NA><NA>
30713072제과점영업07_22_18_P32500003250000-121-2018-0000120180313<NA>1영업/정상1영업<NA><NA><NA><NA>051 6225300171.21600017부산광역시 중구 중앙동7가 20-1번지 롯데백화점광복점부산광역시 중구 중앙대로 2, 롯데백화점광복점 지상 4층 (중앙동7가)48944카페 아슬란20180313174733I2018-08-31 23:59:59.0제과점영업385590.814677179553.867032제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y171.21<NA><NA><NA><NA>
30723073제과점영업07_22_18_P32500003250000-121-2017-0000220170330<NA>1영업/정상1영업<NA><NA><NA><NA>070 8815151211.44600017부산광역시 중구 중앙동7가 1-2번지부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데백화점광복점)48944대구근대골목단팥빵 광복롯데점20170417144912I2018-08-31 23:59:59.0제과점영업385649.488635179526.735317제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N11.44<NA><NA><NA><NA>
30733074제과점영업07_22_18_P32500003250000-121-2016-0000820161117<NA>1영업/정상1영업<NA><NA><NA><NA>051 612 422596.23600806부산광역시 중구 부평동2가 72-2번지부산광역시 중구 부평1길 49, 지하1층, 1층 (부평동2가)48977겐츠베이커리 부평시장점20161117143321I2018-08-31 23:59:59.0제과점영업384637.844483179947.236224제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N96.23<NA><NA><NA><NA>
30743075제과점영업07_22_18_P32500003250000-121-2015-0000620151228<NA>1영업/정상1영업<NA><NA><NA><NA>051 464 700742.15600092부산광역시 중구 대청동2가 22-4번지 외1필지부산광역시 중구 대청로 90-1, 1층 (대청동2가)48947빵장수단팥빵20170210104844I2018-08-31 23:59:59.0제과점영업385002.672042180069.624291제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N42.15<NA><NA><NA><NA>
30753076제과점영업07_22_18_P32500003250000-121-2015-0000320150706<NA>1영업/정상1영업<NA><NA><NA><NA>051 255 077133.04600807부산광역시 중구 부평동2가 45-13번지 1층부산광역시 중구 보수대로 16, 1층 (부평동2가)48980타임 베이커리20200317154332U2020-03-19 02:40:00.0제과점영업384614.3322179577.888166제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N33.04<NA><NA><NA><NA>
30763077제과점영업07_22_18_P32500003250000-121-2014-0000520140826<NA>1영업/정상1영업<NA><NA><NA><NA>02 2670654671.28600017부산광역시 중구 중앙동7가 20-1 롯데몰마트시네마동롯데마트부산광복점지하1부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데몰마트시네마동롯데마트부산광복점지하1)48944베이커리팩토리 광복점20201124163953U2020-11-26 02:40:00.0제과점영업385590.814677179553.867032제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y71.28<NA><NA><NA><NA>
30773078제과점영업07_22_18_P32500003250000-121-2014-0000320140320<NA>1영업/정상1영업<NA><NA><NA><NA><NA>85.95600051부산광역시 중구 창선동1가 12-1번지 1층 일부부산광역시 중구 광복로39번길 6 (창선동1가)48947비엔씨제과광복점20150413115934I2018-08-31 23:59:59.0제과점영업384993.660073179733.755299제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N85.95<NA><NA><NA><NA>
30783079제과점영업07_22_18_P32500003250000-121-2011-0000620110728<NA>1영업/정상1영업<NA><NA><NA><NA>051 4663202111.0600815부산광역시 중구 중앙동4가 36-14번지 (1층)부산광역시 중구 해관로 65, 1층 (중앙동4가)48930파리바게뜨20130319111118I2018-08-31 23:59:59.0제과점영업385502.49232180297.579331제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N111.0<NA><NA><NA><NA>
30793080제과점영업07_22_18_P32800003280000-121-1996-0000319961118<NA>1영업/정상1영업<NA><NA><NA><NA>051 416385770.88606802부산광역시 영도구 남항동2가 271-1 272-3,274-2,274-3부산광역시 영도구 남항로 40-1 (남항동2가,272-3,274-2,274-3)49055파리바게트 영도남항점20201127140539U2020-11-29 02:40:00.0제과점영업386026.782302178511.723648제과점영업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N70.88<NA><NA><NA><NA>