Overview

Dataset statistics

Number of variables33
Number of observations1553
Missing cells17337
Missing cells (%)33.8%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory432.4 KiB
Average record size in memory285.1 B

Variable types

Categorical13
Text5
DateTime2
Unsupported6
Numeric6
Boolean1

Dataset

Description건강기능식품유통전문판매업 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2CC1IR43U15NP8E8AGC013377491&infSeq=1

Alerts

다중이용업소여부 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
위생업태명 is highly imbalanced (87.4%)Imbalance
인허가취소일자 has 1553 (100.0%) missing valuesMissing
폐업일자 has 1049 (67.5%) missing valuesMissing
소재지시설전화번호 has 1403 (90.3%) missing valuesMissing
소재지면적정보 has 1243 (80.0%) missing valuesMissing
도로명우편번호 has 1106 (71.2%) missing valuesMissing
소재지도로명주소 has 19 (1.2%) missing valuesMissing
소재지우편번호 has 38 (2.4%) missing valuesMissing
WGS84위도 has 450 (29.0%) missing valuesMissing
WGS84경도 has 450 (29.0%) missing valuesMissing
X좌표값 has 1116 (71.9%) missing valuesMissing
Y좌표값 has 1116 (71.9%) missing valuesMissing
영업장주변구분명 has 1553 (100.0%) missing valuesMissing
등급구분명 has 1553 (100.0%) missing valuesMissing
다중이용업소여부 has 27 (1.7%) missing valuesMissing
시설총규모 has 1553 (100.0%) missing valuesMissing
전통업소지정번호 has 1553 (100.0%) missing valuesMissing
전통업소음식 has 1553 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 has 49 (3.2%) zerosZeros

Reproduction

Analysis started2023-12-10 21:01:16.376584
Analysis finished2023-12-10 21:01:17.715309
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
성남시
257 
수원시
159 
고양시
138 
용인시
115 
안양시
103 
Other values (26)
781 

Length

Max length4
Median length3
Mean length3.0721185
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
성남시 257
16.5%
수원시 159
 
10.2%
고양시 138
 
8.9%
용인시 115
 
7.4%
안양시 103
 
6.6%
부천시 85
 
5.5%
남양주시 84
 
5.4%
화성시 81
 
5.2%
안산시 60
 
3.9%
김포시 39
 
2.5%
Other values (21) 432
27.8%

Length

2023-12-11T06:01:17.798675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 257
16.5%
수원시 159
 
10.2%
고양시 138
 
8.9%
용인시 115
 
7.4%
안양시 103
 
6.6%
부천시 85
 
5.5%
남양주시 84
 
5.4%
화성시 81
 
5.2%
안산시 60
 
3.9%
김포시 39
 
2.5%
Other values (21) 432
27.8%

사업장명
Text

Distinct1413
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2023-12-11T06:01:18.086943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length22
Mean length7.9909852
Min length2

Characters and Unicode

Total characters12410
Distinct characters604
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1289 ?
Unique (%)83.0%

Sample

1st row에프더블유원인더스트리즈주식회사지점
2nd row엘지상사뉴골든화이버
3rd row연세맘스
4th row(주)랩온
5th row주식회사 메이케이
ValueCountFrequency (%)
주식회사 212
 
11.3%
주 10
 
0.5%
농업회사법인 4
 
0.2%
주)메디타임 4
 
0.2%
주)그린스토어 4
 
0.2%
주)한빛나노메디칼 3
 
0.2%
개성인삼농협 3
 
0.2%
주)서경실업 3
 
0.2%
주)파마제닉 3
 
0.2%
주)이랑바이오 3
 
0.2%
Other values (1482) 1619
86.7%
2023-12-11T06:01:18.614507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1052
 
8.5%
) 821
 
6.6%
( 808
 
6.5%
이 562
 
4.5%
스 427
 
3.4%
사 330
 
2.7%
316
 
2.5%
회 292
 
2.4%
식 289
 
2.3%
오 222
 
1.8%
Other values (594) 7291
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10068
81.1%
Close Punctuation 823
 
6.6%
Open Punctuation 810
 
6.5%
Space Separator 316
 
2.5%
Uppercase Letter 174
 
1.4%
Lowercase Letter 165
 
1.3%
Decimal Number 27
 
0.2%
Other Punctuation 25
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1052
 
10.4%
이 562
 
5.6%
스 427
 
4.2%
사 330
 
3.3%
회 292
 
2.9%
식 289
 
2.9%
오 222
 
2.2%
바 192
 
1.9%
에 189
 
1.9%
리 163
 
1.6%
Other values (527) 6350
63.1%
Uppercase Letter
ValueCountFrequency (%)
S 16
 
9.2%
H 15
 
8.6%
N 15
 
8.6%
M 13
 
7.5%
B 12
 
6.9%
G 10
 
5.7%
E 10
 
5.7%
D 9
 
5.2%
C 8
 
4.6%
A 8
 
4.6%
Other values (15) 58
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 18
10.9%
e 18
10.9%
a 17
10.3%
i 15
9.1%
r 12
 
7.3%
u 12
 
7.3%
l 11
 
6.7%
t 11
 
6.7%
n 8
 
4.8%
s 8
 
4.8%
Other values (13) 35
21.2%
Decimal Number
ValueCountFrequency (%)
8 5
18.5%
5 5
18.5%
4 3
11.1%
3 3
11.1%
7 2
 
7.4%
2 2
 
7.4%
1 2
 
7.4%
6 2
 
7.4%
0 2
 
7.4%
9 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 13
52.0%
& 8
32.0%
, 4
 
16.0%
Close Punctuation
ValueCountFrequency (%)
) 821
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 808
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10064
81.1%
Common 2003
 
16.1%
Latin 339
 
2.7%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1052
 
10.5%
이 562
 
5.6%
스 427
 
4.2%
사 330
 
3.3%
회 292
 
2.9%
식 289
 
2.9%
오 222
 
2.2%
바 192
 
1.9%
에 189
 
1.9%
리 163
 
1.6%
Other values (523) 6346
63.1%
Latin
ValueCountFrequency (%)
o 18
 
5.3%
e 18
 
5.3%
a 17
 
5.0%
S 16
 
4.7%
i 15
 
4.4%
H 15
 
4.4%
N 15
 
4.4%
M 13
 
3.8%
r 12
 
3.5%
u 12
 
3.5%
Other values (38) 188
55.5%
Common
ValueCountFrequency (%)
) 821
41.0%
( 808
40.3%
316
 
15.8%
. 13
 
0.6%
& 8
 
0.4%
8 5
 
0.2%
5 5
 
0.2%
, 4
 
0.2%
4 3
 
0.1%
3 3
 
0.1%
Other values (9) 17
 
0.8%
Han
ValueCountFrequency (%)
地 1
25.0%
天 1
25.0%
人 1
25.0%
藥 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10064
81.1%
ASCII 2342
 
18.9%
CJK 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1052
 
10.5%
이 562
 
5.6%
스 427
 
4.2%
사 330
 
3.3%
회 292
 
2.9%
식 289
 
2.9%
오 222
 
2.2%
바 192
 
1.9%
에 189
 
1.9%
리 163
 
1.6%
Other values (523) 6346
63.1%
ASCII
ValueCountFrequency (%)
) 821
35.1%
( 808
34.5%
316
 
13.5%
o 18
 
0.8%
e 18
 
0.8%
a 17
 
0.7%
S 16
 
0.7%
i 15
 
0.6%
H 15
 
0.6%
N 15
 
0.6%
Other values (57) 283
 
12.1%
CJK
ValueCountFrequency (%)
地 1
25.0%
天 1
25.0%
人 1
25.0%
藥 1
25.0%

인허가일자
Date

Distinct1187
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
Minimum2004-02-04 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:01:18.785501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:01:18.933890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1553
Missing (%)100.0%
Memory size13.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1105 
1
364 
2
 
84

Length

Max length4
Median length4
Mean length3.1345782
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 1105
71.2%
1 364
 
23.4%
2 84
 
5.4%

Length

2023-12-11T06:01:19.103745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:19.238662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
71.2%
1 364
 
23.4%
2 84
 
5.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
운영중
685 
폐업 등
420 
영업
364 
폐업
84 

Length

Max length4
Median length3
Mean length2.9819704
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row폐업 등
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
운영중 685
44.1%
폐업 등 420
27.0%
영업 364
23.4%
폐업 84
 
5.4%

Length

2023-12-11T06:01:19.368842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:19.562397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 685
34.7%
폐업 504
25.5%
등 420
21.3%
영업 364
18.4%

폐업일자
Date

MISSING 

Distinct432
Distinct (%)85.7%
Missing1049
Missing (%)67.5%
Memory size12.3 KiB
Minimum2005-04-04 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:01:19.684799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:01:19.819890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct147
Distinct (%)98.0%
Missing1403
Missing (%)90.3%
Memory size12.3 KiB
2023-12-11T06:01:20.083529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.266667
Min length7

Characters and Unicode

Total characters1690
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

Unique144 ?
Unique (%)96.0%

Sample

1st row031 922 2240
2nd row0220382729
3rd row07042802808
4th row0261233080
5th row0221097829
ValueCountFrequency (%)
031 66
 
20.8%
070 21
 
6.6%
02 9
 
2.8%
032 7
 
2.2%
42271101 2
 
0.6%
353 2
 
0.6%
746 2
 
0.6%
6719 2
 
0.6%
717 2
 
0.6%
656 2
 
0.6%
Other values (200) 203
63.8%
2023-12-11T06:01:20.475299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 315
18.6%
3 190
11.2%
1 179
10.6%
176
10.4%
7 162
9.6%
2 148
8.8%
6 125
 
7.4%
5 114
 
6.7%
8 111
 
6.6%
4 92
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1514
89.6%
Space Separator 176
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
20.8%
3 190
12.5%
1 179
11.8%
7 162
10.7%
2 148
9.8%
6 125
 
8.3%
5 114
 
7.5%
8 111
 
7.3%
4 92
 
6.1%
9 78
 
5.2%
Space Separator
ValueCountFrequency (%)
176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1690
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
18.6%
3 190
11.2%
1 179
10.6%
176
10.4%
7 162
9.6%
2 148
8.8%
6 125
 
7.4%
5 114
 
6.7%
8 111
 
6.6%
4 92
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
18.6%
3 190
11.2%
1 179
10.6%
176
10.4%
7 162
9.6%
2 148
8.8%
6 125
 
7.4%
5 114
 
6.7%
8 111
 
6.6%
4 92
 
5.4%

소재지면적정보
Real number (ℝ)

MISSING  ZEROS 

Distinct213
Distinct (%)68.7%
Missing1243
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean79.97629
Minimum0
Maximum1439.45
Zeros49
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T06:01:20.621265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median25.08
Q384.7975
95-th percentile386.928
Maximum1439.45
Range1439.45
Interquartile range (IQR)81.4975

Descriptive statistics

Standard deviation157.39586
Coefficient of variation (CV)1.9680316
Kurtosis25.746397
Mean79.97629
Median Absolute Deviation (MAD)25.08
Skewness4.3698693
Sum24792.65
Variance24773.458
MonotonicityNot monotonic
2023-12-11T06:01:20.774604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 49
 
3.2%
3.3 18
 
1.2%
10.0 8
 
0.5%
6.6 7
 
0.5%
1.2 4
 
0.3%
2.56 3
 
0.2%
4.32 2
 
0.1%
450.0 2
 
0.1%
94.5 2
 
0.1%
66.0 2
 
0.1%
Other values (203) 213
 
13.7%
(Missing) 1243
80.0%
ValueCountFrequency (%)
0.0 49
3.2%
1.2 4
 
0.3%
1.65 1
 
0.1%
2.0 1
 
0.1%
2.2 1
 
0.1%
2.56 3
 
0.2%
2.6 1
 
0.1%
3.0 2
 
0.1%
3.3 18
 
1.2%
3.56 1
 
0.1%
ValueCountFrequency (%)
1439.45 1
0.1%
1062.8 1
0.1%
831.5 1
0.1%
684.32 1
0.1%
660.0 1
0.1%
650.0 2
0.1%
538.86 1
0.1%
496.0 1
0.1%
494.0 1
0.1%
450.0 2
0.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct328
Distinct (%)73.4%
Missing1106
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean14253.568
Minimum10025
Maximum18631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T06:01:20.908984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10025
5-th percentile10364.6
Q112110.5
median13996
Q316523.5
95-th percentile18443.7
Maximum18631
Range8606
Interquartile range (IQR)4413

Descriptive statistics

Standard deviation2559.1427
Coefficient of variation (CV)0.179544
Kurtosis-1.2227274
Mean14253.568
Median Absolute Deviation (MAD)2395
Skewness-0.030969974
Sum6371345
Variance6549211.3
MonotonicityNot monotonic
2023-12-11T06:01:21.053879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12113 9
 
0.6%
10908 7
 
0.5%
16512 7
 
0.5%
10071 7
 
0.5%
10545 5
 
0.3%
18469 5
 
0.3%
13595 5
 
0.3%
16704 4
 
0.3%
13943 4
 
0.3%
13840 4
 
0.3%
Other values (318) 390
 
25.1%
(Missing) 1106
71.2%
ValueCountFrequency (%)
10025 1
 
0.1%
10039 1
 
0.1%
10040 1
 
0.1%
10067 1
 
0.1%
10068 1
 
0.1%
10071 7
0.5%
10108 1
 
0.1%
10109 1
 
0.1%
10126 1
 
0.1%
10135 1
 
0.1%
ValueCountFrequency (%)
18631 1
 
0.1%
18630 1
 
0.1%
18622 2
 
0.1%
18577 2
 
0.1%
18536 1
 
0.1%
18525 1
 
0.1%
18510 2
 
0.1%
18502 1
 
0.1%
18497 1
 
0.1%
18469 5
0.3%

소재지도로명주소
Text

MISSING 

Distinct1430
Distinct (%)93.2%
Missing19
Missing (%)1.2%
Memory size12.3 KiB
2023-12-11T06:01:21.326214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length49
Mean length34.555411
Min length14

Characters and Unicode

Total characters53008
Distinct characters496
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1343 ?
Unique (%)87.5%

Sample

1st row경기도 가평군 청평면 청평중앙로**번길 *, *층
2nd row경기도 가평군 가평읍 굴다리길 **
3rd row경기도 고양시 덕양구 무원로*번길 **, M-타워 ***호,***호 (행신동)
4th row경기도 고양시 일산동구 백마로 ***, 일산COMPLEX 방송관련시설 *층 *-****호 (장항동)
5th row경기도 고양시 일산동구 정발산로 **, 지평프라자 ***호 (장항동)
ValueCountFrequency (%)
1566
 
14.2%
경기도 1534
 
14.0%
층 583
 
5.3%
호 556
 
5.1%
성남시 256
 
2.3%
분당구 169
 
1.5%
수원시 159
 
1.4%
고양시 138
 
1.3%
용인시 112
 
1.0%
일부 108
 
1.0%
Other values (2024) 5810
52.9%
2023-12-11T06:01:21.955222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9459
17.8%
* 9084
17.1%
동 1676
 
3.2%
기 1638
 
3.1%
시 1620
 
3.1%
경 1618
 
3.1%
도 1587
 
3.0%
, 1495
 
2.8%
로 1473
 
2.8%
( 1293
 
2.4%
Other values (486) 22065
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29568
55.8%
Other Punctuation 10589
 
20.0%
Space Separator 9459
 
17.8%
Open Punctuation 1294
 
2.4%
Close Punctuation 1294
 
2.4%
Dash Punctuation 407
 
0.8%
Uppercase Letter 336
 
0.6%
Lowercase Letter 55
 
0.1%
Math Symbol 3
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1676
 
5.7%
기 1638
 
5.5%
시 1620
 
5.5%
경 1618
 
5.5%
도 1587
 
5.4%
로 1473
 
5.0%
구 895
 
3.0%
호 892
 
3.0%
층 710
 
2.4%
길 634
 
2.1%
Other values (429) 16825
56.9%
Uppercase Letter
ValueCountFrequency (%)
B 67
19.9%
A 56
16.7%
I 34
10.1%
T 20
 
6.0%
C 18
 
5.4%
S 13
 
3.9%
E 12
 
3.6%
L 12
 
3.6%
D 11
 
3.3%
O 11
 
3.3%
Other values (15) 82
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
12.7%
o 6
10.9%
t 6
10.9%
s 6
10.9%
l 4
 
7.3%
r 4
 
7.3%
a 4
 
7.3%
n 3
 
5.5%
y 3
 
5.5%
k 2
 
3.6%
Other values (7) 10
18.2%
Other Punctuation
ValueCountFrequency (%)
* 9084
85.8%
, 1495
 
14.1%
. 4
 
< 0.1%
& 3
 
< 0.1%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1293
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1293
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 407
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29568
55.8%
Common 23048
43.5%
Latin 392
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1676
 
5.7%
기 1638
 
5.5%
시 1620
 
5.5%
경 1618
 
5.5%
도 1587
 
5.4%
로 1473
 
5.0%
구 895
 
3.0%
호 892
 
3.0%
층 710
 
2.4%
길 634
 
2.1%
Other values (429) 16825
56.9%
Latin
ValueCountFrequency (%)
B 67
17.1%
A 56
14.3%
I 34
 
8.7%
T 20
 
5.1%
C 18
 
4.6%
S 13
 
3.3%
E 12
 
3.1%
L 12
 
3.1%
D 11
 
2.8%
O 11
 
2.8%
Other values (33) 138
35.2%
Common
ValueCountFrequency (%)
9459
41.0%
* 9084
39.4%
, 1495
 
6.5%
( 1293
 
5.6%
) 1293
 
5.6%
- 407
 
1.8%
. 4
 
< 0.1%
& 3
 
< 0.1%
~ 3
 
< 0.1%
㎡ 2
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29568
55.8%
ASCII 23437
44.2%
CJK Compat 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9459
40.4%
* 9084
38.8%
, 1495
 
6.4%
( 1293
 
5.5%
) 1293
 
5.5%
- 407
 
1.7%
B 67
 
0.3%
A 56
 
0.2%
I 34
 
0.1%
T 20
 
0.1%
Other values (45) 229
 
1.0%
Hangul
ValueCountFrequency (%)
동 1676
 
5.7%
기 1638
 
5.5%
시 1620
 
5.5%
경 1618
 
5.5%
도 1587
 
5.4%
로 1473
 
5.0%
구 895
 
3.0%
호 892
 
3.0%
층 710
 
2.4%
길 634
 
2.1%
Other values (429) 16825
56.9%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

Distinct1423
Distinct (%)91.7%
Missing2
Missing (%)0.1%
Memory size12.3 KiB
2023-12-11T06:01:22.226376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length28.958736
Min length14

Characters and Unicode

Total characters44915
Distinct characters466
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1329 ?
Unique (%)85.7%

Sample

1st row경기도 가평군 청평면 청평리 ***-**번지 *층
2nd row경기도 가평군 가평읍 대곡리 ***-*번지
3rd row경기도 고양시 덕양구 행신동 ***-* M-타워
4th row경기도 고양시 일산동구 장항동 *** 엠시티타워&엠시티오피스텔
5th row경기도 고양시 일산동구 장항동 *** 지평프라자
ValueCountFrequency (%)
경기도 1551
 
16.4%
번지 1104
 
11.6%
475
 
5.0%
호 418
 
4.4%
층 325
 
3.4%
성남시 257
 
2.7%
분당구 169
 
1.8%
수원시 158
 
1.7%
고양시 138
 
1.5%
용인시 115
 
1.2%
Other values (1393) 4767
50.3%
2023-12-11T06:01:22.832137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8761
19.5%
8302
18.5%
동 1686
 
3.8%
기 1640
 
3.7%
시 1615
 
3.6%
도 1599
 
3.6%
경 1572
 
3.5%
지 1310
 
2.9%
- 1186
 
2.6%
번 1108
 
2.5%
Other values (456) 16136
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26072
58.0%
Other Punctuation 8843
 
19.7%
Space Separator 8302
 
18.5%
Dash Punctuation 1186
 
2.6%
Uppercase Letter 246
 
0.5%
Open Punctuation 109
 
0.2%
Close Punctuation 109
 
0.2%
Lowercase Letter 42
 
0.1%
Math Symbol 3
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1686
 
6.5%
기 1640
 
6.3%
시 1615
 
6.2%
도 1599
 
6.1%
경 1572
 
6.0%
지 1310
 
5.0%
번 1108
 
4.2%
구 897
 
3.4%
호 611
 
2.3%
양 534
 
2.0%
Other values (402) 13500
51.8%
Uppercase Letter
ValueCountFrequency (%)
B 43
17.5%
A 41
16.7%
I 33
13.4%
T 19
 
7.7%
S 13
 
5.3%
C 11
 
4.5%
D 9
 
3.7%
K 9
 
3.7%
E 9
 
3.7%
W 9
 
3.7%
Other values (14) 50
20.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.3%
o 5
11.9%
a 4
9.5%
n 3
 
7.1%
y 3
 
7.1%
s 3
 
7.1%
r 3
 
7.1%
k 2
 
4.8%
l 2
 
4.8%
i 2
 
4.8%
Other values (7) 9
21.4%
Other Punctuation
ValueCountFrequency (%)
* 8761
99.1%
, 69
 
0.8%
& 5
 
0.1%
. 4
 
< 0.1%
/ 3
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
8302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1186
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26072
58.0%
Common 18554
41.3%
Latin 289
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1686
 
6.5%
기 1640
 
6.3%
시 1615
 
6.2%
도 1599
 
6.1%
경 1572
 
6.0%
지 1310
 
5.0%
번 1108
 
4.2%
구 897
 
3.4%
호 611
 
2.3%
양 534
 
2.0%
Other values (402) 13500
51.8%
Latin
ValueCountFrequency (%)
B 43
14.9%
A 41
14.2%
I 33
 
11.4%
T 19
 
6.6%
S 13
 
4.5%
C 11
 
3.8%
D 9
 
3.1%
K 9
 
3.1%
E 9
 
3.1%
W 9
 
3.1%
Other values (32) 93
32.2%
Common
ValueCountFrequency (%)
* 8761
47.2%
8302
44.7%
- 1186
 
6.4%
( 109
 
0.6%
) 109
 
0.6%
, 69
 
0.4%
& 5
 
< 0.1%
. 4
 
< 0.1%
~ 3
 
< 0.1%
/ 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26072
58.0%
ASCII 18840
41.9%
CJK Compat 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8761
46.5%
8302
44.1%
- 1186
 
6.3%
( 109
 
0.6%
) 109
 
0.6%
, 69
 
0.4%
B 43
 
0.2%
A 41
 
0.2%
I 33
 
0.2%
T 19
 
0.1%
Other values (42) 168
 
0.9%
Hangul
ValueCountFrequency (%)
동 1686
 
6.5%
기 1640
 
6.3%
시 1615
 
6.2%
도 1599
 
6.1%
경 1572
 
6.0%
지 1310
 
5.0%
번 1108
 
4.2%
구 897
 
3.4%
호 611
 
2.3%
양 534
 
2.0%
Other values (402) 13500
51.8%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지우편번호
Text

MISSING 

Distinct872
Distinct (%)57.6%
Missing38
Missing (%)2.4%
Memory size12.3 KiB
2023-12-11T06:01:23.165851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2165017
Min length5

Characters and Unicode

Total characters9418
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

Unique589 ?
Unique (%)38.9%

Sample

1st row477813
2nd row477804
3rd row412-825
4th row410-837
5th row410-837
ValueCountFrequency (%)
410837 30
 
2.0%
463400 26
 
1.7%
463824 14
 
0.9%
472-501 13
 
0.9%
462807 13
 
0.9%
445937 12
 
0.8%
431815 12
 
0.8%
463828 11
 
0.7%
410-837 10
 
0.7%
410835 10
 
0.7%
Other values (862) 1364
90.0%
2023-12-11T06:01:23.691489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2231
23.7%
8 1143
12.1%
1 967
10.3%
0 961
10.2%
3 855
 
9.1%
2 749
 
8.0%
6 704
 
7.5%
5 588
 
6.2%
7 499
 
5.3%
- 409
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9009
95.7%
Dash Punctuation 409
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2231
24.8%
8 1143
12.7%
1 967
10.7%
0 961
10.7%
3 855
 
9.5%
2 749
 
8.3%
6 704
 
7.8%
5 588
 
6.5%
7 499
 
5.5%
9 312
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 409
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2231
23.7%
8 1143
12.1%
1 967
10.3%
0 961
10.2%
3 855
 
9.1%
2 749
 
8.0%
6 704
 
7.5%
5 588
 
6.2%
7 499
 
5.3%
- 409
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2231
23.7%
8 1143
12.1%
1 967
10.3%
0 961
10.2%
3 855
 
9.1%
2 749
 
8.0%
6 704
 
7.5%
5 588
 
6.2%
7 499
 
5.3%
- 409
 
4.3%

WGS84위도
Real number (ℝ)

MISSING 

Distinct943
Distinct (%)85.5%
Missing450
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean37.42419
Minimum36.933448
Maximum38.184302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T06:01:23.886186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.933448
5-th percentile37.093413
Q137.299711
median37.397381
Q337.543618
95-th percentile37.742783
Maximum38.184302
Range1.2508539
Interquartile range (IQR)0.24390729

Descriptive statistics

Standard deviation0.1938234
Coefficient of variation (CV)0.0051790942
Kurtosis0.12466632
Mean37.42419
Median Absolute Deviation (MAD)0.10993485
Skewness0.29373067
Sum41278.882
Variance0.037567512
MonotonicityNot monotonic
2023-12-11T06:01:24.032939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3443549674 8
 
0.5%
37.3923317778 7
 
0.5%
37.4134850676 6
 
0.4%
37.4005799752 5
 
0.3%
37.3889401776 5
 
0.3%
37.4034142986 4
 
0.3%
37.4149707963 4
 
0.3%
37.3973806137 4
 
0.3%
37.3795300021 4
 
0.3%
37.4335849457 4
 
0.3%
Other values (933) 1052
67.7%
(Missing) 450
29.0%
ValueCountFrequency (%)
36.9334477579 1
 
0.1%
36.9351817013 1
 
0.1%
36.9598123758 1
 
0.1%
36.9809729157 1
 
0.1%
36.9881361394 1
 
0.1%
36.9891900935 1
 
0.1%
36.9898110284 1
 
0.1%
36.9921217636 3
0.2%
36.996029797 1
 
0.1%
36.9962116173 1
 
0.1%
ValueCountFrequency (%)
38.1843016157 1
0.1%
38.0868217882 1
0.1%
38.0407579057 1
0.1%
38.0144110269 1
0.1%
37.9877236609 1
0.1%
37.9683421474 1
0.1%
37.9538484083 1
0.1%
37.9453219474 1
0.1%
37.9424507866 1
0.1%
37.9241261542 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct943
Distinct (%)85.5%
Missing450
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean127.02307
Minimum126.54729
Maximum127.75503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T06:01:24.196319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54729
5-th percentile126.7515
Q1126.88519
median127.04787
Q3127.12926
95-th percentile127.31142
Maximum127.75503
Range1.2077351
Interquartile range (IQR)0.24407891

Descriptive statistics

Standard deviation0.18688011
Coefficient of variation (CV)0.0014712297
Kurtosis0.4289274
Mean127.02307
Median Absolute Deviation (MAD)0.10752169
Skewness0.26907522
Sum140106.45
Variance0.034924177
MonotonicityNot monotonic
2023-12-11T06:01:24.351957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.10510721 8
 
0.5%
126.9565123356 7
 
0.5%
127.1255147055 6
 
0.4%
127.1068799859 5
 
0.3%
127.122552825 5
 
0.3%
126.9614715721 4
 
0.3%
127.1515439516 4
 
0.3%
127.1125004928 4
 
0.3%
127.1142414695 4
 
0.3%
127.1310097819 4
 
0.3%
Other values (933) 1052
67.7%
(Missing) 450
29.0%
ValueCountFrequency (%)
126.5472916706 1
0.1%
126.5746807386 1
0.1%
126.5783066746 1
0.1%
126.5813834659 1
0.1%
126.5887889164 1
0.1%
126.5926069869 1
0.1%
126.6080083339 1
0.1%
126.6174156446 1
0.1%
126.6190063897 1
0.1%
126.6299107466 1
0.1%
ValueCountFrequency (%)
127.7550267537 1
0.1%
127.7052478804 1
0.1%
127.6760028591 1
0.1%
127.6642407548 1
0.1%
127.6344143808 1
0.1%
127.6338244279 1
0.1%
127.6307560743 1
0.1%
127.5972736316 1
0.1%
127.5843133687 1
0.1%
127.5547235029 1
0.1%

업태구분명정보
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1105 
건강기능식품유통전문판매업
448 

Length

Max length13
Median length4
Mean length6.5962653
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1105
71.2%
건강기능식품유통전문판매업 448
28.8%

Length

2023-12-11T06:01:24.506109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:24.590689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
71.2%
건강기능식품유통전문판매업 448
28.8%

X좌표값
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)87.6%
Missing1116
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean200601.51
Minimum159335.86
Maximum257018.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T06:01:24.698877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159335.86
5-th percentile177652.22
Q1189646.86
median204279.4
Q3210383.8
95-th percentile221512.25
Maximum257018.26
Range97682.399
Interquartile range (IQR)20736.935

Descriptive statistics

Standard deviation15502.456
Coefficient of variation (CV)0.07727986
Kurtosis0.33211226
Mean200601.51
Median Absolute Deviation (MAD)7529.323
Skewness-0.083953401
Sum87662858
Variance2.4032615 × 108
MonotonicityNot monotonic
2023-12-11T06:01:24.849170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178804.224364993 6
 
0.4%
211047.581577928 5
 
0.3%
211022.980991253 4
 
0.3%
209824.311594918 4
 
0.3%
197917.766604267 4
 
0.3%
207082.504166247 3
 
0.2%
179708.826286267 3
 
0.2%
211171.958578674 3
 
0.2%
209087.359577333 3
 
0.2%
216730.486414563 2
 
0.1%
Other values (373) 400
 
25.8%
(Missing) 1116
71.9%
ValueCountFrequency (%)
159335.860205716 1
0.1%
160417.015775248 1
0.1%
163965.902635744 1
0.1%
164175.757511815 1
0.1%
166347.213933274 2
0.1%
166456.04172085 1
0.1%
166542.983302429 1
0.1%
166838.78 1
0.1%
166939.608701573 1
0.1%
167025.54714866 1
0.1%
ValueCountFrequency (%)
257018.258976503 1
0.1%
250982.359914378 1
0.1%
245989.334480637 1
0.1%
243861.466653284 1
0.1%
243545.25089961 1
0.1%
236442.867882845 1
0.1%
236346.726112759 1
0.1%
236340.310985537 1
0.1%
235954.863619194 1
0.1%
233344.644714737 2
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)87.6%
Missing1116
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean437304.6
Minimum387811.96
Maximum494644.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T06:01:24.998393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387811.96
5-th percentile405582.47
Q1420115.27
median433213.53
Q3458126.56
95-th percentile475488.54
Maximum494644.97
Range106833
Interquartile range (IQR)38011.288

Descriptive statistics

Standard deviation22169.106
Coefficient of variation (CV)0.050694884
Kurtosis-0.66354376
Mean437304.6
Median Absolute Deviation (MAD)15443.902
Skewness0.27618108
Sum1.9110211 × 108
Variance4.9146928 × 108
MonotonicityNot monotonic
2023-12-11T06:01:25.154196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
468269.565890856 6
 
0.4%
460377.706809703 5
 
0.3%
460402.799208436 4
 
0.3%
431338.091298634 4
 
0.3%
433213.526675967 4
 
0.3%
419203.362912598 3
 
0.2%
461404.803949418 3
 
0.2%
418854.297919351 3
 
0.2%
414712.032991541 3
 
0.2%
417584.996715859 2
 
0.1%
Other values (373) 400
 
25.8%
(Missing) 1116
71.9%
ValueCountFrequency (%)
387811.961908266 1
0.1%
389162.62875593 1
0.1%
389718.189165129 1
0.1%
389725.143274385 1
0.1%
389906.527719082 1
0.1%
390546.904747462 1
0.1%
392571.192530646 1
0.1%
394274.153588218 1
0.1%
395067.783815201 1
0.1%
397434.39093646 1
0.1%
ValueCountFrequency (%)
494644.965894742 1
0.1%
489694.58371679 1
0.1%
487012.862427921 1
0.1%
486542.69606035 1
0.1%
486163.355527638 1
0.1%
486106.351763792 1
0.1%
485163.825021291 1
0.1%
484786.720163451 1
0.1%
483229.236841288 1
0.1%
483129.693643413 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
건강기능식품유통전문판매업
1526 
<NA>
 
27

Length

Max length13
Median length13
Mean length12.843529
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 1526
98.3%
<NA> 27
 
1.7%

Length

2023-12-11T06:01:25.283358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:25.397961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 1526
98.3%
na 27
 
1.7%

남성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1142 
0
411 

Length

Max length4
Median length4
Mean length3.2060528
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1142
73.5%
0 411
 
26.5%

Length

2023-12-11T06:01:25.516094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:25.633187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1142
73.5%
0 411
 
26.5%

여성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1142 
0
411 

Length

Max length4
Median length4
Mean length3.2060528
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1142
73.5%
0 411
 
26.5%

Length

2023-12-11T06:01:25.736172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:25.847302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1142
73.5%
0 411
 
26.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1553
Missing (%)100.0%
Memory size13.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1553
Missing (%)100.0%
Memory size13.8 KiB

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1129 
0
424 

Length

Max length4
Median length4
Mean length3.1809401
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1129
72.7%
0 424
 
27.3%

Length

2023-12-11T06:01:25.980201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:26.099710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1129
72.7%
0 424
 
27.3%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1129 
0
423 
5
 
1

Length

Max length4
Median length4
Mean length3.1809401
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1129
72.7%
0 423
 
27.2%
5 1
 
0.1%

Length

2023-12-11T06:01:26.204792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:26.320521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1129
72.7%
0 423
 
27.2%
5 1
 
0.1%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1129 
0
424 

Length

Max length4
Median length4
Mean length3.1809401
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1129
72.7%
0 424
 
27.3%

Length

2023-12-11T06:01:26.457757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:26.604366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1129
72.7%
0 424
 
27.3%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1129 
0
424 

Length

Max length4
Median length4
Mean length3.1809401
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1129
72.7%
0 424
 
27.3%

Length

2023-12-11T06:01:26.806686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:26.935532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1129
72.7%
0 424
 
27.3%

보증금액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1138 
0
415 

Length

Max length4
Median length4
Mean length3.1983258
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1138
73.3%
0 415
 
26.7%

Length

2023-12-11T06:01:27.084723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:27.221079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1138
73.3%
0 415
 
26.7%

월세금액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1138 
0
415 

Length

Max length4
Median length4
Mean length3.1983258
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1138
73.3%
0 415
 
26.7%

Length

2023-12-11T06:01:27.354356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:27.509186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1138
73.3%
0 415
 
26.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing27
Missing (%)1.7%
Memory size3.2 KiB
False
1526 
(Missing)
 
27
ValueCountFrequency (%)
False 1526
98.3%
(Missing) 27
 
1.7%
2023-12-11T06:01:27.626142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1553
Missing (%)100.0%
Memory size13.8 KiB

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1553
Missing (%)100.0%
Memory size13.8 KiB

전통업소음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1553
Missing (%)100.0%
Memory size13.8 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
0가평군에프더블유원인더스트리즈주식회사지점20150902<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 청평중앙로**번길 *, *층경기도 가평군 청평면 청평리 ***-**번지 *층47781337.736374127.417978<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1가평군엘지상사뉴골든화이버20040901<NA><NA>폐업 등20100209<NA><NA><NA>경기도 가평군 가평읍 굴다리길 **경기도 가평군 가평읍 대곡리 ***-*번지47780437.826174127.513715<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
2고양시연세맘스2023-08-08<NA>1영업<NA><NA>0.010523경기도 고양시 덕양구 무원로*번길 **, M-타워 ***호,***호 (행신동)경기도 고양시 덕양구 행신동 ***-* M-타워412-825<NA><NA>건강기능식품유통전문판매업185248.088447456800.931082건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
3고양시(주)랩온2021-07-16<NA>1영업<NA><NA><NA>10403경기도 고양시 일산동구 백마로 ***, 일산COMPLEX 방송관련시설 *층 *-****호 (장항동)경기도 고양시 일산동구 장항동 *** 엠시티타워&엠시티오피스텔410-837<NA><NA>건강기능식품유통전문판매업179708.826286461404.803949건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
4고양시주식회사 메이케이2021-11-05<NA>1영업<NA><NA><NA>10402경기도 고양시 일산동구 정발산로 **, 지평프라자 ***호 (장항동)경기도 고양시 일산동구 장항동 *** 지평프라자410-837<NA><NA>건강기능식품유통전문판매업179691.35004461619.457487건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
5고양시콜투액션(주)2022-03-10<NA>1영업<NA><NA>0.010545경기도 고양시 덕양구 향동로 ***, DMC스타비즈 *st ****호 (향동동)경기도 고양시 덕양구 향동동 ***412-180<NA><NA>건강기능식품유통전문판매업190220.795105455402.818543건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
6고양시주식회사 앤리츄얼2023-09-27<NA>1영업<NA><NA><NA>10212경기도 고양시 일산서구 덕산로***번길 **, 가동 (덕이동)경기도 고양시 일산서구 덕이동 ****411-809<NA><NA>건강기능식품유통전문판매업176540.229455465777.484353건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
7고양시주식회사 안아헬스케어2020-03-10<NA>1영업<NA><NA><NA>10390경기도 고양시 일산서구 킨텍스로 ***, 일산 디엠시티 스카이뷰 사무동 ****호 (대화동)경기도 고양시 일산서구 대화동 ****-** 일산 디엠시티 스카이뷰411-807<NA><NA>건강기능식품유통전문판매업177849.195872462962.312595건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
8고양시그랑파르마2023-09-07<NA>1영업<NA><NA><NA>10220경기도 고양시 일산서구 대화로**번길 **-**, 가동 *층 (법곳동)경기도 고양시 일산서구 법곳동 ** 가동 *층411-420<NA><NA>건강기능식품유통전문판매업175651.73261462649.720832건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
9고양시(주)세종바이오2021-11-15<NA>1영업<NA><NA><NA>10390경기도 고양시 일산서구 킨텍스로 ***, 일산 디엠시티 스카이뷰 사무동 ***호 (대화동)경기도 고양시 일산서구 대화동 ****-** 일산 디엠시티 스카이뷰411-807<NA><NA>건강기능식품유통전문판매업177849.195872462962.312595건강기능식품유통전문판매업00<NA><NA>000000N<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
1543화성시(주)햇님나라20111124<NA><NA>폐업 등20160315<NA><NA><NA>경기도 화성시 봉담읍 하가등길 **-*경기도 화성시 봉담읍 하가등리 ***-**번지44590337.146659126.933592<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1544화성시미쓰콩20110520<NA><NA>폐업 등20120223<NA><NA><NA>경기도 화성시 병점*로 ***경기도 화성시 병점동 ***번지 안화동마을 ***동 ****호44576537.212479127.048903<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1545화성시(주)헬씨스퀘어20061023<NA><NA>폐업 등20080806<NA><NA><NA>경기도 화성시 향남읍 삼천병마로 ***-*경기도 화성시 향남읍 평리 ***-*번지 에이스존 ***44593937.128992126.907955<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1546화성시한국휴텍스제약(주)20080926<NA><NA>폐업 등20161201<NA><NA><NA>경기도 화성시 영천로 **-**경기도 화성시 영천동 ***-*번지44513037.207526127.102104<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1547화성시(주)에이치엔코리아20100728<NA><NA>폐업 등20160509<NA><NA><NA>경기도 화성시 우정읍 조암동로**번길 **, *층경기도 화성시 우정읍 조암리 ***-*번지44595537.086831126.824875<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1548화성시송원식품20070531<NA><NA>폐업 등20081202<NA><NA><NA>경기도 화성시 정남면 덕절창말길 **경기도 화성시 정남면 덕절리 ***-*번지44596437.139728127.021761<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1549화성시한국디디에스제약(주)20050726<NA><NA>폐업 등20050909<NA><NA><NA><NA>경기도 화성시 영천동 ***-****번지44513037.20462127.108161<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1550화성시(주)브이플러스20141215<NA><NA>폐업 등20170928<NA><NA><NA>경기도 화성시 새강*길 **, *층 (반송동)경기도 화성시 반송동 ***-*번지 *층44516037.192829127.066022<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1551화성시헬씨팜코리아20170329<NA><NA>폐업 등20171018<NA><NA><NA>경기도 화성시 팔탄면 노하길***번길 **-** (*동 *층일부)경기도 화성시 팔탄면 노하리 ***번지 *동 *층일부44590937.161832126.86641<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1552화성시에이치엘케어팜20090922<NA><NA>폐업 등20100909<NA><NA><NA>경기도 화성시 정남면 백리양지길 *경기도 화성시 정남면 백리 ***번지 (A동)44596237.169469126.953798<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부# duplicates
0구리시태백산 영농조합20130930<NA>폐업 등20170228<NA><NA><NA>경기도 구리시 검배로**번길 ** (수택동, *층)경기도 구리시 수택동 ***-**번지 *층47182137.596034127.147654<NA><NA><NA>건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA>N2