Overview

Dataset statistics

Number of variables32
Number of observations490
Missing cells5658
Missing cells (%)36.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory130.3 KiB
Average record size in memory272.3 B

Variable types

Numeric7
DateTime3
Unsupported8
Categorical8
Text6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),목재생산업구분코드명,목재생산업종류명,취급목재제품,인력보유현황,년간생산량,자본금,상태구분명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16102/S/1/datasetView.do

Alerts

영업상태코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (93.2%)Imbalance
상세영업상태명 is highly imbalanced (93.2%)Imbalance
인력보유현황 is highly imbalanced (61.1%)Imbalance
인허가취소일자 has 490 (100.0%) missing valuesMissing
폐업일자 has 490 (100.0%) missing valuesMissing
휴업시작일자 has 490 (100.0%) missing valuesMissing
휴업종료일자 has 490 (100.0%) missing valuesMissing
재개업일자 has 490 (100.0%) missing valuesMissing
전화번호 has 148 (30.2%) missing valuesMissing
소재지면적 has 490 (100.0%) missing valuesMissing
소재지우편번호 has 490 (100.0%) missing valuesMissing
지번주소 has 170 (34.7%) missing valuesMissing
도로명주소 has 14 (2.9%) missing valuesMissing
도로명우편번호 has 180 (36.7%) missing valuesMissing
업태구분명 has 490 (100.0%) missing valuesMissing
좌표정보(X) has 10 (2.0%) missing valuesMissing
좌표정보(Y) has 10 (2.0%) missing valuesMissing
목재생산업종류명 has 485 (99.0%) missing valuesMissing
취급목재제품 has 202 (41.2%) missing valuesMissing
년간생산량 has 269 (54.9%) missing valuesMissing
자본금 has 250 (51.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
년간생산량 has 12 (2.4%) zerosZeros
자본금 has 12 (2.4%) zerosZeros

Reproduction

Analysis started2024-05-11 08:32:58.646196
Analysis finished2024-05-11 08:32:59.582887
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct22
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3168632.7
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:32:59.630450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13150000
median3200000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation68804.93
Coefficient of variation (CV)0.021714391
Kurtosis0.4982126
Mean3168632.7
Median Absolute Deviation (MAD)30000
Skewness-1.2773045
Sum1.55263 × 109
Variance4.7341184 × 109
MonotonicityNot monotonic
2024-05-11T17:32:59.749287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3220000 121
24.7%
3210000 61
12.4%
3230000 49
10.0%
3180000 45
 
9.2%
3130000 38
 
7.8%
3150000 37
 
7.6%
3170000 20
 
4.1%
3000000 19
 
3.9%
3160000 16
 
3.3%
3030000 15
 
3.1%
Other values (12) 69
14.1%
ValueCountFrequency (%)
3000000 19
3.9%
3010000 13
2.7%
3020000 5
 
1.0%
3030000 15
3.1%
3040000 12
2.4%
3050000 5
 
1.0%
3080000 1
 
0.2%
3100000 3
 
0.6%
3110000 1
 
0.2%
3120000 5
 
1.0%
ValueCountFrequency (%)
3240000 9
 
1.8%
3230000 49
10.0%
3220000 121
24.7%
3210000 61
12.4%
3200000 7
 
1.4%
3190000 4
 
0.8%
3180000 45
 
9.2%
3170000 20
 
4.1%
3160000 16
 
3.3%
3150000 37
 
7.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct490
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1686336 × 1017
Minimum3.0000009 × 1017
Maximum3.2400009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:32:59.889365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000009 × 1017
5-th percentile3.0100009 × 1017
Q13.1500009 × 1017
median3.2000009 × 1017
Q33.2200009 × 1017
95-th percentile3.2300009 × 1017
Maximum3.2400009 × 1017
Range2.4 × 1016
Interquartile range (IQR)7 × 1015

Descriptive statistics

Standard deviation6.880493 × 1015
Coefficient of variation (CV)0.021714385
Kurtosis0.4982126
Mean3.1686336 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-1.2773045
Sum7.6890916 × 1018
Variance4.7341184 × 1031
MonotonicityNot monotonic
2024-05-11T17:33:00.017673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
322000090202300004 1
 
0.2%
322000090201800014 1
 
0.2%
322000090201700004 1
 
0.2%
322000090201700003 1
 
0.2%
322000090201700001 1
 
0.2%
322000090201600005 1
 
0.2%
322000090201400009 1
 
0.2%
322000090201400008 1
 
0.2%
322000090201400007 1
 
0.2%
322000090201400005 1
 
0.2%
Other values (480) 480
98.0%
ValueCountFrequency (%)
300000090201300001 1
0.2%
300000090201300002 1
0.2%
300000090201400001 1
0.2%
300000090201400003 1
0.2%
300000090201400004 1
0.2%
300000090201700001 1
0.2%
300000090201700002 1
0.2%
300000090201700003 1
0.2%
300000090201700004 1
0.2%
300000090201700005 1
0.2%
ValueCountFrequency (%)
324000090202300001 1
0.2%
324000090202200002 1
0.2%
324000090202200001 1
0.2%
324000090202000001 1
0.2%
324000090201900002 1
0.2%
324000090201900001 1
0.2%
324000090201700002 1
0.2%
324000090201400001 1
0.2%
324000090201300002 1
0.2%
323000090202400003 1
0.2%

인허가일자
Date

Distinct398
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2013-10-31 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T17:33:00.140772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:33:00.251457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
490 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 490
100.0%

Length

2024-05-11T17:33:00.359113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:00.436436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 490
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
영업/정상
490 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 490
100.0%

Length

2024-05-11T17:33:00.514791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:00.588162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 490
100.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
486 
BBBB
 
4

Length

Max length4
Median length1
Mean length1.0244898
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 486
99.2%
BBBB 4
 
0.8%

Length

2024-05-11T17:33:00.684420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:00.778994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 486
99.2%
bbbb 4
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
정상
486 
<NA>
 
4

Length

Max length4
Median length2
Mean length2.0163265
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 486
99.2%
<NA> 4
 
0.8%

Length

2024-05-11T17:33:00.884684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:00.979759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 486
99.2%
na 4
 
0.8%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

전화번호
Text

MISSING 

Distinct325
Distinct (%)95.0%
Missing148
Missing (%)30.2%
Memory size4.0 KiB
2024-05-11T17:33:01.163240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.219298
Min length7

Characters and Unicode

Total characters3837
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)90.6%

Sample

1st row02-571-0008
2nd row02-861-8876
3rd row02-2112-5173
4th row02-539-4915
5th row02-566-7890
ValueCountFrequency (%)
02-393-5550 4
 
1.2%
02-578-9966 2
 
0.6%
02-6481-1035 2
 
0.6%
070-8236-8011 2
 
0.6%
02-443-1772 2
 
0.6%
027307207 2
 
0.6%
070-4209-8529 2
 
0.6%
02-775-7200 2
 
0.6%
02-3487-5120 2
 
0.6%
025757550 2
 
0.6%
Other values (317) 322
93.6%
2024-05-11T17:33:01.492722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 639
16.7%
- 569
14.8%
2 551
14.4%
5 347
9.0%
7 318
8.3%
6 285
7.4%
3 265
6.9%
4 239
 
6.2%
1 237
 
6.2%
8 215
 
5.6%
Other values (3) 172
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3265
85.1%
Dash Punctuation 569
 
14.8%
Space Separator 2
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 639
19.6%
2 551
16.9%
5 347
10.6%
7 318
9.7%
6 285
8.7%
3 265
8.1%
4 239
 
7.3%
1 237
 
7.3%
8 215
 
6.6%
9 169
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3837
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 639
16.7%
- 569
14.8%
2 551
14.4%
5 347
9.0%
7 318
8.3%
6 285
7.4%
3 265
6.9%
4 239
 
6.2%
1 237
 
6.2%
8 215
 
5.6%
Other values (3) 172
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3837
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 639
16.7%
- 569
14.8%
2 551
14.4%
5 347
9.0%
7 318
8.3%
6 285
7.4%
3 265
6.9%
4 239
 
6.2%
1 237
 
6.2%
8 215
 
5.6%
Other values (3) 172
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

지번주소
Text

MISSING 

Distinct290
Distinct (%)90.6%
Missing170
Missing (%)34.7%
Memory size4.0 KiB
2024-05-11T17:33:01.752696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length27.29375
Min length13

Characters and Unicode

Total characters8734
Distinct characters323
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

Unique263 ?
Unique (%)82.2%

Sample

1st row서울특별시 강남구 도곡동 ***
2nd row서울특별시 동대문구 신설동 **-**
3rd row서울특별시 금천구 가산동 **-* 대륭포스트타워 *차
4th row서울특별시 강남구 역삼동 ***-*번지
5th row서울특별시 강남구 역삼동 ***-**
ValueCountFrequency (%)
서울특별시 308
18.6%
번지 171
 
10.3%
143
 
8.6%
강남구 78
 
4.7%
호 78
 
4.7%
서초구 45
 
2.7%
마포구 31
 
1.9%
역삼동 26
 
1.6%
강서구 26
 
1.6%
서초동 23
 
1.4%
Other values (357) 726
43.9%
2024-05-11T17:33:02.152703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1608
18.4%
1463
16.8%
서 435
 
5.0%
동 368
 
4.2%
구 335
 
3.8%
시 329
 
3.8%
울 319
 
3.7%
특 308
 
3.5%
별 308
 
3.5%
- 253
 
2.9%
Other values (313) 3008
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5266
60.3%
Other Punctuation 1611
 
18.4%
Space Separator 1463
 
16.8%
Dash Punctuation 253
 
2.9%
Uppercase Letter 72
 
0.8%
Decimal Number 32
 
0.4%
Lowercase Letter 29
 
0.3%
Letter Number 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 435
 
8.3%
동 368
 
7.0%
구 335
 
6.4%
시 329
 
6.2%
울 319
 
6.1%
특 308
 
5.8%
별 308
 
5.8%
지 201
 
3.8%
번 171
 
3.2%
강 113
 
2.1%
Other values (266) 2379
45.2%
Uppercase Letter
ValueCountFrequency (%)
T 11
15.3%
S 8
11.1%
A 8
11.1%
I 6
8.3%
L 5
 
6.9%
V 5
 
6.9%
K 5
 
6.9%
O 4
 
5.6%
R 4
 
5.6%
B 3
 
4.2%
Other values (8) 13
18.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
24.1%
r 5
17.2%
o 4
13.8%
w 3
10.3%
c 2
 
6.9%
n 2
 
6.9%
t 2
 
6.9%
s 1
 
3.4%
i 1
 
3.4%
a 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
2 8
25.0%
6 4
12.5%
3 4
12.5%
1 3
 
9.4%
0 3
 
9.4%
8 3
 
9.4%
5 2
 
6.2%
9 2
 
6.2%
4 2
 
6.2%
7 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
* 1608
99.8%
, 2
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5266
60.3%
Common 3363
38.5%
Latin 105
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 435
 
8.3%
동 368
 
7.0%
구 335
 
6.4%
시 329
 
6.2%
울 319
 
6.1%
특 308
 
5.8%
별 308
 
5.8%
지 201
 
3.8%
번 171
 
3.2%
강 113
 
2.1%
Other values (266) 2379
45.2%
Latin
ValueCountFrequency (%)
T 11
 
10.5%
S 8
 
7.6%
A 8
 
7.6%
e 7
 
6.7%
I 6
 
5.7%
r 5
 
4.8%
L 5
 
4.8%
V 5
 
4.8%
K 5
 
4.8%
O 4
 
3.8%
Other values (20) 41
39.0%
Common
ValueCountFrequency (%)
* 1608
47.8%
1463
43.5%
- 253
 
7.5%
2 8
 
0.2%
6 4
 
0.1%
3 4
 
0.1%
1 3
 
0.1%
0 3
 
0.1%
8 3
 
0.1%
5 2
 
0.1%
Other values (7) 12
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5266
60.3%
ASCII 3464
39.7%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1608
46.4%
1463
42.2%
- 253
 
7.3%
T 11
 
0.3%
S 8
 
0.2%
2 8
 
0.2%
A 8
 
0.2%
e 7
 
0.2%
I 6
 
0.2%
r 5
 
0.1%
Other values (36) 87
 
2.5%
Hangul
ValueCountFrequency (%)
서 435
 
8.3%
동 368
 
7.0%
구 335
 
6.4%
시 329
 
6.2%
울 319
 
6.1%
특 308
 
5.8%
별 308
 
5.8%
지 201
 
3.8%
번 171
 
3.2%
강 113
 
2.1%
Other values (266) 2379
45.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

도로명주소
Text

MISSING 

Distinct439
Distinct (%)92.2%
Missing14
Missing (%)2.9%
Memory size4.0 KiB
2024-05-11T17:33:02.392885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length35.338235
Min length20

Characters and Unicode

Total characters16821
Distinct characters382
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)85.1%

Sample

1st row서울특별시 강남구 논현로**길 *, *층 (도곡동)
2nd row서울특별시 동대문구 왕산로 **(신설동)
3rd row서울특별시 금천구 디지털로*길 **, 대륭포스트타워 *차 ****호 (가산동)
4th row서울특별시 강남구 테헤란로 *** (역삼동, 강남파이낸스센터 *층)
5th row서울특별시 강남구 테헤란로**길 **, ****호 (역삼동)
ValueCountFrequency (%)
468
 
14.5%
서울특별시 462
 
14.3%
호 247
 
7.7%
층 131
 
4.1%
강남구 103
 
3.2%
서초구 57
 
1.8%
송파구 50
 
1.6%
영등포구 42
 
1.3%
마포구 38
 
1.2%
역삼동 37
 
1.1%
Other values (723) 1587
49.3%
2024-05-11T17:33:02.772331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2748
 
16.3%
2746
 
16.3%
서 643
 
3.8%
동 614
 
3.7%
로 540
 
3.2%
구 508
 
3.0%
시 493
 
2.9%
, 492
 
2.9%
) 476
 
2.8%
( 476
 
2.8%
Other values (372) 7085
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9626
57.2%
Other Punctuation 3241
 
19.3%
Space Separator 2746
 
16.3%
Close Punctuation 476
 
2.8%
Open Punctuation 476
 
2.8%
Uppercase Letter 106
 
0.6%
Dash Punctuation 57
 
0.3%
Decimal Number 56
 
0.3%
Lowercase Letter 31
 
0.2%
Letter Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 643
 
6.7%
동 614
 
6.4%
로 540
 
5.6%
구 508
 
5.3%
시 493
 
5.1%
울 475
 
4.9%
특 462
 
4.8%
별 462
 
4.8%
호 281
 
2.9%
길 208
 
2.2%
Other values (322) 4940
51.3%
Uppercase Letter
ValueCountFrequency (%)
A 13
12.3%
T 13
12.3%
B 9
 
8.5%
L 8
 
7.5%
S 8
 
7.5%
I 7
 
6.6%
C 7
 
6.6%
O 6
 
5.7%
R 5
 
4.7%
K 5
 
4.7%
Other values (10) 25
23.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
29.0%
r 5
16.1%
o 4
12.9%
w 3
 
9.7%
n 2
 
6.5%
c 2
 
6.5%
t 2
 
6.5%
i 1
 
3.2%
s 1
 
3.2%
a 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 18
32.1%
3 6
 
10.7%
2 6
 
10.7%
0 6
 
10.7%
5 5
 
8.9%
4 5
 
8.9%
8 4
 
7.1%
9 3
 
5.4%
6 2
 
3.6%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
* 2748
84.8%
, 492
 
15.2%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9626
57.2%
Common 7054
41.9%
Latin 141
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 643
 
6.7%
동 614
 
6.4%
로 540
 
5.6%
구 508
 
5.3%
시 493
 
5.1%
울 475
 
4.9%
특 462
 
4.8%
별 462
 
4.8%
호 281
 
2.9%
길 208
 
2.2%
Other values (322) 4940
51.3%
Latin
ValueCountFrequency (%)
A 13
 
9.2%
T 13
 
9.2%
B 9
 
6.4%
e 9
 
6.4%
L 8
 
5.7%
S 8
 
5.7%
I 7
 
5.0%
C 7
 
5.0%
O 6
 
4.3%
R 5
 
3.5%
Other values (22) 56
39.7%
Common
ValueCountFrequency (%)
* 2748
39.0%
2746
38.9%
, 492
 
7.0%
) 476
 
6.7%
( 476
 
6.7%
- 57
 
0.8%
1 18
 
0.3%
3 6
 
0.1%
2 6
 
0.1%
0 6
 
0.1%
Other values (8) 23
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9626
57.2%
ASCII 7191
42.8%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2748
38.2%
2746
38.2%
, 492
 
6.8%
) 476
 
6.6%
( 476
 
6.6%
- 57
 
0.8%
1 18
 
0.3%
A 13
 
0.2%
T 13
 
0.2%
B 9
 
0.1%
Other values (39) 143
 
2.0%
Hangul
ValueCountFrequency (%)
서 643
 
6.7%
동 614
 
6.4%
로 540
 
5.6%
구 508
 
5.3%
시 493
 
5.1%
울 475
 
4.9%
특 462
 
4.8%
별 462
 
4.8%
호 281
 
2.9%
길 208
 
2.2%
Other values (322) 4940
51.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct238
Distinct (%)76.8%
Missing180
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean8341.0774
Minimum1062
Maximum150903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:33:02.887426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1062
5-th percentile3174
Q15663
median6254.5
Q37333
95-th percentile10427.4
Maximum150903
Range149841
Interquartile range (IQR)1670

Descriptive statistics

Standard deviation15461.862
Coefficient of variation (CV)1.8537008
Kurtosis71.120491
Mean8341.0774
Median Absolute Deviation (MAD)958
Skewness8.3726003
Sum2585734
Variance2.3906918 × 108
MonotonicityNot monotonic
2024-05-11T17:33:03.008897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5719 5
 
1.0%
5838 5
 
1.0%
5854 4
 
0.8%
6775 4
 
0.8%
6253 4
 
0.8%
7238 3
 
0.6%
5544 3
 
0.6%
5855 3
 
0.6%
1842 3
 
0.6%
7333 3
 
0.6%
Other values (228) 273
55.7%
(Missing) 180
36.7%
ValueCountFrequency (%)
1062 1
 
0.2%
1842 3
0.6%
2423 1
 
0.2%
2580 1
 
0.2%
2583 1
 
0.2%
3030 1
 
0.2%
3036 1
 
0.2%
3094 1
 
0.2%
3129 1
 
0.2%
3157 2
0.4%
ValueCountFrequency (%)
150903 1
0.2%
150102 1
0.2%
140050 1
0.2%
121898 1
0.2%
24222 1
0.2%
22853 1
0.2%
22612 1
0.2%
17817 1
0.2%
17344 1
0.2%
17118 1
0.2%

사업장명
Text

Distinct395
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-11T17:33:03.197248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.9714286
Min length2

Characters and Unicode

Total characters3906
Distinct characters333
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique373 ?
Unique (%)76.1%

Sample

1st row주식회사 제이제이우드
2nd row오로라코리아주식회사
3rd row주식회사 코스메틱나인
4th row수엑코리아 유한회사
5th row스테키코리아 주식회사
ValueCountFrequency (%)
주식회사 113
 
17.6%
77
 
12.0%
유한회사 8
 
1.2%
머슈빌 3
 
0.5%
바이오매스협동조합 2
 
0.3%
에스비스틸플레이트 2
 
0.3%
코퍼레이션 2
 
0.3%
주 2
 
0.3%
주)드림이엔지 2
 
0.3%
주)동서로지스틱스 2
 
0.3%
Other values (412) 429
66.8%
2024-05-11T17:33:03.510078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 317
 
8.1%
* 225
 
5.8%
) 189
 
4.8%
( 188
 
4.8%
이 167
 
4.3%
사 153
 
3.9%
152
 
3.9%
회 142
 
3.6%
식 132
 
3.4%
스 112
 
2.9%
Other values (323) 2129
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3110
79.6%
Other Punctuation 229
 
5.9%
Close Punctuation 189
 
4.8%
Open Punctuation 188
 
4.8%
Space Separator 152
 
3.9%
Uppercase Letter 25
 
0.6%
Lowercase Letter 11
 
0.3%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 317
 
10.2%
이 167
 
5.4%
사 153
 
4.9%
회 142
 
4.6%
식 132
 
4.2%
스 112
 
3.6%
에 89
 
2.9%
코 66
 
2.1%
아 66
 
2.1%
리 50
 
1.6%
Other values (295) 1816
58.4%
Uppercase Letter
ValueCountFrequency (%)
L 4
16.0%
G 4
16.0%
H 3
12.0%
K 2
8.0%
C 2
8.0%
E 2
8.0%
R 2
8.0%
P 2
8.0%
I 1
 
4.0%
J 1
 
4.0%
Other values (2) 2
8.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
18.2%
e 2
18.2%
n 2
18.2%
u 1
9.1%
a 1
9.1%
o 1
9.1%
r 1
9.1%
t 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 225
98.3%
. 2
 
0.9%
& 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3109
79.6%
Common 759
 
19.4%
Latin 36
 
0.9%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 317
 
10.2%
이 167
 
5.4%
사 153
 
4.9%
회 142
 
4.6%
식 132
 
4.2%
스 112
 
3.6%
에 89
 
2.9%
코 66
 
2.1%
아 66
 
2.1%
리 50
 
1.6%
Other values (294) 1815
58.4%
Latin
ValueCountFrequency (%)
L 4
 
11.1%
G 4
 
11.1%
H 3
 
8.3%
K 2
 
5.6%
m 2
 
5.6%
e 2
 
5.6%
n 2
 
5.6%
C 2
 
5.6%
E 2
 
5.6%
R 2
 
5.6%
Other values (10) 11
30.6%
Common
ValueCountFrequency (%)
* 225
29.6%
) 189
24.9%
( 188
24.8%
152
20.0%
. 2
 
0.3%
& 2
 
0.3%
- 1
 
0.1%
Han
ValueCountFrequency (%)
林 1
50.0%
舒 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3108
79.6%
ASCII 795
 
20.4%
CJK 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 317
 
10.2%
이 167
 
5.4%
사 153
 
4.9%
회 142
 
4.6%
식 132
 
4.2%
스 112
 
3.6%
에 89
 
2.9%
코 66
 
2.1%
아 66
 
2.1%
리 50
 
1.6%
Other values (293) 1814
58.4%
ASCII
ValueCountFrequency (%)
* 225
28.3%
) 189
23.8%
( 188
23.6%
152
19.1%
L 4
 
0.5%
G 4
 
0.5%
H 3
 
0.4%
K 2
 
0.3%
m 2
 
0.3%
e 2
 
0.3%
Other values (17) 24
 
3.0%
CJK
ValueCountFrequency (%)
林 1
50.0%
舒 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct490
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2013-11-22 09:57:06
Maximum2024-05-03 14:07:33
2024-05-11T17:33:03.625371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:33:03.746609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
I
320 
U
101 
D
69 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 320
65.3%
U 101
 
20.6%
D 69
 
14.1%

Length

2024-05-11T17:33:03.861587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:03.954098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 320
65.3%
u 101
 
20.6%
d 69
 
14.1%

데이터갱신일자
Date

Distinct223
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T17:33:04.062173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:33:04.184291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing490
Missing (%)100.0%
Memory size4.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct405
Distinct (%)84.4%
Missing10
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean199401.63
Minimum167494.42
Maximum264073.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:33:04.300603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum167494.42
5-th percentile185844.9
Q1192884.79
median201575.87
Q3204558.97
95-th percentile210749
Maximum264073.14
Range96578.72
Interquartile range (IQR)11674.184

Descriptive statistics

Standard deviation8641.8809
Coefficient of variation (CV)0.043339068
Kurtosis6.5395453
Mean199401.63
Median Absolute Deviation (MAD)5819.3646
Skewness0.63555885
Sum95712783
Variance74682105
MonotonicityNot monotonic
2024-05-11T17:33:04.413580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210491.321883503 4
 
0.8%
205340.631121567 4
 
0.8%
208937.760652081 4
 
0.8%
190125.564768858 3
 
0.6%
210749.0 3
 
0.6%
194561.746032498 3
 
0.6%
210986.460698452 3
 
0.6%
209929.574783236 3
 
0.6%
205527.23263448 3
 
0.6%
189700.355755718 3
 
0.6%
Other values (395) 447
91.2%
(Missing) 10
 
2.0%
ValueCountFrequency (%)
167494.421823002 1
0.2%
169445.090631316 1
0.2%
179648.402522567 1
0.2%
180931.485057032 1
0.2%
181158.0 1
0.2%
182956.84723355 1
0.2%
182988.02347767 1
0.2%
183269.526391991 1
0.2%
183298.883517107 2
0.4%
183386.936527485 1
0.2%
ValueCountFrequency (%)
264073.141502002 1
0.2%
238174.71335943 1
0.2%
214134.368957875 1
0.2%
214042.983006693 1
0.2%
213765.4840407 1
0.2%
213593.137875629 2
0.4%
212100.198596799 1
0.2%
211731.663917685 1
0.2%
211684.1233633 2
0.4%
211505.466300804 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct405
Distinct (%)84.4%
Missing10
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean446303.62
Minimum404352.02
Maximum489801.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:33:04.537827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum404352.02
5-th percentile441161.97
Q1443421.32
median445801.8
Q3449420.99
95-th percentile452621.87
Maximum489801.78
Range85449.763
Interquartile range (IQR)5999.6733

Descriptive statistics

Standard deviation5236.1872
Coefficient of variation (CV)0.011732343
Kurtosis19.899186
Mean446303.62
Median Absolute Deviation (MAD)2874.8769
Skewness-0.16494102
Sum2.1422574 × 108
Variance27417656
MonotonicityNot monotonic
2024-05-11T17:33:04.642965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443569.763243482 4
 
0.8%
445354.571117445 4
 
0.8%
442873.588039887 4
 
0.8%
453090.149821248 3
 
0.6%
442560.0 3
 
0.6%
446364.318286465 3
 
0.6%
441725.293491662 3
 
0.6%
446085.121305444 3
 
0.6%
445571.959914778 3
 
0.6%
446888.903509382 3
 
0.6%
Other values (395) 447
91.2%
(Missing) 10
 
2.0%
ValueCountFrequency (%)
404352.018405286 1
0.2%
421701.770212023 1
0.2%
425189.828562703 1
0.2%
425838.194932826 1
0.2%
426045.21096435 1
0.2%
428774.799450215 1
0.2%
437914.06299827 2
0.4%
438208.7591953 1
0.2%
439023.167125842 1
0.2%
439960.533113874 2
0.4%
ValueCountFrequency (%)
489801.781644027 1
0.2%
462829.18165682 1
0.2%
462183.736476959 1
0.2%
461199.213987856 1
0.2%
459484.0 1
0.2%
459411.940883021 1
0.2%
458280.404547355 2
0.4%
458216.113173495 1
0.2%
455801.638525525 1
0.2%
455746.339998597 1
0.2%

목재생산업구분코드명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
목재수입유통업
311 
<NA>
179 

Length

Max length7
Median length7
Mean length5.9040816
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
목재수입유통업 311
63.5%
<NA> 179
36.5%

Length

2024-05-11T17:33:04.748068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:04.833261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목재수입유통업 311
63.5%
na 179
36.5%

목재생산업종류명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing485
Missing (%)99.0%
Memory size4.0 KiB
2024-05-11T17:33:04.911367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters10
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row2종
2nd row1종
3rd row1종
4th row3종
5th row1종
ValueCountFrequency (%)
1종 3
60.0%
2종 1
 
20.0%
3종 1
 
20.0%
2024-05-11T17:33:05.099327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 5
50.0%
1 3
30.0%
2 1
 
10.0%
3 1
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
50.0%
Decimal Number 5
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
3 1
 
20.0%
Other Letter
ValueCountFrequency (%)
종 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
50.0%
Common 5
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
3 1
 
20.0%
Hangul
ValueCountFrequency (%)
종 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
50.0%
ASCII 5
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 5
100.0%
ASCII
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
3 1
 
20.0%

취급목재제품
Text

MISSING 

Distinct143
Distinct (%)49.7%
Missing202
Missing (%)41.2%
Memory size4.0 KiB
2024-05-11T17:33:05.575799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length26
Mean length7.0520833
Min length1

Characters and Unicode

Total characters2031
Distinct characters164
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

Unique114 ?
Unique (%)39.6%

Sample

1st row펠릿
2nd row목재펠릿
3rd row목탄
4th row목탄, 성형목탄
5th row우드펠릿, PKS
ValueCountFrequency (%)
목재펠릿 78
 
15.6%
우드펠릿 43
 
8.6%
등 42
 
8.4%
목탄 25
 
5.0%
펠릿 24
 
4.8%
톱밥 20
 
4.0%
우드칩 15
 
3.0%
숯 14
 
2.8%
제재목 13
 
2.6%
목재팰릿 12
 
2.4%
Other values (128) 213
42.7%
2024-05-11T17:33:05.901902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
목 219
 
10.8%
211
 
10.4%
재 171
 
8.4%
릿 167
 
8.2%
펠 163
 
8.0%
, 154
 
7.6%
드 79
 
3.9%
우 76
 
3.7%
탄 55
 
2.7%
등 42
 
2.1%
Other values (154) 694
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1493
73.5%
Space Separator 211
 
10.4%
Other Punctuation 155
 
7.6%
Uppercase Letter 75
 
3.7%
Lowercase Letter 55
 
2.7%
Close Punctuation 18
 
0.9%
Open Punctuation 18
 
0.9%
Decimal Number 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
목 219
14.7%
재 171
 
11.5%
릿 167
 
11.2%
펠 163
 
10.9%
드 79
 
5.3%
우 76
 
5.1%
탄 55
 
3.7%
등 42
 
2.8%
칩 32
 
2.1%
성 30
 
2.0%
Other values (107) 459
30.7%
Uppercase Letter
ValueCountFrequency (%)
P 11
14.7%
S 9
12.0%
B 7
9.3%
O 6
 
8.0%
M 5
 
6.7%
F 5
 
6.7%
K 4
 
5.3%
T 4
 
5.3%
D 4
 
5.3%
R 3
 
4.0%
Other values (9) 17
22.7%
Lowercase Letter
ValueCountFrequency (%)
o 9
16.4%
a 6
10.9%
e 5
9.1%
l 4
 
7.3%
i 4
 
7.3%
d 4
 
7.3%
t 3
 
5.5%
r 3
 
5.5%
y 3
 
5.5%
s 3
 
5.5%
Other values (8) 11
20.0%
Decimal Number
ValueCountFrequency (%)
8 1
25.0%
7 1
25.0%
3 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 154
99.4%
? 1
 
0.6%
Space Separator
ValueCountFrequency (%)
211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1492
73.5%
Common 408
 
20.1%
Latin 130
 
6.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
목 219
14.7%
재 171
 
11.5%
릿 167
 
11.2%
펠 163
 
10.9%
드 79
 
5.3%
우 76
 
5.1%
탄 55
 
3.7%
등 42
 
2.8%
칩 32
 
2.1%
성 30
 
2.0%
Other values (106) 458
30.7%
Latin
ValueCountFrequency (%)
P 11
 
8.5%
S 9
 
6.9%
o 9
 
6.9%
B 7
 
5.4%
O 6
 
4.6%
a 6
 
4.6%
M 5
 
3.8%
e 5
 
3.8%
F 5
 
3.8%
K 4
 
3.1%
Other values (27) 63
48.5%
Common
ValueCountFrequency (%)
211
51.7%
, 154
37.7%
) 18
 
4.4%
( 18
 
4.4%
- 2
 
0.5%
8 1
 
0.2%
7 1
 
0.2%
3 1
 
0.2%
? 1
 
0.2%
0 1
 
0.2%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1492
73.5%
ASCII 538
 
26.5%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
목 219
14.7%
재 171
 
11.5%
릿 167
 
11.2%
펠 163
 
10.9%
드 79
 
5.3%
우 76
 
5.1%
탄 55
 
3.7%
등 42
 
2.8%
칩 32
 
2.1%
성 30
 
2.0%
Other values (106) 458
30.7%
ASCII
ValueCountFrequency (%)
211
39.2%
, 154
28.6%
) 18
 
3.3%
( 18
 
3.3%
P 11
 
2.0%
S 9
 
1.7%
o 9
 
1.7%
B 7
 
1.3%
O 6
 
1.1%
a 6
 
1.1%
Other values (37) 89
16.5%
CJK
ValueCountFrequency (%)
外 1
100.0%

인력보유현황
Categorical

IMBALANCE 

Distinct32
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
356 
1
 
28
2
 
21
3명
 
11
2명
 
11
Other values (27)
63 

Length

Max length8
Median length4
Mean length3.4204082
Min length1

Unique

Unique16 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 356
72.7%
1 28
 
5.7%
2 21
 
4.3%
3명 11
 
2.2%
2명 11
 
2.2%
1명 8
 
1.6%
3 8
 
1.6%
4명 5
 
1.0%
5명 5
 
1.0%
4 5
 
1.0%
Other values (22) 32
 
6.5%

Length

2024-05-11T17:33:06.044409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 356
70.6%
1 28
 
5.6%
2 21
 
4.2%
3명 13
 
2.6%
2명 11
 
2.2%
1명 8
 
1.6%
3 8
 
1.6%
4명 7
 
1.4%
5명 6
 
1.2%
등 6
 
1.2%
Other values (23) 40
 
7.9%

년간생산량
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)32.1%
Missing269
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean210764.99
Minimum0
Maximum16000000
Zeros12
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:33:06.178878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1500
median8000
Q350000
95-th percentile300000
Maximum16000000
Range16000000
Interquartile range (IQR)49500

Descriptive statistics

Standard deviation1480743.4
Coefficient of variation (CV)7.0255666
Kurtosis103.84393
Mean210764.99
Median Absolute Deviation (MAD)7946
Skewness10.143738
Sum46579062
Variance2.1926012 × 1012
MonotonicityNot monotonic
2024-05-11T17:33:06.319398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000 14
 
2.9%
100 13
 
2.7%
3000 13
 
2.7%
10000 12
 
2.4%
50000 12
 
2.4%
0 12
 
2.4%
2000 9
 
1.8%
200000 9
 
1.8%
100000 8
 
1.6%
5000 7
 
1.4%
Other values (61) 112
22.9%
(Missing) 269
54.9%
ValueCountFrequency (%)
0 12
2.4%
4 1
 
0.2%
10 1
 
0.2%
14 1
 
0.2%
21 1
 
0.2%
23 1
 
0.2%
36 1
 
0.2%
50 1
 
0.2%
54 1
 
0.2%
70 2
 
0.4%
ValueCountFrequency (%)
16000000 1
 
0.2%
15000000 1
 
0.2%
2000000 1
 
0.2%
1500000 2
0.4%
700000 1
 
0.2%
600000 1
 
0.2%
500000 2
0.4%
400000 1
 
0.2%
300000 3
0.6%
250000 2
0.4%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)23.8%
Missing250
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean4920096
Minimum0
Maximum8 × 108
Zeros12
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T17:33:06.444404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q150
median100
Q3221.5
95-th percentile5130
Maximum8 × 108
Range8 × 108
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation53245715
Coefficient of variation (CV)10.822089
Kurtosis210.59516
Mean4920096
Median Absolute Deviation (MAD)80
Skewness14.181066
Sum1.180823 × 109
Variance2.8351061 × 1015
MonotonicityNot monotonic
2024-05-11T17:33:06.574111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 52
 
10.6%
100 41
 
8.4%
300 19
 
3.9%
10 18
 
3.7%
200 12
 
2.4%
0 12
 
2.4%
150 7
 
1.4%
5 6
 
1.2%
20 6
 
1.2%
30 4
 
0.8%
Other values (47) 63
 
12.9%
(Missing) 250
51.0%
ValueCountFrequency (%)
0 12
2.4%
1 4
 
0.8%
2 2
 
0.4%
3 1
 
0.2%
5 6
 
1.2%
10 18
3.7%
15 1
 
0.2%
20 6
 
1.2%
22 1
 
0.2%
30 4
 
0.8%
ValueCountFrequency (%)
800000000 1
0.2%
150000000 1
0.2%
100000000 2
0.4%
30000000 1
0.2%
228827 1
0.2%
163000 1
0.2%
158946 1
0.2%
137340 1
0.2%
59900 1
0.2%
24272 1
0.2%

상태구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
영업
311 
<NA>
179 

Length

Max length4
Median length2
Mean length2.7306122
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 311
63.5%
<NA> 179
36.5%

Length

2024-05-11T17:33:06.713354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:33:06.804026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 311
63.5%
na 179
36.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)목재생산업구분코드명목재생산업종류명취급목재제품인력보유현황년간생산량자본금상태구분명
032200003220000902023000042023-02-28<NA>1영업/정상1정상<NA><NA><NA><NA>02-571-0008<NA><NA>서울특별시 강남구 도곡동 ***서울특별시 강남구 논현로**길 *, *층 (도곡동)6296주식회사 제이제이우드2023-02-28 17:31:54I2022-12-03 00:03:00.0<NA>203653.527717442542.150411<NA><NA><NA><NA><NA><NA><NA>
130500003050000902023000012023-03-14<NA>1영업/정상1정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 **-**서울특별시 동대문구 왕산로 **(신설동)2580오로라코리아주식회사2023-03-14 11:33:51I2022-12-02 23:06:00.0<NA>202116.938317452677.08002<NA><NA><NA><NA><NA><NA><NA>
231700003170000902019000042019-08-30<NA>1영업/정상1정상<NA><NA><NA><NA>02-861-8876<NA><NA>서울특별시 금천구 가산동 **-* 대륭포스트타워 *차서울특별시 금천구 디지털로*길 **, 대륭포스트타워 *차 ****호 (가산동)8512주식회사 코스메틱나인2023-03-28 10:57:54U2022-12-02 21:00:00.0<NA>189877.178944442093.648597<NA><NA><NA><NA><NA><NA><NA>
332200003220000902015000012015-01-29<NA>1영업/정상1정상<NA><NA><NA><NA>02-2112-5173<NA><NA><NA>서울특별시 강남구 테헤란로 *** (역삼동, 강남파이낸스센터 *층)<NA>수엑코리아 유한회사2023-05-15 12:59:53U2022-12-04 22:06:00.0<NA>203169.223281444178.357262<NA><NA><NA><NA><NA><NA><NA>
432200003220000902013000132013-12-06<NA>1영업/정상1정상<NA><NA><NA><NA>02-539-4915<NA><NA>서울특별시 강남구 역삼동 ***-*번지서울특별시 강남구 테헤란로**길 **, ****호 (역삼동)<NA>스테키코리아 주식회사2023-07-12 17:46:52D2022-12-06 23:04:00.0<NA>203093.752916444017.880948<NA><NA><NA><NA><NA><NA><NA>
532200003220000902023000062023-05-01<NA>1영업/정상1정상<NA><NA><NA><NA>02-566-7890<NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 논현로**길 **, 강남루덴스 ***호 (역삼동)6234주식회사 알앤티트레이딩2023-05-01 16:31:07I2022-12-05 00:03:00.0<NA>202867.25443984.395<NA><NA><NA><NA><NA><NA><NA>
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