Overview

Dataset statistics

Number of variables11
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory96.6 B

Variable types

Categorical4
Numeric3
Text3
DateTime1

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://www.bigdata-region.kr/#/dataset/6707b326-4925-4bfa-80eb-c85404675eb4

Alerts

기준년월 has constant value ""Constant
고용보험1순번 has constant value ""Constant
등록일자 has constant value ""Constant
작업자명 has constant value ""Constant
고용보험2순번 has unique valuesUnique
전체주소 has unique valuesUnique
우편번호 has unique valuesUnique
설립일자 has unique valuesUnique
종업원수 has 3 (10.3%) zerosZeros

Reproduction

Analysis started2023-12-10 13:51:29.426308
Analysis finished2023-12-10 13:51:31.691360
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2018-11
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-11
2nd row2018-11
3rd row2018-11
4th row2018-11
5th row2018-11

Common Values

ValueCountFrequency (%)
2018-11 29
100.0%

Length

2023-12-10T22:51:31.788574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:51:31.940071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-11 29
100.0%

고용보험1순번
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
22
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row22
3rd row22
4th row22
5th row22

Common Values

ValueCountFrequency (%)
22 29
100.0%

Length

2023-12-10T22:51:32.072844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:51:32.191284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22 29
100.0%

고용보험2순번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15689.552
Minimum12735
Maximum19303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:51:32.321361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12735
5-th percentile12808.4
Q113600
median15392
Q318241
95-th percentile19208.2
Maximum19303
Range6568
Interquartile range (IQR)4641

Descriptive statistics

Standard deviation2286.0796
Coefficient of variation (CV)0.14570714
Kurtosis-1.3068963
Mean15689.552
Median Absolute Deviation (MAD)1872
Skewness0.34612442
Sum454997
Variance5226160.1
MonotonicityStrictly increasing
2023-12-10T22:51:32.507937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
12735 1
 
3.4%
12750 1
 
3.4%
19303 1
 
3.4%
19285 1
 
3.4%
19093 1
 
3.4%
18829 1
 
3.4%
18828 1
 
3.4%
18679 1
 
3.4%
18564 1
 
3.4%
18241 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
12735 1
3.4%
12750 1
3.4%
12896 1
3.4%
12973 1
3.4%
13088 1
3.4%
13414 1
3.4%
13520 1
3.4%
13600 1
3.4%
13895 1
3.4%
14089 1
3.4%
ValueCountFrequency (%)
19303 1
3.4%
19285 1
3.4%
19093 1
3.4%
18829 1
3.4%
18828 1
3.4%
18679 1
3.4%
18564 1
3.4%
18241 1
3.4%
16802 1
3.4%
16429 1
3.4%

전체주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:51:33.002346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length31.310345
Min length20

Characters and Unicode

Total characters908
Distinct characters164
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row서울 마포구 토정로 313-1 1층 일부호 (용강동)
2nd row서울 성동구 자동차시장1길 25 (용답동)
3rd row서울 용산구 청파로47나길 4 (청파동2가)
4th row충청북도 청주시흥덕구 진재로108 (복대동 2층)
5th row경기 광주시 통미로 108 (탄벌동)
ValueCountFrequency (%)
서울 7
 
3.7%
1층 4
 
2.1%
마포구 4
 
2.1%
2층 4
 
2.1%
경기 3
 
1.6%
대구 3
 
1.6%
부산 3
 
1.6%
인천광역시 3
 
1.6%
4 2
 
1.1%
서구 2
 
1.1%
Other values (146) 153
81.4%
2023-12-10T22:51:33.801804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
19.9%
1 45
 
5.0%
동 39
 
4.3%
( 28
 
3.1%
) 28
 
3.1%
로 28
 
3.1%
구 27
 
3.0%
2 25
 
2.8%
0 22
 
2.4%
시 19
 
2.1%
Other values (154) 466
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
54.7%
Space Separator 181
 
19.9%
Decimal Number 157
 
17.3%
Open Punctuation 28
 
3.1%
Close Punctuation 28
 
3.1%
Dash Punctuation 8
 
0.9%
Uppercase Letter 6
 
0.7%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
7.8%
로 28
 
5.6%
구 27
 
5.4%
시 19
 
3.8%
층 13
 
2.6%
서 12
 
2.4%
대 11
 
2.2%
호 11
 
2.2%
울 10
 
2.0%
길 10
 
2.0%
Other values (133) 317
63.8%
Decimal Number
ValueCountFrequency (%)
1 45
28.7%
2 25
15.9%
0 22
14.0%
4 17
 
10.8%
3 14
 
8.9%
5 9
 
5.7%
6 8
 
5.1%
8 7
 
4.5%
7 5
 
3.2%
9 5
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
S 1
 
16.7%
M 1
 
16.7%
D 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
y 1
33.3%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
54.7%
Common 402
44.3%
Latin 9
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
7.8%
로 28
 
5.6%
구 27
 
5.4%
시 19
 
3.8%
층 13
 
2.6%
서 12
 
2.4%
대 11
 
2.2%
호 11
 
2.2%
울 10
 
2.0%
길 10
 
2.0%
Other values (133) 317
63.8%
Common
ValueCountFrequency (%)
181
45.0%
1 45
 
11.2%
( 28
 
7.0%
) 28
 
7.0%
2 25
 
6.2%
0 22
 
5.5%
4 17
 
4.2%
3 14
 
3.5%
5 9
 
2.2%
- 8
 
2.0%
Other values (4) 25
 
6.2%
Latin
ValueCountFrequency (%)
C 3
33.3%
t 1
 
11.1%
y 1
 
11.1%
i 1
 
11.1%
S 1
 
11.1%
M 1
 
11.1%
D 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
54.7%
ASCII 411
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
44.0%
1 45
 
10.9%
( 28
 
6.8%
) 28
 
6.8%
2 25
 
6.1%
0 22
 
5.4%
4 17
 
4.1%
3 14
 
3.4%
5 9
 
2.2%
- 8
 
1.9%
Other values (11) 34
 
8.3%
Hangul
ValueCountFrequency (%)
동 39
 
7.8%
로 28
 
5.6%
구 27
 
5.4%
시 19
 
3.8%
층 13
 
2.6%
서 12
 
2.4%
대 11
 
2.2%
호 11
 
2.2%
울 10
 
2.0%
길 10
 
2.0%
Other values (133) 317
63.8%

업종명
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:51:34.161415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length11.793103
Min length3

Characters and Unicode

Total characters342
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)72.4%

Sample

1st row기타 주점업
2nd row기타 일반 및 생활 숙박시설 운영업
3rd row중식 음식점업
4th row노래연습장 운영업
5th row여관업
ValueCountFrequency (%)
음식점업 8
 
8.0%
일반 8
 
8.0%
기타 8
 
8.0%
및 7
 
7.0%
한식 6
 
6.0%
도매업 5
 
5.0%
제조업 4
 
4.0%
운영업 2
 
2.0%
금속제품 2
 
2.0%
장신구 2
 
2.0%
Other values (45) 48
48.0%
2023-12-10T22:51:35.223239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
21.3%
업 28
 
8.2%
식 16
 
4.7%
일 11
 
3.2%
반 10
 
2.9%
점 10
 
2.9%
기 10
 
2.9%
음 8
 
2.3%
타 8
 
2.3%
도 7
 
2.0%
Other values (83) 161
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
78.4%
Space Separator 73
 
21.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 28
 
10.4%
식 16
 
6.0%
일 11
 
4.1%
반 10
 
3.7%
점 10
 
3.7%
기 10
 
3.7%
음 8
 
3.0%
타 8
 
3.0%
도 7
 
2.6%
조 7
 
2.6%
Other values (81) 153
57.1%
Space Separator
ValueCountFrequency (%)
73
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
78.4%
Common 74
 
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 28
 
10.4%
식 16
 
6.0%
일 11
 
4.1%
반 10
 
3.7%
점 10
 
3.7%
기 10
 
3.7%
음 8
 
3.0%
타 8
 
3.0%
도 7
 
2.6%
조 7
 
2.6%
Other values (81) 153
57.1%
Common
ValueCountFrequency (%)
73
98.6%
1 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
78.4%
ASCII 74
 
21.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
98.6%
1 1
 
1.4%
Hangul
ValueCountFrequency (%)
업 28
 
10.4%
식 16
 
6.0%
일 11
 
4.1%
반 10
 
3.7%
점 10
 
3.7%
기 10
 
3.7%
음 8
 
3.0%
타 8
 
3.0%
도 7
 
2.6%
조 7
 
2.6%
Other values (81) 153
57.1%

우편번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26321.207
Minimum3198
Maximum63281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:51:35.487736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3198
5-th percentile3937.6
Q14808
median21366
Q342969
95-th percentile62716
Maximum63281
Range60083
Interquartile range (IQR)38161

Descriptive statistics

Standard deviation20458.434
Coefficient of variation (CV)0.77726047
Kurtosis-1.1726916
Mean26321.207
Median Absolute Deviation (MAD)17200
Skewness0.43745819
Sum763315
Variance4.1854751 × 108
MonotonicityNot monotonic
2023-12-10T22:51:35.674558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4166 1
 
3.4%
4808 1
 
3.4%
37668 1
 
3.4%
21071 1
 
3.4%
3958 1
 
3.4%
48498 1
 
3.4%
47551 1
 
3.4%
3961 1
 
3.4%
3198 1
 
3.4%
63216 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
3198 1
3.4%
3924 1
3.4%
3958 1
3.4%
3961 1
3.4%
4166 1
3.4%
4309 1
3.4%
4529 1
3.4%
4808 1
3.4%
6063 1
3.4%
12739 1
3.4%
ValueCountFrequency (%)
63281 1
3.4%
63216 1
3.4%
61966 1
3.4%
48498 1
3.4%
48059 1
3.4%
47808 1
3.4%
47551 1
3.4%
42969 1
3.4%
41943 1
3.4%
41712 1
3.4%

회사명
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:51:35.971022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0689655
Min length1

Characters and Unicode

Total characters60
Distinct characters42
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st row어
2nd row엘
3rd row정
4th row짱
5th row큐
ValueCountFrequency (%)
다온 2
 
6.9%
다깡 2
 
6.9%
어 1
 
3.4%
가치 1
 
3.4%
다솔 1
 
3.4%
뉴피 1
 
3.4%
누리 1
 
3.4%
남춘 1
 
3.4%
국제 1
 
3.4%
공작 1
 
3.4%
Other values (17) 17
58.6%
2023-12-10T22:51:36.510328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 5
 
8.3%
온 3
 
5.0%
가 3
 
5.0%
M 3
 
5.0%
T 3
 
5.0%
o 2
 
3.3%
e 2
 
3.3%
F 2
 
3.3%
S 2
 
3.3%
고 2
 
3.3%
Other values (32) 33
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40
66.7%
Uppercase Letter 14
 
23.3%
Lowercase Letter 5
 
8.3%
Decimal Number 1
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 5
 
12.5%
온 3
 
7.5%
가 3
 
7.5%
고 2
 
5.0%
깡 2
 
5.0%
제 1
 
2.5%
남 1
 
2.5%
화 1
 
2.5%
춘 1
 
2.5%
누 1
 
2.5%
Other values (20) 20
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
21.4%
T 3
21.4%
F 2
14.3%
S 2
14.3%
I 1
 
7.1%
J 1
 
7.1%
C 1
 
7.1%
B 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
40.0%
e 2
40.0%
r 1
20.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40
66.7%
Latin 19
31.7%
Common 1
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 5
 
12.5%
온 3
 
7.5%
가 3
 
7.5%
고 2
 
5.0%
깡 2
 
5.0%
제 1
 
2.5%
남 1
 
2.5%
화 1
 
2.5%
춘 1
 
2.5%
누 1
 
2.5%
Other values (20) 20
50.0%
Latin
ValueCountFrequency (%)
M 3
15.8%
T 3
15.8%
o 2
10.5%
e 2
10.5%
F 2
10.5%
S 2
10.5%
I 1
 
5.3%
J 1
 
5.3%
C 1
 
5.3%
r 1
 
5.3%
Common
ValueCountFrequency (%)
7 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40
66.7%
ASCII 20
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 5
 
12.5%
온 3
 
7.5%
가 3
 
7.5%
고 2
 
5.0%
깡 2
 
5.0%
제 1
 
2.5%
남 1
 
2.5%
화 1
 
2.5%
춘 1
 
2.5%
누 1
 
2.5%
Other values (20) 20
50.0%
ASCII
ValueCountFrequency (%)
M 3
15.0%
T 3
15.0%
o 2
10.0%
e 2
10.0%
F 2
10.0%
S 2
10.0%
I 1
 
5.0%
J 1
 
5.0%
C 1
 
5.0%
r 1
 
5.0%
Other values (2) 2
10.0%

종업원수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.862069
Minimum0
Maximum5
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:51:36.791452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328913
Coefficient of variation (CV)0.71367552
Kurtosis-0.36006366
Mean1.862069
Median Absolute Deviation (MAD)1
Skewness0.66258714
Sum54
Variance1.7660099
MonotonicityNot monotonic
2023-12-10T22:51:37.043079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 12
41.4%
3 5
17.2%
2 5
17.2%
4 3
 
10.3%
0 3
 
10.3%
5 1
 
3.4%
ValueCountFrequency (%)
0 3
 
10.3%
1 12
41.4%
2 5
17.2%
3 5
17.2%
4 3
 
10.3%
5 1
 
3.4%
ValueCountFrequency (%)
5 1
 
3.4%
4 3
 
10.3%
3 5
17.2%
2 5
17.2%
1 12
41.4%
0 3
 
10.3%

설립일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1999-01-12 00:00:00
Maximum2018-09-11 00:00:00
2023-12-10T22:51:37.305002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:37.512036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2018-12-11
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-12-11
2nd row2018-12-11
3rd row2018-12-11
4th row2018-12-11
5th row2018-12-11

Common Values

ValueCountFrequency (%)
2018-12-11 29
100.0%

Length

2023-12-10T22:51:37.736529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:51:37.877600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-12-11 29
100.0%

작업자명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
KED_SYSTEM
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KED_SYSTEM 29
100.0%

Length

2023-12-10T22:51:38.030971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:51:38.165800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ked_system 29
100.0%

Interactions

2023-12-10T22:51:30.872545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:29.987345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:30.432960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:31.020216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:30.138137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:30.580633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:31.172619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:30.294652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:51:30.730864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:51:38.254817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고용보험2순번전체주소업종명우편번호회사명종업원수설립일자
고용보험2순번1.0001.0000.6260.0001.0000.5251.000
전체주소1.0001.0001.0001.0001.0001.0001.000
업종명0.6261.0001.0000.8830.9770.0001.000
우편번호0.0001.0000.8831.0000.8120.4971.000
회사명1.0001.0000.9770.8121.0000.9491.000
종업원수0.5251.0000.0000.4970.9491.0001.000
설립일자1.0001.0001.0001.0001.0001.0001.000
2023-12-10T22:51:38.416292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고용보험2순번우편번호종업원수
고용보험2순번1.0000.1670.044
우편번호0.1671.000-0.109
종업원수0.044-0.1091.000

Missing values

2023-12-10T22:51:31.352748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:51:31.601481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준년월고용보험1순번고용보험2순번전체주소업종명우편번호회사명종업원수설립일자등록일자작업자명
02018-112212735서울 마포구 토정로 313-1 1층 일부호 (용강동)기타 주점업4166어32015-01-012018-12-11KED_SYSTEM
12018-112212750서울 성동구 자동차시장1길 25 (용답동)기타 일반 및 생활 숙박시설 운영업4808엘22017-12-122018-12-11KED_SYSTEM
22018-112212896서울 용산구 청파로47나길 4 (청파동2가)중식 음식점업4309정42007-11-012018-12-11KED_SYSTEM
32018-112212973충청북도 청주시흥덕구 진재로108 (복대동 2층)노래연습장 운영업28426짱02013-09-012018-12-11KED_SYSTEM
42018-112213088경기 광주시 통미로 108 (탄벌동)여관업12739큐21999-01-122018-12-11KED_SYSTEM
52018-112213414광주 서구 상무오월로3번길 4 (쌍촌동) 1층한식 일반 음식점업619667통02016-02-152018-12-11KED_SYSTEM
62018-112213520서울특별시 강남구 삼성로145길 11-6 (청담동) 2층광고물 문안 도안 설계 등 작성업6063Bro42015-06-012018-12-11KED_SYSTEM
72018-112213600경기도 수원시 영통구 신원로 304 (원천동 영통이노플렉스2단지) 3동 901호기타 반도체소자 제조업16675CTM12017-06-032018-12-11KED_SYSTEM
82018-112213895경기 부천시 경인옛로 40 (소사본동 3층)연성 및 기타 인쇄회로기판 제조업14694JSI12017-06-052018-12-11KED_SYSTEM
92018-112214089부산광역시 해운대구 센텀중앙로 90 (재송동 큐비이센텀) 본동 8층 824호화장품 및 화장용품 도매업48059MoT12014-06-242018-12-11KED_SYSTEM
기준년월고용보험1순번고용보험2순번전체주소업종명우편번호회사명종업원수설립일자등록일자작업자명
192018-112216429서울 중구 남대문시장길 45-4 우주상가 2층 40호 (남창동)의복 액세서리 및 모조 장신구 도매업4529공작32010-01-012018-12-11KED_SYSTEM
202018-112216802제주특별자치도 제주시 임항로 252-2 (건입동)일반 화물자동차 운송업63281국제42012-01-042018-12-11KED_SYSTEM
212018-112218241제주특별자치도 제주시 청귤로 12 (이도이동)한식 일반 음식점업63216남춘52015-03-242018-12-11KED_SYSTEM
222018-112218564서울 종로구 종로 266 C동 1층 1026호 (종로6가 동대문종합시장)의복 액세서리 및 모조 장신구 도매업3198누리12018-02-012018-12-11KED_SYSTEM
232018-112218679서울 마포구 방울내로 77 지층 (망원동)경 인쇄업3961뉴피02004-01-012018-12-11KED_SYSTEM
242018-112218828부산 연제구 고분로31번길 34 (연산동)한식 일반 음식점업47551다깡12017-03-012018-12-11KED_SYSTEM
252018-112218829부산 남구 용소로14번길 8 (대연동)한식 일반 음식점업48498다깡12016-12-022018-12-11KED_SYSTEM
262018-112219093서울특별시 마포구 망원로 49 (망원동 중원빌딩) 2층커튼 및 침구용품 도매업3958다솔22014-01-032018-12-11KED_SYSTEM
272018-112219285인천광역시 계양구 용종로 20 (계산동 은행마을태평아파트) 415동1102호전자상거래 소매업21071다온22018-09-112018-12-11KED_SYSTEM
282018-112219303경북 포항시 남구 지곡로 350 102동 301호 (지곡동 에드빌1차)임시 및 일용 인력 공급업37668다온32018-07-012018-12-11KED_SYSTEM