Overview

Dataset statistics

Number of variables31
Number of observations29
Missing cells106
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory258.6 B

Variable types

Numeric3
Text14
Unsupported2
Categorical10
Boolean1
DateTime1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://bigdata-region.kr/#/dataset/6c581381-0bdf-4e2e-b1ec-31ea83d55737

Alerts

기업주체명 is highly imbalanced (78.4%)Imbalance
업종직종정보명 has 29 (100.0%) missing valuesMissing
급여수준정보명 has 15 (51.7%) missing valuesMissing
상세내용 has 29 (100.0%) missing valuesMissing
상장일자 has 26 (89.7%) missing valuesMissing
홈페이지URL has 7 (24.1%) missing valuesMissing
채용공고고유번호 has unique valuesUnique
채용공고제목 has unique valuesUnique
업종직종정보명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종업원수 has 1 (3.4%) zerosZeros

Reproduction

Analysis started2023-12-10 13:53:15.397826
Analysis finished2023-12-10 13:53:16.501377
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채용공고고유번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34406752
Minimum34266496
Maximum34446996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:53:16.974056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34266496
5-th percentile34328192
Q134393414
median34418569
Q334428076
95-th percentile34443421
Maximum34446996
Range180500
Interquartile range (IQR)34662

Descriptive statistics

Standard deviation40204.885
Coefficient of variation (CV)0.0011685173
Kurtosis5.7764827
Mean34406752
Median Absolute Deviation (MAD)17477
Skewness-2.2608271
Sum9.977958 × 108
Variance1.6164328 × 109
MonotonicityNot monotonic
2023-12-10T22:53:17.267014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
34417406 1
 
3.4%
34417427 1
 
3.4%
34438115 1
 
3.4%
34436370 1
 
3.4%
34436347 1
 
3.4%
34436046 1
 
3.4%
34435251 1
 
3.4%
34428076 1
 
3.4%
34427698 1
 
3.4%
34427253 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
34266496 1
3.4%
34298194 1
3.4%
34373188 1
3.4%
34373204 1
3.4%
34385395 1
3.4%
34388717 1
3.4%
34390408 1
3.4%
34393414 1
3.4%
34400093 1
3.4%
34402654 1
3.4%
ValueCountFrequency (%)
34446996 1
3.4%
34446959 1
3.4%
34438115 1
3.4%
34436370 1
3.4%
34436347 1
3.4%
34436046 1
3.4%
34435251 1
3.4%
34428076 1
3.4%
34427698 1
3.4%
34427253 1
3.4%

사업자등록번호
Text

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:17.668839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)51.7%

Sample

1st row123-**-*****
2nd row123-**-*****
3rd row335-**-*****
4th row335-**-*****
5th row204-**-*****
ValueCountFrequency (%)
123 2
 
6.9%
129 2
 
6.9%
142 2
 
6.9%
124 2
 
6.9%
335 2
 
6.9%
204 2
 
6.9%
127 2
 
6.9%
120 1
 
3.4%
209 1
 
3.4%
133 1
 
3.4%
Other values (12) 12
41.4%
2023-12-10T22:53:18.410150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 203
58.3%
- 58
 
16.7%
1 23
 
6.6%
2 19
 
5.5%
3 13
 
3.7%
4 8
 
2.3%
7 5
 
1.4%
5 5
 
1.4%
0 5
 
1.4%
9 4
 
1.1%
Other values (2) 5
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 203
58.3%
Decimal Number 87
25.0%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
26.4%
2 19
21.8%
3 13
14.9%
4 8
 
9.2%
7 5
 
5.7%
5 5
 
5.7%
0 5
 
5.7%
9 4
 
4.6%
8 4
 
4.6%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
* 203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 203
58.3%
- 58
 
16.7%
1 23
 
6.6%
2 19
 
5.5%
3 13
 
3.7%
4 8
 
2.3%
7 5
 
1.4%
5 5
 
1.4%
0 5
 
1.4%
9 4
 
1.1%
Other values (2) 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 203
58.3%
- 58
 
16.7%
1 23
 
6.6%
2 19
 
5.5%
3 13
 
3.7%
4 8
 
2.3%
7 5
 
1.4%
5 5
 
1.4%
0 5
 
1.4%
9 4
 
1.1%
Other values (2) 5
 
1.4%

기업정보URL
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:18.871132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length75
Mean length74.103448
Min length70

Characters and Unicode

Total characters2149
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232
2nd rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232
3rd rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/49000dream?Oem_Code=C900&api=232
4th rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/49000dream?Oem_Code=C900&api=232
5th rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/smlab?Oem_Code=C900&api=232
ValueCountFrequency (%)
http://www.jobkorea.co.kr/recruit/co_read/c/dkr2011?oem_code=c900&api=232 2
 
6.9%
http://www.jobkorea.co.kr/recruit/co_read/c/sbkim5161?oem_code=c900&api=232 2
 
6.9%
http://www.jobkorea.co.kr/recruit/co_read/c/49000dream?oem_code=c900&api=232 2
 
6.9%
http://www.jobkorea.co.kr/recruit/co_read/c/texon04?oem_code=c900&api=232 2
 
6.9%
http://www.jobkorea.co.kr/recruit/co_read/c/koreafms?oem_code=c900&api=232 2
 
6.9%
http://www.jobkorea.co.kr/recruit/co_read/c/yekglass?oem_code=c900&api=232 1
 
3.4%
http://www.jobkorea.co.kr/recruit/co_read/c/ciaouno?oem_code=c900&api=232 1
 
3.4%
http://www.jobkorea.co.kr/recruit/co_read/c/autogen12?oem_code=c900&api=232 1
 
3.4%
http://www.jobkorea.co.kr/recruit/co_read/c/cfsdeo1?oem_code=c900&api=232 1
 
3.4%
http://www.jobkorea.co.kr/recruit/co_read/c/brique0901?oem_code=c900&api=232 1
 
3.4%
Other values (14) 14
48.3%
2023-12-10T22:53:19.518725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 174
 
8.1%
e 163
 
7.6%
o 159
 
7.4%
C 116
 
5.4%
a 99
 
4.6%
r 96
 
4.5%
t 93
 
4.3%
w 90
 
4.2%
. 87
 
4.0%
0 79
 
3.7%
Other values (34) 993
46.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1242
57.8%
Other Punctuation 348
 
16.2%
Decimal Number 240
 
11.2%
Uppercase Letter 203
 
9.4%
Math Symbol 58
 
2.7%
Connector Punctuation 58
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 163
13.1%
o 159
12.8%
a 99
 
8.0%
r 96
 
7.7%
t 93
 
7.5%
w 90
 
7.2%
i 69
 
5.6%
c 66
 
5.3%
k 66
 
5.3%
d 65
 
5.2%
Other values (14) 276
22.2%
Decimal Number
ValueCountFrequency (%)
0 79
32.9%
2 65
27.1%
9 32
13.3%
3 32
13.3%
1 13
 
5.4%
4 7
 
2.9%
5 5
 
2.1%
8 3
 
1.2%
6 2
 
0.8%
7 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 174
50.0%
. 87
25.0%
? 29
 
8.3%
: 29
 
8.3%
& 29
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 116
57.1%
R 58
28.6%
O 29
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 58
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1445
67.2%
Common 704
32.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 163
 
11.3%
o 159
 
11.0%
C 116
 
8.0%
a 99
 
6.9%
r 96
 
6.6%
t 93
 
6.4%
w 90
 
6.2%
i 69
 
4.8%
c 66
 
4.6%
k 66
 
4.6%
Other values (17) 428
29.6%
Common
ValueCountFrequency (%)
/ 174
24.7%
. 87
12.4%
0 79
11.2%
2 65
 
9.2%
= 58
 
8.2%
_ 58
 
8.2%
9 32
 
4.5%
3 32
 
4.5%
? 29
 
4.1%
: 29
 
4.1%
Other values (7) 61
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 174
 
8.1%
e 163
 
7.6%
o 159
 
7.4%
C 116
 
5.4%
a 99
 
4.6%
r 96
 
4.5%
t 93
 
4.3%
w 90
 
4.2%
. 87
 
4.0%
0 79
 
3.7%
Other values (34) 993
46.2%

기업명
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:19.815237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length6.0689655
Min length2

Characters and Unicode

Total characters176
Distinct characters86
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row써멀마스터㈜
2nd row써멀마스터㈜
3rd row태건종합건설
4th row태건종합건설
5th row의료법인 삼광의료재단
ValueCountFrequency (%)
써멀마스터㈜ 2
 
6.7%
㈜지앤비에스엔지니어링 2
 
6.7%
태건종합건설 2
 
6.7%
㈜텍슨 2
 
6.7%
㈜에프엠에스코리아 2
 
6.7%
와이이케이글래스㈜ 1
 
3.3%
㈜사이버테크프랜드 1
 
3.3%
오토젠 1
 
3.3%
쿠팡풀필먼트서비스 1
 
3.3%
㈜브릭 1
 
3.3%
Other values (15) 15
50.0%
2023-12-10T22:53:20.403646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 22
 
12.5%
스 12
 
6.8%
이 8
 
4.5%
에 8
 
4.5%
리 5
 
2.8%
코 5
 
2.8%
지 4
 
2.3%
건 4
 
2.3%
엔 3
 
1.7%
비 3
 
1.7%
Other values (76) 102
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
86.9%
Other Symbol 22
 
12.5%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
7.8%
이 8
 
5.2%
에 8
 
5.2%
리 5
 
3.3%
코 5
 
3.3%
지 4
 
2.6%
건 4
 
2.6%
엔 3
 
2.0%
비 3
 
2.0%
아 3
 
2.0%
Other values (74) 98
64.1%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 22
 
12.6%
스 12
 
6.9%
이 8
 
4.6%
에 8
 
4.6%
리 5
 
2.9%
코 5
 
2.9%
지 4
 
2.3%
건 4
 
2.3%
엔 3
 
1.7%
비 3
 
1.7%
Other values (75) 101
57.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
86.9%
None 22
 
12.5%
ASCII 1
 
0.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 22
100.0%
Hangul
ValueCountFrequency (%)
스 12
 
7.8%
이 8
 
5.2%
에 8
 
5.2%
리 5
 
3.3%
코 5
 
3.3%
지 4
 
2.6%
건 4
 
2.6%
엔 3
 
2.0%
비 3
 
2.0%
아 3
 
2.0%
Other values (74) 98
64.1%
ASCII
ValueCountFrequency (%)
1
100.0%

채용공고제목
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:20.811532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length29
Mean length24.137931
Min length9

Characters and Unicode

Total characters700
Distinct characters186
Distinct categories9 ?
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 row정규직 생산기술부 사원 모집
2nd row생산기술부 정규직 사원모집 (AS팀)
3rd row[강남대로 신축현장] 건축직 및 안전직 (신입/경력)모집
4th row법인부동산 임대 및 마케팅담당 신입/경력
5th row[삼광랩트리]임상검사영업부 인턴사원 모집(채용연계형)
ValueCountFrequency (%)
모집 10
 
6.8%
및 8
 
5.4%
채용 7
 
4.7%
경력직 3
 
2.0%
사원 3
 
2.0%
3
 
2.0%
담당자 3
 
2.0%
신입/경력 2
 
1.4%
모집(지게차 2
 
1.4%
개발 2
 
1.4%
Other values (100) 105
70.9%
2023-12-10T22:53:21.635771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
17.1%
모 18
 
2.6%
집 17
 
2.4%
( 17
 
2.4%
) 17
 
2.4%
원 15
 
2.1%
자 13
 
1.9%
사 12
 
1.7%
직 11
 
1.6%
용 11
 
1.6%
Other values (176) 449
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
67.7%
Space Separator 120
 
17.1%
Lowercase Letter 31
 
4.4%
Open Punctuation 22
 
3.1%
Close Punctuation 22
 
3.1%
Other Punctuation 19
 
2.7%
Uppercase Letter 7
 
1.0%
Dash Punctuation 3
 
0.4%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 18
 
3.8%
집 17
 
3.6%
원 15
 
3.2%
자 13
 
2.7%
사 12
 
2.5%
직 11
 
2.3%
용 11
 
2.3%
채 10
 
2.1%
력 10
 
2.1%
경 9
 
1.9%
Other values (143) 348
73.4%
Lowercase Letter
ValueCountFrequency (%)
r 5
16.1%
o 4
12.9%
d 3
9.7%
e 3
9.7%
m 3
9.7%
i 2
 
6.5%
p 2
 
6.5%
g 2
 
6.5%
c 2
 
6.5%
s 2
 
6.5%
Other values (3) 3
9.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
14.3%
Q 1
14.3%
D 1
14.3%
M 1
14.3%
E 1
14.3%
A 1
14.3%
S 1
14.3%
Other Punctuation
ValueCountFrequency (%)
; 9
47.4%
/ 6
31.6%
. 2
 
10.5%
: 1
 
5.3%
& 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 17
77.3%
[ 5
 
22.7%
Close Punctuation
ValueCountFrequency (%)
) 17
77.3%
] 5
 
22.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
67.7%
Common 188
 
26.9%
Latin 38
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 18
 
3.8%
집 17
 
3.6%
원 15
 
3.2%
자 13
 
2.7%
사 12
 
2.5%
직 11
 
2.3%
용 11
 
2.3%
채 10
 
2.1%
력 10
 
2.1%
경 9
 
1.9%
Other values (143) 348
73.4%
Latin
ValueCountFrequency (%)
r 5
13.2%
o 4
 
10.5%
d 3
 
7.9%
e 3
 
7.9%
m 3
 
7.9%
i 2
 
5.3%
p 2
 
5.3%
g 2
 
5.3%
c 2
 
5.3%
s 2
 
5.3%
Other values (10) 10
26.3%
Common
ValueCountFrequency (%)
120
63.8%
( 17
 
9.0%
) 17
 
9.0%
; 9
 
4.8%
/ 6
 
3.2%
[ 5
 
2.7%
] 5
 
2.7%
- 3
 
1.6%
. 2
 
1.1%
: 1
 
0.5%
Other values (3) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
67.7%
ASCII 226
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
53.1%
( 17
 
7.5%
) 17
 
7.5%
; 9
 
4.0%
/ 6
 
2.7%
r 5
 
2.2%
[ 5
 
2.2%
] 5
 
2.2%
o 4
 
1.8%
d 3
 
1.3%
Other values (23) 35
 
15.5%
Hangul
ValueCountFrequency (%)
모 18
 
3.8%
집 17
 
3.6%
원 15
 
3.2%
자 13
 
2.7%
사 12
 
2.5%
직 11
 
2.3%
용 11
 
2.3%
채 10
 
2.1%
력 10
 
2.1%
경 9
 
1.9%
Other values (143) 348
73.4%

업종직종정보명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

경력조건정보명
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
신입/경력
12 
경력
9 
관계없음
5 
신입
3 

Length

Max length5
Median length4
Mean length3.5862069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신입
2nd row신입/경력
3rd row신입/경력
4th row신입/경력
5th row신입

Common Values

ValueCountFrequency (%)
신입/경력 12
41.4%
경력 9
31.0%
관계없음 5
17.2%
신입 3
 
10.3%

Length

2023-12-10T22:53:21.957302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:22.125508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신입/경력 12
41.4%
경력 9
31.0%
관계없음 5
17.2%
신입 3
 
10.3%

경력년수정보명
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
1년 이상
12 
<NA>
8 
5년 이상
4 
3년 이상
3 
2년 이상
2 

Length

Max length5
Median length5
Mean length4.7241379
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1년 이상
3rd row3년 이상
4th row1년 이상
5th row<NA>

Common Values

ValueCountFrequency (%)
1년 이상 12
41.4%
<NA> 8
27.6%
5년 이상 4
 
13.8%
3년 이상 3
 
10.3%
2년 이상 2
 
6.9%

Length

2023-12-10T22:53:22.333374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:22.513139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이상 21
42.0%
1년 12
24.0%
na 8
 
16.0%
5년 4
 
8.0%
3년 3
 
6.0%
2년 2
 
4.0%

경력년수
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
12 
0
8 
5
4 
3
3 
2
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row3
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 12
41.4%
0 8
27.6%
5 4
 
13.8%
3 3
 
10.3%
2 2
 
6.9%

Length

2023-12-10T22:53:22.713219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:22.905860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 12
41.4%
0 8
27.6%
5 4
 
13.8%
3 3
 
10.3%
2 2
 
6.9%

급여유형정보명
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
회사 내규에 따름
14 
연봉
12 
월급
2 
시급
 
1

Length

Max length9
Median length2
Mean length5.3793103
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row연봉
2nd row연봉
3rd row회사 내규에 따름
4th row회사 내규에 따름
5th row연봉

Common Values

ValueCountFrequency (%)
회사 내규에 따름 14
48.3%
연봉 12
41.4%
월급 2
 
6.9%
시급 1
 
3.4%

Length

2023-12-10T22:53:23.143743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:23.331855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회사 14
24.6%
내규에 14
24.6%
따름 14
24.6%
연봉 12
21.1%
월급 2
 
3.5%
시급 1
 
1.8%

급여수준정보명
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing15
Missing (%)51.7%
Memory size364.0 B
2023-12-10T22:53:23.644433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length11.5
Min length5

Characters and Unicode

Total characters161
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)85.7%

Sample

1st row2400만원 ~ 2400만원
2nd row2400만원 ~ 2600만원
3rd row2380만원 ~ 2880만원
4th row2960만원 ~ 2960만원
5th row3500만원 ~ 5000만원
ValueCountFrequency (%)
9
28.1%
2400만원 5
15.6%
2600만원 3
 
9.4%
2960만원 2
 
6.2%
3500만원 2
 
6.2%
2380만원 1
 
3.1%
2880만원 1
 
3.1%
5000만원 1
 
3.1%
3600만원 1
 
3.1%
200만원 1
 
3.1%
Other values (6) 6
18.8%
2023-12-10T22:53:24.147132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
27.3%
원 23
14.3%
만 22
13.7%
18
11.2%
2 14
 
8.7%
~ 9
 
5.6%
4 7
 
4.3%
6 6
 
3.7%
3 6
 
3.7%
8 4
 
2.5%
Other values (3) 8
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89
55.3%
Other Letter 45
28.0%
Space Separator 18
 
11.2%
Math Symbol 9
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
49.4%
2 14
 
15.7%
4 7
 
7.9%
6 6
 
6.7%
3 6
 
6.7%
8 4
 
4.5%
9 3
 
3.4%
5 3
 
3.4%
7 2
 
2.2%
Other Letter
ValueCountFrequency (%)
원 23
51.1%
만 22
48.9%
Space Separator
ValueCountFrequency (%)
18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
72.0%
Hangul 45
 
28.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
37.9%
18
15.5%
2 14
 
12.1%
~ 9
 
7.8%
4 7
 
6.0%
6 6
 
5.2%
3 6
 
5.2%
8 4
 
3.4%
9 3
 
2.6%
5 3
 
2.6%
Hangul
ValueCountFrequency (%)
원 23
51.1%
만 22
48.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
72.0%
Hangul 45
 
28.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
37.9%
18
15.5%
2 14
 
12.1%
~ 9
 
7.8%
4 7
 
6.0%
6 6
 
5.2%
3 6
 
5.2%
8 4
 
3.4%
9 3
 
2.6%
5 3
 
2.6%
Hangul
ValueCountFrequency (%)
원 23
51.1%
만 22
48.9%

급여수준명
Categorical

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
0;0
15 
2400;2600
2 
2400;2400
 
1
2380;2880
 
1
2960;2960
 
1
Other values (9)
9 

Length

Max length9
Median length3
Mean length5.2758621
Min length3

Unique

Unique12 ?
Unique (%)41.4%

Sample

1st row2400;2400
2nd row2400;2600
3rd row0;0
4th row0;0
5th row2380;2880

Common Values

ValueCountFrequency (%)
0;0 15
51.7%
2400;2600 2
 
6.9%
2400;2400 1
 
3.4%
2380;2880 1
 
3.4%
2960;2960 1
 
3.4%
3500;5000 1
 
3.4%
3500;3600 1
 
3.4%
2400;0 1
 
3.4%
200;0 1
 
3.4%
9000;0 1
 
3.4%
Other values (4) 4
 
13.8%

Length

2023-12-10T22:53:24.528563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0;0 15
51.7%
2400;2600 2
 
6.9%
2400;2400 1
 
3.4%
2380;2880 1
 
3.4%
2960;2960 1
 
3.4%
3500;5000 1
 
3.4%
3500;3600 1
 
3.4%
2400;0 1
 
3.4%
200;0 1
 
3.4%
9000;0 1
 
3.4%
Other values (4) 4
 
13.8%

연봉면접결정여부
Boolean

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size161.0 B
True
19 
False
10 
ValueCountFrequency (%)
True 19
65.5%
False 10
34.5%
2023-12-10T22:53:24.774428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

학력제한정보명
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
학력무관
10 
대졸(2~3년)
8 
대졸(4년)
7 
고졸
4 

Length

Max length8
Median length6
Mean length5.3103448
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학력무관
2nd row학력무관
3rd row대졸(4년)
4th row대졸(2~3년)
5th row대졸(4년)

Common Values

ValueCountFrequency (%)
학력무관 10
34.5%
대졸(2~3년) 8
27.6%
대졸(4년) 7
24.1%
고졸 4
 
13.8%

Length

2023-12-10T22:53:24.982827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:25.224865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학력무관 10
34.5%
대졸(2~3년 8
27.6%
대졸(4년 7
24.1%
고졸 4
 
13.8%

상세내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

기업대표문구명
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:25.700784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length31
Mean length27.965517
Min length8

Characters and Unicode

Total characters811
Distinct characters228
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row세계적으로 생각하고; 지역적으로 행동하다
2nd row세계적으로 생각하고; 지역적으로 행동하다
3rd row고객 중심 기업
4th row고객 중심 기업
5th row신뢰받는 진단검사로 행복을 추구하는 신의료 서비스 명가
ValueCountFrequency (%)
기업 13
 
7.1%
분야의 3
 
1.6%
중심 3
 
1.6%
세계적으로 2
 
1.1%
업체 2
 
1.1%
국내 2
 
1.1%
최초로 2
 
1.1%
전문기업 2
 
1.1%
하는 2
 
1.1%
부품 2
 
1.1%
Other values (125) 150
82.0%
2023-12-10T22:53:26.672136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
19.2%
기 23
 
2.8%
업 22
 
2.7%
로 18
 
2.2%
하 16
 
2.0%
는 15
 
1.8%
의 13
 
1.6%
을 12
 
1.5%
; 12
 
1.5%
제 11
 
1.4%
Other values (218) 513
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 555
68.4%
Space Separator 156
 
19.2%
Lowercase Letter 39
 
4.8%
Other Punctuation 24
 
3.0%
Uppercase Letter 22
 
2.7%
Decimal Number 11
 
1.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
4.1%
업 22
 
4.0%
로 18
 
3.2%
하 16
 
2.9%
는 15
 
2.7%
의 13
 
2.3%
을 12
 
2.2%
제 11
 
2.0%
전 10
 
1.8%
으 8
 
1.4%
Other values (179) 407
73.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.4%
i 4
10.3%
n 4
10.3%
l 4
10.3%
a 4
10.3%
d 3
7.7%
o 3
7.7%
r 2
 
5.1%
b 2
 
5.1%
g 2
 
5.1%
Other values (5) 5
12.8%
Uppercase Letter
ValueCountFrequency (%)
S 8
36.4%
E 4
18.2%
G 2
 
9.1%
M 2
 
9.1%
L 2
 
9.1%
B 1
 
4.5%
D 1
 
4.5%
T 1
 
4.5%
A 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
; 12
50.0%
. 4
 
16.7%
& 3
 
12.5%
! 2
 
8.3%
· 2
 
8.3%
/ 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
9 3
27.3%
1 3
27.3%
8 2
18.2%
0 1
 
9.1%
2 1
 
9.1%
6 1
 
9.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 555
68.4%
Common 195
 
24.0%
Latin 61
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
4.1%
업 22
 
4.0%
로 18
 
3.2%
하 16
 
2.9%
는 15
 
2.7%
의 13
 
2.3%
을 12
 
2.2%
제 11
 
2.0%
전 10
 
1.8%
으 8
 
1.4%
Other values (179) 407
73.3%
Latin
ValueCountFrequency (%)
S 8
13.1%
e 6
 
9.8%
E 4
 
6.6%
i 4
 
6.6%
n 4
 
6.6%
l 4
 
6.6%
a 4
 
6.6%
d 3
 
4.9%
o 3
 
4.9%
G 2
 
3.3%
Other values (14) 19
31.1%
Common
ValueCountFrequency (%)
156
80.0%
; 12
 
6.2%
. 4
 
2.1%
9 3
 
1.5%
1 3
 
1.5%
& 3
 
1.5%
! 2
 
1.0%
· 2
 
1.0%
8 2
 
1.0%
( 2
 
1.0%
Other values (5) 6
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 555
68.4%
ASCII 254
31.3%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
61.4%
; 12
 
4.7%
S 8
 
3.1%
e 6
 
2.4%
E 4
 
1.6%
. 4
 
1.6%
i 4
 
1.6%
n 4
 
1.6%
l 4
 
1.6%
a 4
 
1.6%
Other values (28) 48
 
18.9%
Hangul
ValueCountFrequency (%)
기 23
 
4.1%
업 22
 
4.0%
로 18
 
3.2%
하 16
 
2.9%
는 15
 
2.7%
의 13
 
2.3%
을 12
 
2.2%
제 11
 
2.0%
전 10
 
1.8%
으 8
 
1.4%
Other values (179) 407
73.3%
None
ValueCountFrequency (%)
· 2
100.0%

법인등록번호
Categorical

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
11011-********
9 
13481-********
4 
13411-********
3 
13111-********
2 
13451-********
2 
Other values (8)
9 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique7 ?
Unique (%)24.1%

Sample

1st row13411-********
2nd row13411-********
3rd row13481-********
4th row13481-********
5th row11413-********

Common Values

ValueCountFrequency (%)
11011-******** 9
31.0%
13481-******** 4
13.8%
13411-******** 3
 
10.3%
13111-******** 2
 
6.9%
13451-******** 2
 
6.9%
11151-******** 2
 
6.9%
11413-******** 1
 
3.4%
13141-******** 1
 
3.4%
11521-******** 1
 
3.4%
13461-******** 1
 
3.4%
Other values (3) 3
 
10.3%

Length

2023-12-10T22:53:26.895137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11011 9
31.0%
13481 4
13.8%
13411 3
 
10.3%
13111 2
 
6.9%
13451 2
 
6.9%
11151 2
 
6.9%
11413 1
 
3.4%
13141 1
 
3.4%
11521 1
 
3.4%
13461 1
 
3.4%
Other values (3) 3
 
10.3%

기업주체명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
일반법인
28 
비영리법인
 
1

Length

Max length5
Median length4
Mean length4.0344828
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row일반법인
2nd row일반법인
3rd row일반법인
4th row일반법인
5th row비영리법인

Common Values

ValueCountFrequency (%)
일반법인 28
96.6%
비영리법인 1
 
3.4%

Length

2023-12-10T22:53:27.080733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:27.228509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반법인 28
96.6%
비영리법인 1
 
3.4%

기업규모명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
중소기업
22 
중견기업
6 
대상아님
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row중소기업
2nd row중소기업
3rd row중소기업
4th row중소기업
5th row대상아님

Common Values

ValueCountFrequency (%)
중소기업 22
75.9%
중견기업 6
 
20.7%
대상아님 1
 
3.4%

Length

2023-12-10T22:53:27.433606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:27.589434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 22
75.9%
중견기업 6
 
20.7%
대상아님 1
 
3.4%

상장일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing26
Missing (%)89.7%
Memory size364.0 B
Minimum2004-02-03 00:00:00
Maximum2017-03-23 00:00:00
2023-12-10T22:53:27.735272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:53:27.874240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

종업원수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean882.51724
Minimum0
Maximum19662
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:53:28.043067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q133
median62
Q3198
95-th percentile1706
Maximum19662
Range19662
Interquartile range (IQR)165

Descriptive statistics

Standard deviation3638.1687
Coefficient of variation (CV)4.1224902
Kurtosis28.074661
Mean882.51724
Median Absolute Deviation (MAD)37
Skewness5.267247
Sum25593
Variance13236271
MonotonicityNot monotonic
2023-12-10T22:53:28.234064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
62 2
 
6.9%
42 2
 
6.9%
198 2
 
6.9%
52 2
 
6.9%
84 2
 
6.9%
33 2
 
6.9%
0 1
 
3.4%
31 1
 
3.4%
99 1
 
3.4%
19662 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0 1
3.4%
5 1
3.4%
15 1
3.4%
23 1
3.4%
29 1
3.4%
31 1
3.4%
33 2
6.9%
34 1
3.4%
42 2
6.9%
52 2
6.9%
ValueCountFrequency (%)
19662 1
3.4%
2238 1
3.4%
908 1
3.4%
601 1
3.4%
412 1
3.4%
295 1
3.4%
198 2
6.9%
126 1
3.4%
107 1
3.4%
99 1
3.4%

한글업체명
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:28.591193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.1034483
Min length5

Characters and Unicode

Total characters235
Distinct characters83
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

Unique19 ?
Unique (%)65.5%

Sample

1st row써멀마스터(주)
2nd row써멀마스터(주)
3rd row(주)태건종합건설
4th row(주)태건종합건설
5th row(의)삼광의료재단
ValueCountFrequency (%)
써멀마스터(주 2
 
6.9%
주)지앤비에스엔지니어링 2
 
6.9%
주)태건종합건설 2
 
6.9%
주)텍슨 2
 
6.9%
주)에프엠에스코리아 2
 
6.9%
와이이케이글래스(주 1
 
3.4%
주)사이버테크프랜드 1
 
3.4%
주)오토젠 1
 
3.4%
쿠팡풀필먼트서비스(유 1
 
3.4%
주)브릭 1
 
3.4%
Other values (14) 14
48.3%
2023-12-10T22:53:29.253789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 29
 
12.3%
) 29
 
12.3%
주 27
 
11.5%
스 12
 
5.1%
에 8
 
3.4%
이 8
 
3.4%
리 5
 
2.1%
코 5
 
2.1%
비 4
 
1.7%
지 4
 
1.7%
Other values (73) 104
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
75.3%
Open Punctuation 29
 
12.3%
Close Punctuation 29
 
12.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
15.3%
스 12
 
6.8%
에 8
 
4.5%
이 8
 
4.5%
리 5
 
2.8%
코 5
 
2.8%
비 4
 
2.3%
지 4
 
2.3%
건 4
 
2.3%
아 3
 
1.7%
Other values (71) 97
54.8%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
75.3%
Common 58
 
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
15.3%
스 12
 
6.8%
에 8
 
4.5%
이 8
 
4.5%
리 5
 
2.8%
코 5
 
2.8%
비 4
 
2.3%
지 4
 
2.3%
건 4
 
2.3%
아 3
 
1.7%
Other values (71) 97
54.8%
Common
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
75.3%
ASCII 58
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%
Hangul
ValueCountFrequency (%)
주 27
 
15.3%
스 12
 
6.8%
에 8
 
4.5%
이 8
 
4.5%
리 5
 
2.8%
코 5
 
2.8%
비 4
 
2.3%
지 4
 
2.3%
건 4
 
2.3%
아 3
 
1.7%
Other values (71) 97
54.8%

영문업체명
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:29.551479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length19.965517
Min length8

Characters and Unicode

Total characters579
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st rowThermal Master Co.;Ltd.
2nd rowThermal Master Co.;Ltd.
3rd rowTAEGUN CONSTRUCTION CO.;LTD.
4th rowTAEGUN CONSTRUCTION CO.;LTD.
5th rowSamkwang Medical Laboratories
ValueCountFrequency (%)
co.;ltd 19
24.1%
corporation 3
 
3.8%
korea 3
 
3.8%
inc 3
 
3.8%
ltd 3
 
3.8%
thermal 2
 
2.5%
construction 2
 
2.5%
master 2
 
2.5%
texon 2
 
2.5%
taegun 2
 
2.5%
Other values (35) 38
48.1%
2023-12-10T22:53:30.079611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
8.8%
. 42
 
7.3%
O 34
 
5.9%
C 33
 
5.7%
T 31
 
5.4%
L 29
 
5.0%
N 29
 
5.0%
E 24
 
4.1%
; 20
 
3.5%
S 19
 
3.3%
Other values (40) 267
46.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 318
54.9%
Lowercase Letter 148
25.6%
Other Punctuation 62
 
10.7%
Space Separator 51
 
8.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 34
10.7%
C 33
10.4%
T 31
9.7%
L 29
9.1%
N 29
9.1%
E 24
 
7.5%
S 19
 
6.0%
I 19
 
6.0%
D 18
 
5.7%
A 15
 
4.7%
Other values (14) 67
21.1%
Lowercase Letter
ValueCountFrequency (%)
o 18
12.2%
e 15
10.1%
t 14
9.5%
a 14
9.5%
r 14
9.5%
i 10
 
6.8%
d 9
 
6.1%
n 9
 
6.1%
l 6
 
4.1%
c 5
 
3.4%
Other values (13) 34
23.0%
Other Punctuation
ValueCountFrequency (%)
. 42
67.7%
; 20
32.3%
Space Separator
ValueCountFrequency (%)
51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 466
80.5%
Common 113
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 34
 
7.3%
C 33
 
7.1%
T 31
 
6.7%
L 29
 
6.2%
N 29
 
6.2%
E 24
 
5.2%
S 19
 
4.1%
I 19
 
4.1%
D 18
 
3.9%
o 18
 
3.9%
Other values (37) 212
45.5%
Common
ValueCountFrequency (%)
51
45.1%
. 42
37.2%
; 20
 
17.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
 
8.8%
. 42
 
7.3%
O 34
 
5.9%
C 33
 
5.7%
T 31
 
5.4%
L 29
 
5.0%
N 29
 
5.0%
E 24
 
4.1%
; 20
 
3.5%
S 19
 
3.3%
Other values (40) 267
46.1%

약식업체명
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:30.387894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.1034483
Min length2

Characters and Unicode

Total characters148
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row써멀마스터
2nd row써멀마스터
3rd row태건종합건설
4th row태건종합건설
5th row삼광의료재단
ValueCountFrequency (%)
써멀마스터 2
 
6.9%
지앤비에스엔지니어링 2
 
6.9%
태건종합건설 2
 
6.9%
텍슨 2
 
6.9%
에프엠에스코리아 2
 
6.9%
와이이케이글래스 1
 
3.4%
사이버테크프랜드 1
 
3.4%
오토젠 1
 
3.4%
쿠팡풀필먼트서비스 1
 
3.4%
브릭 1
 
3.4%
Other values (14) 14
48.3%
2023-12-10T22:53:30.854553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 12
 
8.1%
에 8
 
5.4%
이 8
 
5.4%
코 5
 
3.4%
리 5
 
3.4%
건 4
 
2.7%
지 4
 
2.7%
비 4
 
2.7%
아 3
 
2.0%
터 3
 
2.0%
Other values (69) 92
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
8.1%
에 8
 
5.4%
이 8
 
5.4%
코 5
 
3.4%
리 5
 
3.4%
건 4
 
2.7%
지 4
 
2.7%
비 4
 
2.7%
아 3
 
2.0%
터 3
 
2.0%
Other values (69) 92
62.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
8.1%
에 8
 
5.4%
이 8
 
5.4%
코 5
 
3.4%
리 5
 
3.4%
건 4
 
2.7%
지 4
 
2.7%
비 4
 
2.7%
아 3
 
2.0%
터 3
 
2.0%
Other values (69) 92
62.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 12
 
8.1%
에 8
 
5.4%
이 8
 
5.4%
코 5
 
3.4%
리 5
 
3.4%
건 4
 
2.7%
지 4
 
2.7%
비 4
 
2.7%
아 3
 
2.0%
터 3
 
2.0%
Other values (69) 92
62.2%

한글대표자명
Text

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:31.020417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.862069
Min length3

Characters and Unicode

Total characters112
Distinct characters18
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

Unique11 ?
Unique (%)37.9%

Sample

1st row나**
2nd row나**
3rd row임**
4th row임**
5th row황**
ValueCountFrequency (%)
김 5
17.2%
박 4
13.8%
최 3
10.3%
나 2
 
6.9%
임 2
 
6.9%
류 2
 
6.9%
전 1
 
3.4%
진 1
 
3.4%
음 1
 
3.4%
오 1
 
3.4%
Other values (7) 7
24.1%
2023-12-10T22:53:31.370635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 83
74.1%
김 5
 
4.5%
박 4
 
3.6%
최 3
 
2.7%
나 2
 
1.8%
임 2
 
1.8%
류 2
 
1.8%
전 1
 
0.9%
진 1
 
0.9%
음 1
 
0.9%
Other values (8) 8
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 83
74.1%
Other Letter 29
 
25.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
17.2%
박 4
13.8%
최 3
10.3%
나 2
 
6.9%
임 2
 
6.9%
류 2
 
6.9%
전 1
 
3.4%
진 1
 
3.4%
음 1
 
3.4%
오 1
 
3.4%
Other values (7) 7
24.1%
Other Punctuation
ValueCountFrequency (%)
* 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83
74.1%
Hangul 29
 
25.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
17.2%
박 4
13.8%
최 3
10.3%
나 2
 
6.9%
임 2
 
6.9%
류 2
 
6.9%
전 1
 
3.4%
진 1
 
3.4%
음 1
 
3.4%
오 1
 
3.4%
Other values (7) 7
24.1%
Common
ValueCountFrequency (%)
* 83
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83
74.1%
Hangul 29
 
25.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 83
100.0%
Hangul
ValueCountFrequency (%)
김 5
17.2%
박 4
13.8%
최 3
10.3%
나 2
 
6.9%
임 2
 
6.9%
류 2
 
6.9%
전 1
 
3.4%
진 1
 
3.4%
음 1
 
3.4%
오 1
 
3.4%
Other values (7) 7
24.1%

영문대표자명
Text

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:31.577206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.3103448
Min length2

Characters and Unicode

Total characters125
Distinct characters29
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)37.9%

Sample

1st rowNa*
2nd rowNa*
3rd rowIm*
4th rowIm*
5th rowHwang*
ValueCountFrequency (%)
kim 5
17.2%
park 4
13.8%
choe 3
10.3%
na 2
 
6.9%
im 2
 
6.9%
ryu 2
 
6.9%
jeon 1
 
3.4%
jin 1
 
3.4%
eum 1
 
3.4%
o 1
 
3.4%
Other values (7) 7
24.1%
2023-12-10T22:53:32.035691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 29
23.2%
m 8
 
6.4%
a 8
 
6.4%
e 8
 
6.4%
o 7
 
5.6%
n 6
 
4.8%
i 6
 
4.8%
K 5
 
4.0%
J 5
 
4.0%
u 4
 
3.2%
Other values (19) 39
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 67
53.6%
Other Punctuation 29
23.2%
Uppercase Letter 29
23.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 8
11.9%
a 8
11.9%
e 8
11.9%
o 7
10.4%
n 6
9.0%
i 6
9.0%
u 4
6.0%
r 4
6.0%
k 4
6.0%
h 4
6.0%
Other values (5) 8
11.9%
Uppercase Letter
ValueCountFrequency (%)
K 5
17.2%
J 5
17.2%
P 4
13.8%
C 3
10.3%
R 2
 
6.9%
I 2
 
6.9%
N 2
 
6.9%
L 1
 
3.4%
M 1
 
3.4%
H 1
 
3.4%
Other values (3) 3
10.3%
Other Punctuation
ValueCountFrequency (%)
* 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 96
76.8%
Common 29
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 8
 
8.3%
a 8
 
8.3%
e 8
 
8.3%
o 7
 
7.3%
n 6
 
6.2%
i 6
 
6.2%
K 5
 
5.2%
J 5
 
5.2%
u 4
 
4.2%
P 4
 
4.2%
Other values (18) 35
36.5%
Common
ValueCountFrequency (%)
* 29
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 29
23.2%
m 8
 
6.4%
a 8
 
6.4%
e 8
 
6.4%
o 7
 
5.6%
n 6
 
4.8%
i 6
 
4.8%
K 5
 
4.0%
J 5
 
4.0%
u 4
 
3.2%
Other values (19) 39
31.2%

홈페이지URL
Text

MISSING 

Distinct18
Distinct (%)81.8%
Missing7
Missing (%)24.1%
Memory size364.0 B
2023-12-10T22:53:32.365102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length16.545455
Min length12

Characters and Unicode

Total characters364
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)63.6%

Sample

1st rowwww.thermalmaster.co.kr
2nd rowwww.thermalmaster.co.kr
3rd rowwww.smlab.co.kr
4th rowwww.gahbin.com
5th rowwww.theonesys.com
ValueCountFrequency (%)
www.f2m3s.co.kr 2
 
9.1%
www.texon.co.kr 2
 
9.1%
www.thermalmaster.co.kr 2
 
9.1%
www.gnbseng.com 2
 
9.1%
www.komico.com 1
 
4.5%
www.ipacom.co.kr 1
 
4.5%
vitson.co.kr 1
 
4.5%
www.shelevator.co.kr 1
 
4.5%
www.ensbeautygroup.com 1
 
4.5%
www.gahbin.com 1
 
4.5%
Other values (8) 8
36.4%
2023-12-10T22:53:32.998480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 66
18.1%
. 54
14.8%
o 34
9.3%
c 24
 
6.6%
r 20
 
5.5%
e 20
 
5.5%
m 19
 
5.2%
k 15
 
4.1%
n 15
 
4.1%
s 14
 
3.8%
Other values (18) 83
22.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 305
83.8%
Other Punctuation 55
 
15.1%
Decimal Number 4
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 66
21.6%
o 34
11.1%
c 24
 
7.9%
r 20
 
6.6%
e 20
 
6.6%
m 19
 
6.2%
k 15
 
4.9%
n 15
 
4.9%
s 14
 
4.6%
a 14
 
4.6%
Other values (14) 64
21.0%
Other Punctuation
ValueCountFrequency (%)
. 54
98.2%
/ 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
2 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 305
83.8%
Common 59
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 66
21.6%
o 34
11.1%
c 24
 
7.9%
r 20
 
6.6%
e 20
 
6.6%
m 19
 
6.2%
k 15
 
4.9%
n 15
 
4.9%
s 14
 
4.6%
a 14
 
4.6%
Other values (14) 64
21.0%
Common
ValueCountFrequency (%)
. 54
91.5%
3 2
 
3.4%
2 2
 
3.4%
/ 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 66
18.1%
. 54
14.8%
o 34
9.3%
c 24
 
6.6%
r 20
 
5.5%
e 20
 
5.5%
m 19
 
5.2%
k 15
 
4.1%
n 15
 
4.1%
s 14
 
3.8%
Other values (18) 83
22.8%

본사한글주소
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:33.587621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length22.827586
Min length12

Characters and Unicode

Total characters662
Distinct characters98
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row경기 화성시 비봉면 화성로1616번길 88-8; ;668-19
2nd row경기 화성시 비봉면 화성로1616번길 88-8; ;668-19
3rd row경기 오산시 대호로62번길 28; 2층
4th row경기 오산시 대호로62번길 28; 2층
5th row서울 서초구 바우뫼로41길 57
ValueCountFrequency (%)
경기 25
 
16.7%
화성시 4
 
2.7%
서울 4
 
2.7%
분당구 3
 
2.0%
안성시 3
 
2.0%
성남시 3
 
2.0%
모산로 3
 
2.0%
2층 2
 
1.3%
남양주시 2
 
1.3%
시흥시 2
 
1.3%
Other values (83) 99
66.0%
2023-12-10T22:53:34.347295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
18.3%
1 33
 
5.0%
시 29
 
4.4%
로 27
 
4.1%
경 25
 
3.8%
기 25
 
3.8%
2 23
 
3.5%
; 20
 
3.0%
8 20
 
3.0%
0 17
 
2.6%
Other values (88) 322
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
51.4%
Decimal Number 168
25.4%
Space Separator 121
 
18.3%
Other Punctuation 20
 
3.0%
Dash Punctuation 11
 
1.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
 
8.5%
로 27
 
7.9%
경 25
 
7.4%
기 25
 
7.4%
길 16
 
4.7%
성 14
 
4.1%
산 11
 
3.2%
번 11
 
3.2%
호 10
 
2.9%
구 10
 
2.9%
Other values (73) 162
47.6%
Decimal Number
ValueCountFrequency (%)
1 33
19.6%
2 23
13.7%
8 20
11.9%
0 17
10.1%
3 16
9.5%
6 14
8.3%
4 13
 
7.7%
5 12
 
7.1%
9 11
 
6.5%
7 9
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Other Punctuation
ValueCountFrequency (%)
; 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
51.4%
Common 320
48.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
 
8.5%
로 27
 
7.9%
경 25
 
7.4%
기 25
 
7.4%
길 16
 
4.7%
성 14
 
4.1%
산 11
 
3.2%
번 11
 
3.2%
호 10
 
2.9%
구 10
 
2.9%
Other values (73) 162
47.6%
Common
ValueCountFrequency (%)
121
37.8%
1 33
 
10.3%
2 23
 
7.2%
; 20
 
6.2%
8 20
 
6.2%
0 17
 
5.3%
3 16
 
5.0%
6 14
 
4.4%
4 13
 
4.1%
5 12
 
3.8%
Other values (3) 31
 
9.7%
Latin
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
51.4%
ASCII 322
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
37.6%
1 33
 
10.2%
2 23
 
7.1%
; 20
 
6.2%
8 20
 
6.2%
0 17
 
5.3%
3 16
 
5.0%
6 14
 
4.3%
4 13
 
4.0%
5 12
 
3.7%
Other values (5) 33
 
10.2%
Hangul
ValueCountFrequency (%)
시 29
 
8.5%
로 27
 
7.9%
경 25
 
7.4%
기 25
 
7.4%
길 16
 
4.7%
성 14
 
4.1%
산 11
 
3.2%
번 11
 
3.2%
호 10
 
2.9%
구 10
 
2.9%
Other values (73) 162
47.6%

본사영문주소
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:34.789929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length58
Mean length50.103448
Min length31

Characters and Unicode

Total characters1453
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row88-8; Hwaseong-ro 1616beon-gil Bibong-myeon Hwaseong-si Gyeonggi
2nd row88-8; Hwaseong-ro 1616beon-gil Bibong-myeon Hwaseong-si Gyeonggi
3rd row2nd Floor; 28; Daeho-ro 62beon-gil Osan-si Gyeonggi
4th row2nd Floor; 28; Daeho-ro 62beon-gil Osan-si Gyeonggi
5th row57; Baumoe-ro 41-gil Seocho-gu Seoul
ValueCountFrequency (%)
gyeonggi 25
 
15.7%
seoul 4
 
2.5%
floor 4
 
2.5%
hwaseong-si 4
 
2.5%
bundang-gu 3
 
1.9%
anseong-si 3
 
1.9%
mosan-ro 3
 
1.9%
seongnam-si 3
 
1.9%
osan-si 2
 
1.3%
hanam-si 2
 
1.3%
Other values (87) 106
66.7%
2023-12-10T22:53:35.524666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 142
 
9.8%
n 130
 
8.9%
130
 
8.9%
g 125
 
8.6%
- 102
 
7.0%
e 91
 
6.3%
i 78
 
5.4%
a 77
 
5.3%
s 44
 
3.0%
; 39
 
2.7%
Other values (41) 495
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 936
64.4%
Decimal Number 140
 
9.6%
Space Separator 130
 
8.9%
Uppercase Letter 106
 
7.3%
Dash Punctuation 102
 
7.0%
Other Punctuation 39
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 142
15.2%
n 130
13.9%
g 125
13.4%
e 91
9.7%
i 78
8.3%
a 77
8.2%
s 44
 
4.7%
y 37
 
4.0%
r 34
 
3.6%
u 33
 
3.5%
Other values (11) 145
15.5%
Uppercase Letter
ValueCountFrequency (%)
G 28
26.4%
S 21
19.8%
H 10
 
9.4%
B 9
 
8.5%
D 8
 
7.5%
M 5
 
4.7%
J 4
 
3.8%
F 4
 
3.8%
A 4
 
3.8%
P 3
 
2.8%
Other values (7) 10
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 28
20.0%
2 20
14.3%
8 17
12.1%
0 14
10.0%
3 13
9.3%
4 12
8.6%
5 10
 
7.1%
7 9
 
6.4%
6 9
 
6.4%
9 8
 
5.7%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Other Punctuation
ValueCountFrequency (%)
; 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1042
71.7%
Common 411
 
28.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 142
13.6%
n 130
12.5%
g 125
12.0%
e 91
 
8.7%
i 78
 
7.5%
a 77
 
7.4%
s 44
 
4.2%
y 37
 
3.6%
r 34
 
3.3%
u 33
 
3.2%
Other values (28) 251
24.1%
Common
ValueCountFrequency (%)
130
31.6%
- 102
24.8%
; 39
 
9.5%
1 28
 
6.8%
2 20
 
4.9%
8 17
 
4.1%
0 14
 
3.4%
3 13
 
3.2%
4 12
 
2.9%
5 10
 
2.4%
Other values (3) 26
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 142
 
9.8%
n 130
 
8.9%
130
 
8.9%
g 125
 
8.6%
- 102
 
7.0%
e 91
 
6.3%
i 78
 
5.4%
a 77
 
5.3%
s 44
 
3.0%
; 39
 
2.7%
Other values (41) 495
34.1%

본사우편번호
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13649.241
Minimum2793
Maximum18487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:53:36.069278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2793
5-th percentile6002.8
Q111781
median13558
Q317541
95-th percentile18405.8
Maximum18487
Range15694
Interquartile range (IQR)5760

Descriptive statistics

Standard deviation4141.1077
Coefficient of variation (CV)0.30339471
Kurtosis0.41838452
Mean13649.241
Median Absolute Deviation (MAD)3157
Skewness-0.84424685
Sum395828
Variance17148773
MonotonicityNot monotonic
2023-12-10T22:53:36.342245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18284 2
 
6.9%
11781 2
 
6.9%
18487 2
 
6.9%
17541 2
 
6.9%
18122 2
 
6.9%
2793 1
 
3.4%
14057 1
 
3.4%
15118 1
 
3.4%
5510 1
 
3.4%
13493 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
2793 1
3.4%
5510 1
3.4%
6742 1
3.4%
8708 1
3.4%
10047 1
3.4%
10401 1
3.4%
11781 2
6.9%
12017 1
3.4%
12196 1
3.4%
12925 1
3.4%
ValueCountFrequency (%)
18487 2
6.9%
18284 2
6.9%
18122 2
6.9%
17567 1
3.4%
17541 2
6.9%
16314 1
3.4%
15118 1
3.4%
15086 1
3.4%
14449 1
3.4%
14057 1
3.4%

데이터기준일자
Categorical

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
2020-01-15
5 
2020-01-14
5 
2020-01-16
4 
2020-01-17
4 
2020-01-18
3 
Other values (6)
8 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row2019-12-24
2nd row2019-12-24
3rd row2019-12-28
4th row2019-12-28
5th row2020-01-30

Common Values

ValueCountFrequency (%)
2020-01-15 5
17.2%
2020-01-14 5
17.2%
2020-01-16 4
13.8%
2020-01-17 4
13.8%
2020-01-18 3
10.3%
2019-12-24 2
 
6.9%
2019-12-28 2
 
6.9%
2020-01-30 1
 
3.4%
2020-01-29 1
 
3.4%
2020-01-09 1
 
3.4%

Length

2023-12-10T22:53:36.569875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-01-15 5
17.2%
2020-01-14 5
17.2%
2020-01-16 4
13.8%
2020-01-17 4
13.8%
2020-01-18 3
10.3%
2019-12-24 2
 
6.9%
2019-12-28 2
 
6.9%
2020-01-30 1
 
3.4%
2020-01-29 1
 
3.4%
2020-01-09 1
 
3.4%

Sample

채용공고고유번호사업자등록번호기업정보URL기업명채용공고제목업종직종정보명경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명상세내용기업대표문구명법인등록번호기업주체명기업규모명상장일자종업원수한글업체명영문업체명약식업체명한글대표자명영문대표자명홈페이지URL본사한글주소본사영문주소본사우편번호데이터기준일자
034417406123-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232써멀마스터㈜정규직 생산기술부 사원 모집<NA>신입<NA>0연봉2400만원 ~ 2400만원2400;2400Y학력무관<NA>세계적으로 생각하고; 지역적으로 행동하다13411-********일반법인중소기업<NA>62써멀마스터(주)Thermal Master Co.;Ltd.써멀마스터나**Na*www.thermalmaster.co.kr경기 화성시 비봉면 화성로1616번길 88-8; ;668-1988-8; Hwaseong-ro 1616beon-gil Bibong-myeon Hwaseong-si Gyeonggi182842019-12-24
134417427123-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232써멀마스터㈜생산기술부 정규직 사원모집 (AS팀)<NA>신입/경력1년 이상1연봉2400만원 ~ 2600만원2400;2600Y학력무관<NA>세계적으로 생각하고; 지역적으로 행동하다13411-********일반법인중소기업<NA>62써멀마스터(주)Thermal Master Co.;Ltd.써멀마스터나**Na*www.thermalmaster.co.kr경기 화성시 비봉면 화성로1616번길 88-8; ;668-1988-8; Hwaseong-ro 1616beon-gil Bibong-myeon Hwaseong-si Gyeonggi182842019-12-24
234446959335-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/49000dream?Oem_Code=C900&api=232태건종합건설[강남대로 신축현장] 건축직 및 안전직 (신입/경력)모집<NA>신입/경력3년 이상3회사 내규에 따름<NA>0;0N대졸(4년)<NA>고객 중심 기업13481-********일반법인중소기업<NA>33(주)태건종합건설TAEGUN CONSTRUCTION CO.;LTD.태건종합건설임**Im*<NA>경기 오산시 대호로62번길 28; 2층2nd Floor; 28; Daeho-ro 62beon-gil Osan-si Gyeonggi181222019-12-28
334446996335-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/49000dream?Oem_Code=C900&api=232태건종합건설법인부동산 임대 및 마케팅담당 신입/경력<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0N대졸(2~3년)<NA>고객 중심 기업13481-********일반법인중소기업<NA>33(주)태건종합건설TAEGUN CONSTRUCTION CO.;LTD.태건종합건설임**Im*<NA>경기 오산시 대호로62번길 28; 2층2nd Floor; 28; Daeho-ro 62beon-gil Osan-si Gyeonggi181222019-12-28
434266496204-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/smlab?Oem_Code=C900&api=232의료법인 삼광의료재단[삼광랩트리]임상검사영업부 인턴사원 모집(채용연계형)<NA>신입<NA>0연봉2380만원 ~ 2880만원2380;2880N대졸(4년)<NA>신뢰받는 진단검사로 행복을 추구하는 신의료 서비스 명가11413-********비영리법인대상아님<NA>295(의)삼광의료재단Samkwang Medical Laboratories삼광의료재단황**Hwang*www.smlab.co.kr서울 서초구 바우뫼로41길 5757; Baumoe-ro 41-gil Seocho-gu Seoul67422020-01-30
534298194205-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/gb2345?Oem_Code=C900&api=232㈜가빈해외영업 영어권 신입 및 경력모집<NA>관계없음<NA>0연봉2960만원 ~ 2960만원2960;2960N대졸(2~3년)<NA>안전하고 건강한 제품 생산을 위해 노력하는 기업11011-********일반법인중소기업<NA>42(주)가빈Gahbin Corporation가빈김**Kim*www.gahbin.com경기 하남시 미사대로 612-1612-1; Misa-daero Hanam-si Gyeonggi129252020-01-18
634373188134-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/theone434?Oem_Code=C900&api=232㈜더원연구개발(Embedded programming; Micro-processor 응용; 공장자동화) 모집<NA>경력5년 이상5회사 내규에 따름<NA>0;0N학력무관<NA>도전과 창의의 정신으로 세계로 뻗어가는 기업13141-********일반법인중소기업<NA>15(주)더원THE ONE CO.; LTD.더원전**Jeon*www.theonesys.com경기 시흥시 서해안로 242; 510호242; Seohaean-ro Siheung-si Gyeonggi150862020-01-15
734373204129-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/pacom2010?Oem_Code=C900&api=232파콤영상시현㈜3D 설계 (경력직) 인원을 모집 합니다.<NA>경력5년 이상5연봉3500만원 ~ 5000만원3500;5000Y대졸(2~3년)<NA>20여년의 노하우와 전문 기술13111-********일반법인중소기업<NA>23파콤(주)PACOM DISL PLAY SYSTEM INC파콤박**Park*www.ipacom.co.kr경기 수원시 장안구 장안로 113; 3층3rd Floor; 113; Jangan-ro Jangan-gu Suwon-si Gyeonggi163142020-01-14
834385395132-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/ilsincable?Oem_Code=C900&api=232㈜일신본사-전기 자동제어 자재 구매 및 상담 관련 경력직 모집<NA>경력1년 이상1연봉3500만원 ~ 3600만원3500;3600Y고졸<NA>Since1988; 꾸준한 연구개발로 중견기업으로 우뚝 선 뚝심 있는 기업11521-********일반법인중견기업<NA>412(주)일신비츠온ILSINBICHEUON CO.;LTD.일신비츠온진**Jin*vitson.co.kr경기 남양주시 진접읍 팔야산단로12번길 55; 5655; Paryasandan-ro 12beon-gil Jinjeop-eup Namyangju-si Gyeonggi120172020-01-16
934388717136-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/she8081?Oem_Code=C900&api=232㈜신한엘리베이터수원 삼성전자 내 엘리베이터 유지보수 직원 채용<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0Y고졸<NA>안전시공; 확실한 A/S로 고객서비스를 실현하는 기업11011-********일반법인중소기업<NA>126(주)신한엘리베이터SHINHAN ELEVATOR CO.;LTD.신한엘리베이터음******Eum*www.shelevator.co.kr경기 김포시 양촌읍 황금로110번길 8585; Hwanggeum-ro 110beon-gil Yangchon-eup Gimpo-si Gyeonggi100472020-01-15
채용공고고유번호사업자등록번호기업정보URL기업명채용공고제목업종직종정보명경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명상세내용기업대표문구명법인등록번호기업주체명기업규모명상장일자종업원수한글업체명영문업체명약식업체명한글대표자명영문대표자명홈페이지URL본사한글주소본사영문주소본사우편번호데이터기준일자
1934419522120-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/nwhr?Oem_Code=C900&api=232㈜네오위즈[네오위즈] 각 부문 신입/경력 담당자 모집<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0Y학력무관<NA>네오위즈게임즈는 열정과 겸손을 통한 성장으로 모두의 행복을 추구합니다.11011-********일반법인중견기업2007-07-02908(주)네오위즈NEOWIZ Corporation네오위즈문******Mun*www.neowiz.com/neowiz경기 성남시 분당구 대왕판교로645번길 1414; Daewangpangyo-ro 645beon-gil Bundang-gu Seongnam-si Gyeonggi134872020-01-17
2034425937128-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/pstech02?Oem_Code=C900&api=232㈜가우리안마케팅부 신규인력 채용<NA>신입<NA>0연봉3000만원3000;0Y대졸(4년)<NA>아름다운 삶과 쾌적한 환경을 꿈꿉니다.11591-********일반법인중소기업<NA>34(주)가우리안GAURIAN CORPORATION가우리안김**Kim*www.gaurian.com경기 고양시 일산동구 무궁화로 20-38; 707호707-ho; 20-38; Mugunghwa-ro Ilsandong-gu Goyang-si Gyeonggi104012020-01-18
2134427253142-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/koreafms?Oem_Code=C900&api=232㈜에프엠에스코리아해외(영어)영업 담당자 모집<NA>신입/경력2년 이상2회사 내규에 따름<NA>0;0Y대졸(4년)<NA>감동온도 창출; 나눔온도 실현13451-********일반법인중소기업<NA>52(주)에프엠에스코리아FMS KOREA CO.;LTD.에프엠에스코리아최**Choe*www.f2m3s.co.kr경기 화성시 동탄산단7길 98-1298-12; Dongtansandan 7-gil Hwaseong-si Gyeonggi184872020-01-17
2234427698142-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/koreafms?Oem_Code=C900&api=232㈜에프엠에스코리아기구설계 및 개발 담당자 (경력) 채용<NA>경력1년 이상1연봉<NA>0;0Y학력무관<NA>감동온도 창출; 나눔온도 실현13451-********일반법인중소기업<NA>52(주)에프엠에스코리아FMS KOREA CO.;LTD.에프엠에스코리아최**Choe*www.f2m3s.co.kr경기 화성시 동탄산단7길 98-1298-12; Dongtansandan 7-gil Hwaseong-si Gyeonggi184872020-01-17
2334428076129-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/brique0901?Oem_Code=C900&api=232㈜브릭프론트엔드 개발자 채용 (전문연구요원 포함)<NA>경력3년 이상3회사 내규에 따름<NA>0;0Y학력무관<NA>불확실성을 제거하는 혁신기술을 만드는 기업13111-********일반법인중소기업<NA>66(주)브릭Brique Inc.브릭김**Kim*<NA>경기 성남시 분당구 판교역로 230; B동 309호B-dong; 309-ho; 230; Pangyoyeok-ro Bundang-gu Seongnam-si Gyeonggi134932020-01-09
2434435251837-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/cfsdeo1?Oem_Code=C900&api=232쿠팡풀필먼트서비스[쿠팡] 덕평1센터 소화물 분류 계약직 사원 모집<NA>관계없음<NA>0월급270만원 ~ 348만원270;348N학력무관<NA>쿠팡 풀필먼트서비스 운영 총괄 전문기업11011-********일반법인중견기업<NA>19662쿠팡풀필먼트서비스(유)Coupang Fulfillment Services Ltd.쿠팡풀필먼트서비스노*******Joseph*<NA>서울 송파구 송파대로 570; 8층8th Floor; 570; Songpa-daero Songpa-gu Seoul55102020-01-18
2534436046133-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/autogen12?Oem_Code=C900&api=232오토젠(주)오토젠; 재무팀 출납 및 회계담당 사원급 채용<NA>경력2년 이상2회사 내규에 따름<NA>0;0Y대졸(2~3년)<NA>자동차 부품 제조업; 금형 제조! 자동차 Body의 부품업체!12441-********일반법인중소기업<NA>99(주)오토젠Autogen Co.;Ltd.오토젠조******Jo*www.autogen.kr경기 시흥시 시화벤처로 249249; Sihwabencheo-ro Siheung-si Gyeonggi151182020-01-14
2634436347127-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/texon04?Oem_Code=C900&api=232㈜텍슨베트남주재원 : 부서별 경력직 채용(생산관리;기술설계;생산)<NA>경력5년 이상5회사 내규에 따름<NA>0;0Y대졸(2~3년)<NA>무선통신장비의 EMS와 ESS 제품을 제조하는 업체11151-********일반법인중견기업<NA>198(주)텍슨TEXON CO.;LTD.텍슨류******Ryu*www.texon.co.kr경기 의정부시 산단로98번길 2424; Sandan-ro 98beon-gil Uijeongbu-si Gyeonggi117812020-01-16
2734436370127-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/texon04?Oem_Code=C900&api=232㈜텍슨수원연구소 - 기구설계 및 엔지니어 채용(신입 및 과;차장급)<NA>신입/경력5년 이상5회사 내규에 따름<NA>0;0N대졸(4년)<NA>무선통신장비의 EMS와 ESS 제품을 제조하는 업체11151-********일반법인중견기업<NA>198(주)텍슨TEXON CO.;LTD.텍슨류******Ryu*www.texon.co.kr경기 의정부시 산단로98번길 2424; Sandan-ro 98beon-gil Uijeongbu-si Gyeonggi117812020-01-16
2834438115138-**-*****http://www.jobkorea.co.kr/Recruit/Co_Read/C/espinc?Oem_Code=C900&api=232이에스피㈜전력계통 엔지니어링 전문가를 모십니다.<NA>신입/경력1년 이상1연봉4000만원 ~ 7000만원4000;7000N대졸(4년)<NA>전력계통 보호; 제어; 컨설팅 및 엔지니어링 분야의 기술 중심 기업13411-********일반법인중소기업<NA>31이에스피(주)ESP INC.이에스피김**Kim*<NA>경기 안양시 동안구 시민대로365번길 40; C동 3101호; 3209호C-dong; 3101-ho; 40; Simin-daero 365beon-gil Dongan-gu Anyang-si Gyeonggi140572020-01-11