Overview

Dataset statistics

Number of variables8
Number of observations428
Missing cells707
Missing cells (%)20.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.3 KiB
Average record size in memory65.3 B

Variable types

Numeric1
Text5
Categorical1
DateTime1

Dataset

Description고령자 적합직종을 개발하여 기업설립을 지원함으로써 시장경쟁력과 지속성을 갖춘 노인일자리 창출 사업의 기업 지정 현황의 데이터를 제공합니다,
Author한국노인인력개발원
URLhttps://www.data.go.kr/data/15010672/fileData.do

Alerts

대표자명 has 45 (10.5%) missing valuesMissing
사업내용 has 181 (42.3%) missing valuesMissing
전화번호 has 64 (15.0%) missing valuesMissing
설립시기 has 417 (97.4%) missing valuesMissing
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:14:54.848157
Analysis finished2023-12-12 16:14:56.281720
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Real number (ℝ)

UNIQUE 

Distinct428
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348647.9
Minimum127
Maximum899083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-13T01:14:56.357231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127
5-th percentile2764.75
Q15109.75
median296584
Q3616333.75
95-th percentile863733.35
Maximum899083
Range898956
Interquartile range (IQR)611224

Descriptive statistics

Standard deviation329367.81
Coefficient of variation (CV)0.9447004
Kurtosis-1.4340055
Mean348647.9
Median Absolute Deviation (MAD)291513.5
Skewness0.368103
Sum1.492213 × 108
Variance1.0848316 × 1011
MonotonicityNot monotonic
2023-12-13T01:14:56.481308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
899083 1
 
0.2%
6064 1
 
0.2%
6068 1
 
0.2%
29083 1
 
0.2%
30083 1
 
0.2%
31083 1
 
0.2%
31084 1
 
0.2%
30085 1
 
0.2%
31085 1
 
0.2%
30086 1
 
0.2%
Other values (418) 418
97.7%
ValueCountFrequency (%)
127 1
0.2%
168 1
0.2%
171 1
0.2%
172 1
0.2%
464 1
0.2%
467 1
0.2%
488 1
0.2%
571 1
0.2%
634 1
0.2%
656 1
0.2%
ValueCountFrequency (%)
899083 1
0.2%
898083 1
0.2%
897083 1
0.2%
895083 1
0.2%
894084 1
0.2%
894083 1
0.2%
893083 1
0.2%
891083 1
0.2%
889083 1
0.2%
887083 1
0.2%

기업명
Text

Distinct422
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T01:14:56.737190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.067757
Min length3

Characters and Unicode

Total characters3881
Distinct characters425
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

Unique417 ?
Unique (%)97.4%

Sample

1st row(유)온누리푸드넷
2nd row그레이스패션(주)
3rd row좋은일자리만들기협동조합
4th row코즈 사회적협동조합
5th row(주)일지테크
ValueCountFrequency (%)
주식회사 60
 
11.0%
농업회사법인 19
 
3.5%
협동조합 6
 
1.1%
대한노인회 4
 
0.7%
포항일자리창출시니어클럽 3
 
0.6%
사회적협동조합 3
 
0.6%
유한회사 3
 
0.6%
의료법인 2
 
0.4%
고마음 2
 
0.4%
한국노인인력개발원 2
 
0.4%
Other values (434) 439
80.8%
2023-12-13T01:14:57.114204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 340
 
8.8%
( 264
 
6.8%
) 264
 
6.8%
사 136
 
3.5%
회 128
 
3.3%
115
 
3.0%
식 92
 
2.4%
인 60
 
1.5%
스 58
 
1.5%
리 57
 
1.5%
Other values (415) 2367
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3210
82.7%
Open Punctuation 264
 
6.8%
Close Punctuation 264
 
6.8%
Space Separator 115
 
3.0%
Decimal Number 15
 
0.4%
Uppercase Letter 7
 
0.2%
Lowercase Letter 4
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 340
 
10.6%
사 136
 
4.2%
회 128
 
4.0%
식 92
 
2.9%
인 60
 
1.9%
스 58
 
1.8%
리 57
 
1.8%
이 55
 
1.7%
어 50
 
1.6%
시 48
 
1.5%
Other values (393) 2186
68.1%
Decimal Number
ValueCountFrequency (%)
0 4
26.7%
8 3
20.0%
6 3
20.0%
2 2
13.3%
9 1
 
6.7%
1 1
 
6.7%
5 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
F 2
28.6%
H 1
14.3%
G 1
14.3%
M 1
14.3%
S 1
14.3%
B 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
25.0%
c 1
25.0%
p 1
25.0%
l 1
25.0%
Other Punctuation
ValueCountFrequency (%)
？ 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Space Separator
ValueCountFrequency (%)
115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3210
82.7%
Common 660
 
17.0%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 340
 
10.6%
사 136
 
4.2%
회 128
 
4.0%
식 92
 
2.9%
인 60
 
1.9%
스 58
 
1.8%
리 57
 
1.8%
이 55
 
1.7%
어 50
 
1.6%
시 48
 
1.5%
Other values (393) 2186
68.1%
Common
ValueCountFrequency (%)
( 264
40.0%
) 264
40.0%
115
17.4%
0 4
 
0.6%
8 3
 
0.5%
6 3
 
0.5%
2 2
 
0.3%
9 1
 
0.2%
？ 1
 
0.2%
1 1
 
0.2%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
F 2
18.2%
H 1
9.1%
G 1
9.1%
M 1
9.1%
S 1
9.1%
n 1
9.1%
c 1
9.1%
B 1
9.1%
p 1
9.1%
l 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3210
82.7%
ASCII 670
 
17.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 340
 
10.6%
사 136
 
4.2%
회 128
 
4.0%
식 92
 
2.9%
인 60
 
1.9%
스 58
 
1.8%
리 57
 
1.8%
이 55
 
1.7%
어 50
 
1.6%
시 48
 
1.5%
Other values (393) 2186
68.1%
ASCII
ValueCountFrequency (%)
( 264
39.4%
) 264
39.4%
115
17.2%
0 4
 
0.6%
8 3
 
0.4%
6 3
 
0.4%
F 2
 
0.3%
2 2
 
0.3%
9 1
 
0.1%
H 1
 
0.1%
Other values (11) 11
 
1.6%
None
ValueCountFrequency (%)
？ 1
100.0%

대표자명
Text

MISSING 

Distinct358
Distinct (%)93.5%
Missing45
Missing (%)10.5%
Memory size3.5 KiB
2023-12-13T01:14:57.493289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0600522
Min length2

Characters and Unicode

Total characters1172
Distinct characters150
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

Unique336 ?
Unique (%)87.7%

Sample

1st row최민철
2nd row오기남
3rd row이현태
4th row방은호
5th row오정경
ValueCountFrequency (%)
박진옥 3
 
0.8%
이화천 3
 
0.8%
김미영 3
 
0.8%
정장환 2
 
0.5%
박종원 2
 
0.5%
허윤호 2
 
0.5%
김연용 2
 
0.5%
박태우 2
 
0.5%
장우철 2
 
0.5%
신승연 2
 
0.5%
Other values (357) 369
94.1%
2023-12-13T01:14:58.003525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 73
 
6.2%
이 53
 
4.5%
정 46
 
3.9%
박 44
 
3.8%
영 31
 
2.6%
호 27
 
2.3%
진 25
 
2.1%
현 23
 
2.0%
재 22
 
1.9%
성 20
 
1.7%
Other values (140) 808
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1160
99.0%
Space Separator 9
 
0.8%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 73
 
6.3%
이 53
 
4.6%
정 46
 
4.0%
박 44
 
3.8%
영 31
 
2.7%
호 27
 
2.3%
진 25
 
2.2%
현 23
 
2.0%
재 22
 
1.9%
성 20
 
1.7%
Other values (138) 796
68.6%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1160
99.0%
Common 12
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 73
 
6.3%
이 53
 
4.6%
정 46
 
4.0%
박 44
 
3.8%
영 31
 
2.7%
호 27
 
2.3%
진 25
 
2.2%
현 23
 
2.0%
재 22
 
1.9%
성 20
 
1.7%
Other values (138) 796
68.6%
Common
ValueCountFrequency (%)
9
75.0%
, 3
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1160
99.0%
ASCII 12
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 73
 
6.3%
이 53
 
4.6%
정 46
 
4.0%
박 44
 
3.8%
영 31
 
2.7%
호 27
 
2.3%
진 25
 
2.2%
현 23
 
2.0%
재 22
 
1.9%
성 20
 
1.7%
Other values (138) 796
68.6%
ASCII
ValueCountFrequency (%)
9
75.0%
, 3
 
25.0%

업종
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
제조업
218 
서비스업
123 
기타
66 
인력파견업
 
16
<NA>
 
5

Length

Max length5
Median length3
Mean length3.2196262
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row제조업
3rd row서비스업
4th row제조업
5th row제조업

Common Values

ValueCountFrequency (%)
제조업 218
50.9%
서비스업 123
28.7%
기타 66
 
15.4%
인력파견업 16
 
3.7%
<NA> 5
 
1.2%

Length

2023-12-13T01:14:58.149361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:14:58.270214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 218
50.9%
서비스업 123
28.7%
기타 66
 
15.4%
인력파견업 16
 
3.7%
na 5
 
1.2%

사업내용
Text

MISSING 

Distinct201
Distinct (%)81.4%
Missing181
Missing (%)42.3%
Memory size3.5 KiB
2023-12-13T01:14:58.666314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length15.153846
Min length3

Characters and Unicode

Total characters3743
Distinct characters391
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)79.8%

Sample

1st row고령자친화기업
2nd row고령자작업환경개선및일자리창출
3rd row노년과 청년이 함께 성장하는 기업
4th row시니어 건강 일자리 창출
5th row착한기업 한전FMS의 고령자 대상 양질의 일자리 확대 사업
ValueCountFrequency (%)
고령자친화기업 48
 
6.3%
및 28
 
3.7%
고령자 21
 
2.7%
사업 18
 
2.4%
일자리 17
 
2.2%
제조 15
 
2.0%
활용한 15
 
2.0%
창출 15
 
2.0%
고령자친화기업사업 8
 
1.0%
생산 8
 
1.0%
Other values (471) 571
74.7%
2023-12-13T01:14:59.216315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
520
 
13.9%
업 165
 
4.4%
고 141
 
3.8%
자 137
 
3.7%
령 119
 
3.2%
기 103
 
2.8%
화 94
 
2.5%
친 84
 
2.2%
사 83
 
2.2%
리 57
 
1.5%
Other values (381) 2240
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3059
81.7%
Space Separator 520
 
13.9%
Decimal Number 47
 
1.3%
Other Punctuation 33
 
0.9%
Open Punctuation 26
 
0.7%
Close Punctuation 26
 
0.7%
Uppercase Letter 26
 
0.7%
Lowercase Letter 5
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 165
 
5.4%
고 141
 
4.6%
자 137
 
4.5%
령 119
 
3.9%
기 103
 
3.4%
화 94
 
3.1%
친 84
 
2.7%
사 83
 
2.7%
리 57
 
1.9%
제 56
 
1.8%
Other values (341) 2020
66.0%
Uppercase Letter
ValueCountFrequency (%)
I 4
15.4%
H 3
11.5%
R 3
11.5%
T 3
11.5%
M 3
11.5%
S 2
7.7%
G 2
7.7%
F 2
7.7%
W 1
 
3.8%
O 1
 
3.8%
Other values (2) 2
7.7%
Other Punctuation
ValueCountFrequency (%)
, 13
39.4%
. 10
30.3%
/ 3
 
9.1%
' 2
 
6.1%
& 1
 
3.0%
· 1
 
3.0%
* 1
 
3.0%
: 1
 
3.0%
？ 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
2 21
44.7%
0 13
27.7%
1 5
 
10.6%
3 4
 
8.5%
9 2
 
4.3%
5 1
 
2.1%
6 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
a 1
20.0%
b 1
20.0%
o 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 24
92.3%
『 1
 
3.8%
【 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 24
92.3%
』 1
 
3.8%
】 1
 
3.8%
Space Separator
ValueCountFrequency (%)
520
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3059
81.7%
Common 653
 
17.4%
Latin 31
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 165
 
5.4%
고 141
 
4.6%
자 137
 
4.5%
령 119
 
3.9%
기 103
 
3.4%
화 94
 
3.1%
친 84
 
2.7%
사 83
 
2.7%
리 57
 
1.9%
제 56
 
1.8%
Other values (341) 2020
66.0%
Common
ValueCountFrequency (%)
520
79.6%
( 24
 
3.7%
) 24
 
3.7%
2 21
 
3.2%
, 13
 
2.0%
0 13
 
2.0%
. 10
 
1.5%
1 5
 
0.8%
3 4
 
0.6%
/ 3
 
0.5%
Other values (14) 16
 
2.5%
Latin
ValueCountFrequency (%)
I 4
12.9%
H 3
9.7%
R 3
9.7%
T 3
9.7%
M 3
9.7%
S 2
 
6.5%
G 2
 
6.5%
F 2
 
6.5%
l 2
 
6.5%
W 1
 
3.2%
Other values (6) 6
19.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3057
81.7%
ASCII 678
 
18.1%
None 6
 
0.2%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
520
76.7%
( 24
 
3.5%
) 24
 
3.5%
2 21
 
3.1%
, 13
 
1.9%
0 13
 
1.9%
. 10
 
1.5%
1 5
 
0.7%
I 4
 
0.6%
3 4
 
0.6%
Other values (24) 40
 
5.9%
Hangul
ValueCountFrequency (%)
업 165
 
5.4%
고 141
 
4.6%
자 137
 
4.5%
령 119
 
3.9%
기 103
 
3.4%
화 94
 
3.1%
친 84
 
2.7%
사 83
 
2.7%
리 57
 
1.9%
제 56
 
1.8%
Other values (340) 2018
66.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
· 1
16.7%
』 1
16.7%
『 1
16.7%
】 1
16.7%
【 1
16.7%
？ 1
16.7%

소재지
Text

Distinct420
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T01:14:59.523623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length46
Mean length32.754673
Min length2

Characters and Unicode

Total characters14019
Distinct characters402
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)96.7%

Sample

1st row[54806]전라북도 전주시 덕진구 암실길 95 (반월동)
2nd row[08830]서울특별시 관악구 쑥고개로 42 (봉천동)2,3층
3rd row[32988]충청남도 논산시 시민로 187 (내동)3층(내동,홈플러스)
4th row[48812]부산광역시 동구 초량상로63번가길 16 (초량동)동구 일자리복합센터(마을공동작업소)
5th row[38471]경상북도 경산시 진량읍 공단4로 50
ValueCountFrequency (%)
동구 15
 
0.7%
서구 12
 
0.6%
전주시 10
 
0.5%
고양시 10
 
0.5%
2층 10
 
0.5%
중구 9
 
0.4%
남구 9
 
0.4%
강남구 8
 
0.4%
3층 7
 
0.3%
달서구 7
 
0.3%
Other values (1611) 1971
95.3%
2023-12-13T01:15:00.085986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1647
 
11.7%
1 661
 
4.7%
2 506
 
3.6%
3 467
 
3.3%
[ 429
 
3.1%
] 429
 
3.1%
4 427
 
3.0%
0 412
 
2.9%
5 363
 
2.6%
시 362
 
2.6%
Other values (392) 8316
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6842
48.8%
Decimal Number 4004
28.6%
Space Separator 1647
 
11.7%
Open Punctuation 676
 
4.8%
Close Punctuation 676
 
4.8%
Dash Punctuation 124
 
0.9%
Other Punctuation 30
 
0.2%
Uppercase Letter 16
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 362
 
5.3%
동 348
 
5.1%
로 331
 
4.8%
도 281
 
4.1%
구 239
 
3.5%
길 191
 
2.8%
산 182
 
2.7%
경 146
 
2.1%
광 132
 
1.9%
서 129
 
1.9%
Other values (359) 4501
65.8%
Decimal Number
ValueCountFrequency (%)
1 661
16.5%
2 506
12.6%
3 467
11.7%
4 427
10.7%
0 412
10.3%
5 363
9.1%
6 330
8.2%
8 318
7.9%
7 296
7.4%
9 224
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
25.0%
B 3
18.8%
E 2
12.5%
A 2
12.5%
D 2
12.5%
M 1
 
6.2%
I 1
 
6.2%
N 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 20
66.7%
. 6
 
20.0%
& 2
 
6.7%
* 1
 
3.3%
/ 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
j 1
33.3%
a 1
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 429
63.5%
( 247
36.5%
Close Punctuation
ValueCountFrequency (%)
] 429
63.5%
) 247
36.5%
Space Separator
ValueCountFrequency (%)
1647
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7158
51.1%
Hangul 6842
48.8%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 362
 
5.3%
동 348
 
5.1%
로 331
 
4.8%
도 281
 
4.1%
구 239
 
3.5%
길 191
 
2.8%
산 182
 
2.7%
경 146
 
2.1%
광 132
 
1.9%
서 129
 
1.9%
Other values (359) 4501
65.8%
Common
ValueCountFrequency (%)
1647
23.0%
1 661
9.2%
2 506
 
7.1%
3 467
 
6.5%
[ 429
 
6.0%
] 429
 
6.0%
4 427
 
6.0%
0 412
 
5.8%
5 363
 
5.1%
6 330
 
4.6%
Other values (12) 1487
20.8%
Latin
ValueCountFrequency (%)
C 4
21.1%
B 3
15.8%
E 2
10.5%
A 2
10.5%
D 2
10.5%
M 1
 
5.3%
c 1
 
5.3%
j 1
 
5.3%
I 1
 
5.3%
N 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7177
51.2%
Hangul 6842
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1647
22.9%
1 661
9.2%
2 506
 
7.1%
3 467
 
6.5%
[ 429
 
6.0%
] 429
 
6.0%
4 427
 
5.9%
0 412
 
5.7%
5 363
 
5.1%
6 330
 
4.6%
Other values (23) 1506
21.0%
Hangul
ValueCountFrequency (%)
시 362
 
5.3%
동 348
 
5.1%
로 331
 
4.8%
도 281
 
4.1%
구 239
 
3.5%
길 191
 
2.8%
산 182
 
2.7%
경 146
 
2.1%
광 132
 
1.9%
서 129
 
1.9%
Other values (359) 4501
65.8%

전화번호
Text

MISSING 

Distinct345
Distinct (%)94.8%
Missing64
Missing (%)15.0%
Memory size3.5 KiB
2023-12-13T01:15:00.425391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03022
Min length11

Characters and Unicode

Total characters4379
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)91.2%

Sample

1st row063-214-8400
2nd row02-888-1490
3rd row041-734-8474
4th row052-289-8808
5th row053-859-1027
ValueCountFrequency (%)
031-1111-1111 5
 
1.4%
054-231-1919 4
 
1.1%
033-645-9071 3
 
0.8%
031-461-8662 2
 
0.5%
041-335-1108 2
 
0.5%
063-236-8812 2
 
0.5%
041-642-8886 2
 
0.5%
032-473-7800 2
 
0.5%
061-333-5588 2
 
0.5%
054-732-3799 2
 
0.5%
Other values (335) 338
92.9%
2023-12-13T01:15:00.921400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 728
16.6%
0 654
14.9%
3 495
11.3%
1 484
11.1%
5 354
8.1%
2 349
8.0%
4 323
7.4%
6 286
 
6.5%
7 274
 
6.3%
8 228
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3651
83.4%
Dash Punctuation 728
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 654
17.9%
3 495
13.6%
1 484
13.3%
5 354
9.7%
2 349
9.6%
4 323
8.8%
6 286
7.8%
7 274
7.5%
8 228
 
6.2%
9 204
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 728
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 728
16.6%
0 654
14.9%
3 495
11.3%
1 484
11.1%
5 354
8.1%
2 349
8.0%
4 323
7.4%
6 286
 
6.5%
7 274
 
6.3%
8 228
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 728
16.6%
0 654
14.9%
3 495
11.3%
1 484
11.1%
5 354
8.1%
2 349
8.0%
4 323
7.4%
6 286
 
6.5%
7 274
 
6.3%
8 228
 
5.2%

설립시기
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing417
Missing (%)97.4%
Memory size3.5 KiB
Minimum1976-11-29 00:00:00
Maximum2009-01-29 00:00:00
2023-12-13T01:15:01.055824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:01.160108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

Interactions

2023-12-13T01:14:55.841261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:15:01.232422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호업종설립시기
지정번호1.0000.164NaN
업종0.1641.0001.000
설립시기NaN1.0001.000
2023-12-13T01:15:01.342974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호업종
지정번호1.0000.098
업종0.0981.000

Missing values

2023-12-13T01:14:55.973928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:14:56.089350image/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.
2023-12-13T01:14:56.205820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지정번호기업명대표자명업종사업내용소재지전화번호설립시기
0899083(유)온누리푸드넷최민철기타<NA>[54806]전라북도 전주시 덕진구 암실길 95 (반월동)063-214-8400<NA>
1898083그레이스패션(주)오기남제조업고령자친화기업[08830]서울특별시 관악구 쑥고개로 42 (봉천동)2,3층02-888-1490<NA>
2897083좋은일자리만들기협동조합이현태서비스업<NA>[32988]충청남도 논산시 시민로 187 (내동)3층(내동,홈플러스)041-734-8474<NA>
3895083코즈 사회적협동조합방은호제조업<NA>[48812]부산광역시 동구 초량상로63번가길 16 (초량동)동구 일자리복합센터(마을공동작업소)052-289-8808<NA>
4894084(주)일지테크<NA>제조업<NA>[38471]경상북도 경산시 진량읍 공단4로 50053-859-1027<NA>
5894083유한회사 징코푸드시스템<NA>제조업고령자작업환경개선및일자리창출[56320]전라북도 부안군 주산면 주산동로 80-7063-582-0657<NA>
6893083주식회사쎄미일렉트릭오정경제조업노년과 청년이 함께 성장하는 기업[12809]경기도 광주시 도척면 도척윗로 328-32031-769-0280<NA>
7891083남도맛집지원 협동조합<NA>서비스업시니어 건강 일자리 창출[62425]광주광역시 광산구 상무대로 380-9 (신촌동)062-266-9161<NA>
8889083한전에프엠에스 주식회사<NA>기타착한기업 한전FMS의 고령자 대상 양질의 일자리 확대 사업[58217]전라남도 나주시 빛가람로 727 (빛가람동)칠성빌딩 5층061-820-7355<NA>
9887083(주)한국종합안전연구원<NA>기타2023년 고령자친화기업 사업계획서 시설물 안전진단점검[26344]강원특별자치도 원주시 우무개로 185 (우산동)1층033-732-8912<NA>
지정번호기업명대표자명업종사업내용소재지전화번호설립시기
4185018(주)시니어맘조병수인력파견업<NA>[462827]<NA><NA>
4195017(주)보듬이허윤호인력파견업<NA>[301707]<NA><NA>
4205016(주)마음터김희숙인력파견업<NA>[302869]대전광역시 서구둔산동 계룡로491번길56 3층<NA><NA>
4215015(주)희망과복지이영배인력파견업<NA>[380060]<NA><NA>
4225014(주)6088식품윤형묵제조업<NA>[660845]<NA><NA>
4235013(주)이웃애황경연서비스업<NA>[135010]<NA><NA>
4245011(주)딜리셔스플랜황광순제조업<NA>[410530]<NA><NA>
4255010(주)덕용잡스박노봉인력파견업<NA>[150753]서울 특별시 영등포구 국회대로539<NA><NA>
4265009(주)고을곽인철<NA><NA>[642030]<NA><NA>
4274012군산상공회의소김동수서비스업<NA>[54076]전라북도 군산시 조촌안3길 2 (조촌동)군산상공회의소 4층063-453-8602<NA>