Overview

Dataset statistics

Number of variables6
Number of observations2310
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.7 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text5

Dataset

Description* 스마트공장사업관리시스템 (smart-factory.kr, 중소기업기술정보진흥원(기정원) 스마트공장추진단) 개방 데이터입니다.* 스마트제조혁신추진단 사업관리시스템에 등록되고 스마트 공장을 보급하는 공급기업에 대한 정보입니다.* 데이터 구성은 부여번호, 회사명, 대표자, 주소, 담당자, 담당자직위, 담당자 전화번호 순입니다.
Author중소벤처기업부
URLhttps://www.data.go.kr/data/15042132/fileData.do

Alerts

부여번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:09:37.245060
Analysis finished2024-04-21 01:09:38.633588
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부여번호
Real number (ℝ)

UNIQUE 

Distinct2310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10100534
Minimum10000798
Maximum10232368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-04-21T10:09:38.705252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000798
5-th percentile10064905
Q110077892
median10089046
Q310102602
95-th percentile10231399
Maximum10232368
Range231570
Interquartile range (IQR)24710

Descriptive statistics

Standard deviation46983.147
Coefficient of variation (CV)0.0046515507
Kurtosis3.4025304
Mean10100534
Median Absolute Deviation (MAD)11753.5
Skewness1.8775991
Sum2.3332234 × 1010
Variance2.2074161 × 109
MonotonicityNot monotonic
2024-04-21T10:09:38.838481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10099000 1
 
< 0.1%
10084809 1
 
< 0.1%
10102450 1
 
< 0.1%
10082224 1
 
< 0.1%
10076390 1
 
< 0.1%
10104542 1
 
< 0.1%
10072447 1
 
< 0.1%
10097996 1
 
< 0.1%
10061848 1
 
< 0.1%
10079313 1
 
< 0.1%
Other values (2300) 2300
99.6%
ValueCountFrequency (%)
10000798 1
< 0.1%
10000859 1
< 0.1%
10000879 1
< 0.1%
10001016 1
< 0.1%
10001333 1
< 0.1%
10001336 1
< 0.1%
10001394 1
< 0.1%
10001576 1
< 0.1%
10001721 1
< 0.1%
10001769 1
< 0.1%
ValueCountFrequency (%)
10232368 1
< 0.1%
10232363 1
< 0.1%
10232255 1
< 0.1%
10232252 1
< 0.1%
10232214 1
< 0.1%
10232201 1
< 0.1%
10232149 1
< 0.1%
10232148 1
< 0.1%
10232110 1
< 0.1%
10232073 1
< 0.1%

기업명
Text

Distinct2300
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size18.2 KiB
2024-04-21T10:09:39.083660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length8.0025974
Min length2

Characters and Unicode

Total characters18486
Distinct characters562
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2290 ?
Unique (%)99.1%

Sample

1st row 피플앤드테크놀로지
2nd row 이성(주)
3rd row(사)캠틱종합기술원
4th row(사)케이에스콘컨설팅지원단
5th row(사)한국인공지능제조이니셔티브
ValueCountFrequency (%)
주식회사 517
 
17.8%
주 16
 
0.6%
유한회사 4
 
0.1%
시스템 3
 
0.1%
코리아 3
 
0.1%
제이솔루션 2
 
0.1%
아이앤티 2
 
0.1%
주)엠아이티 2
 
0.1%
스마트 2
 
0.1%
테라 2
 
0.1%
Other values (2335) 2352
81.0%
2024-04-21T10:09:39.453629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1736
 
9.4%
) 1159
 
6.3%
( 1154
 
6.2%
이 918
 
5.0%
스 872
 
4.7%
사 637
 
3.4%
회 609
 
3.3%
609
 
3.3%
식 602
 
3.3%
에 464
 
2.5%
Other values (552) 9726
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15234
82.4%
Close Punctuation 1159
 
6.3%
Open Punctuation 1154
 
6.2%
Space Separator 609
 
3.3%
Uppercase Letter 176
 
1.0%
Lowercase Letter 131
 
0.7%
Other Punctuation 13
 
0.1%
Decimal Number 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1736
 
11.4%
이 918
 
6.0%
스 872
 
5.7%
사 637
 
4.2%
회 609
 
4.0%
식 602
 
4.0%
에 464
 
3.0%
아 379
 
2.5%
트 315
 
2.1%
지 248
 
1.6%
Other values (494) 8454
55.5%
Lowercase Letter
ValueCountFrequency (%)
o 14
10.7%
e 13
 
9.9%
n 12
 
9.2%
a 11
 
8.4%
t 11
 
8.4%
i 10
 
7.6%
s 9
 
6.9%
r 8
 
6.1%
f 5
 
3.8%
g 5
 
3.8%
Other values (13) 33
25.2%
Uppercase Letter
ValueCountFrequency (%)
S 25
14.2%
A 13
 
7.4%
E 13
 
7.4%
C 13
 
7.4%
I 12
 
6.8%
L 11
 
6.2%
N 11
 
6.2%
T 10
 
5.7%
K 9
 
5.1%
G 8
 
4.5%
Other values (12) 51
29.0%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
4 1
20.0%
2 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 5
38.5%
. 5
38.5%
, 3
23.1%
Close Punctuation
ValueCountFrequency (%)
) 1159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1154
100.0%
Space Separator
ValueCountFrequency (%)
609
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15235
82.4%
Common 2944
 
15.9%
Latin 307
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1736
 
11.4%
이 918
 
6.0%
스 872
 
5.7%
사 637
 
4.2%
회 609
 
4.0%
식 602
 
4.0%
에 464
 
3.0%
아 379
 
2.5%
트 315
 
2.1%
지 248
 
1.6%
Other values (495) 8455
55.5%
Latin
ValueCountFrequency (%)
S 25
 
8.1%
o 14
 
4.6%
A 13
 
4.2%
e 13
 
4.2%
E 13
 
4.2%
C 13
 
4.2%
I 12
 
3.9%
n 12
 
3.9%
a 11
 
3.6%
t 11
 
3.6%
Other values (35) 170
55.4%
Common
ValueCountFrequency (%)
) 1159
39.4%
( 1154
39.2%
609
20.7%
& 5
 
0.2%
. 5
 
0.2%
- 3
 
0.1%
, 3
 
0.1%
3 2
 
0.1%
_ 1
 
< 0.1%
4 1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15234
82.4%
ASCII 3251
 
17.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1736
 
11.4%
이 918
 
6.0%
스 872
 
5.7%
사 637
 
4.2%
회 609
 
4.0%
식 602
 
4.0%
에 464
 
3.0%
아 379
 
2.5%
트 315
 
2.1%
지 248
 
1.6%
Other values (494) 8454
55.5%
ASCII
ValueCountFrequency (%)
) 1159
35.7%
( 1154
35.5%
609
18.7%
S 25
 
0.8%
o 14
 
0.4%
A 13
 
0.4%
e 13
 
0.4%
E 13
 
0.4%
C 13
 
0.4%
I 12
 
0.4%
Other values (47) 226
 
7.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자명
Text

Distinct2182
Distinct (%)94.5%
Missing2
Missing (%)0.1%
Memory size18.2 KiB
2024-04-21T10:09:39.743368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.1468804
Min length1

Characters and Unicode

Total characters7263
Distinct characters276
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2072 ?
Unique (%)89.8%

Sample

1st row임진순
2nd row성현모
3rd row노상흡
4th row박남규
5th row차상균
ValueCountFrequency (%)
김주영 4
 
0.2%
김태훈 4
 
0.2%
박준호 4
 
0.2%
한창엽 3
 
0.1%
정성욱 3
 
0.1%
김현우 3
 
0.1%
김영주 3
 
0.1%
김용호 3
 
0.1%
정태영 3
 
0.1%
김성민 3
 
0.1%
Other values (2220) 2341
98.6%
2024-04-21T10:09:40.175721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 474
 
6.5%
이 374
 
5.1%
정 238
 
3.3%
박 198
 
2.7%
영 185
 
2.5%
성 167
 
2.3%
호 143
 
2.0%
현 132
 
1.8%
진 132
 
1.8%
최 130
 
1.8%
Other values (266) 5090
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7075
97.4%
Space Separator 74
 
1.0%
Other Punctuation 54
 
0.7%
Uppercase Letter 54
 
0.7%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 474
 
6.7%
이 374
 
5.3%
정 238
 
3.4%
박 198
 
2.8%
영 185
 
2.6%
성 167
 
2.4%
호 143
 
2.0%
현 132
 
1.9%
진 132
 
1.9%
최 130
 
1.8%
Other values (238) 4902
69.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
14.8%
O 5
 
9.3%
K 4
 
7.4%
I 4
 
7.4%
U 3
 
5.6%
R 3
 
5.6%
M 3
 
5.6%
Y 3
 
5.6%
E 3
 
5.6%
L 3
 
5.6%
Other values (11) 15
27.8%
Other Punctuation
ValueCountFrequency (%)
, 52
96.3%
/ 1
 
1.9%
. 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
3 1
 
16.7%
0 1
 
16.7%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7075
97.4%
Common 134
 
1.8%
Latin 54
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 474
 
6.7%
이 374
 
5.3%
정 238
 
3.4%
박 198
 
2.8%
영 185
 
2.6%
성 167
 
2.4%
호 143
 
2.0%
현 132
 
1.9%
진 132
 
1.9%
최 130
 
1.8%
Other values (238) 4902
69.3%
Latin
ValueCountFrequency (%)
A 8
14.8%
O 5
 
9.3%
K 4
 
7.4%
I 4
 
7.4%
U 3
 
5.6%
R 3
 
5.6%
M 3
 
5.6%
Y 3
 
5.6%
E 3
 
5.6%
L 3
 
5.6%
Other values (11) 15
27.8%
Common
ValueCountFrequency (%)
74
55.2%
, 52
38.8%
1 4
 
3.0%
3 1
 
0.7%
/ 1
 
0.7%
0 1
 
0.7%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7075
97.4%
ASCII 188
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 474
 
6.7%
이 374
 
5.3%
정 238
 
3.4%
박 198
 
2.8%
영 185
 
2.6%
성 167
 
2.4%
호 143
 
2.0%
현 132
 
1.9%
진 132
 
1.9%
최 130
 
1.8%
Other values (238) 4902
69.3%
ASCII
ValueCountFrequency (%)
74
39.4%
, 52
27.7%
A 8
 
4.3%
O 5
 
2.7%
K 4
 
2.1%
1 4
 
2.1%
I 4
 
2.1%
U 3
 
1.6%
R 3
 
1.6%
M 3
 
1.6%
Other values (18) 28
 
14.9%

주소
Text

Distinct2306
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size18.2 KiB
2024-04-21T10:09:40.433270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length57
Mean length35.144156
Min length14

Characters and Unicode

Total characters81183
Distinct characters591
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2302 ?
Unique (%)99.7%

Sample

1st row서울특별시 강남구 삼성로95길 27 (삼성동)
2nd row경기도 시흥시 희망공원로 92 (정왕동) 자동화사업부
3rd row전라북도 전주시 덕진구 유상로 67 (팔복동2가)
4th row서울특별시 종로구 창경궁로 254 (명륜2가) 한성대학교 에듀센터 704호
5th row경기도 성남시 분당구 대왕판교로645번길 16 (삼평동)
ValueCountFrequency (%)
서울특별시 646
 
4.2%
경기도 533
 
3.4%
경상남도 199
 
1.3%
금천구 183
 
1.2%
부산광역시 165
 
1.1%
대구광역시 145
 
0.9%
창원시 124
 
0.8%
가산동 119
 
0.8%
인천광역시 104
 
0.7%
강남구 93
 
0.6%
Other values (5356) 13183
85.1%
2024-04-21T10:09:40.826164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13304
 
16.4%
1 3176
 
3.9%
동 2860
 
3.5%
시 2420
 
3.0%
로 2323
 
2.9%
구 2243
 
2.8%
( 2234
 
2.8%
) 2232
 
2.7%
2 1977
 
2.4%
0 1812
 
2.2%
Other values (581) 46602
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47033
57.9%
Decimal Number 14232
 
17.5%
Space Separator 13304
 
16.4%
Open Punctuation 2234
 
2.8%
Close Punctuation 2232
 
2.7%
Other Punctuation 794
 
1.0%
Uppercase Letter 752
 
0.9%
Dash Punctuation 485
 
0.6%
Lowercase Letter 79
 
0.1%
Math Symbol 35
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2860
 
6.1%
시 2420
 
5.1%
로 2323
 
4.9%
구 2243
 
4.8%
호 1400
 
3.0%
산 1308
 
2.8%
서 1137
 
2.4%
도 1128
 
2.4%
경 937
 
2.0%
길 924
 
2.0%
Other values (516) 30353
64.5%
Uppercase Letter
ValueCountFrequency (%)
B 121
16.1%
A 103
13.7%
S 74
9.8%
T 61
8.1%
I 60
 
8.0%
K 51
 
6.8%
C 49
 
6.5%
D 31
 
4.1%
E 28
 
3.7%
F 24
 
3.2%
Other values (15) 150
19.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
20.3%
t 10
12.7%
k 9
11.4%
r 8
10.1%
n 7
8.9%
s 5
 
6.3%
i 5
 
6.3%
w 4
 
5.1%
o 4
 
5.1%
y 3
 
3.8%
Other values (4) 8
10.1%
Decimal Number
ValueCountFrequency (%)
1 3176
22.3%
2 1977
13.9%
0 1812
12.7%
3 1573
11.1%
4 1177
 
8.3%
5 1149
 
8.1%
6 1012
 
7.1%
7 887
 
6.2%
8 748
 
5.3%
9 721
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 760
95.7%
& 12
 
1.5%
/ 12
 
1.5%
. 6
 
0.8%
· 3
 
0.4%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 32
91.4%
∼ 2
 
5.7%
+ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
13304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 485
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47033
57.9%
Common 33317
41.0%
Latin 832
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2860
 
6.1%
시 2420
 
5.1%
로 2323
 
4.9%
구 2243
 
4.8%
호 1400
 
3.0%
산 1308
 
2.8%
서 1137
 
2.4%
도 1128
 
2.4%
경 937
 
2.0%
길 924
 
2.0%
Other values (516) 30353
64.5%
Latin
ValueCountFrequency (%)
B 121
14.5%
A 103
12.4%
S 74
 
8.9%
T 61
 
7.3%
I 60
 
7.2%
K 51
 
6.1%
C 49
 
5.9%
D 31
 
3.7%
E 28
 
3.4%
F 24
 
2.9%
Other values (30) 230
27.6%
Common
ValueCountFrequency (%)
13304
39.9%
1 3176
 
9.5%
( 2234
 
6.7%
) 2232
 
6.7%
2 1977
 
5.9%
0 1812
 
5.4%
3 1573
 
4.7%
4 1177
 
3.5%
5 1149
 
3.4%
6 1012
 
3.0%
Other values (14) 3671
 
11.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47029
57.9%
ASCII 34143
42.1%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Math Operators 2
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13304
39.0%
1 3176
 
9.3%
( 2234
 
6.5%
) 2232
 
6.5%
2 1977
 
5.8%
0 1812
 
5.3%
3 1573
 
4.6%
4 1177
 
3.4%
5 1149
 
3.4%
6 1012
 
3.0%
Other values (51) 4497
 
13.2%
Hangul
ValueCountFrequency (%)
동 2860
 
6.1%
시 2420
 
5.1%
로 2323
 
4.9%
구 2243
 
4.8%
호 1400
 
3.0%
산 1308
 
2.8%
서 1137
 
2.4%
도 1128
 
2.4%
경 937
 
2.0%
길 924
 
2.0%
Other values (513) 30349
64.5%
None
ValueCountFrequency (%)
· 3
75.0%
㈜ 1
 
25.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅇ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

담당자
Text

Distinct2168
Distinct (%)93.9%
Missing1
Missing (%)< 0.1%
Memory size18.2 KiB
2024-04-21T10:09:41.161114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.0004331
Min length2

Characters and Unicode

Total characters6928
Distinct characters236
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

Unique2039 ?
Unique (%)88.3%

Sample

1st row김경욱
2nd row김형규
3rd row장수영
4th row홍영구
5th row김봉수
ValueCountFrequency (%)
김현수 3
 
0.1%
윤진현 3
 
0.1%
강민관 3
 
0.1%
정태영 3
 
0.1%
김민규 3
 
0.1%
박재훈 3
 
0.1%
이종화 3
 
0.1%
김도영 3
 
0.1%
김현진 3
 
0.1%
이상현 3
 
0.1%
Other values (2159) 2283
98.7%
2024-04-21T10:09:41.572843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 452
 
6.5%
이 356
 
5.1%
정 240
 
3.5%
영 184
 
2.7%
박 181
 
2.6%
현 157
 
2.3%
진 145
 
2.1%
성 140
 
2.0%
수 133
 
1.9%
민 130
 
1.9%
Other values (226) 4810
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6913
99.8%
Space Separator 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 452
 
6.5%
이 356
 
5.1%
정 240
 
3.5%
영 184
 
2.7%
박 181
 
2.6%
현 157
 
2.3%
진 145
 
2.1%
성 140
 
2.0%
수 133
 
1.9%
민 130
 
1.9%
Other values (225) 4795
69.4%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6913
99.8%
Common 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 452
 
6.5%
이 356
 
5.1%
정 240
 
3.5%
영 184
 
2.7%
박 181
 
2.6%
현 157
 
2.3%
진 145
 
2.1%
성 140
 
2.0%
수 133
 
1.9%
민 130
 
1.9%
Other values (225) 4795
69.4%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6913
99.8%
ASCII 15
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 452
 
6.5%
이 356
 
5.1%
정 240
 
3.5%
영 184
 
2.7%
박 181
 
2.6%
현 157
 
2.3%
진 145
 
2.1%
성 140
 
2.0%
수 133
 
1.9%
민 130
 
1.9%
Other values (225) 4795
69.4%
ASCII
ValueCountFrequency (%)
15
100.0%

담당자연락처
Text

Distinct2214
Distinct (%)95.9%
Missing2
Missing (%)0.1%
Memory size18.2 KiB
2024-04-21T10:09:41.774046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.037262
Min length3

Characters and Unicode

Total characters27782
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2182 ?
Unique (%)94.5%

Sample

1st row070-8650-3600
2nd row031-362-8081
3rd row063-219-0375
4th row070-8957-4606
5th row031-703-9101
ValueCountFrequency (%)
010 63
 
2.7%
061-278-3675 3
 
0.1%
070-7788-8661 2
 
0.1%
070-4102-2580 2
 
0.1%
052-258-7071 2
 
0.1%
02-784-5731 2
 
0.1%
055-283-0185 2
 
0.1%
031-712-8315 2
 
0.1%
070-8861-4796 2
 
0.1%
02-1661-0619 2
 
0.1%
Other values (2204) 2226
96.4%
2024-04-21T10:09:42.116966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4753
17.1%
- 4549
16.4%
2 2654
9.6%
5 2460
8.9%
1 2335
8.4%
3 2258
8.1%
7 2019
7.3%
6 1719
 
6.2%
4 1694
 
6.1%
8 1527
 
5.5%
Other values (5) 1814
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22719
81.8%
Dash Punctuation 4549
 
16.4%
Other Punctuation 512
 
1.8%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4753
20.9%
2 2654
11.7%
5 2460
10.8%
1 2335
10.3%
3 2258
9.9%
7 2019
8.9%
6 1719
 
7.6%
4 1694
 
7.5%
8 1527
 
6.7%
9 1300
 
5.7%
Other Punctuation
ValueCountFrequency (%)
* 511
99.8%
. 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 4549
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27781
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4753
17.1%
- 4549
16.4%
2 2654
9.6%
5 2460
8.9%
1 2335
8.4%
3 2258
8.1%
7 2019
7.3%
6 1719
 
6.2%
4 1694
 
6.1%
8 1527
 
5.5%
Other values (4) 1813
 
6.5%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4753
17.1%
- 4549
16.4%
2 2654
9.6%
5 2460
8.9%
1 2335
8.4%
3 2258
8.1%
7 2019
7.3%
6 1719
 
6.2%
4 1694
 
6.1%
8 1527
 
5.5%
Other values (5) 1814
 
6.5%

Interactions

2024-04-21T10:09:38.302217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T10:09:38.404458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:09:38.498319image/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.
2024-04-21T10:09:38.587557image/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

부여번호기업명대표자명주소담당자담당자연락처
010099000피플앤드테크놀로지임진순서울특별시 강남구 삼성로95길 27 (삼성동)김경욱070-8650-3600
110002624이성(주)성현모경기도 시흥시 희망공원로 92 (정왕동) 자동화사업부김형규031-362-8081
210083457(사)캠틱종합기술원노상흡전라북도 전주시 덕진구 유상로 67 (팔복동2가)장수영063-219-0375
310096360(사)케이에스콘컨설팅지원단박남규서울특별시 종로구 창경궁로 254 (명륜2가) 한성대학교 에듀센터 704호홍영구070-8957-4606
410100827(사)한국인공지능제조이니셔티브차상균경기도 성남시 분당구 대왕판교로645번길 16 (삼평동)김봉수031-703-9101
510067416(유)금화이엔에스서해근전라남도 담양군 대전면 응기길 34-9 (유)금화이엔에스전혁준061-381-3516
610230569(유)삼성물산앤텍심춘식광주광역시 광산구 무진대로 68 (소촌동) 2층윤천밀010-****-****
710078827(유)에이블에스티에이이경석전라북도 전주시 완산구 홍산로 269, 3F-321 (효자동2가) 아데나빌딩이경석050-5606-4004
810085331(유)인터테크신동옥전라남도 목포시 석현로 46 (석현동) 문화산업지원센터 204호손민우061-287-0046
910079965(유)인텔리팅스최동준경기도 광주시 고불로 450, 3층(삼동)이재형031-797-9731
부여번호기업명대표자명주소담당자담당자연락처
230010089376헤리트한미숙경기도 성남시 분당구 대왕판교로 660 (삼평동) A동 1008호송하나031-606-7157
230110085103헬로우피플반승윤충청남도 천안시 서북구 백석공단1로 10 (백석동)A동 808호김세호041-417-7005
230210102216현대오토에버서정식서울특별시 강남구 테헤란로 510(대치동) 루첸타워이수한02-6296-6369
230310105715현대정보시스템김세남경기도 양주시 광적면 부흥로 862 공구상가 2동 15호 2동 15호김민섭031-836-5168
230410098324화담 소프트김기만충청남도 아산시 남부로 353 (풍기동, 동일하이빌아파트), 113동 1504호김기만041-545-4767
230510064103화인정보기술(주)이상헌부산광역시 부산진구 거제대로 86(양정동) 셀렉스빌딩 7층이재우051-553-2841
230610007074효원기계(주)이윤우경기 광주시 직동 61-18임화순031-799-1100
230710105273효원테크정평훈경상남도 창원시 성산구 중앙대로 37(중앙동) 216호(중앙동 경남오피스텔)이시훈055-601-8088
230810106888효원텍 주식회사서준호충청북도 옥천군 옥천읍 테크노밸리로2길 24서준호043-732-6807
230910064817휴먼시스템진정창충청북도 청주시 청원구 오창읍 양청4길 45, B동 426호이상아043-277-8822