Overview

Dataset statistics

Number of variables4
Number of observations254
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Text3

Dataset

Description문경시 기업체정보 및 연락처 현황(문경시 기업체명, 생산품목, 주소) 데이터가 있습니다. 참고하시기 바랍니다.
Author경상북도 문경시
URLhttps://www.data.go.kr/data/3036320/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:26:20.268971
Analysis finished2023-12-12 17:26:21.673466
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.5
Minimum1
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T02:26:21.793245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.65
Q164.25
median127.5
Q3190.75
95-th percentile241.35
Maximum254
Range253
Interquartile range (IQR)126.5

Descriptive statistics

Standard deviation73.46768
Coefficient of variation (CV)0.5762171
Kurtosis-1.2
Mean127.5
Median Absolute Deviation (MAD)63.5
Skewness0
Sum32385
Variance5397.5
MonotonicityStrictly increasing
2023-12-13T02:26:22.007870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
176 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
Other values (244) 244
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
Distinct249
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T02:26:22.360964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.2007874
Min length2

Characters and Unicode

Total characters1829
Distinct characters275
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

Unique245 ?
Unique (%)96.5%

Sample

1st row(주)KEC
2nd row(주)가나다라브루어리
3rd row(주)경안
4th row(주)나노필름
5th row(주)남북
ValueCountFrequency (%)
주식회사 11
 
3.8%
농업회사법인 9
 
3.1%
경북산업(주 3
 
1.0%
싱그람 2
 
0.7%
문경 2
 
0.7%
영농조합법인 2
 
0.7%
㈜아누리 2
 
0.7%
주)럭스코 2
 
0.7%
에프엔디큐웰(주 2
 
0.7%
에프엔지(주 1
 
0.3%
Other values (253) 253
87.5%
2023-12-13T02:26:22.878400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
7.6%
( 122
 
6.7%
) 122
 
6.7%
48
 
2.6%
41
 
2.2%
40
 
2.2%
36
 
2.0%
34
 
1.9%
33
 
1.8%
31
 
1.7%
Other values (265) 1183
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1516
82.9%
Open Punctuation 122
 
6.7%
Close Punctuation 122
 
6.7%
Space Separator 40
 
2.2%
Uppercase Letter 14
 
0.8%
Decimal Number 8
 
0.4%
Other Symbol 5
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
139
 
9.2%
48
 
3.2%
41
 
2.7%
36
 
2.4%
34
 
2.2%
33
 
2.2%
31
 
2.0%
31
 
2.0%
29
 
1.9%
26
 
1.7%
Other values (245) 1068
70.4%
Uppercase Letter
ValueCountFrequency (%)
M 2
14.3%
H 2
14.3%
K 2
14.3%
A 1
7.1%
D 1
7.1%
E 1
7.1%
R 1
7.1%
C 1
7.1%
T 1
7.1%
G 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 2
25.0%
4 1
 
12.5%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1521
83.2%
Common 294
 
16.1%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
139
 
9.1%
48
 
3.2%
41
 
2.7%
36
 
2.4%
34
 
2.2%
33
 
2.2%
31
 
2.0%
31
 
2.0%
29
 
1.9%
26
 
1.7%
Other values (246) 1073
70.5%
Latin
ValueCountFrequency (%)
M 2
14.3%
H 2
14.3%
K 2
14.3%
A 1
7.1%
D 1
7.1%
E 1
7.1%
R 1
7.1%
C 1
7.1%
T 1
7.1%
G 1
7.1%
Common
ValueCountFrequency (%)
( 122
41.5%
) 122
41.5%
40
 
13.6%
2 4
 
1.4%
- 2
 
0.7%
1 2
 
0.7%
4 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1516
82.9%
ASCII 308
 
16.8%
None 5
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
139
 
9.2%
48
 
3.2%
41
 
2.7%
36
 
2.4%
34
 
2.2%
33
 
2.2%
31
 
2.0%
31
 
2.0%
29
 
1.9%
26
 
1.7%
Other values (245) 1068
70.4%
ASCII
ValueCountFrequency (%)
( 122
39.6%
) 122
39.6%
40
 
13.0%
2 4
 
1.3%
- 2
 
0.6%
M 2
 
0.6%
H 2
 
0.6%
K 2
 
0.6%
1 2
 
0.6%
A 1
 
0.3%
Other values (9) 9
 
2.9%
None
ValueCountFrequency (%)
5
100.0%
Distinct226
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T02:26:23.236602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length9.5669291
Min length1

Characters and Unicode

Total characters2430
Distinct characters380
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)84.6%

Sample

1st row조립식 건축 및 토목용 콘크리트제품
2nd row맥주
3rd row폴리에틸렌 이중벽하수관
4th row각종 필름
5th row드릴머신
ValueCountFrequency (%)
26
 
5.3%
10
 
2.0%
7
 
1.4%
도자기 7
 
1.4%
레미콘 5
 
1.0%
연탄 4
 
0.8%
탁주 4
 
0.8%
플라스틱 4
 
0.8%
오미자 4
 
0.8%
아스콘 3
 
0.6%
Other values (376) 417
84.9%
2023-12-13T02:26:23.872790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
10.4%
, 161
 
6.6%
69
 
2.8%
40
 
1.6%
39
 
1.6%
36
 
1.5%
34
 
1.4%
31
 
1.3%
30
 
1.2%
29
 
1.2%
Other values (370) 1709
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1874
77.1%
Space Separator 252
 
10.4%
Other Punctuation 168
 
6.9%
Uppercase Letter 69
 
2.8%
Lowercase Letter 23
 
0.9%
Open Punctuation 14
 
0.6%
Close Punctuation 14
 
0.6%
Decimal Number 14
 
0.6%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
69
 
3.7%
40
 
2.1%
39
 
2.1%
36
 
1.9%
34
 
1.8%
31
 
1.7%
30
 
1.6%
29
 
1.5%
28
 
1.5%
26
 
1.4%
Other values (326) 1512
80.7%
Uppercase Letter
ValueCountFrequency (%)
P 10
14.5%
C 9
13.0%
M 9
13.0%
E 6
8.7%
A 6
8.7%
L 6
8.7%
S 4
 
5.8%
D 3
 
4.3%
F 3
 
4.3%
H 2
 
2.9%
Other values (7) 11
15.9%
Lowercase Letter
ValueCountFrequency (%)
p 4
17.4%
c 4
17.4%
o 3
13.0%
r 3
13.0%
m 2
8.7%
s 2
8.7%
y 1
 
4.3%
e 1
 
4.3%
a 1
 
4.3%
h 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 4
28.6%
6 3
21.4%
8 2
14.3%
5 2
14.3%
4 1
 
7.1%
1 1
 
7.1%
2 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 161
95.8%
· 2
 
1.2%
: 2
 
1.2%
. 2
 
1.2%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1874
77.1%
Common 464
 
19.1%
Latin 92
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
69
 
3.7%
40
 
2.1%
39
 
2.1%
36
 
1.9%
34
 
1.8%
31
 
1.7%
30
 
1.6%
29
 
1.5%
28
 
1.5%
26
 
1.4%
Other values (326) 1512
80.7%
Latin
ValueCountFrequency (%)
P 10
 
10.9%
C 9
 
9.8%
M 9
 
9.8%
E 6
 
6.5%
A 6
 
6.5%
L 6
 
6.5%
p 4
 
4.3%
c 4
 
4.3%
S 4
 
4.3%
D 3
 
3.3%
Other values (18) 31
33.7%
Common
ValueCountFrequency (%)
252
54.3%
, 161
34.7%
( 14
 
3.0%
) 14
 
3.0%
0 4
 
0.9%
6 3
 
0.6%
- 2
 
0.4%
· 2
 
0.4%
: 2
 
0.4%
8 2
 
0.4%
Other values (6) 8
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1874
77.1%
ASCII 554
 
22.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
45.5%
, 161
29.1%
( 14
 
2.5%
) 14
 
2.5%
P 10
 
1.8%
C 9
 
1.6%
M 9
 
1.6%
E 6
 
1.1%
A 6
 
1.1%
L 6
 
1.1%
Other values (33) 67
 
12.1%
Hangul
ValueCountFrequency (%)
69
 
3.7%
40
 
2.1%
39
 
2.1%
36
 
1.9%
34
 
1.8%
31
 
1.7%
30
 
1.6%
29
 
1.5%
28
 
1.5%
26
 
1.4%
Other values (326) 1512
80.7%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct233
Distinct (%)92.1%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-12-13T02:26:24.296273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length25.774704
Min length19

Characters and Unicode

Total characters6521
Distinct characters224
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)85.4%

Sample

1st row경상북도 문경시 신기공단1길 62 (신기동)
2nd row경상북도 문경시 문경대로 625-1 (유곡동)
3rd row경상북도 문경시 가은읍 가은공단길 45
4th row경상북도 문경시 신기공단1길 26 (신기동)
5th row경상북도 문경시 산양면 산양공단1길 8-5 ((주)남북)
ValueCountFrequency (%)
경상북도 253
 
17.4%
문경시 252
 
17.4%
산양면 48
 
3.3%
마성면 41
 
2.8%
신기동 35
 
2.4%
가은읍 32
 
2.2%
필지 32
 
2.2%
32
 
2.2%
영순면 28
 
1.9%
2 27
 
1.9%
Other values (374) 670
46.2%
2023-12-13T02:26:24.912045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1200
18.4%
528
 
8.1%
271
 
4.2%
261
 
4.0%
258
 
4.0%
257
 
3.9%
255
 
3.9%
1 217
 
3.3%
2 163
 
2.5%
( 161
 
2.5%
Other values (214) 2950
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4032
61.8%
Space Separator 1200
 
18.4%
Decimal Number 863
 
13.2%
Open Punctuation 161
 
2.5%
Close Punctuation 160
 
2.5%
Dash Punctuation 80
 
1.2%
Other Punctuation 19
 
0.3%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
528
 
13.1%
271
 
6.7%
261
 
6.5%
258
 
6.4%
257
 
6.4%
255
 
6.3%
156
 
3.9%
143
 
3.5%
106
 
2.6%
97
 
2.4%
Other values (192) 1700
42.2%
Decimal Number
ValueCountFrequency (%)
1 217
25.1%
2 163
18.9%
3 79
 
9.2%
5 69
 
8.0%
4 67
 
7.8%
0 66
 
7.6%
6 61
 
7.1%
7 54
 
6.3%
9 47
 
5.4%
8 40
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
N 1
16.7%
G 1
16.7%
E 1
16.7%
S 1
16.7%
M 1
16.7%
I 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 17
89.5%
/ 2
 
10.5%
Space Separator
ValueCountFrequency (%)
1200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4032
61.8%
Common 2483
38.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
528
 
13.1%
271
 
6.7%
261
 
6.5%
258
 
6.4%
257
 
6.4%
255
 
6.3%
156
 
3.9%
143
 
3.5%
106
 
2.6%
97
 
2.4%
Other values (192) 1700
42.2%
Common
ValueCountFrequency (%)
1200
48.3%
1 217
 
8.7%
2 163
 
6.6%
( 161
 
6.5%
) 160
 
6.4%
- 80
 
3.2%
3 79
 
3.2%
5 69
 
2.8%
4 67
 
2.7%
0 66
 
2.7%
Other values (6) 221
 
8.9%
Latin
ValueCountFrequency (%)
N 1
16.7%
G 1
16.7%
E 1
16.7%
S 1
16.7%
M 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4032
61.8%
ASCII 2489
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1200
48.2%
1 217
 
8.7%
2 163
 
6.5%
( 161
 
6.5%
) 160
 
6.4%
- 80
 
3.2%
3 79
 
3.2%
5 69
 
2.8%
4 67
 
2.7%
0 66
 
2.7%
Other values (12) 227
 
9.1%
Hangul
ValueCountFrequency (%)
528
 
13.1%
271
 
6.7%
261
 
6.5%
258
 
6.4%
257
 
6.4%
255
 
6.3%
156
 
3.9%
143
 
3.5%
106
 
2.6%
97
 
2.4%
Other values (192) 1700
42.2%

Interactions

2023-12-13T02:26:21.296617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:26:21.474175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:26:21.620296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번회사명생산품공장대표주소
01(주)KEC조립식 건축 및 토목용 콘크리트제품경상북도 문경시 신기공단1길 62 (신기동)
12(주)가나다라브루어리맥주경상북도 문경시 문경대로 625-1 (유곡동)
23(주)경안폴리에틸렌 이중벽하수관경상북도 문경시 가은읍 가은공단길 45
34(주)나노필름각종 필름경상북도 문경시 신기공단1길 26 (신기동)
45(주)남북드릴머신경상북도 문경시 산양면 산양공단1길 8-5 ((주)남북)
56(주)네츄럴푸드코리아오미자 유산균 분말경상북도 문경시 호계면 대학길 161, 문경대학교 산학협력단 창업보육센터 318호
67(주)늘품플라스틱 포장 용기(일회용 도시락 등)경상북도 문경시 영순면 새갓길 20-20
78(주)다온직물제품, 섬유제품, 천막, 캔버스, 파이프 등경상북도 문경시 영순면 의곡리 1289-1번지
89(주)다원코리아유량계,자동제어반,프로세스제어반,여과기,약품투입기,탈수 및 배수장취,탈취기경상북도 문경시 산양면 산양공단2길 10
910(주)대경산업PE이중하수관,PE수도관및이음관경상북도 문경시 마성면 마성공단길 136
순번회사명생산품공장대표주소
244245현대면업사명주솜경상북도 문경시 영순면 영순로 29-17 (현대면업)
245246호진기계(주)트레드밀, 근력강화기, 운동시설물, 그네, 시소 등경상북도 문경시 신기산단1길 100 (신기동) (총 2 필지)
246247홍AD도자기, 조형물(간판 등)경상북도 문경시 가은읍 가은공단길 14
247248황백원도자기경상북도 문경시 마성면 신현리 506-1번지
248249휴먼텍황토·옥 찜질팩경상북도 문경시 호계면 대학길 161, 문경대학 창업보육센터 314호
249250흥덕식품물엿경상북도 문경시 주평5길 33 (신기동)
250251흥업정미소경상북도 문경시 영신영강길 36 (영신동)
251252코엘산업용케이블경상북도 문경시 신기산단 2길 61(신기동
252253㈜다온푸드농업회사법인두부경상북도 문경시 신기산단2길 42-35
253254넥스텍케미칼마스터배치경상북도 문경시 신기산단1길 62<NA>