Overview

Dataset statistics

Number of variables5
Number of observations121
Missing cells7
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory42.1 B

Variable types

Numeric1
Text4

Dataset

Description산청군의 관내 제조업체(농공단지 등) 등록현황(회사명, 업체주소, 전화번호, 업종명) 공공데이터 자료입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15048873

Alerts

전화번호 has 7 (5.8%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique
공장대표주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:18:33.918824
Analysis finished2023-12-11 00:18:34.621699
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T09:18:34.705572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q131
median61
Q391
95-th percentile115
Maximum121
Range120
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.073732
Coefficient of variation (CV)0.57497921
Kurtosis-1.2
Mean61
Median Absolute Deviation (MAD)30
Skewness0
Sum7381
Variance1230.1667
MonotonicityStrictly increasing
2023-12-11T09:18:34.859743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
92 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%

회사명
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T09:18:35.059977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length8.9421488
Min length3

Characters and Unicode

Total characters1082
Distinct characters227
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)100.0%

Sample

1st row(주)경산세라믹 산청지점
2nd row(주)극동이엔씨
3rd row(주)네오플러스
4th row(주)대명산청요
5th row(주)디럭스테크놀러지
ValueCountFrequency (%)
주식회사 13
 
8.6%
농업회사법인 4
 
2.6%
주)홍성 2
 
1.3%
주)율곡 2
 
1.3%
함양산청축산업협동조합 2
 
1.3%
평림 2
 
1.3%
엔앤씨 1
 
0.7%
메디메틱 1
 
0.7%
주식회사농업회사법인 1
 
0.7%
영남장제산업 1
 
0.7%
Other values (123) 123
80.9%
2023-12-11T09:18:35.416985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
6.2%
( 54
 
5.0%
) 54
 
5.0%
46
 
4.3%
34
 
3.1%
33
 
3.0%
31
 
2.9%
31
 
2.9%
31
 
2.9%
26
 
2.4%
Other values (217) 675
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
85.5%
Open Punctuation 54
 
5.0%
Close Punctuation 54
 
5.0%
Space Separator 31
 
2.9%
Decimal Number 9
 
0.8%
Uppercase Letter 7
 
0.6%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
67
 
7.2%
46
 
5.0%
34
 
3.7%
33
 
3.6%
31
 
3.4%
31
 
3.4%
26
 
2.8%
25
 
2.7%
24
 
2.6%
23
 
2.5%
Other values (204) 585
63.2%
Uppercase Letter
ValueCountFrequency (%)
R 2
28.6%
I 1
14.3%
M 1
14.3%
C 1
14.3%
G 1
14.3%
S 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%
3 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
85.5%
Common 150
 
13.9%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
67
 
7.2%
46
 
5.0%
34
 
3.7%
33
 
3.6%
31
 
3.4%
31
 
3.4%
26
 
2.8%
25
 
2.7%
24
 
2.6%
23
 
2.5%
Other values (204) 585
63.2%
Common
ValueCountFrequency (%)
( 54
36.0%
) 54
36.0%
31
20.7%
2 5
 
3.3%
1 3
 
2.0%
. 2
 
1.3%
3 1
 
0.7%
Latin
ValueCountFrequency (%)
R 2
28.6%
I 1
14.3%
M 1
14.3%
C 1
14.3%
G 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
85.5%
ASCII 157
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
67
 
7.2%
46
 
5.0%
34
 
3.7%
33
 
3.6%
31
 
3.4%
31
 
3.4%
26
 
2.8%
25
 
2.7%
24
 
2.6%
23
 
2.5%
Other values (204) 585
63.2%
ASCII
ValueCountFrequency (%)
( 54
34.4%
) 54
34.4%
31
19.7%
2 5
 
3.2%
1 3
 
1.9%
R 2
 
1.3%
. 2
 
1.3%
I 1
 
0.6%
M 1
 
0.6%
C 1
 
0.6%
Other values (3) 3
 
1.9%

공장대표주소
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T09:18:35.734863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length23.719008
Min length19

Characters and Unicode

Total characters2870
Distinct characters91
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

Unique121 ?
Unique (%)100.0%

Sample

1st row경상남도 산청군 금서면 동의보감로 167
2nd row경상남도 산청군 산청읍 산수로 116-31
3rd row경상남도 산청군 생비량면 지리산대로 4243
4th row경상남도 산청군 신안면 원지로122번길 40-9
5th row경상남도 산청군 산청읍 산수로 116-19
ValueCountFrequency (%)
경상남도 121
20.0%
산청군 121
20.0%
금서면 35
 
5.8%
친환경로 25
 
4.1%
산청읍 18
 
3.0%
단성면 15
 
2.5%
산수로 10
 
1.7%
신안면 10
 
1.7%
지리산대로 9
 
1.5%
생초면 9
 
1.5%
Other values (183) 232
38.3%
2023-12-11T09:18:36.387411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
488
17.0%
173
 
6.0%
159
 
5.5%
140
 
4.9%
123
 
4.3%
122
 
4.3%
121
 
4.2%
121
 
4.2%
1 109
 
3.8%
106
 
3.7%
Other values (81) 1208
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1747
60.9%
Decimal Number 577
 
20.1%
Space Separator 488
 
17.0%
Dash Punctuation 58
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
173
 
9.9%
159
 
9.1%
140
 
8.0%
123
 
7.0%
122
 
7.0%
121
 
6.9%
121
 
6.9%
106
 
6.1%
103
 
5.9%
43
 
2.5%
Other values (69) 536
30.7%
Decimal Number
ValueCountFrequency (%)
1 109
18.9%
2 100
17.3%
4 72
12.5%
3 65
11.3%
6 55
9.5%
5 46
8.0%
0 37
 
6.4%
8 36
 
6.2%
7 34
 
5.9%
9 23
 
4.0%
Space Separator
ValueCountFrequency (%)
488
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1747
60.9%
Common 1123
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
173
 
9.9%
159
 
9.1%
140
 
8.0%
123
 
7.0%
122
 
7.0%
121
 
6.9%
121
 
6.9%
106
 
6.1%
103
 
5.9%
43
 
2.5%
Other values (69) 536
30.7%
Common
ValueCountFrequency (%)
488
43.5%
1 109
 
9.7%
2 100
 
8.9%
4 72
 
6.4%
3 65
 
5.8%
- 58
 
5.2%
6 55
 
4.9%
5 46
 
4.1%
0 37
 
3.3%
8 36
 
3.2%
Other values (2) 57
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1747
60.9%
ASCII 1123
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
488
43.5%
1 109
 
9.7%
2 100
 
8.9%
4 72
 
6.4%
3 65
 
5.8%
- 58
 
5.2%
6 55
 
4.9%
5 46
 
4.1%
0 37
 
3.3%
8 36
 
3.2%
Other values (2) 57
 
5.1%
Hangul
ValueCountFrequency (%)
173
 
9.9%
159
 
9.1%
140
 
8.0%
123
 
7.0%
122
 
7.0%
121
 
6.9%
121
 
6.9%
106
 
6.1%
103
 
5.9%
43
 
2.5%
Other values (69) 536
30.7%

전화번호
Text

MISSING 

Distinct107
Distinct (%)93.9%
Missing7
Missing (%)5.8%
Memory size1.1 KiB
2023-12-11T09:18:36.693008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008772
Min length12

Characters and Unicode

Total characters1369
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

Unique101 ?
Unique (%)88.6%

Sample

1st row055-586-0400
2nd row055-972-1920
3rd row055-973-8558
4th row055-973-5476
5th row055-758-9300
ValueCountFrequency (%)
055-974-1031 3
 
2.6%
055-972-4700 2
 
1.8%
055-275-2911 2
 
1.8%
055-972-2013 2
 
1.8%
055-973-7769 2
 
1.8%
055-974-7119 2
 
1.8%
055-973-1872 1
 
0.9%
055-972-9215 1
 
0.9%
055-972-6077 1
 
0.9%
055-973-6887 1
 
0.9%
Other values (97) 97
85.1%
2023-12-11T09:18:37.086979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 272
19.9%
- 228
16.7%
0 204
14.9%
7 158
11.5%
9 143
10.4%
3 84
 
6.1%
2 78
 
5.7%
1 68
 
5.0%
4 53
 
3.9%
8 49
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1141
83.3%
Dash Punctuation 228
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 272
23.8%
0 204
17.9%
7 158
13.8%
9 143
12.5%
3 84
 
7.4%
2 78
 
6.8%
1 68
 
6.0%
4 53
 
4.6%
8 49
 
4.3%
6 32
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1369
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 272
19.9%
- 228
16.7%
0 204
14.9%
7 158
11.5%
9 143
10.4%
3 84
 
6.1%
2 78
 
5.7%
1 68
 
5.0%
4 53
 
3.9%
8 49
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 272
19.9%
- 228
16.7%
0 204
14.9%
7 158
11.5%
9 143
10.4%
3 84
 
6.1%
2 78
 
5.7%
1 68
 
5.0%
4 53
 
3.9%
8 49
 
3.6%
Distinct78
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T09:18:37.449136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length15.413223
Min length6

Characters and Unicode

Total characters1865
Distinct characters172
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)48.8%

Sample

1st row타일 및 유사 비내화 요업제품 제조업
2nd row배전반 및 전기 자동제어반 제조업
3rd row직물포대 제조업
4th row가정용 및 장식용 도자기 제조업
5th row낚시 및 수렵용구 제조업
ValueCountFrequency (%)
제조업 98
 
16.5%
47
 
7.9%
44
 
7.4%
38
 
6.4%
기타 36
 
6.1%
1 25
 
4.2%
가공 10
 
1.7%
요업제품 8
 
1.3%
비내화 7
 
1.2%
가정용 7
 
1.2%
Other values (146) 274
46.1%
2023-12-11T09:18:37.979159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
473
25.4%
131
 
7.0%
126
 
6.8%
108
 
5.8%
59
 
3.2%
47
 
2.5%
46
 
2.5%
39
 
2.1%
38
 
2.0%
36
 
1.9%
Other values (162) 762
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1342
72.0%
Space Separator 473
 
25.4%
Decimal Number 40
 
2.1%
Other Punctuation 6
 
0.3%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
131
 
9.8%
126
 
9.4%
108
 
8.0%
59
 
4.4%
47
 
3.5%
46
 
3.4%
39
 
2.9%
38
 
2.8%
36
 
2.7%
34
 
2.5%
Other values (152) 678
50.5%
Decimal Number
ValueCountFrequency (%)
1 27
67.5%
3 4
 
10.0%
2 4
 
10.0%
4 3
 
7.5%
8 1
 
2.5%
7 1
 
2.5%
Space Separator
ValueCountFrequency (%)
473
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1342
72.0%
Common 523
 
28.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
131
 
9.8%
126
 
9.4%
108
 
8.0%
59
 
4.4%
47
 
3.5%
46
 
3.4%
39
 
2.9%
38
 
2.8%
36
 
2.7%
34
 
2.5%
Other values (152) 678
50.5%
Common
ValueCountFrequency (%)
473
90.4%
1 27
 
5.2%
, 6
 
1.1%
3 4
 
0.8%
2 4
 
0.8%
4 3
 
0.6%
( 2
 
0.4%
) 2
 
0.4%
8 1
 
0.2%
7 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1337
71.7%
ASCII 523
 
28.0%
Compat Jamo 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
473
90.4%
1 27
 
5.2%
, 6
 
1.1%
3 4
 
0.8%
2 4
 
0.8%
4 3
 
0.6%
( 2
 
0.4%
) 2
 
0.4%
8 1
 
0.2%
7 1
 
0.2%
Hangul
ValueCountFrequency (%)
131
 
9.8%
126
 
9.4%
108
 
8.1%
59
 
4.4%
47
 
3.5%
46
 
3.4%
39
 
2.9%
38
 
2.8%
36
 
2.7%
34
 
2.5%
Other values (151) 673
50.3%
Compat Jamo
ValueCountFrequency (%)
5
100.0%

Interactions

2023-12-11T09:18:34.315194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:18:38.104038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명
순번1.0000.684
업종명0.6841.000

Missing values

2023-12-11T09:18:34.461018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:18:34.577979image/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

순번회사명공장대표주소전화번호업종명
01(주)경산세라믹 산청지점경상남도 산청군 금서면 동의보감로 167<NA>타일 및 유사 비내화 요업제품 제조업
12(주)극동이엔씨경상남도 산청군 산청읍 산수로 116-31055-586-0400배전반 및 전기 자동제어반 제조업
23(주)네오플러스경상남도 산청군 생비량면 지리산대로 4243055-972-1920직물포대 제조업
34(주)대명산청요경상남도 산청군 신안면 원지로122번길 40-9055-973-8558가정용 및 장식용 도자기 제조업
45(주)디럭스테크놀러지경상남도 산청군 산청읍 산수로 116-19055-973-5476낚시 및 수렵용구 제조업
56(주)디에이치엠경상남도 산청군 금서면 매촌리 991번지055-758-9300고무패킹류 제조업 외 4 종
67(주)마루원경상남도 산청군 시천면 서촌길20번길 14-6055-974-9680기타 발효주 제조업
78(주)산청토기와경상남도 산청군 산청읍 산수로 404-150055-973-1100점토 벽돌, 블록 및 유사 비내화 요업제품 제조업 외 1 종
89(주)삼정비알경상남도 산청군 단성면 지리산대로3362번길 14-4055-974-0951정형 내화 요업제품 제조업 외 3 종
910(주)샘코경상남도 산청군 금서면 친환경로2451번길 38-11055-850-7700항공기용 부품 제조업
순번회사명공장대표주소전화번호업종명
111112한국GRC(주)경상남도 산청군 산청읍 산수로 116-55055-973-5675콘크리트 관 및 기타 구조용 콘크리트 제품 제조업
112113한국MIR경상남도 산청군 금서면 친환경로 2491-42055-973-8101고무패킹류 제조업 외 4 종
113114한국몰딩 주식회사경상남도 산청군 생초면 산수로1153번길 46-47055-972-0720타일 및 유사 비내화 요업제품 제조업
114115한국항공우주산업주식회사경상남도 산청군 금서면 친환경로 2436055-851-6178항공기용 부품 제조업
115116한솔식품경상남도 산청군 단성면 사월리 1440-2번지055-973-5303육류 기타 가공 및 저장처리업 (가금류 제외) 외 1 종
116117함양산청축산업협동조합경상남도 산청군 차황면 부암길 121055-974-0451복합비료 및 기타 화학비료 제조업 외 2 종
117118함양산청축산업협동조합 축분퇴비유통센터경상남도 산청군 산청읍 웅석봉로133번길 88055-973-4501복합비료 및 기타 화학비료 제조업 외 1 종
118119합자회사 혜성도기경상남도 산청군 금서면 친환경로 2462055-972-2013가정용 및 장식용 도자기 제조업
119120황매산황금들영농조합법인경상남도 산청군 차황면 신차로1989번길 21055-972-1399곡물 도정업
120121효성식품영농조합법인경상남도 산청군 금서면 친환경로2605번길 59055-973-8980기타 곡물 가공품 제조업 외 4 종