Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory87.7 B

Variable types

Text6
Numeric2
Categorical1
DateTime1

Dataset

Description구리시 지역내에 위치한 환경오염배출시설(대기배출업소)에 대한 현황정보(사업장명, 소재지, 경위도, 업종, 시설, 용량 등)
URLhttps://www.data.go.kr/data/15051001/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소명 has unique valuesUnique
배출 및 방지시설 용량 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:49:50.524845
Analysis finished2023-12-12 06:49:51.663343
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:49:51.806292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length10.521739
Min length4

Characters and Unicode

Total characters242
Distinct characters108
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row성신레미컨㈜
2nd row제일 현대자동차공업사
3rd row르노삼성자동차 지정정비센터구리정비㈜
4th row현대공업사
5th row교문자동차공업사
ValueCountFrequency (%)
롯데쇼핑㈜ 2
 
6.2%
구리점 2
 
6.2%
제일 1
 
3.1%
인창주공1단지입주자대표회 1
 
3.1%
국민은행 1
 
3.1%
세신인창종합상가관리단 1
 
3.1%
스타로드일반사모부동산제10호투자회사 1
 
3.1%
안성-구리구간 1
 
3.1%
세종-포천고속도로 1
 
3.1%
현대건설㈜ 1
 
3.1%
Other values (20) 20
62.5%
2023-12-12T15:49:52.164011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 12
 
5.0%
구 11
 
4.5%
사 10
 
4.1%
공 9
 
3.7%
9
 
3.7%
자 8
 
3.3%
동 8
 
3.3%
업 7
 
2.9%
차 6
 
2.5%
대 6
 
2.5%
Other values (98) 156
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
87.6%
Space Separator 9
 
3.7%
Other Symbol 5
 
2.1%
Close Punctuation 5
 
2.1%
Open Punctuation 5
 
2.1%
Decimal Number 4
 
1.7%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 12
 
5.7%
구 11
 
5.2%
사 10
 
4.7%
공 9
 
4.2%
자 8
 
3.8%
동 8
 
3.8%
업 7
 
3.3%
차 6
 
2.8%
대 6
 
2.8%
주 5
 
2.4%
Other values (89) 130
61.3%
Close Punctuation
ValueCountFrequency (%)
) 4
80.0%
] 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 4
80.0%
[ 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
0 1
 
25.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
89.7%
Common 25
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 12
 
5.5%
구 11
 
5.1%
사 10
 
4.6%
공 9
 
4.1%
자 8
 
3.7%
동 8
 
3.7%
업 7
 
3.2%
차 6
 
2.8%
대 6
 
2.8%
㈜ 5
 
2.3%
Other values (90) 135
62.2%
Common
ValueCountFrequency (%)
9
36.0%
) 4
16.0%
( 4
16.0%
1 3
 
12.0%
- 2
 
8.0%
[ 1
 
4.0%
] 1
 
4.0%
0 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
87.6%
ASCII 25
 
10.3%
None 5
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 12
 
5.7%
구 11
 
5.2%
사 10
 
4.7%
공 9
 
4.2%
자 8
 
3.8%
동 8
 
3.8%
업 7
 
3.3%
차 6
 
2.8%
대 6
 
2.8%
주 5
 
2.4%
Other values (89) 130
61.3%
ASCII
ValueCountFrequency (%)
9
36.0%
) 4
16.0%
( 4
16.0%
1 3
 
12.0%
- 2
 
8.0%
[ 1
 
4.0%
] 1
 
4.0%
0 1
 
4.0%
None
ValueCountFrequency (%)
㈜ 5
100.0%

소재지
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:49:52.430231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length20.26087
Min length15

Characters and Unicode

Total characters466
Distinct characters57
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

Unique21 ?
Unique (%)91.3%

Sample

1st row경기도 구리시 동구릉로 252
2nd row경기도 구리시 아차산로 375-2
3rd row경기도 구리시 아차산로506번길 21
4th row경기도 구리시 동구릉로200번길 34
5th row경기도 구리시 동구릉로200번길 18
ValueCountFrequency (%)
경기도 23
22.8%
구리시 23
22.8%
경춘로 6
 
5.9%
동구릉로136번길 3
 
3.0%
인창동 3
 
3.0%
90 2
 
2.0%
건원대로34번길 2
 
2.0%
동구릉로200번길 2
 
2.0%
34 2
 
2.0%
아차산로 2
 
2.0%
Other values (33) 33
32.7%
2023-12-12T15:49:52.848100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
17.8%
구 31
 
6.7%
경 30
 
6.4%
리 24
 
5.2%
도 23
 
4.9%
시 23
 
4.9%
기 23
 
4.9%
로 22
 
4.7%
2 16
 
3.4%
3 14
 
3.0%
Other values (47) 177
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
59.7%
Decimal Number 93
 
20.0%
Space Separator 83
 
17.8%
Close Punctuation 3
 
0.6%
Dash Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 31
11.2%
경 30
10.8%
리 24
 
8.6%
도 23
 
8.3%
시 23
 
8.3%
기 23
 
8.3%
로 22
 
7.9%
번 12
 
4.3%
동 11
 
4.0%
길 11
 
4.0%
Other values (30) 68
24.5%
Decimal Number
ValueCountFrequency (%)
2 16
17.2%
3 14
15.1%
0 11
11.8%
1 11
11.8%
4 10
10.8%
6 8
8.6%
9 7
7.5%
5 7
7.5%
7 5
 
5.4%
8 4
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
G 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
59.7%
Common 185
39.7%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 31
11.2%
경 30
10.8%
리 24
 
8.6%
도 23
 
8.3%
시 23
 
8.3%
기 23
 
8.3%
로 22
 
7.9%
번 12
 
4.3%
동 11
 
4.0%
길 11
 
4.0%
Other values (30) 68
24.5%
Common
ValueCountFrequency (%)
83
44.9%
2 16
 
8.6%
3 14
 
7.6%
0 11
 
5.9%
1 11
 
5.9%
4 10
 
5.4%
6 8
 
4.3%
9 7
 
3.8%
5 7
 
3.8%
7 5
 
2.7%
Other values (4) 13
 
7.0%
Latin
ValueCountFrequency (%)
V 1
33.3%
G 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
59.7%
ASCII 188
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
44.1%
2 16
 
8.5%
3 14
 
7.4%
0 11
 
5.9%
1 11
 
5.9%
4 10
 
5.3%
6 8
 
4.3%
9 7
 
3.7%
5 7
 
3.7%
7 5
 
2.7%
Other values (7) 16
 
8.5%
Hangul
ValueCountFrequency (%)
구 31
11.2%
경 30
10.8%
리 24
 
8.6%
도 23
 
8.3%
시 23
 
8.3%
기 23
 
8.3%
로 22
 
7.9%
번 12
 
4.3%
동 11
 
4.0%
길 11
 
4.0%
Other values (30) 68
24.5%

위도
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.60519
Minimum37.58106
Maximum37.63347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:49:53.037024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.58106
5-th percentile37.588876
Q137.600251
median37.602681
Q337.613237
95-th percentile37.620124
Maximum37.63347
Range0.0524103
Interquartile range (IQR)0.0129857

Descriptive statistics

Standard deviation0.011888595
Coefficient of variation (CV)0.00031614241
Kurtosis0.39358307
Mean37.60519
Median Absolute Deviation (MAD)0.0091454
Skewness0.18721189
Sum864.91936
Variance0.00014133869
MonotonicityNot monotonic
2023-12-12T15:49:53.195602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.6132366 2
 
8.7%
37.6203681 1
 
4.3%
37.6026812 1
 
4.3%
37.63347 1
 
4.3%
37.60918 1
 
4.3%
37.60178 1
 
4.3%
37.60483 1
 
4.3%
37.60207 1
 
4.3%
37.5810597 1
 
4.3%
37.6011613 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
37.5810597 1
4.3%
37.5888392 1
4.3%
37.5892045 1
4.3%
37.5907 1
4.3%
37.598673 1
4.3%
37.6002188 1
4.3%
37.600283 1
4.3%
37.6011613 1
4.3%
37.6015861 1
4.3%
37.60178 1
4.3%
ValueCountFrequency (%)
37.63347 1
4.3%
37.6203681 1
4.3%
37.6179237 1
4.3%
37.6169345 1
4.3%
37.6163408 1
4.3%
37.6132366 2
8.7%
37.6118266 1
4.3%
37.60918 1
4.3%
37.60483 1
4.3%
37.603757 1
4.3%

경도
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13902
Minimum127.11593
Maximum127.16069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:49:53.338336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11593
5-th percentile127.12871
Q1127.13287
median127.14015
Q3127.14292
95-th percentile127.15163
Maximum127.16069
Range0.0447621
Interquartile range (IQR)0.01005075

Descriptive statistics

Standard deviation0.0088686289
Coefficient of variation (CV)6.9755366 × 10-5
Kurtosis2.0464643
Mean127.13902
Median Absolute Deviation (MAD)0.0039142
Skewness-0.16698967
Sum2924.1975
Variance7.8652579 × 10-5
MonotonicityNot monotonic
2023-12-12T15:49:53.494036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.1448505 2
 
8.7%
127.1419742 1
 
4.3%
127.1437788 1
 
4.3%
127.11593 1
 
4.3%
127.13863 1
 
4.3%
127.14207 1
 
4.3%
127.14158 1
 
4.3%
127.14406 1
 
4.3%
127.1523797 1
 
4.3%
127.1323195 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
127.11593 1
4.3%
127.1285785 1
4.3%
127.1298744 1
4.3%
127.1305862 1
4.3%
127.1319623 1
4.3%
127.1323195 1
4.3%
127.1334278 1
4.3%
127.137537 1
4.3%
127.13863 1
4.3%
127.1390448 1
4.3%
ValueCountFrequency (%)
127.1606921 1
4.3%
127.1523797 1
4.3%
127.1448505 2
8.7%
127.14406 1
4.3%
127.1437788 1
4.3%
127.14207 1
4.3%
127.1419742 1
4.3%
127.1417845 1
4.3%
127.1416271 1
4.3%
127.14158 1
4.3%

업 종
Text

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:49:53.689425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.4782609
Min length2

Characters and Unicode

Total characters172
Distinct characters56
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

Unique9 ?
Unique (%)39.1%

Sample

1st row비금속
2nd row자동차정비
3rd row자동차정비
4th row자동차정비
5th row자동차정비
ValueCountFrequency (%)
자동차정비 8
16.0%
및 6
 
12.0%
기타 4
 
8.0%
서비스업 3
 
6.0%
그외 2
 
4.0%
백화점 2
 
4.0%
단체 2
 
4.0%
협회 2
 
4.0%
관련 2
 
4.0%
보험 2
 
4.0%
Other values (16) 17
34.0%
2023-12-12T15:49:54.053734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
15.7%
비 13
 
7.6%
차 9
 
5.2%
동 9
 
5.2%
자 8
 
4.7%
정 8
 
4.7%
업 7
 
4.1%
및 6
 
3.5%
타 4
 
2.3%
기 4
 
2.3%
Other values (46) 77
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
84.3%
Space Separator 27
 
15.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 13
 
9.0%
차 9
 
6.2%
동 9
 
6.2%
자 8
 
5.5%
정 8
 
5.5%
업 7
 
4.8%
및 6
 
4.1%
타 4
 
2.8%
기 4
 
2.8%
스 4
 
2.8%
Other values (45) 73
50.3%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145
84.3%
Common 27
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 13
 
9.0%
차 9
 
6.2%
동 9
 
6.2%
자 8
 
5.5%
정 8
 
5.5%
업 7
 
4.8%
및 6
 
4.1%
타 4
 
2.8%
기 4
 
2.8%
스 4
 
2.8%
Other values (45) 73
50.3%
Common
ValueCountFrequency (%)
27
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145
84.3%
ASCII 27
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
100.0%
Hangul
ValueCountFrequency (%)
비 13
 
9.0%
차 9
 
6.2%
동 9
 
6.2%
자 8
 
5.5%
정 8
 
5.5%
업 7
 
4.8%
및 6
 
4.1%
타 4
 
2.8%
기 4
 
2.8%
스 4
 
2.8%
Other values (45) 73
50.3%

배출및 방지시설
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:49:54.251032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length51
Mean length40.826087
Min length15

Characters and Unicode

Total characters939
Distinct characters44
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

Unique18 ?
Unique (%)78.3%

Sample

1st row저장및 혼합시설+여과집진시설
2nd row도장시설+도장시설+도장시설+분리시설(면제)+분리시설(면제)+분리시설(면제)+여과 및 흡착시설
3rd row도장시설+도장시설+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설
4th row도장시설+도장시설+분리시설(면제)+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설
5th row도장시설+도장시설+분리시설(면제)+여과 및 흡착시설
ValueCountFrequency (%)
및 17
18.3%
의한 9
 
9.7%
흡착시설+여과 8
 
8.6%
흡착시설 8
 
8.6%
시설 6
 
6.5%
보일러 4
 
4.3%
보일러(lng)+연소조절에 3
 
3.2%
냉온수기(lng)+흡수식 3
 
3.2%
lng)+흡수식 3
 
3.2%
시설+연소조절에 3
 
3.2%
Other values (24) 29
31.2%
2023-12-12T15:49:54.640331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 86
 
9.2%
시 82
 
8.7%
설 82
 
8.7%
70
 
7.5%
( 38
 
4.0%
) 38
 
4.0%
L 26
 
2.8%
N 26
 
2.8%
G 26
 
2.8%
흡 25
 
2.7%
Other values (34) 440
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
67.0%
Math Symbol 86
 
9.2%
Uppercase Letter 78
 
8.3%
Space Separator 70
 
7.5%
Open Punctuation 38
 
4.0%
Close Punctuation 38
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 82
 
13.0%
설 82
 
13.0%
흡 25
 
4.0%
장 23
 
3.7%
과 22
 
3.5%
여 22
 
3.5%
도 20
 
3.2%
러 19
 
3.0%
일 19
 
3.0%
보 19
 
3.0%
Other values (27) 296
47.1%
Uppercase Letter
ValueCountFrequency (%)
L 26
33.3%
N 26
33.3%
G 26
33.3%
Math Symbol
ValueCountFrequency (%)
+ 86
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
67.0%
Common 232
 
24.7%
Latin 78
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 82
 
13.0%
설 82
 
13.0%
흡 25
 
4.0%
장 23
 
3.7%
과 22
 
3.5%
여 22
 
3.5%
도 20
 
3.2%
러 19
 
3.0%
일 19
 
3.0%
보 19
 
3.0%
Other values (27) 296
47.1%
Common
ValueCountFrequency (%)
+ 86
37.1%
70
30.2%
( 38
16.4%
) 38
16.4%
Latin
ValueCountFrequency (%)
L 26
33.3%
N 26
33.3%
G 26
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
67.0%
ASCII 310
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 86
27.7%
70
22.6%
( 38
12.3%
) 38
12.3%
L 26
 
8.4%
N 26
 
8.4%
G 26
 
8.4%
Hangul
ValueCountFrequency (%)
시 82
 
13.0%
설 82
 
13.0%
흡 25
 
4.0%
장 23
 
3.7%
과 22
 
3.5%
여 22
 
3.5%
도 20
 
3.2%
러 19
 
3.0%
일 19
 
3.0%
보 19
 
3.0%
Other values (27) 296
47.1%

배출 및 방지시설 용량
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:49:54.794894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length131
Median length42
Mean length41.956522
Min length11

Characters and Unicode

Total characters965
Distinct characters32
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

Unique23 ?
Unique (%)100.0%

Sample

1st row1,500~0.3㎥(5310)+300~20㎥(1093)
2nd row79㎥+83㎥+82.1㎥+70.68㎥+125.4㎥+134.4㎥+380㎥/분
3rd row94.4㎥+88.2㎥+215.2㎥+380㎥/분+400㎥/분
4th row92㎥+81.9㎥+230.4㎥+151.2㎥+400㎥/분+300㎥/분
5th row82.9㎥+89.84㎥+269.35㎥+380㎥/분
ValueCountFrequency (%)
35,000kcal/hr 3
 
7.5%
300,000kcal/hr 2
 
5.0%
2,100,000kcal/hr 2
 
5.0%
8,000kcal/hr 2
 
5.0%
4,800kcal/hr 2
 
5.0%
48,000kcal/hr 2
 
5.0%
2t/hr 2
 
5.0%
81,648kcal/hr 2
 
5.0%
3톤/hr+4톤/hr+5톤/hr 1
 
2.5%
1,905,120kcal/hr+1,905,120kcal/hr+250,000kcal/hr+250,000kcal/hr 1
 
2.5%
Other values (21) 21
52.5%
2023-12-12T15:49:55.129285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 106
 
11.0%
+ 90
 
9.3%
/ 74
 
7.7%
㎥ 62
 
6.4%
r 49
 
5.1%
h 49
 
5.1%
8 48
 
5.0%
. 41
 
4.2%
1 38
 
3.9%
2 37
 
3.8%
Other values (22) 371
38.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 375
38.9%
Lowercase Letter 206
21.3%
Other Punctuation 144
 
14.9%
Math Symbol 92
 
9.5%
Other Symbol 62
 
6.4%
Other Letter 48
 
5.0%
Space Separator 28
 
2.9%
Open Punctuation 5
 
0.5%
Close Punctuation 5
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
28.3%
8 48
12.8%
1 38
 
10.1%
2 37
 
9.9%
3 37
 
9.9%
4 34
 
9.1%
5 33
 
8.8%
6 16
 
4.3%
9 14
 
3.7%
7 12
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
r 49
23.8%
h 49
23.8%
l 24
11.7%
a 24
11.7%
c 24
11.7%
k 24
11.7%
t 10
 
4.9%
o 1
 
0.5%
n 1
 
0.5%
Other Letter
ValueCountFrequency (%)
분 20
41.7%
톤 20
41.7%
시 5
 
10.4%
간 3
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 74
51.4%
. 41
28.5%
, 29
 
20.1%
Math Symbol
ValueCountFrequency (%)
+ 90
97.8%
~ 2
 
2.2%
Other Symbol
ValueCountFrequency (%)
㎥ 62
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 711
73.7%
Latin 206
 
21.3%
Hangul 48
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 106
14.9%
+ 90
12.7%
/ 74
10.4%
㎥ 62
8.7%
8 48
 
6.8%
. 41
 
5.8%
1 38
 
5.3%
2 37
 
5.2%
3 37
 
5.2%
4 34
 
4.8%
Other values (9) 144
20.3%
Latin
ValueCountFrequency (%)
r 49
23.8%
h 49
23.8%
l 24
11.7%
a 24
11.7%
c 24
11.7%
k 24
11.7%
t 10
 
4.9%
o 1
 
0.5%
n 1
 
0.5%
Hangul
ValueCountFrequency (%)
분 20
41.7%
톤 20
41.7%
시 5
 
10.4%
간 3
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 855
88.6%
CJK Compat 62
 
6.4%
Hangul 48
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 106
 
12.4%
+ 90
 
10.5%
/ 74
 
8.7%
r 49
 
5.7%
h 49
 
5.7%
8 48
 
5.6%
. 41
 
4.8%
1 38
 
4.4%
2 37
 
4.3%
3 37
 
4.3%
Other values (17) 286
33.5%
CJK Compat
ValueCountFrequency (%)
㎥ 62
100.0%
Hangul
ValueCountFrequency (%)
분 20
41.7%
톤 20
41.7%
시 5
 
10.4%
간 3
 
6.2%

배출 및 방지시설 수량
Text

Distinct14
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:49:55.314962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length9.1304348
Min length3

Characters and Unicode

Total characters210
Distinct characters12
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)34.8%

Sample

1st row71+14(배출구29)
2nd row1+1+1+1+1+1+3
3rd row1+1+1+1+1
4th row1+1+1+1+1+1
5th row1+1+1+2
ValueCountFrequency (%)
1+1+1+1+1+1 3
13.0%
1+1+1 3
13.0%
1+1+1+1 3
13.0%
1+1+1+1+1 2
8.7%
1+1 2
8.7%
1+1+1+1+1+1+1+1 2
8.7%
71+14(배출구29 1
 
4.3%
1+1+1+1+1+1+3 1
 
4.3%
1+1+1+2 1
 
4.3%
1+1+1+1+1+1+1+1+1+1 1
 
4.3%
Other values (4) 4
17.4%
2023-12-12T15:49:55.611621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 101
48.1%
+ 89
42.4%
2 7
 
3.3%
3 5
 
2.4%
7 1
 
0.5%
4 1
 
0.5%
( 1
 
0.5%
배 1
 
0.5%
출 1
 
0.5%
구 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
55.2%
Math Symbol 89
42.4%
Other Letter 3
 
1.4%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 101
87.1%
2 7
 
6.0%
3 5
 
4.3%
7 1
 
0.9%
4 1
 
0.9%
9 1
 
0.9%
Other Letter
ValueCountFrequency (%)
배 1
33.3%
출 1
33.3%
구 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 101
48.8%
+ 89
43.0%
2 7
 
3.4%
3 5
 
2.4%
7 1
 
0.5%
4 1
 
0.5%
( 1
 
0.5%
9 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
배 1
33.3%
출 1
33.3%
구 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 101
48.8%
+ 89
43.0%
2 7
 
3.4%
3 5
 
2.4%
7 1
 
0.5%
4 1
 
0.5%
( 1
 
0.5%
9 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
배 1
33.3%
출 1
33.3%
구 1
33.3%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
경기도 구리시청
23 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 구리시청
2nd row경기도 구리시청
3rd row경기도 구리시청
4th row경기도 구리시청
5th row경기도 구리시청

Common Values

ValueCountFrequency (%)
경기도 구리시청 23
100.0%

Length

2023-12-12T15:49:55.737679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:49:55.823502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 23
50.0%
구리시청 23
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-06-01 00:00:00
Maximum2023-06-01 00:00:00
2023-12-12T15:49:55.898076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:49:55.991856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:49:51.173570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:49:50.974123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:49:51.279667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:49:51.075545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:49:56.116502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지위도경도업 종배출및 방지시설배출 및 방지시설 용량배출 및 방지시설 수량
업소명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0000.9370.9431.0000.978
위도1.0001.0001.0000.9160.7530.7561.0000.741
경도1.0001.0000.9161.0000.8630.0001.0000.000
업 종1.0000.9370.7530.8631.0000.8231.0000.000
배출및 방지시설1.0000.9430.7560.0000.8231.0001.0000.957
배출 및 방지시설 용량1.0001.0001.0001.0001.0001.0001.0001.000
배출 및 방지시설 수량1.0000.9780.7410.0000.0000.9571.0001.000
2023-12-12T15:49:56.261278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.015
경도0.0151.000

Missing values

2023-12-12T15:49:51.424227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:49:51.598670image/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

업소명소재지위도경도업 종배출및 방지시설배출 및 방지시설 용량배출 및 방지시설 수량관리기관명데이터기준일자
0성신레미컨㈜경기도 구리시 동구릉로 25237.620368127.141974비금속저장및 혼합시설+여과집진시설1,500~0.3㎥(5310)+300~20㎥(1093)71+14(배출구29)경기도 구리시청2023-06-01
1제일 현대자동차공업사경기도 구리시 아차산로 375-237.589205127.129874자동차정비도장시설+도장시설+도장시설+분리시설(면제)+분리시설(면제)+분리시설(면제)+여과 및 흡착시설79㎥+83㎥+82.1㎥+70.68㎥+125.4㎥+134.4㎥+380㎥/분1+1+1+1+1+1+3경기도 구리시청2023-06-01
2르노삼성자동차 지정정비센터구리정비㈜경기도 구리시 아차산로506번길 2137.600283127.131962자동차정비도장시설+도장시설+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설94.4㎥+88.2㎥+215.2㎥+380㎥/분+400㎥/분1+1+1+1+1경기도 구리시청2023-06-01
3현대공업사경기도 구리시 동구릉로200번길 3437.616934127.140146자동차정비도장시설+도장시설+분리시설(면제)+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설92㎥+81.9㎥+230.4㎥+151.2㎥+400㎥/분+300㎥/분1+1+1+1+1+1경기도 구리시청2023-06-01
4교문자동차공업사경기도 구리시 동구릉로200번길 1837.616341127.139045자동차정비도장시설+도장시설+분리시설(면제)+여과 및 흡착시설82.9㎥+89.84㎥+269.35㎥+380㎥/분1+1+1+2경기도 구리시청2023-06-01
5(주)협신자동차공업사경기도 구리시 경춘로 162번길 737.600219127.133428자동차정비도장시설+도장시설+도장시설+도장시설+분리시설(면제)+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설+여과 및 흡착시설+여과 및 흡착시설79㎥+79㎥+88.2㎥+74.5㎥+176.6㎥+185.8㎥+400㎥/분+380㎥/분+400㎥/분+380㎥/분1+1+1+1+1+1+1+1+1+1경기도 구리시청2023-06-01
6구리현대공업사경기도 구리시 아차산로 39937.5907127.130586자동차정비도장시설+도장시설+도장시설+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설+여과집진시설88.2㎥+76.64㎥+82.1㎥+648㎥+400㎥+380㎥/분+380㎥/분1+1+1+1+1+2+2경기도 구리시청2023-06-01
7유진자동차공업사경기도 구리시 동구릉로136번길 9037.613237127.144851자동차정비도장시설+분리시설(면제)+여과 및 흡착시설88.2㎥+210㎥+400㎥/분1+1+1경기도 구리시청2023-06-01
81급 동구자동차공업사경기도 구리시 동구릉로215번길 837.617924127.137537자동차정비도장시설+도장시설+분리시설(면제)+여과 및 흡착시설+여과 및 흡착시설88.2㎥+101.2㎥+780㎥+400㎥/분+350㎥/분1+1+1+1+1경기도 구리시청2023-06-01
9금강고속경기도 구리시 아차산로487번길 3437.598673127.128579운수장비 및 세차도장시설+여과 및 흡착시설+여과 및 흡착시설434.6㎥+350㎥/분+350㎥/분1+1+1경기도 구리시청2023-06-01
업소명소재지위도경도업 종배출및 방지시설배출 및 방지시설 용량배출 및 방지시설 수량관리기관명데이터기준일자
13롯데쇼핑㈜ 아울렛 구리점경기도 구리시 동구릉로136번길 4737.611827127.139789백화점보일러(LNG)+연소조절에 의한 시설1톤/hr+3톤/hr3+3경기도 구리시청2023-06-01
14구리농수산물공사경기도 구리시 동구릉로136번길 9037.613237127.144851시장관리 및 운영보일러(LNG)+보일러(LNG)+연소조절에 의한 시설+연소조절에 의한 시설3.5톤/hr+2.5톤/hr+4톤/hr+3톤/hr1+1+1+1경기도 구리시청2023-06-01
15리맥스관리단경기도 구리시 경춘로 23937.601586127.141627기타 부동산임대업보일러(LNG)+연소조절에 의한 시설2.0톤/hr+2.0톤/hr1+1경기도 구리시청2023-06-01
16한양대학교 구리병원경기도 구리시 경춘로 15337.601161127.132319병원보일러(LNG)+보일러(LNG)+보일러(LNG)+방지시설 면제+방지시설 면제+방지시설 면제3톤/hr+4톤/hr+5톤/hr1+1+1경기도 구리시청2023-06-01
17현대건설㈜ [세종-포천고속도로 안성-구리구간]경기도 구리시 토평동 465-408번지 외 5필지37.58106127.15238레미콘 제조업계량시설+혼합시설+저장시설+저장시설+여과집진시설+여과집진시설+여과집진시설3㎥+10.6㎥+244.4㎥+125.7㎥+80㎥/분+15㎥/분+15㎥/분2+1+3+1+1+3+1경기도 구리시청2023-06-01
18스타로드일반사모부동산제10호투자회사경기도 구리시 경춘로 26037.60207127.14406금융 및 보험 관련 서비스업보일러 (LNG)+흡수식 냉온수기(LNG)1t/hr+846,720kcal/hr+99.2㎥/hr+133.8㎥/hr+133.8㎥/hr1+2+1+2경기도 구리시청2023-06-01
19세신인창종합상가관리단경기도 구리시 건원대로34번길 27 세신인창종합상가 (인창동)37.60483127.14158그외 기타 협회 및 단체흡수식 냉온수기(LNG)+흡수식 냉온수기(LNG)+연소조절에의한시설+연소조절에의한시설81,648kcal/hr+ 81,648kcal/hr+ 2t/hr+ 2t/hr1+1+1+1경기도 구리시청2023-06-01
20국민은행경기도 구리시 경춘로 243 CGV구리 (인창동)37.60178127.14207금융 및 보험 관련 서비스업보일러 (LNG)+보일러 (LNG)+흡수식 냉온수기(LNG)+흡수식 냉온수기(LNG)+연소조절에의한시설+연소조절에의한시설48,000kcal/hr+ 48,000kcal/hr+ 60,480kcal/hr+ 63,504kcal/hr+ 4,800kcal/hr+ 4,800kcal/hr+ 8,000kcal/hr+ 8,000kcal/hr1+1+1+1+1+1+1+1경기도 구리시청2023-06-01
21인창주공1단지입주자대표회경기도 구리시 건원대로 92 (인창동 인창1단지주공아파트)37.60918127.13863그외 기타 협회 및 단체보일러 (LNG)+연소조절에의한시설35,000kcal/hr+ 35,000kcal/hr+ 35,000kcal/hr+ 5t/hr+5t/hr+5t/hr1+1+1+1+1+1경기도 구리시청2023-06-01
22(주)모다이노칩경기도 구리시 경춘북로 23037.63347127.11593기타 대형 종합 소매업보일러 (LNG)+보일러 (LNG)+흡수식 냉온수기(LNG)+흡수식 냉온수기(LNG)+연소조절에의한시설+연소조절에의한시설+연소조절에의한시설+연소조절에의한시설1,905,120kcal/hr+1,905,120kcal/hr+250,000kcal/hr+250,000kcal/hr+ 2,100,000kcal/hr+ 2,100,000kcal/hr+ 300,000kcal/hr+ 300,000kcal/hr1+1+1+1+1+1+1+1경기도 구리시청2023-06-01