Overview

Dataset statistics

Number of variables5
Number of observations277
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory43.5 B

Variable types

Numeric3
Text2

Dataset

Description밤샘주차단속시스템 기관주소관리현황에 대한 데이터로 연번, 기관코드, 기관명, 기관소재지, 우편번호 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15087089/fileData.do

Alerts

기관코드 is highly overall correlated with 우편번호High correlation
우편번호 is highly overall correlated with 기관코드High correlation
연번 has unique valuesUnique
기관코드 has unique valuesUnique
기관명 has unique valuesUnique
기관소재지 has unique valuesUnique
우편번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:55:12.687876
Analysis finished2023-12-12 18:55:14.510107
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139
Minimum1
Maximum277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T03:55:14.671300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.8
Q170
median139
Q3208
95-th percentile263.2
Maximum277
Range276
Interquartile range (IQR)138

Descriptive statistics

Standard deviation80.10722
Coefficient of variation (CV)0.57631093
Kurtosis-1.2
Mean139
Median Absolute Deviation (MAD)69
Skewness0
Sum38503
Variance6417.1667
MonotonicityStrictly increasing
2023-12-13T03:55:14.904634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
184 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
183 1
 
0.4%
175 1
 
0.4%
Other values (267) 267
96.4%
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 (%)
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%

기관코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38267.278
Minimum11000
Maximum50130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T03:55:15.150024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile11434
Q130000
median42230
Q346710
95-th percentile48314
Maximum50130
Range39130
Interquartile range (IQR)16710

Descriptive statistics

Standard deviation11119.176
Coefficient of variation (CV)0.29056617
Kurtosis0.58607293
Mean38267.278
Median Absolute Deviation (MAD)4650
Skewness-1.2908177
Sum10600036
Variance1.2363608 × 108
MonotonicityNot monotonic
2023-12-13T03:55:15.403167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42000 1
 
0.4%
31000 1
 
0.4%
28000 1
 
0.4%
31110 1
 
0.4%
31710 1
 
0.4%
31200 1
 
0.4%
31170 1
 
0.4%
31140 1
 
0.4%
36110 1
 
0.4%
11710 1
 
0.4%
Other values (267) 267
96.4%
ValueCountFrequency (%)
11000 1
0.4%
11110 1
0.4%
11140 1
0.4%
11170 1
0.4%
11200 1
0.4%
11215 1
0.4%
11230 1
0.4%
11260 1
0.4%
11290 1
0.4%
11305 1
0.4%
ValueCountFrequency (%)
50130 1
0.4%
50110 1
0.4%
50000 1
0.4%
48890 1
0.4%
48880 1
0.4%
48870 1
0.4%
48860 1
0.4%
48850 1
0.4%
48840 1
0.4%
48820 1
0.4%

기관명
Text

UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:55:16.046454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.267148
Min length3

Characters and Unicode

Total characters2290
Distinct characters149
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

Unique277 ?
Unique (%)100.0%

Sample

1st row강원도
2nd row강원도 강릉시
3rd row강원도 고성군
4th row강원도 동해시
5th row강원도 삼척시
ValueCountFrequency (%)
경기도 49
 
8.6%
서울특별시 26
 
4.6%
경상북도 26
 
4.6%
경상남도 24
 
4.2%
전라남도 23
 
4.0%
강원도 19
 
3.3%
충청남도 18
 
3.2%
전라북도 17
 
3.0%
부산광역시 17
 
3.0%
충청북도 16
 
2.8%
Other values (243) 334
58.7%
2023-12-13T03:55:16.874278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
 
12.8%
도 200
 
8.7%
시 192
 
8.4%
구 115
 
5.0%
경 102
 
4.5%
군 85
 
3.7%
남 82
 
3.6%
광 67
 
2.9%
북 67
 
2.9%
역 55
 
2.4%
Other values (139) 1033
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1998
87.2%
Space Separator 292
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 200
 
10.0%
시 192
 
9.6%
구 115
 
5.8%
경 102
 
5.1%
군 85
 
4.3%
남 82
 
4.1%
광 67
 
3.4%
북 67
 
3.4%
역 55
 
2.8%
상 54
 
2.7%
Other values (138) 979
49.0%
Space Separator
ValueCountFrequency (%)
292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1998
87.2%
Common 292
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 200
 
10.0%
시 192
 
9.6%
구 115
 
5.8%
경 102
 
5.1%
군 85
 
4.3%
남 82
 
4.1%
광 67
 
3.4%
북 67
 
3.4%
역 55
 
2.8%
상 54
 
2.7%
Other values (138) 979
49.0%
Common
ValueCountFrequency (%)
292
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1998
87.2%
ASCII 292
 
12.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
100.0%
Hangul
ValueCountFrequency (%)
도 200
 
10.0%
시 192
 
9.6%
구 115
 
5.8%
경 102
 
5.1%
군 85
 
4.3%
남 82
 
4.1%
광 67
 
3.4%
북 67
 
3.4%
역 55
 
2.8%
상 54
 
2.7%
Other values (138) 979
49.0%

기관소재지
Text

UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:55:17.491046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length12.935018
Min length8

Characters and Unicode

Total characters3583
Distinct characters238
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

Unique277 ?
Unique (%)100.0%

Sample

1st row춘천시 중앙로 1
2nd row강릉시 강릉대로 33
3rd row고성군 간성읍 고성중앙길 9
4th row동해시 천곡로 77
5th row삼척시 중앙로 296
ValueCountFrequency (%)
1 27
 
2.8%
중앙로 18
 
1.8%
시청로 14
 
1.4%
군청길 10
 
1.0%
33 9
 
0.9%
남구 9
 
0.9%
중구 8
 
0.8%
군청로 7
 
0.7%
서구 7
 
0.7%
창원시 7
 
0.7%
Other values (702) 858
88.1%
2023-12-13T03:55:18.366638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
697
19.5%
로 250
 
7.0%
1 174
 
4.9%
시 142
 
4.0%
구 137
 
3.8%
군 106
 
3.0%
2 95
 
2.7%
0 87
 
2.4%
3 85
 
2.4%
읍 84
 
2.3%
Other values (228) 1726
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2169
60.5%
Decimal Number 713
 
19.9%
Space Separator 697
 
19.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 250
 
11.5%
시 142
 
6.5%
구 137
 
6.3%
군 106
 
4.9%
읍 84
 
3.9%
청 63
 
2.9%
산 49
 
2.3%
양 46
 
2.1%
길 46
 
2.1%
대 45
 
2.1%
Other values (215) 1201
55.4%
Decimal Number
ValueCountFrequency (%)
1 174
24.4%
2 95
13.3%
0 87
12.2%
3 85
11.9%
5 78
10.9%
7 49
 
6.9%
4 38
 
5.3%
9 37
 
5.2%
8 35
 
4.9%
6 35
 
4.9%
Space Separator
ValueCountFrequency (%)
697
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2169
60.5%
Common 1414
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 250
 
11.5%
시 142
 
6.5%
구 137
 
6.3%
군 106
 
4.9%
읍 84
 
3.9%
청 63
 
2.9%
산 49
 
2.3%
양 46
 
2.1%
길 46
 
2.1%
대 45
 
2.1%
Other values (215) 1201
55.4%
Common
ValueCountFrequency (%)
697
49.3%
1 174
 
12.3%
2 95
 
6.7%
0 87
 
6.2%
3 85
 
6.0%
5 78
 
5.5%
7 49
 
3.5%
4 38
 
2.7%
9 37
 
2.6%
8 35
 
2.5%
Other values (3) 39
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2169
60.5%
ASCII 1414
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
697
49.3%
1 174
 
12.3%
2 95
 
6.7%
0 87
 
6.2%
3 85
 
6.0%
5 78
 
5.5%
7 49
 
3.5%
4 38
 
2.7%
9 37
 
2.6%
8 35
 
2.5%
Other values (3) 39
 
2.8%
Hangul
ValueCountFrequency (%)
로 250
 
11.5%
시 142
 
6.5%
구 137
 
6.3%
군 106
 
4.9%
읍 84
 
3.9%
청 63
 
2.9%
산 49
 
2.3%
양 46
 
2.1%
길 46
 
2.1%
대 45
 
2.1%
Other values (215) 1201
55.4%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33732.502
Minimum1071
Maximum63584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T03:55:18.607866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1071
5-th percentile4970.8
Q117049
median33483
Q350317
95-th percentile59144.8
Maximum63584
Range62513
Interquartile range (IQR)33268

Descriptive statistics

Standard deviation17697.085
Coefficient of variation (CV)0.52463008
Kurtosis-1.206105
Mean33732.502
Median Absolute Deviation (MAD)16648
Skewness-0.077764241
Sum9343903
Variance3.1318682 × 108
MonotonicityNot monotonic
2023-12-13T03:55:19.317341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24266 1
 
0.4%
44675 1
 
0.4%
21554 1
 
0.4%
44475 1
 
0.4%
44663 1
 
0.4%
44248 1
 
0.4%
44021 1
 
0.4%
44701 1
 
0.4%
30151 1
 
0.4%
5552 1
 
0.4%
Other values (267) 267
96.4%
ValueCountFrequency (%)
1071 1
0.4%
1331 1
0.4%
1689 1
0.4%
2043 1
0.4%
2565 1
0.4%
2848 1
0.4%
3153 1
0.4%
3384 1
0.4%
3718 1
0.4%
3937 1
0.4%
ValueCountFrequency (%)
63584 1
0.4%
63208 1
0.4%
63122 1
0.4%
62430 1
0.4%
61945 1
0.4%
61928 1
0.4%
61687 1
0.4%
61466 1
0.4%
61187 1
0.4%
59675 1
0.4%

Interactions

2023-12-13T03:55:13.901691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:13.051976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:13.452711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:14.023770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:13.176560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:13.605731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:14.176214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:13.315110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:55:13.763631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:55:19.455229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관코드우편번호
연번1.0000.8650.940
기관코드0.8651.0000.858
우편번호0.9400.8581.000
2023-12-13T03:55:19.594684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관코드우편번호
연번1.0000.0490.331
기관코드0.0491.0000.568
우편번호0.3310.5681.000

Missing values

2023-12-13T03:55:14.330703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:55:14.448437image/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

연번기관코드기관명기관소재지우편번호
0142000강원도춘천시 중앙로 124266
1242150강원도 강릉시강릉시 강릉대로 3325522
2342820강원도 고성군고성군 간성읍 고성중앙길 924735
3442170강원도 동해시동해시 천곡로 7725755
4542230강원도 삼척시삼척시 중앙로 29625914
5642210강원도 속초시속초시 중앙로 18324826
6742800강원도 양구군양구군 양구읍 관공서로 3824522
7842830강원도 양양군양양군 양양읍 군청길 125024
8942750강원도 영월군영월군 영월읍 하송로 6426235
91042130강원도 원주시원주시 시청로 126384
연번기관코드기관명기관소재지우편번호
26726843770충청북도 음성군음성군 음성읍 중앙로 17327690
26826943150충청북도 제천시제천시 내토로 29527188
26927043745충청북도 증평군증평군 증평읍 광장로 8827927
27027143750충청북도 진천군진천군 진천읍 상산로 1327832
27127243110충청북도 청주시청주시 상당구 상당로 15528542
27227343111충청북도 청주시 상당구청주시 상당구 상당로 69번길 3828547
27327443112충청북도 청주시 서원구청주시 서원구 사직대로 22728565
27427543114충청북도 청주시 청원구청주시 청원구 직지대로 87128488
27527643113충청북도 청주시 흥덕구청주시 흥덕구 대농로 8828426
27627743130충청북도 충주시충주시 으뜸로 2127339