Overview

Dataset statistics

Number of variables7
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory58.6 B

Variable types

Categorical3
Text3
Numeric1

Dataset

Description경찰청 충청북도경찰청_지구대,파출소 현황에 대한 데이터로 충청북도경찰청 내 지구대,파출소 78개소에 대한 현황 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15007450/fileData.do

Alerts

도경찰청 has constant value ""Constant
우편번호 is highly overall correlated with 경찰서High correlation
경찰서 is highly overall correlated with 우편번호High correlation
주소 has unique valuesUnique
일반전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:50:39.226053
Analysis finished2023-12-12 18:50:40.040345
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도경찰청
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
충북
80 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충북
2nd row충북
3rd row충북
4th row충북
5th row충북

Common Values

ValueCountFrequency (%)
충북 80
100.0%

Length

2023-12-13T03:50:40.124519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:50:40.255130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충북 80
100.0%

경찰서
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
충주
9 
흥덕
8 
상당
7 
제천
7 
음성
7 
Other values (7)
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row흥덕
2nd row흥덕
3rd row흥덕
4th row흥덕
5th row흥덕

Common Values

ValueCountFrequency (%)
충주 9
11.2%
흥덕 8
10.0%
상당 7
8.8%
제천 7
8.8%
음성 7
8.8%
괴산 7
8.8%
옥천 7
8.8%
청원 6
7.5%
영동 6
7.5%
보은 6
7.5%
Other values (2) 10
12.5%

Length

2023-12-13T03:50:40.373363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충주 9
11.2%
흥덕 8
10.0%
상당 7
8.8%
제천 7
8.8%
음성 7
8.8%
괴산 7
8.8%
옥천 7
8.8%
청원 6
7.5%
영동 6
7.5%
보은 6
7.5%
Other values (2) 10
12.5%

지구대(파출소)명
Text

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T03:50:40.631697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0875
Min length2

Characters and Unicode

Total characters167
Distinct characters89
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

Unique73 ?
Unique (%)91.2%

Sample

1st row복대
2nd row강서
3rd row봉명
4th row강내
5th row옥산
ValueCountFrequency (%)
중앙 5
 
6.2%
덕산 2
 
2.5%
영춘 1
 
1.2%
광혜원 1
 
1.2%
청안 1
 
1.2%
불정 1
 
1.2%
칠성 1
 
1.2%
연풍 1
 
1.2%
청천 1
 
1.2%
괴산 1
 
1.2%
Other values (65) 65
81.2%
2023-12-13T03:50:41.167955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 9
 
5.4%
앙 7
 
4.2%
중 6
 
3.6%
내 6
 
3.6%
성 6
 
3.6%
청 6
 
3.6%
강 5
 
3.0%
덕 4
 
2.4%
이 4
 
2.4%
안 4
 
2.4%
Other values (79) 110
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
99.4%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9
 
5.4%
앙 7
 
4.2%
중 6
 
3.6%
내 6
 
3.6%
성 6
 
3.6%
청 6
 
3.6%
강 5
 
3.0%
덕 4
 
2.4%
이 4
 
2.4%
안 4
 
2.4%
Other values (78) 109
65.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9
 
5.4%
앙 7
 
4.2%
중 6
 
3.6%
내 6
 
3.6%
성 6
 
3.6%
청 6
 
3.6%
강 5
 
3.0%
덕 4
 
2.4%
이 4
 
2.4%
안 4
 
2.4%
Other values (78) 109
65.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 9
 
5.4%
앙 7
 
4.2%
중 6
 
3.6%
내 6
 
3.6%
성 6
 
3.6%
청 6
 
3.6%
강 5
 
3.0%
덕 4
 
2.4%
이 4
 
2.4%
안 4
 
2.4%
Other values (78) 109
65.7%
ASCII
ValueCountFrequency (%)
1
100.0%

구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
파출소
51 
지구대
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지구대
2nd row지구대
3rd row지구대
4th row파출소
5th row파출소

Common Values

ValueCountFrequency (%)
파출소 51
63.7%
지구대 29
36.2%

Length

2023-12-13T03:50:41.338399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:50:41.496228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파출소 51
63.7%
지구대 29
36.2%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28090.963
Minimum27005
Maximum29166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-13T03:50:41.686379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27005
5-th percentile27026.7
Q127490.75
median28088
Q328770.5
95-th percentile29114.45
Maximum29166
Range2161
Interquartile range (IQR)1279.75

Descriptive statistics

Standard deviation678.51152
Coefficient of variation (CV)0.024154086
Kurtosis-1.1899267
Mean28090.963
Median Absolute Deviation (MAD)628.5
Skewness0.080250463
Sum2247277
Variance460377.88
MonotonicityNot monotonic
2023-12-13T03:50:41.903837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28190 2
 
2.5%
28420 1
 
1.2%
27018 1
 
1.2%
27021 1
 
1.2%
27005 1
 
1.2%
27012 1
 
1.2%
28050 1
 
1.2%
28002 1
 
1.2%
28019 1
 
1.2%
28013 1
 
1.2%
Other values (69) 69
86.2%
ValueCountFrequency (%)
27005 1
1.2%
27012 1
1.2%
27018 1
1.2%
27021 1
1.2%
27027 1
1.2%
27115 1
1.2%
27148 1
1.2%
27173 1
1.2%
27187 1
1.2%
27200 1
1.2%
ValueCountFrequency (%)
29166 1
1.2%
29155 1
1.2%
29144 1
1.2%
29123 1
1.2%
29114 1
1.2%
29110 1
1.2%
29061 1
1.2%
29030 1
1.2%
29024 1
1.2%
29017 1
1.2%

주소
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T03:50:42.352348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.7875
Min length13

Characters and Unicode

Total characters1503
Distinct characters133
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

Unique80 ?
Unique (%)100.0%

Sample

1st row충북 청주시 흥덕구 진재로 16
2nd row충북 청주시 흥덕구 가로수길 1158
3rd row충북 청주시 흥덕구 송절로64번길 13
4th row충북 청주시 흥덕구 강내면 가로수길 566
5th row충북 청주시 흥덕구 옥상면 청주역로 662
ValueCountFrequency (%)
충북 78
 
19.4%
청주시 21
 
5.2%
충주시 9
 
2.2%
흥덕구 7
 
1.7%
음성군 7
 
1.7%
옥천군 7
 
1.7%
제천시 7
 
1.7%
괴산군 6
 
1.5%
영동군 6
 
1.5%
상당구 6
 
1.5%
Other values (215) 248
61.7%
2023-12-13T03:50:43.114442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
21.8%
충 87
 
5.8%
북 83
 
5.5%
로 71
 
4.7%
1 51
 
3.4%
면 49
 
3.3%
군 44
 
2.9%
시 39
 
2.6%
청 38
 
2.5%
주 33
 
2.2%
Other values (123) 680
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 944
62.8%
Space Separator 328
 
21.8%
Decimal Number 228
 
15.2%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 87
 
9.2%
북 83
 
8.8%
로 71
 
7.5%
면 49
 
5.2%
군 44
 
4.7%
시 39
 
4.1%
청 38
 
4.0%
주 33
 
3.5%
산 25
 
2.6%
천 25
 
2.6%
Other values (111) 450
47.7%
Decimal Number
ValueCountFrequency (%)
1 51
22.4%
3 30
13.2%
2 23
10.1%
6 22
9.6%
7 20
 
8.8%
4 20
 
8.8%
5 18
 
7.9%
0 16
 
7.0%
8 16
 
7.0%
9 12
 
5.3%
Space Separator
ValueCountFrequency (%)
328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 944
62.8%
Common 559
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 87
 
9.2%
북 83
 
8.8%
로 71
 
7.5%
면 49
 
5.2%
군 44
 
4.7%
시 39
 
4.1%
청 38
 
4.0%
주 33
 
3.5%
산 25
 
2.6%
천 25
 
2.6%
Other values (111) 450
47.7%
Common
ValueCountFrequency (%)
328
58.7%
1 51
 
9.1%
3 30
 
5.4%
2 23
 
4.1%
6 22
 
3.9%
7 20
 
3.6%
4 20
 
3.6%
5 18
 
3.2%
0 16
 
2.9%
8 16
 
2.9%
Other values (2) 15
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 944
62.8%
ASCII 559
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
58.7%
1 51
 
9.1%
3 30
 
5.4%
2 23
 
4.1%
6 22
 
3.9%
7 20
 
3.6%
4 20
 
3.6%
5 18
 
3.2%
0 16
 
2.9%
8 16
 
2.9%
Other values (2) 15
 
2.7%
Hangul
ValueCountFrequency (%)
충 87
 
9.2%
북 83
 
8.8%
로 71
 
7.5%
면 49
 
5.2%
군 44
 
4.7%
시 39
 
4.1%
청 38
 
4.0%
주 33
 
3.5%
산 25
 
2.6%
천 25
 
2.6%
Other values (111) 450
47.7%

일반전화
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T03:50:43.599944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters960
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

Unique80 ?
Unique (%)100.0%

Sample

1st row043-270-3702
2nd row043-270-3703
3rd row043-270-3705
4th row043-270-3704
5th row043-270-3728
ValueCountFrequency (%)
043-270-3702 1
 
1.2%
043-270-3703 1
 
1.2%
043-422-4112 1
 
1.2%
043-422-3211 1
 
1.2%
043-836-9112 1
 
1.2%
043-833-7112 1
 
1.2%
043-832-5112 1
 
1.2%
043-833-5112 1
 
1.2%
043-832-4112 1
 
1.2%
043-422-8112 1
 
1.2%
Other values (70) 70
87.5%
2023-12-13T03:50:44.544653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 160
16.7%
0 134
14.0%
3 132
13.8%
1 129
13.4%
4 121
12.6%
2 99
10.3%
7 70
7.3%
8 47
 
4.9%
5 35
 
3.6%
6 18
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
83.3%
Dash Punctuation 160
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 134
16.8%
3 132
16.5%
1 129
16.1%
4 121
15.1%
2 99
12.4%
7 70
8.8%
8 47
 
5.9%
5 35
 
4.4%
6 18
 
2.2%
9 15
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 160
16.7%
0 134
14.0%
3 132
13.8%
1 129
13.4%
4 121
12.6%
2 99
10.3%
7 70
7.3%
8 47
 
4.9%
5 35
 
3.6%
6 18
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 160
16.7%
0 134
14.0%
3 132
13.8%
1 129
13.4%
4 121
12.6%
2 99
10.3%
7 70
7.3%
8 47
 
4.9%
5 35
 
3.6%
6 18
 
1.9%

Interactions

2023-12-13T03:50:39.673020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:50:44.819891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경찰서지구대(파출소)명구분우편번호주소일반전화
경찰서1.0000.6040.1460.9211.0001.000
지구대(파출소)명0.6041.0000.9030.8891.0001.000
구분0.1460.9031.0000.5171.0001.000
우편번호0.9210.8890.5171.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
일반전화1.0001.0001.0001.0001.0001.000
2023-12-13T03:50:45.097776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분경찰서
구분1.0000.097
경찰서0.0971.000
2023-12-13T03:50:45.385416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호경찰서구분
우편번호1.0000.7160.374
경찰서0.7161.0000.097
구분0.3740.0971.000

Missing values

2023-12-13T03:50:39.827440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:50:39.977562image/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

도경찰청경찰서지구대(파출소)명구분우편번호주소일반전화
0충북흥덕복대지구대28420충북 청주시 흥덕구 진재로 16043-270-3702
1충북흥덕강서지구대28376충북 청주시 흥덕구 가로수길 1158043-270-3703
2충북흥덕봉명지구대28462충북 청주시 흥덕구 송절로64번길 13043-270-3705
3충북흥덕강내파출소28172충북 청주시 흥덕구 강내면 가로수길 566043-270-3704
4충북흥덕옥산파출소28113충북 청주시 흥덕구 옥상면 청주역로 662043-270-3728
5충북흥덕오송파출소28168충북 청주시 흥덕구 오송읍 가로수로 197043-270-3707
6충북흥덕남이파출소28182충북 청주시 서원구 남이면 청남로 1205043-270-3709
7충북흥덕현도파출소28215충북 청주시 서원구 현도면 청남로 358043-270-3710
8충북상당용암지구대28762충북 청주시 상당구 용암북로 160번길7043-280-1701
9충북상당분평지구대28796청주시 흥덕구 분평로 37043-280-1704
도경찰청경찰서지구대(파출소)명구분우편번호주소일반전화
70충북옥천안내파출소29006충북 옥천군 안내면 현리3길 17043-730-9726
71충북옥천이원파출소29061충북 옥천군 이원면 신흥1길 18043-730-9714
72충북옥천동이파출소29024충북 옥천군 동이면 평산길 34043-730-9725
73충북옥천청산파출소29013충북 옥천군 청산면 지전길 48043-730-9719
74충북옥천청성파출소29017충북 옥천군 청성면 산계길 97043-730-9728
75충북진천상산지구대27840충북 진천군 진천읍 남산3길 10043-532-3112
76충북진천덕산지구대27851충북 진천군 덕산면 덕금로 803043-536-4112
77충북진천이월파출소27814충북 진천군 이월면 진광로 803043-537-8112
78충북진천광혜원파출소27805충북 진천군 광혜원면 중리3길 18043-535-3112
79충북진천초평파출소27858충북 진천군 초평면 초동로 9043-532-6112