Overview

Dataset statistics

Number of variables17
Number of observations489
Missing cells473
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.9 KiB
Average record size in memory142.3 B

Variable types

Categorical7
Text4
Numeric4
Boolean1
DateTime1

Dataset

Description노인장애인보호구역 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=EBAUVR4I7C0FHIYCANY128983763&infSeq=1

Alerts

시도명 has constant value ""Constant
관할경찰서명 is highly overall correlated with 시군구코드 and 7 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 시군구코드 and 7 other fieldsHigh correlation
관리기관명 is highly overall correlated with 시군구코드 and 7 other fieldsHigh correlation
시군구명 is highly overall correlated with 시군구코드 and 7 other fieldsHigh correlation
시군구코드 is highly overall correlated with CCTV설치대수 and 4 other fieldsHigh correlation
위도 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
CCTV설치대수 is highly overall correlated with 시군구코드 and 1 other fieldsHigh correlation
장소유형코드 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
CCTV설치여부 is highly overall correlated with CCTV설치대수 and 4 other fieldsHigh correlation
제한속도 is highly imbalanced (78.7%)Imbalance
소재지도로명주소 has 7 (1.4%) missing valuesMissing
CCTV설치대수 has 278 (56.9%) missing valuesMissing
보호구역도로폭 has 187 (38.2%) missing valuesMissing
CCTV설치대수 has 116 (23.7%) zerosZeros

Reproduction

Analysis started2024-05-10 20:37:30.448164
Analysis finished2024-05-10 20:37:41.972752
Duration11.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장소유형코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
1
430 
2
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 430
87.9%
2 59
 
12.1%

Length

2024-05-10T20:37:42.136432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:37:42.415378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 430
87.9%
2 59
 
12.1%

대상시설명
Text

Distinct486
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-10T20:37:42.724536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.2535787
Min length3

Characters and Unicode

Total characters4036
Distinct characters315
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

Unique483 ?
Unique (%)98.8%

Sample

1st row화성아름마을
2nd row유포1리경로당
3rd row신남1리경로당
4th row음양1리경로당
5th row여주시 노인복지회관
ValueCountFrequency (%)
경로당 144
 
18.8%
마을회관 31
 
4.0%
노인복지회관 7
 
0.9%
송산면 7
 
0.9%
경로당(마을회관 6
 
0.8%
노인복지관 6
 
0.8%
남양읍 5
 
0.7%
팔탄면 4
 
0.5%
향남읍 4
 
0.5%
정남면 3
 
0.4%
Other values (534) 551
71.7%
2024-05-10T20:37:43.627128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
 
6.9%
당 250
 
6.2%
로 248
 
6.1%
경 245
 
6.1%
리 230
 
5.7%
관 154
 
3.8%
회 117
 
2.9%
인 106
 
2.6%
지 103
 
2.6%
노 95
 
2.4%
Other values (305) 2208
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3521
87.2%
Space Separator 280
 
6.9%
Decimal Number 206
 
5.1%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Uppercase Letter 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 250
 
7.1%
로 248
 
7.0%
경 245
 
7.0%
리 230
 
6.5%
관 154
 
4.4%
회 117
 
3.3%
인 106
 
3.0%
지 103
 
2.9%
노 95
 
2.7%
마 86
 
2.4%
Other values (285) 1887
53.6%
Decimal Number
ValueCountFrequency (%)
1 87
42.2%
2 56
27.2%
3 29
 
14.1%
4 19
 
9.2%
5 9
 
4.4%
6 2
 
1.0%
7 2
 
1.0%
9 1
 
0.5%
8 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
N 1
11.1%
K 1
11.1%
H 1
11.1%
S 1
11.1%
P 1
11.1%
I 1
11.1%
V 1
11.1%
Space Separator
ValueCountFrequency (%)
280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3521
87.2%
Common 506
 
12.5%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 250
 
7.1%
로 248
 
7.0%
경 245
 
7.0%
리 230
 
6.5%
관 154
 
4.4%
회 117
 
3.3%
인 106
 
3.0%
지 103
 
2.9%
노 95
 
2.7%
마 86
 
2.4%
Other values (285) 1887
53.6%
Common
ValueCountFrequency (%)
280
55.3%
1 87
 
17.2%
2 56
 
11.1%
3 29
 
5.7%
4 19
 
3.8%
) 10
 
2.0%
( 10
 
2.0%
5 9
 
1.8%
6 2
 
0.4%
7 2
 
0.4%
Other values (2) 2
 
0.4%
Latin
ValueCountFrequency (%)
L 2
22.2%
N 1
11.1%
K 1
11.1%
H 1
11.1%
S 1
11.1%
P 1
11.1%
I 1
11.1%
V 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3521
87.2%
ASCII 515
 
12.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
54.4%
1 87
 
16.9%
2 56
 
10.9%
3 29
 
5.6%
4 19
 
3.7%
) 10
 
1.9%
( 10
 
1.9%
5 9
 
1.7%
6 2
 
0.4%
7 2
 
0.4%
Other values (10) 11
 
2.1%
Hangul
ValueCountFrequency (%)
당 250
 
7.1%
로 248
 
7.0%
경 245
 
7.0%
리 230
 
6.5%
관 154
 
4.4%
회 117
 
3.3%
인 106
 
3.0%
지 103
 
2.9%
노 95
 
2.7%
마 86
 
2.4%
Other values (285) 1887
53.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
경기도
489 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 489
100.0%

Length

2024-05-10T20:37:44.010018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:37:44.225643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 489
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
화성시
64 
파주시
58 
용인시
42 
수원시
36 
가평군
34 
Other values (26)
255 

Length

Max length4
Median length3
Mean length3.0429448
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성시
2nd row화성시
3rd row화성시
4th row화성시
5th row여주시

Common Values

ValueCountFrequency (%)
화성시 64
13.1%
파주시 58
 
11.9%
용인시 42
 
8.6%
수원시 36
 
7.4%
가평군 34
 
7.0%
안성시 25
 
5.1%
양주시 25
 
5.1%
연천군 21
 
4.3%
성남시 18
 
3.7%
평택시 16
 
3.3%
Other values (21) 150
30.7%

Length

2024-05-10T20:37:44.545800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 64
13.1%
파주시 58
 
11.9%
용인시 42
 
8.6%
수원시 36
 
7.4%
가평군 34
 
7.0%
안성시 25
 
5.1%
양주시 25
 
5.1%
연천군 21
 
4.3%
성남시 18
 
3.7%
평택시 16
 
3.3%
Other values (21) 150
30.7%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41474.196
Minimum41110
Maximum41830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-10T20:37:44.882912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41110
5-th percentile41110
Q141280
median41480
Q341590
95-th percentile41820
Maximum41830
Range720
Interquartile range (IQR)310

Descriptive statistics

Standard deviation206.65465
Coefficient of variation (CV)0.0049827283
Kurtosis-0.73843167
Mean41474.196
Median Absolute Deviation (MAD)120
Skewness-0.23956301
Sum20280882
Variance42706.146
MonotonicityNot monotonic
2024-05-10T20:37:45.403352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
41590 64
13.1%
41480 58
 
11.9%
41460 42
 
8.6%
41110 36
 
7.4%
41820 34
 
7.0%
41630 25
 
5.1%
41550 25
 
5.1%
41800 21
 
4.3%
41220 16
 
3.3%
41650 15
 
3.1%
Other values (27) 153
31.3%
ValueCountFrequency (%)
41110 36
7.4%
41131 4
 
0.8%
41133 6
 
1.2%
41134 1
 
0.2%
41135 6
 
1.2%
41136 1
 
0.2%
41150 6
 
1.2%
41170 8
 
1.6%
41192 3
 
0.6%
41194 3
 
0.6%
ValueCountFrequency (%)
41830 2
 
0.4%
41820 34
7.0%
41800 21
 
4.3%
41670 8
 
1.6%
41650 15
 
3.1%
41630 25
 
5.1%
41610 13
 
2.7%
41590 64
13.1%
41570 10
 
2.0%
41550 25
 
5.1%

소재지도로명주소
Text

MISSING 

Distinct479
Distinct (%)99.4%
Missing7
Missing (%)1.4%
Memory size3.9 KiB
2024-05-10T20:37:46.479185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length20.684647
Min length13

Characters and Unicode

Total characters9970
Distinct characters265
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)98.8%

Sample

1st row경기도 화성시 송산면 공룡로264번길 16
2nd row경기도 화성시 비봉면 남이로 241-5
3rd row경기도 화성시 남양읍 신남안길 184
4th row경기도 화성시 정남면 음양3길 3
5th row경기도 여주시 여흥로160번길 27
ValueCountFrequency (%)
경기도 482
 
20.2%
화성시 64
 
2.7%
파주시 58
 
2.4%
용인시 38
 
1.6%
수원시 36
 
1.5%
가평군 34
 
1.4%
처인구 28
 
1.2%
안성시 25
 
1.0%
양주시 25
 
1.0%
연천군 21
 
0.9%
Other values (926) 1574
66.0%
2024-05-10T20:37:48.298299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1903
 
19.1%
기 501
 
5.0%
도 501
 
5.0%
경 490
 
4.9%
시 440
 
4.4%
로 396
 
4.0%
1 313
 
3.1%
길 224
 
2.2%
2 217
 
2.2%
3 205
 
2.1%
Other values (255) 4780
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6253
62.7%
Space Separator 1903
 
19.1%
Decimal Number 1655
 
16.6%
Dash Punctuation 85
 
0.9%
Open Punctuation 36
 
0.4%
Close Punctuation 36
 
0.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 501
 
8.0%
도 501
 
8.0%
경 490
 
7.8%
시 440
 
7.0%
로 396
 
6.3%
길 224
 
3.6%
면 203
 
3.2%
구 146
 
2.3%
성 136
 
2.2%
번 134
 
2.1%
Other values (240) 3082
49.3%
Decimal Number
ValueCountFrequency (%)
1 313
18.9%
2 217
13.1%
3 205
12.4%
4 172
10.4%
5 151
9.1%
7 127
7.7%
6 126
7.6%
0 117
 
7.1%
9 115
 
6.9%
8 112
 
6.8%
Space Separator
ValueCountFrequency (%)
1903
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6253
62.7%
Common 3717
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 501
 
8.0%
도 501
 
8.0%
경 490
 
7.8%
시 440
 
7.0%
로 396
 
6.3%
길 224
 
3.6%
면 203
 
3.2%
구 146
 
2.3%
성 136
 
2.2%
번 134
 
2.1%
Other values (240) 3082
49.3%
Common
ValueCountFrequency (%)
1903
51.2%
1 313
 
8.4%
2 217
 
5.8%
3 205
 
5.5%
4 172
 
4.6%
5 151
 
4.1%
7 127
 
3.4%
6 126
 
3.4%
0 117
 
3.1%
9 115
 
3.1%
Other values (5) 271
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6253
62.7%
ASCII 3717
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1903
51.2%
1 313
 
8.4%
2 217
 
5.8%
3 205
 
5.5%
4 172
 
4.6%
5 151
 
4.1%
7 127
 
3.4%
6 126
 
3.4%
0 117
 
3.1%
9 115
 
3.1%
Other values (5) 271
 
7.3%
Hangul
ValueCountFrequency (%)
기 501
 
8.0%
도 501
 
8.0%
경 490
 
7.8%
시 440
 
7.0%
로 396
 
6.3%
길 224
 
3.6%
면 203
 
3.2%
구 146
 
2.3%
성 136
 
2.2%
번 134
 
2.1%
Other values (240) 3082
49.3%

소재지지번주소
Text

Distinct484
Distinct (%)99.2%
Missing1
Missing (%)0.2%
Memory size3.9 KiB
2024-05-10T20:37:49.246842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length20.555328
Min length14

Characters and Unicode

Total characters10031
Distinct characters234
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

Unique480 ?
Unique (%)98.4%

Sample

1st row경기도 화성시 송산면 쌍정리 1000번지
2nd row경기도 화성시 비봉면 유포리 306-1
3rd row경기도 화성시 남양읍 신남리 574
4th row경기도 화성시 정남면 음양리 442
5th row경기도 여주시 상동 352번지
ValueCountFrequency (%)
경기도 488
 
20.5%
화성시 64
 
2.7%
파주시 58
 
2.4%
용인시 42
 
1.8%
수원시 36
 
1.5%
가평군 34
 
1.4%
처인구 30
 
1.3%
안성시 25
 
1.0%
양주시 25
 
1.0%
연천군 21
 
0.9%
Other values (998) 1558
65.4%
2024-05-10T20:37:50.303923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1893
18.9%
도 508
 
5.1%
기 502
 
5.0%
경 488
 
4.9%
시 443
 
4.4%
- 356
 
3.5%
1 347
 
3.5%
리 300
 
3.0%
2 242
 
2.4%
동 240
 
2.4%
Other values (224) 4712
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5898
58.8%
Space Separator 1893
 
18.9%
Decimal Number 1884
 
18.8%
Dash Punctuation 356
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 508
 
8.6%
기 502
 
8.5%
경 488
 
8.3%
시 443
 
7.5%
리 300
 
5.1%
동 240
 
4.1%
면 206
 
3.5%
구 144
 
2.4%
성 128
 
2.2%
주 124
 
2.1%
Other values (212) 2815
47.7%
Decimal Number
ValueCountFrequency (%)
1 347
18.4%
2 242
12.8%
3 212
11.3%
4 200
10.6%
5 187
9.9%
6 164
8.7%
7 157
8.3%
8 129
 
6.8%
0 129
 
6.8%
9 117
 
6.2%
Space Separator
ValueCountFrequency (%)
1893
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5898
58.8%
Common 4133
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 508
 
8.6%
기 502
 
8.5%
경 488
 
8.3%
시 443
 
7.5%
리 300
 
5.1%
동 240
 
4.1%
면 206
 
3.5%
구 144
 
2.4%
성 128
 
2.2%
주 124
 
2.1%
Other values (212) 2815
47.7%
Common
ValueCountFrequency (%)
1893
45.8%
- 356
 
8.6%
1 347
 
8.4%
2 242
 
5.9%
3 212
 
5.1%
4 200
 
4.8%
5 187
 
4.5%
6 164
 
4.0%
7 157
 
3.8%
8 129
 
3.1%
Other values (2) 246
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5898
58.8%
ASCII 4133
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1893
45.8%
- 356
 
8.6%
1 347
 
8.4%
2 242
 
5.9%
3 212
 
5.1%
4 200
 
4.8%
5 187
 
4.5%
6 164
 
4.0%
7 157
 
3.8%
8 129
 
3.1%
Other values (2) 246
 
6.0%
Hangul
ValueCountFrequency (%)
도 508
 
8.6%
기 502
 
8.5%
경 488
 
8.3%
시 443
 
7.5%
리 300
 
5.1%
동 240
 
4.1%
면 206
 
3.5%
구 144
 
2.4%
성 128
 
2.2%
주 124
 
2.1%
Other values (212) 2815
47.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct487
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.479132
Minimum36.943203
Maximum38.133895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-10T20:37:50.798843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.943203
5-th percentile37.051601
Q137.231084
median37.391835
Q337.775514
95-th percentile37.977898
Maximum38.133895
Range1.1906918
Interquartile range (IQR)0.54442956

Descriptive statistics

Standard deviation0.31253163
Coefficient of variation (CV)0.008338817
Kurtosis-1.2275275
Mean37.479132
Median Absolute Deviation (MAD)0.26074202
Skewness0.252492
Sum18327.296
Variance0.097676017
MonotonicityNot monotonic
2024-05-10T20:37:51.255486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.9539137457 2
 
0.4%
37.85265215 2
 
0.4%
37.27849556 1
 
0.2%
38.133894908 1
 
0.2%
37.9877326119 1
 
0.2%
37.7131615 1
 
0.2%
37.7392213 1
 
0.2%
37.739634 1
 
0.2%
37.7388894 1
 
0.2%
37.48790119 1
 
0.2%
Other values (477) 477
97.5%
ValueCountFrequency (%)
36.94320312 1
0.2%
36.9467327654 1
0.2%
36.94767258 1
0.2%
36.949338 1
0.2%
36.9539137457 2
0.4%
36.955539 1
0.2%
36.971436 1
0.2%
36.973509 1
0.2%
36.979262 1
0.2%
36.979594 1
0.2%
ValueCountFrequency (%)
38.133894908 1
0.2%
38.1230202147 1
0.2%
38.1225570994 1
0.2%
38.1141746279 1
0.2%
38.1066909698 1
0.2%
38.10350867 1
0.2%
38.0991275389 1
0.2%
38.0835357148 1
0.2%
38.07841821 1
0.2%
38.0524670633 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct487
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05237
Minimum126.53595
Maximum127.72488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-10T20:37:51.698775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53595
5-th percentile126.71862
Q1126.85904
median127.01881
Q3127.23458
95-th percentile127.50054
Maximum127.72488
Range1.1889231
Interquartile range (IQR)0.3755399

Descriptive statistics

Standard deviation0.24493289
Coefficient of variation (CV)0.0019278104
Kurtosis-0.49930642
Mean127.05237
Median Absolute Deviation (MAD)0.1786613
Skewness0.37992271
Sum62128.611
Variance0.05999212
MonotonicityNot monotonic
2024-05-10T20:37:52.159981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2401077305 2
 
0.4%
127.0135351 2
 
0.4%
126.976192 1
 
0.2%
127.0237852164 1
 
0.2%
126.9448441626 1
 
0.2%
127.1022459 1
 
0.2%
127.0946501 1
 
0.2%
127.0530733 1
 
0.2%
127.0887653 1
 
0.2%
127.4912342 1
 
0.2%
Other values (477) 477
97.5%
ValueCountFrequency (%)
126.5359521 1
0.2%
126.5379972 1
0.2%
126.5417885 1
0.2%
126.5531545 1
0.2%
126.5538106 1
0.2%
126.554056 1
0.2%
126.5577128 1
0.2%
126.5597977 1
0.2%
126.5801928 1
0.2%
126.582031 1
0.2%
ValueCountFrequency (%)
127.7248751673 1
0.2%
127.6756553574 1
0.2%
127.6415641 1
0.2%
127.6406356 1
0.2%
127.6351478 1
0.2%
127.6212172201 1
0.2%
127.5924817 1
0.2%
127.5892491 1
0.2%
127.570834 1
0.2%
127.5674503764 1
0.2%

제한속도
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
30
457 
50
 
22
60
 
7
40
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 457
93.5%
50 22
 
4.5%
60 7
 
1.4%
40 3
 
0.6%

Length

2024-05-10T20:37:52.559478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:37:52.846254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 457
93.5%
50 22
 
4.5%
60 7
 
1.4%
40 3
 
0.6%

관리기관명
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
경기도 화성시
64 
경기도 파주시
57 
경기도 수원시
36 
경기도 가평군
34 
경기도 용인시 처인구청 교통과
30 
Other values (29)
268 

Length

Max length17
Median length7
Mean length8.6728016
Min length7

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row경기도 화성시
2nd row경기도 화성시
3rd row경기도 화성시
4th row경기도 화성시
5th row경기도 여주시청

Common Values

ValueCountFrequency (%)
경기도 화성시 64
 
13.1%
경기도 파주시 57
 
11.7%
경기도 수원시 36
 
7.4%
경기도 가평군 34
 
7.0%
경기도 용인시 처인구청 교통과 30
 
6.1%
경기도 양주시 도로과 25
 
5.1%
경기도 안성시 25
 
5.1%
경기도 연천군청 21
 
4.3%
경기도 성남시청 18
 
3.7%
경기도 평택시청 16
 
3.3%
Other values (24) 163
33.3%

Length

2024-05-10T20:37:53.102310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 489
43.7%
화성시 64
 
5.7%
파주시 57
 
5.1%
용인시 42
 
3.8%
교통과 42
 
3.8%
수원시 36
 
3.2%
가평군 34
 
3.0%
처인구청 30
 
2.7%
양주시 25
 
2.2%
도로과 25
 
2.2%
Other values (32) 276
24.6%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
031-5189-3139
64 
031-940-5792
58 
031-228-2298
36 
031-580-2284
34 
031-324-5395
29 
Other values (39)
268 

Length

Max length13
Median length12
Mean length12.257669
Min length12

Unique

Unique9 ?
Unique (%)1.8%

Sample

1st row031-5189-3139
2nd row031-5189-3139
3rd row031-5189-3139
4th row031-5189-3139
5th row031-887-2368

Common Values

ValueCountFrequency (%)
031-5189-3139 64
 
13.1%
031-940-5792 58
 
11.9%
031-228-2298 36
 
7.4%
031-580-2284 34
 
7.0%
031-324-5395 29
 
5.9%
031-8082-6731 25
 
5.1%
031-678-2813 25
 
5.1%
031-839-2292 21
 
4.3%
031-729-3672 18
 
3.7%
031-8024-4892 15
 
3.1%
Other values (34) 164
33.5%

Length

2024-05-10T20:37:53.390910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-5189-3139 64
 
13.1%
031-940-5792 58
 
11.9%
031-228-2298 36
 
7.4%
031-580-2284 34
 
7.0%
031-324-5395 29
 
5.9%
031-8082-6731 25
 
5.1%
031-678-2813 25
 
5.1%
031-839-2292 21
 
4.3%
031-729-3672 18
 
3.7%
031-538-3458 15
 
3.1%
Other values (34) 164
33.5%

관할경찰서명
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
화성서부경찰서
58 
파주경찰서
58 
용인동부경찰서
35 
가평경찰서
34 
양주경찰서
 
25
Other values (40)
279 

Length

Max length9
Median length5
Mean length5.9836401
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row화성서부경찰서
2nd row화성서부경찰서
3rd row화성서부경찰서
4th row화성서부경찰서
5th row여주경찰서

Common Values

ValueCountFrequency (%)
화성서부경찰서 58
 
11.9%
파주경찰서 58
 
11.9%
용인동부경찰서 35
 
7.2%
가평경찰서 34
 
7.0%
양주경찰서 25
 
5.1%
안성경찰서 25
 
5.1%
연천경찰서 21
 
4.3%
수원중부경찰서 17
 
3.5%
평택경찰서 16
 
3.3%
포천경찰서 15
 
3.1%
Other values (35) 185
37.8%

Length

2024-05-10T20:37:53.742532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성서부경찰서 58
 
11.9%
파주경찰서 58
 
11.9%
용인동부경찰서 35
 
7.2%
가평경찰서 34
 
7.0%
양주경찰서 25
 
5.1%
안성경찰서 25
 
5.1%
연천경찰서 21
 
4.3%
수원중부경찰서 17
 
3.5%
평택경찰서 16
 
3.3%
포천경찰서 15
 
3.1%
Other values (35) 185
37.8%

CCTV설치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size621.0 B
False
383 
True
106 
ValueCountFrequency (%)
False 383
78.3%
True 106
 
21.7%
2024-05-10T20:37:54.099810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)3.8%
Missing278
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean0.80094787
Minimum0
Maximum9
Zeros116
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-10T20:37:54.314936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3795096
Coefficient of variation (CV)1.7223463
Kurtosis12.798346
Mean0.80094787
Median Absolute Deviation (MAD)0
Skewness3.1649346
Sum169
Variance1.9030467
MonotonicityNot monotonic
2024-05-10T20:37:54.568386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 116
23.7%
1 63
 
12.9%
2 18
 
3.7%
4 4
 
0.8%
5 4
 
0.8%
3 3
 
0.6%
8 2
 
0.4%
9 1
 
0.2%
(Missing) 278
56.9%
ValueCountFrequency (%)
0 116
23.7%
1 63
12.9%
2 18
 
3.7%
3 3
 
0.6%
4 4
 
0.8%
5 4
 
0.8%
8 2
 
0.4%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
8 2
 
0.4%
5 4
 
0.8%
4 4
 
0.8%
3 3
 
0.6%
2 18
 
3.7%
1 63
12.9%
0 116
23.7%

보호구역도로폭
Text

MISSING 

Distinct55
Distinct (%)18.2%
Missing187
Missing (%)38.2%
Memory size3.9 KiB
2024-05-10T20:37:54.891878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.6788079
Min length1

Characters and Unicode

Total characters507
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)9.6%

Sample

1st row6
2nd row15
3rd row4
4th row7
5th row10
ValueCountFrequency (%)
6 57
18.9%
8 45
14.9%
4 31
 
10.3%
10 22
 
7.3%
7 18
 
6.0%
14 11
 
3.6%
3 10
 
3.3%
12 8
 
2.6%
5 8
 
2.6%
20 8
 
2.6%
Other values (45) 84
27.8%
2024-05-10T20:37:55.703640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 87
17.2%
6 74
14.6%
8 56
11.0%
4 49
9.7%
0 43
8.5%
2 43
8.5%
5 43
8.5%
3 30
 
5.9%
7 29
 
5.7%
~ 28
 
5.5%
Other values (2) 25
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 463
91.3%
Math Symbol 28
 
5.5%
Other Punctuation 16
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 87
18.8%
6 74
16.0%
8 56
12.1%
4 49
10.6%
0 43
9.3%
2 43
9.3%
5 43
9.3%
3 30
 
6.5%
7 29
 
6.3%
9 9
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 87
17.2%
6 74
14.6%
8 56
11.0%
4 49
9.7%
0 43
8.5%
2 43
8.5%
5 43
8.5%
3 30
 
5.9%
7 29
 
5.7%
~ 28
 
5.5%
Other values (2) 25
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 87
17.2%
6 74
14.6%
8 56
11.0%
4 49
9.7%
0 43
8.5%
2 43
8.5%
5 43
8.5%
3 30
 
5.9%
7 29
 
5.7%
~ 28
 
5.5%
Other values (2) 25
 
4.9%

데이터기준일자
Date

Distinct29
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2023-02-27 00:00:00
Maximum2024-01-19 00:00:00
2024-05-10T20:37:56.074856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:56.404992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

Interactions

2024-05-10T20:37:39.621372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:36.705237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:37.646824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:38.731345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:39.887638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:36.993947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:37.919903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:38.982526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:40.124853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:37.202378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:38.253927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:39.200911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:40.426951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:37.432478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:38.495899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:37:39.424582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:37:56.638463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소유형코드시군구명시군구코드위도경도제한속도관리기관명관리기관전화번호관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
장소유형코드1.0000.8240.3490.3420.3830.2190.8700.8750.8470.3150.0000.6520.815
시군구명0.8241.0001.0000.9380.9300.5971.0001.0001.0000.7160.7080.8731.000
시군구코드0.3491.0001.0000.7190.6430.3031.0001.0001.0000.4500.4550.8530.999
위도0.3420.9380.7191.0000.5810.2130.9390.9440.9520.3630.1290.7570.936
경도0.3830.9300.6430.5811.0000.0000.9310.9450.9440.0290.1740.3950.927
제한속도0.2190.5970.3030.2130.0001.0000.6010.6040.6990.3140.5330.7610.563
관리기관명0.8701.0001.0000.9390.9310.6011.0001.0000.9990.7630.7500.9001.000
관리기관전화번호0.8751.0001.0000.9440.9450.6041.0001.0000.9960.7680.6860.7651.000
관할경찰서명0.8471.0001.0000.9520.9440.6990.9990.9961.0000.7420.7730.8761.000
CCTV설치여부0.3150.7160.4500.3630.0290.3140.7630.7680.7421.0001.0000.5840.709
CCTV설치대수0.0000.7080.4550.1290.1740.5330.7500.6860.7731.0001.0000.6440.683
보호구역도로폭0.6520.8730.8530.7570.3950.7610.9000.7650.8760.5840.6441.0000.864
데이터기준일자0.8151.0000.9990.9360.9270.5631.0001.0001.0000.7090.6830.8641.000
2024-05-10T20:37:56.998719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할경찰서명제한속도관리기관전화번호관리기관명CCTV설치여부장소유형코드시군구명
관할경찰서명1.0000.4140.8410.9480.6080.7120.985
제한속도0.4141.0000.3160.3410.2090.1450.343
관리기관전화번호0.8410.3161.0000.9720.6040.7100.986
관리기관명0.9480.3410.9721.0000.6050.7110.997
CCTV설치여부0.6080.2090.6040.6051.0000.2040.605
장소유형코드0.7120.1450.7100.7110.2041.0000.712
시군구명0.9850.3430.9860.9970.6050.7121.000
2024-05-10T20:37:57.385474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드위도경도CCTV설치대수장소유형코드시군구명제한속도관리기관명관리기관전화번호관할경찰서명CCTV설치여부
시군구코드1.0000.2960.240-0.5090.3200.9770.1650.9740.9630.9620.432
위도0.2961.000-0.062-0.3450.2600.6800.1280.6830.6770.6910.277
경도0.240-0.0621.000-0.2790.2910.6570.0000.6600.6820.6660.021
CCTV설치대수-0.509-0.345-0.2791.0000.0000.3620.2580.3550.3260.4070.986
장소유형코드0.3200.2600.2910.0001.0000.7120.1450.7110.7100.7120.204
시군구명0.9770.6800.6570.3620.7121.0000.3430.9970.9860.9850.605
제한속도0.1650.1280.0000.2580.1450.3431.0000.3410.3160.4140.209
관리기관명0.9740.6830.6600.3550.7110.9970.3411.0000.9720.9480.605
관리기관전화번호0.9630.6770.6820.3260.7100.9860.3160.9721.0000.8410.604
관할경찰서명0.9620.6910.6660.4070.7120.9850.4140.9480.8411.0000.608
CCTV설치여부0.4320.2770.0210.9860.2040.6050.2090.6050.6040.6081.000

Missing values

2024-05-10T20:37:40.803096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:37:41.434053image/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.
2024-05-10T20:37:41.820735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

장소유형코드대상시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도제한속도관리기관명관리기관전화번호관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
02화성아름마을경기도화성시41590경기도 화성시 송산면 공룡로264번길 16경기도 화성시 송산면 쌍정리 1000번지37.233795126.73315430경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
11유포1리경로당경기도화성시41590경기도 화성시 비봉면 남이로 241-5경기도 화성시 비봉면 유포리 306-137.247986126.84092930경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
21신남1리경로당경기도화성시41590경기도 화성시 남양읍 신남안길 184경기도 화성시 남양읍 신남리 57437.184375126.8130130경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
31음양1리경로당경기도화성시41590경기도 화성시 정남면 음양3길 3경기도 화성시 정남면 음양리 44237.141209127.01752330경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
41여주시 노인복지회관경기도여주시41670경기도 여주시 여흥로160번길 27경기도 여주시 상동 352번지37.29362127.64063630경기도 여주시청031-887-2368여주경찰서N062023-11-15
51송산면 육일1리 경로당경기도화성시41590경기도 화성시 송산면 사강로 57-1경기도 화성시 송산면 육일리 146번지37.207609126.72461830경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
61양감면 대양4리 경로당경기도화성시41590경기도 화성시 양감면 윗생이길 6경기도 화성시 양감면 대양리 509-4번지37.088351126.94031630경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
71상신5리 경로당경기도화성시41590경기도 화성시 향남읍 칼바위길83번길 6경기도 화성시 향남읍 상신리 1229-2번지37.095907126.88434530경기도 화성시031-5189-3139화성서부경찰서Y<NA><NA>2023-11-06
81상신2리 경로당경기도화성시41590경기도 화성시 향남읍 장안로 895경기도 화성시 향남읍 상신리 944번지37.095059126.89473830경기도 화성시031-5189-3139화성서부경찰서Y<NA><NA>2023-11-06
91전곡3리 경로당경기도화성시41590경기도 화성시 서신면 전곡항로50번길 12-3경기도 화성시 서신면 전곡리 802-1번지37.187774126.65543130경기도 화성시031-5189-3139화성서부경찰서N<NA><NA>2023-11-06
장소유형코드대상시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도제한속도관리기관명관리기관전화번호관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
4791신곡노인종합복지관경기도의정부시41150경기도 의정부시 금신로297번길 38 (신곡동)경기도 의정부시 신곡동 12937.743186127.06352430경기도 의정부시031-828-4842의정부경찰서N<NA><NA>2023-02-27
4801연천군종합복지관경기도연천군41800경기도 연천군 전곡읍 전영로 11경기도 연천군 전곡읍 은대리 541-638.030636127.06705830경기도 연천군청031-839-2292연천경찰서N<NA>4~302023-11-01
4811신답리 경로당경기도연천군41800경기도 연천군 전곡읍 청연로 274경기도 연천군 전곡읍 신답리 92-238.052467127.10905530경기도 연천군청031-839-2292연천경찰서N<NA>7~122023-11-01
4821원당3리경로당경기도연천군41800경기도 연천군 장남면 장백로45번길 9경기도 연천군 장남면 원당리 1119-137.988966126.86757330경기도 연천군청031-839-2292연천경찰서N<NA><NA>2023-11-01
4832관고3동 경로당경기도이천시41500경기도 이천시 경충대로2700번길 17경기도 이천시 관고동 280-4137.279214127.43571130경기도 이천시청031-644-2382이천경찰서N06.52023-09-27
4842한나그린힐 요양원경기도이천시41500경기도 이천시 대월면 대평로 214번길 10-11경기도 이천시 대월면 초지리 474-837.222607127.49944330경기도 이천시청031-644-2381이천경찰서N06.52023-09-27
4852참사랑전문 요양원경기도이천시41500경기도 이천시 신둔면 황무로 338번길 197경기도 이천시 신둔면 용면리 17137.297051127.38162330경기도 이천시청031-644-2381이천경찰서N072023-09-27
4862조읍1리 마을회관경기도이천시41500경기도 이천시 백사면 지읍로 102번길 2경기도 이천시 백사면 조읍리 373-1037.318723127.48340330경기도 이천시청031-644-2381이천경찰서N0112023-09-27
4871용인시기흥장애인복지관경기도용인시41460경기도 용인시 기흥구 용구대로2469번길 94경기도 용인시 기흥구 보정동 1097-837.315422127.10582830경기도 용인시 기흥구청 교통과031-324-6352용인서부경찰서Y1<NA>2024-01-15
4881죽산 서부마을 경로당경기도안성시41550경기도 안성시 죽산면 죽산초교길 32경기도 안성시 죽산면 죽산리 415-937.076692127.42026130경기도 안성시031-678-2813안성경찰서N<NA>42023-09-14