Overview

Dataset statistics

Number of variables15
Number of observations1707
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)0.5%
Total size in memory210.2 KiB
Average record size in memory126.1 B

Variable types

Text4
Numeric3
Categorical8

Dataset

Description소방자동차전용구역(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=CQJBI9INU83983E9ZFSC29023471&infSeq=1

Alerts

시도명 has constant value ""Constant
Dataset has 9 (0.5%) duplicate rowsDuplicates
관할소방서전화번호 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
시군구명 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
관할소방서명 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
시군구코드 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 5 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
전용주차단위구획수 is highly imbalanced (62.5%)Imbalance

Reproduction

Analysis started2023-12-10 21:55:53.535108
Analysis finished2023-12-10 21:55:55.521117
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공동주택명
Text

Distinct286
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
2023-12-11T06:55:55.687407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.4645577
Min length2

Characters and Unicode

Total characters12742
Distinct characters230
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)2.8%

Sample

1st row가평선힐아파트
2nd row가평선힐아파트
3rd row가평주공아파트
4th row가평주공아파트
5th row가평주공아파트
ValueCountFrequency (%)
신곡 115
 
4.7%
호원 94
 
3.8%
장암 87
 
3.5%
금오 56
 
2.3%
송산 47
 
1.9%
행복한마을 35
 
1.4%
녹양 34
 
1.4%
주공2단지 31
 
1.3%
용현 30
 
1.2%
민락 29
 
1.2%
Other values (289) 1893
77.2%
2023-12-11T06:55:56.040473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
 
5.8%
지 680
 
5.3%
단 545
 
4.3%
아 484
 
3.8%
파 439
 
3.4%
트 411
 
3.2%
1 363
 
2.8%
신 313
 
2.5%
차 282
 
2.2%
공 277
 
2.2%
Other values (220) 8204
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10667
83.7%
Decimal Number 1044
 
8.2%
Space Separator 744
 
5.8%
Uppercase Letter 76
 
0.6%
Other Punctuation 68
 
0.5%
Close Punctuation 53
 
0.4%
Open Punctuation 53
 
0.4%
Lowercase Letter 20
 
0.2%
Dash Punctuation 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 680
 
6.4%
단 545
 
5.1%
아 484
 
4.5%
파 439
 
4.1%
트 411
 
3.9%
신 313
 
2.9%
차 282
 
2.6%
공 277
 
2.6%
주 266
 
2.5%
빌 229
 
2.1%
Other values (196) 6741
63.2%
Decimal Number
ValueCountFrequency (%)
1 363
34.8%
2 185
17.7%
4 99
 
9.5%
3 87
 
8.3%
5 81
 
7.8%
8 64
 
6.1%
9 49
 
4.7%
6 48
 
4.6%
7 46
 
4.4%
0 22
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
L 26
34.2%
H 19
25.0%
S 12
15.8%
P 7
 
9.2%
U 7
 
9.2%
K 5
 
6.6%
Close Punctuation
ValueCountFrequency (%)
) 47
88.7%
] 6
 
11.3%
Open Punctuation
ValueCountFrequency (%)
( 47
88.7%
[ 6
 
11.3%
Space Separator
ValueCountFrequency (%)
744
100.0%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10667
83.7%
Common 1979
 
15.5%
Latin 96
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 680
 
6.4%
단 545
 
5.1%
아 484
 
4.5%
파 439
 
4.1%
트 411
 
3.9%
신 313
 
2.9%
차 282
 
2.6%
공 277
 
2.6%
주 266
 
2.5%
빌 229
 
2.1%
Other values (196) 6741
63.2%
Common
ValueCountFrequency (%)
744
37.6%
1 363
18.3%
2 185
 
9.3%
4 99
 
5.0%
3 87
 
4.4%
5 81
 
4.1%
, 68
 
3.4%
8 64
 
3.2%
9 49
 
2.5%
6 48
 
2.4%
Other values (7) 191
 
9.7%
Latin
ValueCountFrequency (%)
L 26
27.1%
e 20
20.8%
H 19
19.8%
S 12
12.5%
P 7
 
7.3%
U 7
 
7.3%
K 5
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10667
83.7%
ASCII 2075
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
35.9%
1 363
17.5%
2 185
 
8.9%
4 99
 
4.8%
3 87
 
4.2%
5 81
 
3.9%
, 68
 
3.3%
8 64
 
3.1%
9 49
 
2.4%
6 48
 
2.3%
Other values (14) 287
 
13.8%
Hangul
ValueCountFrequency (%)
지 680
 
6.4%
단 545
 
5.1%
아 484
 
4.5%
파 439
 
4.1%
트 411
 
3.9%
신 313
 
2.9%
차 282
 
2.6%
공 277
 
2.6%
주 266
 
2.5%
빌 229
 
2.1%
Other values (196) 6741
63.2%

동번호
Real number (ℝ)

Distinct308
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.94376
Minimum1
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2023-12-11T06:55:56.177030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile101
Q1104
median131
Q3502
95-th percentile1502.7
Maximum2017
Range2016
Interquartile range (IQR)398

Descriptive statistics

Standard deviation449.79711
Coefficient of variation (CV)1.1932738
Kurtosis3.5114878
Mean376.94376
Median Absolute Deviation (MAD)70
Skewness2.0219359
Sum643443
Variance202317.44
MonotonicityNot monotonic
2023-12-11T06:55:56.294104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 136
 
8.0%
102 114
 
6.7%
103 94
 
5.5%
104 88
 
5.2%
105 80
 
4.7%
106 70
 
4.1%
107 54
 
3.2%
108 39
 
2.3%
109 33
 
1.9%
201 31
 
1.8%
Other values (298) 968
56.7%
ValueCountFrequency (%)
1 10
0.6%
2 2
 
0.1%
3 2
 
0.1%
4 1
 
0.1%
5 3
 
0.2%
6 3
 
0.2%
7 1
 
0.1%
8 2
 
0.1%
9 1
 
0.1%
10 2
 
0.1%
ValueCountFrequency (%)
2017 1
0.1%
2016 1
0.1%
2015 1
0.1%
2014 1
0.1%
2013 1
0.1%
2012 1
0.1%
2011 1
0.1%
2010 1
0.1%
2009 1
0.1%
2008 1
0.1%

전용구역위치구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
1
1333 
2
374 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1333
78.1%
2 374
 
21.9%

Length

2023-12-11T06:55:56.418962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:56.525716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1333
78.1%
2 374
 
21.9%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
경기도
1707 

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 1707
100.0%

Length

2023-12-11T06:55:56.623898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:56.731348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1707
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
의정부시
946 
단원구
347 
동두천시
212 
상록구
167 
가평군
 
35

Length

Max length4
Median length4
Mean length3.6783831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 946
55.4%
단원구 347
 
20.3%
동두천시 212
 
12.4%
상록구 167
 
9.8%
가평군 35
 
2.1%

Length

2023-12-11T06:55:56.830390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:56.940801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 946
55.4%
단원구 347
 
20.3%
동두천시 212
 
12.4%
상록구 167
 
9.8%
가평군 35
 
2.1%

시군구코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
41150
946 
41273
347 
41250
212 
41271
167 
41820
 
35

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41820
2nd row41820
3rd row41820
4th row41820
5th row41820

Common Values

ValueCountFrequency (%)
41150 946
55.4%
41273 347
 
20.3%
41250 212
 
12.4%
41271 167
 
9.8%
41820 35
 
2.1%

Length

2023-12-11T06:55:57.049214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:57.148255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41150 946
55.4%
41273 347
 
20.3%
41250 212
 
12.4%
41271 167
 
9.8%
41820 35
 
2.1%

소재지도로명주소
Text

Distinct288
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
2023-12-11T06:55:57.426371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.137668
Min length14

Characters and Unicode

Total characters30961
Distinct characters138
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)2.8%

Sample

1st row경기도 가평군 가평읍 문화로 63
2nd row경기도 가평군 가평읍 문화로 63
3rd row경기도 가평군 가평읍 가화로 142-26
4th row경기도 가평군 가평읍 가화로 142-26
5th row경기도 가평군 가평읍 가화로 142-26
ValueCountFrequency (%)
경기도 1721
24.1%
의정부시 946
 
13.2%
안산시 514
 
7.2%
단원구 347
 
4.8%
동두천시 202
 
2.8%
상록구 167
 
2.3%
오목로 93
 
1.3%
부용로 62
 
0.9%
용민로 61
 
0.9%
송양로 52
 
0.7%
Other values (351) 2990
41.8%
2023-12-11T06:55:58.052448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5448
17.6%
경 1731
 
5.6%
시 1723
 
5.6%
도 1722
 
5.6%
기 1721
 
5.6%
로 1664
 
5.4%
부 1051
 
3.4%
1 1024
 
3.3%
2 961
 
3.1%
정 958
 
3.1%
Other values (128) 12958
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19748
63.8%
Space Separator 5448
 
17.6%
Decimal Number 5144
 
16.6%
Close Punctuation 257
 
0.8%
Open Punctuation 257
 
0.8%
Dash Punctuation 107
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1731
 
8.8%
시 1723
 
8.7%
도 1722
 
8.7%
기 1721
 
8.7%
로 1664
 
8.4%
부 1051
 
5.3%
정 958
 
4.9%
의 952
 
4.8%
동 631
 
3.2%
안 560
 
2.8%
Other values (114) 7035
35.6%
Decimal Number
ValueCountFrequency (%)
1 1024
19.9%
2 961
18.7%
3 589
11.5%
4 515
10.0%
6 464
9.0%
7 363
 
7.1%
0 362
 
7.0%
5 342
 
6.6%
8 302
 
5.9%
9 222
 
4.3%
Space Separator
ValueCountFrequency (%)
5448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19748
63.8%
Common 11213
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1731
 
8.8%
시 1723
 
8.7%
도 1722
 
8.7%
기 1721
 
8.7%
로 1664
 
8.4%
부 1051
 
5.3%
정 958
 
4.9%
의 952
 
4.8%
동 631
 
3.2%
안 560
 
2.8%
Other values (114) 7035
35.6%
Common
ValueCountFrequency (%)
5448
48.6%
1 1024
 
9.1%
2 961
 
8.6%
3 589
 
5.3%
4 515
 
4.6%
6 464
 
4.1%
7 363
 
3.2%
0 362
 
3.2%
5 342
 
3.1%
8 302
 
2.7%
Other values (4) 843
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19748
63.8%
ASCII 11213
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5448
48.6%
1 1024
 
9.1%
2 961
 
8.6%
3 589
 
5.3%
4 515
 
4.6%
6 464
 
4.1%
7 363
 
3.2%
0 362
 
3.2%
5 342
 
3.1%
8 302
 
2.7%
Other values (4) 843
 
7.5%
Hangul
ValueCountFrequency (%)
경 1731
 
8.8%
시 1723
 
8.7%
도 1722
 
8.7%
기 1721
 
8.7%
로 1664
 
8.4%
부 1051
 
5.3%
정 958
 
4.9%
의 952
 
4.8%
동 631
 
3.2%
안 560
 
2.8%
Other values (114) 7035
35.6%

소재지지번주소
Text

Distinct297
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
2023-12-11T06:55:58.249311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length28.865847
Min length18

Characters and Unicode

Total characters49274
Distinct characters242
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

Unique58 ?
Unique (%)3.4%

Sample

1st row경기도 가평군 가평읍 대곡리 402-1번지 가평선힐아파트
2nd row경기도 가평군 가평읍 대곡리 402-1번지 가평선힐아파트
3rd row경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트
4th row경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트
5th row경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트
ValueCountFrequency (%)
경기도 1707
 
18.7%
의정부시 946
 
10.4%
안산시 514
 
5.6%
단원구 347
 
3.8%
신곡동 222
 
2.4%
동두천시 212
 
2.3%
상록구 167
 
1.8%
민락동 157
 
1.7%
호원동 145
 
1.6%
초지동 140
 
1.5%
Other values (555) 4563
50.0%
2023-12-11T06:55:58.554047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7413
 
15.0%
지 2415
 
4.9%
동 2001
 
4.1%
도 1779
 
3.6%
시 1742
 
3.5%
경 1724
 
3.5%
기 1709
 
3.5%
번 1690
 
3.4%
아 1295
 
2.6%
파 1260
 
2.6%
Other values (232) 26246
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34339
69.7%
Space Separator 7413
 
15.0%
Decimal Number 6665
 
13.5%
Dash Punctuation 679
 
1.4%
Other Punctuation 100
 
0.2%
Uppercase Letter 58
 
0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2415
 
7.0%
동 2001
 
5.8%
도 1779
 
5.2%
시 1742
 
5.1%
경 1724
 
5.0%
기 1709
 
5.0%
번 1690
 
4.9%
아 1295
 
3.8%
파 1260
 
3.7%
트 1228
 
3.6%
Other values (208) 17496
51.0%
Decimal Number
ValueCountFrequency (%)
1 1248
18.7%
7 1007
15.1%
4 712
10.7%
6 684
10.3%
5 649
9.7%
2 632
9.5%
3 626
9.4%
8 438
 
6.6%
0 337
 
5.1%
9 332
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 12
20.7%
P 7
12.1%
U 7
12.1%
L 7
12.1%
I 5
8.6%
V 5
8.6%
K 5
8.6%
W 5
8.6%
E 5
8.6%
Other Punctuation
ValueCountFrequency (%)
. 98
98.0%
, 2
 
2.0%
Space Separator
ValueCountFrequency (%)
7413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 679
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34339
69.7%
Common 14857
30.2%
Latin 78
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2415
 
7.0%
동 2001
 
5.8%
도 1779
 
5.2%
시 1742
 
5.1%
경 1724
 
5.0%
기 1709
 
5.0%
번 1690
 
4.9%
아 1295
 
3.8%
파 1260
 
3.7%
트 1228
 
3.6%
Other values (208) 17496
51.0%
Common
ValueCountFrequency (%)
7413
49.9%
1 1248
 
8.4%
7 1007
 
6.8%
4 712
 
4.8%
6 684
 
4.6%
- 679
 
4.6%
5 649
 
4.4%
2 632
 
4.3%
3 626
 
4.2%
8 438
 
2.9%
Other values (4) 769
 
5.2%
Latin
ValueCountFrequency (%)
e 20
25.6%
S 12
15.4%
P 7
 
9.0%
U 7
 
9.0%
L 7
 
9.0%
I 5
 
6.4%
V 5
 
6.4%
K 5
 
6.4%
W 5
 
6.4%
E 5
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34339
69.7%
ASCII 14935
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7413
49.6%
1 1248
 
8.4%
7 1007
 
6.7%
4 712
 
4.8%
6 684
 
4.6%
- 679
 
4.5%
5 649
 
4.3%
2 632
 
4.2%
3 626
 
4.2%
8 438
 
2.9%
Other values (14) 847
 
5.7%
Hangul
ValueCountFrequency (%)
지 2415
 
7.0%
동 2001
 
5.8%
도 1779
 
5.2%
시 1742
 
5.1%
경 1724
 
5.0%
기 1709
 
5.0%
번 1690
 
4.9%
아 1295
 
3.8%
파 1260
 
3.7%
트 1228
 
3.6%
Other values (208) 17496
51.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct755
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.63034
Minimum37.279666
Maximum37.926821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2023-12-11T06:55:58.673745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.279666
5-th percentile37.29785
Q137.332893
median37.735504
Q337.75076
95-th percentile37.895082
Maximum37.926821
Range0.647155
Interquartile range (IQR)0.41786657

Descriptive statistics

Standard deviation0.21516805
Coefficient of variation (CV)0.0057179406
Kurtosis-1.2123
Mean37.63034
Median Absolute Deviation (MAD)0.02109841
Skewness-0.66720135
Sum64234.99
Variance0.046297289
MonotonicityNot monotonic
2023-12-11T06:55:58.793540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.73936016 24
 
1.4%
37.72631524 21
 
1.2%
37.74861365 18
 
1.1%
37.890686 17
 
1.0%
37.886936 17
 
1.0%
37.74509558 17
 
1.0%
37.898298 16
 
0.9%
37.74125243 16
 
0.9%
37.72291495 16
 
0.9%
37.72562148 16
 
0.9%
Other values (745) 1529
89.6%
ValueCountFrequency (%)
37.279666 1
0.1%
37.279763 1
0.1%
37.279829 1
0.1%
37.280183 1
0.1%
37.280225 1
0.1%
37.288489 1
0.1%
37.288586 1
0.1%
37.288912 1
0.1%
37.28931 1
0.1%
37.289352 1
0.1%
ValueCountFrequency (%)
37.926821 3
 
0.2%
37.926659 2
 
0.1%
37.912328 6
 
0.4%
37.904661 6
 
0.4%
37.902748 2
 
0.1%
37.900021 1
 
0.1%
37.899714 3
 
0.2%
37.898418 6
 
0.4%
37.898298 16
0.9%
37.898053 9
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct761
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00309
Minimum126.7711
Maximum127.52032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2023-12-11T06:55:58.924973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7711
5-th percentile126.81112
Q1126.85043
median127.05288
Q3127.07307
95-th percentile127.11087
Maximum127.52032
Range0.749215
Interquartile range (IQR)0.2226364

Descriptive statistics

Standard deviation0.1295508
Coefficient of variation (CV)0.0010200602
Kurtosis1.6033432
Mean127.00309
Median Absolute Deviation (MAD)0.0282574
Skewness0.25965435
Sum216794.27
Variance0.01678341
MonotonicityNot monotonic
2023-12-11T06:55:59.050606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0730684 24
 
1.4%
127.0562488 21
 
1.2%
127.0811346 18
 
1.1%
127.049344 17
 
1.0%
127.053763 17
 
1.0%
127.0993102 17
 
1.0%
127.0446196 16
 
0.9%
127.050178 16
 
0.9%
127.0916299 16
 
0.9%
127.0528772 16
 
0.9%
Other values (751) 1529
89.6%
ValueCountFrequency (%)
126.771103 1
0.1%
126.77113 1
0.1%
126.771706 1
0.1%
126.772036 1
0.1%
126.77238 1
0.1%
126.772506 1
0.1%
126.772549 1
0.1%
126.774114 1
0.1%
126.774705 1
0.1%
126.775196 1
0.1%
ValueCountFrequency (%)
127.520318 1
0.1%
127.519881 1
0.1%
127.519784 1
0.1%
127.518346 1
0.1%
127.514278 1
0.1%
127.514239 1
0.1%
127.513815 1
0.1%
127.513768 1
0.1%
127.513694 1
0.1%
127.5106899 1
0.1%

전용주차단위구획수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
1
1494 
2
195 
3
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1494
87.5%
2 195
 
11.4%
3 18
 
1.1%

Length

2023-12-11T06:55:59.167927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:59.264112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1494
87.5%
2 195
 
11.4%
3 18
 
1.1%

공동주택관리소전화번호
Text

Distinct280
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
2023-12-11T06:55:59.487666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.987112
Min length11

Characters and Unicode

Total characters20462
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

Unique42 ?
Unique (%)2.5%

Sample

1st row031-581-1405
2nd row031-581-1405
3rd row031-581-0278
4th row031-581-0278
5th row031-581-0278
ValueCountFrequency (%)
031-482-0400 35
 
2.1%
031-439-8041 26
 
1.5%
031-439-6064 25
 
1.5%
031-410-0792 24
 
1.4%
031-401-8093 24
 
1.4%
031-485-2032 18
 
1.1%
031-852-0251 18
 
1.1%
031-853-2296 17
 
1.0%
031-858-0742 17
 
1.0%
031-857-4001 17
 
1.0%
Other values (270) 1486
87.1%
2023-12-11T06:55:59.836558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3414
16.7%
0 3070
15.0%
1 2721
13.3%
3 2657
13.0%
8 2137
10.4%
5 1265
 
6.2%
7 1234
 
6.0%
4 1217
 
5.9%
2 994
 
4.9%
6 986
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17048
83.3%
Dash Punctuation 3414
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3070
18.0%
1 2721
16.0%
3 2657
15.6%
8 2137
12.5%
5 1265
7.4%
7 1234
7.2%
4 1217
 
7.1%
2 994
 
5.8%
6 986
 
5.8%
9 767
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 3414
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20462
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3414
16.7%
0 3070
15.0%
1 2721
13.3%
3 2657
13.0%
8 2137
10.4%
5 1265
 
6.2%
7 1234
 
6.0%
4 1217
 
5.9%
2 994
 
4.9%
6 986
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3414
16.7%
0 3070
15.0%
1 2721
13.3%
3 2657
13.0%
8 2137
10.4%
5 1265
 
6.2%
7 1234
 
6.0%
4 1217
 
5.9%
2 994
 
4.9%
6 986
 
4.8%

관할소방서명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
의정부소방서
946 
동두천소방서
212 
원시119안전센터
140 
고잔119안전센터
121 
사동119안전센터
 
80
Other values (6)
208 

Length

Max length9
Median length6
Mean length6.7932045
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부소방서 946
55.4%
동두천소방서 212
 
12.4%
원시119안전센터 140
 
8.2%
고잔119안전센터 121
 
7.1%
사동119안전센터 80
 
4.7%
상록수출동대 51
 
3.0%
성곡119안전센터 47
 
2.8%
선부119안전센터 39
 
2.3%
가평소방서 35
 
2.1%
반월119안전센터 21
 
1.2%

Length

2023-12-11T06:55:59.969559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의정부소방서 946
55.4%
동두천소방서 212
 
12.4%
원시119안전센터 140
 
8.2%
고잔119안전센터 121
 
7.1%
사동119안전센터 80
 
4.7%
상록수출동대 51
 
3.0%
성곡119안전센터 47
 
2.8%
선부119안전센터 39
 
2.3%
가평소방서 35
 
2.1%
반월119안전센터 21
 
1.2%

관할소방서전화번호
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
031-849-7111
946 
031-830-5504
212 
031-470-7511
140 
031-470-7500
121 
031-470-7571
 
80
Other values (6)
208 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-580-0507
2nd row031-580-0507
3rd row031-580-0507
4th row031-580-0507
5th row031-580-0507

Common Values

ValueCountFrequency (%)
031-849-7111 946
55.4%
031-830-5504 212
 
12.4%
031-470-7511 140
 
8.2%
031-470-7500 121
 
7.1%
031-470-7571 80
 
4.7%
031-470-7530 51
 
3.0%
031-470-7540 47
 
2.8%
031-470-7521 39
 
2.3%
031-580-0507 35
 
2.1%
031-470-7590 21
 
1.2%

Length

2023-12-11T06:56:00.089586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-849-7111 946
55.4%
031-830-5504 212
 
12.4%
031-470-7511 140
 
8.2%
031-470-7500 121
 
7.1%
031-470-7571 80
 
4.7%
031-470-7530 51
 
3.0%
031-470-7540 47
 
2.8%
031-470-7521 39
 
2.3%
031-580-0507 35
 
2.1%
031-470-7590 21
 
1.2%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.5 KiB
2019-04-01
946 
2019-03-15
514 
2020-04-01
212 
2022-06-14
 
35

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-14
2nd row2022-06-14
3rd row2022-06-14
4th row2022-06-14
5th row2022-06-14

Common Values

ValueCountFrequency (%)
2019-04-01 946
55.4%
2019-03-15 514
30.1%
2020-04-01 212
 
12.4%
2022-06-14 35
 
2.1%

Length

2023-12-11T06:56:00.203216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:56:00.290810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-04-01 946
55.4%
2019-03-15 514
30.1%
2020-04-01 212
 
12.4%
2022-06-14 35
 
2.1%

Interactions

2023-12-11T06:55:54.949166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:54.403698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:54.677210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:55.036947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:54.493726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:54.773042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:55.122422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:54.586318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:55:54.863248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:56:00.358735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동번호전용구역위치구분코드시군구명시군구코드위도경도전용주차단위구획수관할소방서명관할소방서전화번호데이터기준일자
동번호1.0000.2070.4890.4890.3970.3870.1550.5300.5300.320
전용구역위치구분코드0.2071.0000.0560.0560.0630.0870.0070.0960.0960.105
시군구명0.4890.0561.0001.0000.9780.9040.1921.0001.0001.000
시군구코드0.4890.0561.0001.0000.9780.9040.1921.0001.0001.000
위도0.3970.0630.9780.9781.0000.8630.2030.9080.9080.904
경도0.3870.0870.9040.9040.8631.0000.2180.8790.8790.891
전용주차단위구획수0.1550.0070.1920.1920.2030.2181.0000.2910.2910.149
관할소방서명0.5300.0961.0001.0000.9080.8790.2911.0001.0001.000
관할소방서전화번호0.5300.0961.0001.0000.9080.8790.2911.0001.0001.000
데이터기준일자0.3200.1051.0001.0000.9040.8910.1491.0001.0001.000
2023-12-11T06:56:00.467877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전용구역위치구분코드관할소방서전화번호시군구명관할소방서명데이터기준일자시군구코드전용주차단위구획수
전용구역위치구분코드1.0000.0920.0680.0920.0690.0680.011
관할소방서전화번호0.0921.0000.9981.0000.9980.9980.177
시군구명0.0680.9981.0000.9981.0001.0000.147
관할소방서명0.0921.0000.9981.0000.9980.9980.177
데이터기준일자0.0690.9981.0000.9981.0001.0000.141
시군구코드0.0680.9981.0000.9981.0001.0000.147
전용주차단위구획수0.0110.1770.1470.1770.1410.1471.000
2023-12-11T06:56:00.564778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동번호위도경도전용구역위치구분코드시군구명시군구코드전용주차단위구획수관할소방서명관할소방서전화번호데이터기준일자
동번호1.000-0.134-0.1130.1590.2240.2240.0930.2580.2580.196
위도-0.1341.0000.6720.0770.7860.7860.1550.7840.7840.908
경도-0.1130.6721.0000.0930.8520.8520.1490.6960.6960.841
전용구역위치구분코드0.1590.0770.0931.0000.0680.0680.0110.0920.0920.069
시군구명0.2240.7860.8520.0681.0001.0000.1470.9980.9981.000
시군구코드0.2240.7860.8520.0681.0001.0000.1470.9980.9981.000
전용주차단위구획수0.0930.1550.1490.0110.1470.1471.0000.1770.1770.141
관할소방서명0.2580.7840.6960.0920.9980.9980.1771.0001.0000.998
관할소방서전화번호0.2580.7840.6960.0920.9980.9980.1771.0001.0000.998
데이터기준일자0.1960.9080.8410.0691.0001.0000.1410.9980.9981.000

Missing values

2023-12-11T06:55:55.268643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:55:55.452949image/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

공동주택명동번호전용구역위치구분코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도전용주차단위구획수공동주택관리소전화번호관할소방서명관할소방서전화번호데이터기준일자
0가평선힐아파트1011경기도가평군41820경기도 가평군 가평읍 문화로 63경기도 가평군 가평읍 대곡리 402-1번지 가평선힐아파트37.818853127.5102491031-581-1405가평소방서031-580-05072022-06-14
1가평선힐아파트1021경기도가평군41820경기도 가평군 가평읍 문화로 63경기도 가평군 가평읍 대곡리 402-1번지 가평선힐아파트37.818399127.5103881031-581-1405가평소방서031-580-05072022-06-14
2가평주공아파트1011경기도가평군41820경기도 가평군 가평읍 가화로 142-26경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트37.832157127.5136941031-581-0278가평소방서031-580-05072022-06-14
3가평주공아파트1041경기도가평군41820경기도 가평군 가평읍 가화로 142-26경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트37.832199127.5142391031-581-0278가평소방서031-580-05072022-06-14
4가평주공아파트1031경기도가평군41820경기도 가평군 가평읍 가화로 142-26경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트37.832041127.5142781031-581-0278가평소방서031-580-05072022-06-14
5가평주공아파트1021경기도가평군41820경기도 가평군 가평읍 가화로 142-26경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트37.832009127.5137681031-581-0278가평소방서031-580-05072022-06-14
6가평주공아파트1051경기도가평군41820경기도 가평군 가평읍 가화로 142-26경기도 가평군 가평읍 읍내리 270번지 가평읍내주공아파트37.832821127.5138151031-581-0278가평소방서031-580-05072022-06-14
7가평파란채아파트1012경기도가평군41820경기도 가평군 가평읍 가화로 223경기도 가평군 가평읍 읍내리 771-1번지 가평에이원파란채아파트37.837785127.5062741031-585-9500가평소방서031-580-05072022-06-14
8경남아너스빌1041경기도가평군41820경기도 가평군 청평면 골안길 7-28경기도 가평군 청평면 청평리 306번지 청평경남아너스빌37.741764127.4215811031-585-5538가평소방서031-580-05072022-06-14
9경남아너스빌1051경기도가평군41820경기도 가평군 청평면 골안길 7-28경기도 가평군 청평면 청평리 306번지 청평경남아너스빌37.742006127.4219361031-585-5538가평소방서031-580-05072022-06-14
공동주택명동번호전용구역위치구분코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도전용주차단위구획수공동주택관리소전화번호관할소방서명관할소방서전화번호데이터기준일자
1697회룡역 풍림아이원2021경기도의정부시41150경기도 의정부시 외미로 64경기도 의정부시 호원동 308-139번지 회룡역풍림아이원37.723664127.04251031-826-0858의정부소방서031-849-71112019-04-01
1698회룡역 풍림아이원2051경기도의정부시41150경기도 의정부시 외미로 64경기도 의정부시 호원동 308-139번지 회룡역풍림아이원37.723664127.04251031-826-0858의정부소방서031-849-71112019-04-01
1699흥화브라운1012경기도의정부시41150경기도 의정부시 평화로 271-10경기도 의정부시 호원동 441-4번지 호원동흥화브라운빌아파트37.716806127.046912031-855-0836의정부소방서031-849-71112019-04-01
1700힐스테이트 녹양역1021경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730683031-928-5073의정부소방서031-849-71112019-04-01
1701힐스테이트 녹양역1032경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730682031-928-5073의정부소방서031-849-71112019-04-01
1702힐스테이트 녹양역1052경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730682031-928-5073의정부소방서031-849-71112019-04-01
1703힐스테이트 녹양역1072경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730683031-928-5073의정부소방서031-849-71112019-04-01
1704힐스테이트 녹양역1011경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730683031-928-5073의정부소방서031-849-71112019-04-01
1705힐스테이트 녹양역1042경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730682031-928-5073의정부소방서031-849-71112019-04-01
1706힐스테이트 녹양역1062경기도의정부시41150경기도 의정부시 가금로34번길 23경기도 의정부시 가능동 50번지 힐스테이트녹양역37.73936127.0730682031-928-5073의정부소방서031-849-71112019-04-01

Duplicate rows

Most frequently occurring

공동주택명동번호전용구역위치구분코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도전용주차단위구획수공동주택관리소전화번호관할소방서명관할소방서전화번호데이터기준일자# duplicates
0건영아파트1012경기도동두천시41250경기도 동두천시 강변로296번길 19(생연동)경기도 동두천시 생연동 787-2번지 건영아파트37.897741127.0460621031-866-9246동두천소방서031-830-55042020-04-012
1부영1단지아파트1011경기도동두천시41250경기도 동두천시 생연로 72(생연동)경기도 동두천시 생연동 714-2번지 부영아파트37.898298127.0501781031-857-7801동두천소방서031-830-55042020-04-012
2부영1단지아파트1021경기도동두천시41250경기도 동두천시 생연로 72(생연동)경기도 동두천시 생연동 714-2번지 부영아파트37.898298127.0501781031-857-7801동두천소방서031-830-55042020-04-012
3부영1단지아파트1081경기도동두천시41250경기도 동두천시 생연로 72(생연동)경기도 동두천시 생연동 714-2번지 부영아파트37.898298127.0501781031-857-7801동두천소방서031-830-55042020-04-012
4부영1단지아파트1131경기도동두천시41250경기도 동두천시 생연로 72(생연동)경기도 동두천시 생연동 714-2번지 부영아파트37.898298127.0501781031-857-7801동두천소방서031-830-55042020-04-012
5부영9단지아파트9041경기도동두천시41250경기도 동두천시 동두천로 137경기도 동두천시 지행동 692-6번지 부영아파트 139호37.893693127.0538931031-857-4750동두천소방서031-830-55042020-04-012
6송내아이파크아파트1041경기도동두천시41250경기도 동두천시 강변로 160(송내동)경기도 동두천시 송내동 664-4번지 송내아이파크37.886325127.0493411031-864-7506동두천소방서031-830-55042020-04-012
7에이스4단지아파트4021경기도동두천시41250경기도 동두천시 행선로 123-49(생연동)경기도 동두천시 생연동 354번지 에이스아파트37.896635127.0613651031-865-0669동두천소방서031-830-55042020-04-012
8에코휴먼빌2차아파트1052경기도동두천시41250경기도 동두천시 경기도 이담로 161(지행동)경기도 동두천시 지행동 196 에코휴먼빌아파트 105동37.887966127.0660871031-863-9993동두천소방서031-830-55042020-04-012