Overview

Dataset statistics

Number of variables9
Number of observations322
Missing cells65
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.7 KiB
Average record size in memory75.4 B

Variable types

Categorical1
Text4
DateTime1
Numeric3

Alerts

데이터기준일자 has constant value ""Constant
정제우편번호 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
정제WGS84위도 is highly overall correlated with 정제우편번호 and 1 other fieldsHigh correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 정제우편번호 and 2 other fieldsHigh correlation
전화번호 has 5 (1.6%) missing valuesMissing
정제지번주소 has 11 (3.4%) missing valuesMissing
정제우편번호 has 15 (4.7%) missing valuesMissing
정제WGS84위도 has 17 (5.3%) missing valuesMissing
정제WGS84경도 has 17 (5.3%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:30:58.977083
Analysis finished2023-12-10 22:31:01.191095
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
파주시
42 
수원시
28 
용인시
22 
안성시
 
14
부천시
 
13
Other values (26)
203 

Length

Max length4
Median length3
Mean length3.052795
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부천시
2nd row부천시
3rd row파주시
4th row파주시
5th row포천시

Common Values

ValueCountFrequency (%)
파주시 42
 
13.0%
수원시 28
 
8.7%
용인시 22
 
6.8%
안성시 14
 
4.3%
부천시 13
 
4.0%
가평군 12
 
3.7%
여주시 12
 
3.7%
화성시 12
 
3.7%
이천시 12
 
3.7%
광주시 11
 
3.4%
Other values (21) 144
44.7%

Length

2023-12-11T07:31:01.269710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 42
 
13.0%
수원시 28
 
8.7%
용인시 22
 
6.8%
안성시 14
 
4.3%
부천시 13
 
4.0%
가평군 12
 
3.7%
여주시 12
 
3.7%
화성시 12
 
3.7%
이천시 12
 
3.7%
광주시 11
 
3.4%
Other values (21) 144
44.7%

시설명
Text

UNIQUE 

Distinct322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T07:31:01.489161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.3291925
Min length2

Characters and Unicode

Total characters2360
Distinct characters346
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)100.0%

Sample

1st row부천교육박물관
2nd row부천물박물관
3rd row헤이리예술마을
4th row인스퀘어(라임트리)
5th row전통술박물관 산사원
ValueCountFrequency (%)
경기도문화의전당 2
 
0.5%
쁘띠프랑스 2
 
0.5%
해우재 2
 
0.5%
부천교육박물관 1
 
0.3%
풀짚공예박물관 1
 
0.3%
전통민속관 1
 
0.3%
수원박물관 1
 
0.3%
고양아람누리 1
 
0.3%
삼성화재교통박물관 1
 
0.3%
가평현암농경유물박물관 1
 
0.3%
Other values (352) 352
96.4%
2023-12-11T07:31:01.892062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 170
 
7.2%
물 83
 
3.5%
박 75
 
3.2%
화 72
 
3.1%
문 62
 
2.6%
원 59
 
2.5%
술 51
 
2.2%
43
 
1.8%
이 42
 
1.8%
아 41
 
1.7%
Other values (336) 1662
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2276
96.4%
Space Separator 43
 
1.8%
Close Punctuation 10
 
0.4%
Open Punctuation 10
 
0.4%
Decimal Number 9
 
0.4%
Uppercase Letter 7
 
0.3%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 170
 
7.5%
물 83
 
3.6%
박 75
 
3.3%
화 72
 
3.2%
문 62
 
2.7%
원 59
 
2.6%
술 51
 
2.2%
이 42
 
1.8%
아 41
 
1.8%
기 38
 
1.7%
Other values (316) 1583
69.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
14.3%
B 1
14.3%
M 1
14.3%
O 1
14.3%
A 1
14.3%
U 1
14.3%
V 1
14.3%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
9 2
22.2%
1 2
22.2%
2 1
 
11.1%
0 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
b 1
33.3%
k 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2276
96.4%
Common 74
 
3.1%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 170
 
7.5%
물 83
 
3.6%
박 75
 
3.3%
화 72
 
3.2%
문 62
 
2.7%
원 59
 
2.6%
술 51
 
2.2%
이 42
 
1.8%
아 41
 
1.8%
기 38
 
1.7%
Other values (316) 1583
69.6%
Common
ValueCountFrequency (%)
43
58.1%
) 10
 
13.5%
( 10
 
13.5%
3 3
 
4.1%
9 2
 
2.7%
1 2
 
2.7%
· 1
 
1.4%
2 1
 
1.4%
0 1
 
1.4%
. 1
 
1.4%
Latin
ValueCountFrequency (%)
C 1
10.0%
B 1
10.0%
s 1
10.0%
b 1
10.0%
k 1
10.0%
M 1
10.0%
O 1
10.0%
A 1
10.0%
U 1
10.0%
V 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2276
96.4%
ASCII 83
 
3.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 170
 
7.5%
물 83
 
3.6%
박 75
 
3.3%
화 72
 
3.2%
문 62
 
2.7%
원 59
 
2.6%
술 51
 
2.2%
이 42
 
1.8%
아 41
 
1.8%
기 38
 
1.7%
Other values (316) 1583
69.6%
ASCII
ValueCountFrequency (%)
43
51.8%
) 10
 
12.0%
( 10
 
12.0%
3 3
 
3.6%
9 2
 
2.4%
1 2
 
2.4%
C 1
 
1.2%
B 1
 
1.2%
s 1
 
1.2%
b 1
 
1.2%
Other values (9) 9
 
10.8%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct305
Distinct (%)96.2%
Missing5
Missing (%)1.6%
Memory size2.6 KiB
2023-12-11T07:31:02.170114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.072555
Min length11

Characters and Unicode

Total characters3827
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

Unique296 ?
Unique (%)93.4%

Sample

1st row032-661-1282
2nd row032-625-3399
3rd row031-946-8551
4th row031-957-0896
5th row031-531-9300
ValueCountFrequency (%)
4
 
1.3%
032-320-6481 3
 
0.9%
031-1577-7766 2
 
0.6%
031-228-7603 2
 
0.6%
031-8015-8100 2
 
0.6%
031-840-9986 2
 
0.6%
031-271-9777 2
 
0.6%
031-687-0909 2
 
0.6%
031-584-8200 2
 
0.6%
031-766-8465 1
 
0.3%
Other values (295) 295
93.1%
2023-12-11T07:31:02.621266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 634
16.6%
0 624
16.3%
3 496
13.0%
1 456
11.9%
8 267
7.0%
2 253
 
6.6%
5 253
 
6.6%
7 222
 
5.8%
6 204
 
5.3%
9 194
 
5.1%
Other values (2) 224
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3149
82.3%
Dash Punctuation 634
 
16.6%
Other Punctuation 44
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 624
19.8%
3 496
15.8%
1 456
14.5%
8 267
8.5%
2 253
8.0%
5 253
8.0%
7 222
 
7.0%
6 204
 
6.5%
9 194
 
6.2%
4 180
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 634
100.0%
Other Punctuation
ValueCountFrequency (%)
* 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 634
16.6%
0 624
16.3%
3 496
13.0%
1 456
11.9%
8 267
7.0%
2 253
 
6.6%
5 253
 
6.6%
7 222
 
5.8%
6 204
 
5.3%
9 194
 
5.1%
Other values (2) 224
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 634
16.6%
0 624
16.3%
3 496
13.0%
1 456
11.9%
8 267
7.0%
2 253
 
6.6%
5 253
 
6.6%
7 222
 
5.8%
6 204
 
5.3%
9 194
 
5.1%
Other values (2) 224
 
5.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2021-03-05 00:00:00
Maximum2021-03-05 00:00:00
2023-12-11T07:31:02.748458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:02.839247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

정제도로명주소
Text

Distinct310
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T07:31:03.105884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length20.906832
Min length11

Characters and Unicode

Total characters6732
Distinct characters281
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

Unique300 ?
Unique (%)93.2%

Sample

1st row경기도 부천시 원미구 소사로 482
2nd row경기도 부천시 오정구 길주로 691 까치울정수장 관리본관 1층
3rd row경기도 파주시 탄현면 헤이리마을 59-78
4th row경기도 파주시 탄현면 헤이리마을길 21-6
5th row경기도 포천시 화현면 화동로432번길 25
ValueCountFrequency (%)
경기도 322
 
20.2%
파주시 42
 
2.6%
수원시 28
 
1.8%
탄현면 25
 
1.6%
용인시 22
 
1.4%
팔달구 17
 
1.1%
헤이리마을길 15
 
0.9%
안성시 14
 
0.9%
부천시 13
 
0.8%
처인구 12
 
0.8%
Other values (666) 1081
67.9%
2023-12-11T07:31:03.511211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1269
 
18.9%
기 346
 
5.1%
경 339
 
5.0%
도 333
 
4.9%
시 303
 
4.5%
로 249
 
3.7%
1 198
 
2.9%
2 152
 
2.3%
3 137
 
2.0%
길 121
 
1.8%
Other values (271) 3285
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4270
63.4%
Space Separator 1269
 
18.9%
Decimal Number 1087
 
16.1%
Dash Punctuation 65
 
1.0%
Open Punctuation 18
 
0.3%
Close Punctuation 18
 
0.3%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 346
 
8.1%
경 339
 
7.9%
도 333
 
7.8%
시 303
 
7.1%
로 249
 
5.8%
길 121
 
2.8%
면 101
 
2.4%
구 98
 
2.3%
주 98
 
2.3%
원 67
 
1.6%
Other values (253) 2215
51.9%
Decimal Number
ValueCountFrequency (%)
1 198
18.2%
2 152
14.0%
3 137
12.6%
4 97
8.9%
6 95
8.7%
5 94
8.6%
7 82
7.5%
9 81
7.5%
0 76
 
7.0%
8 75
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
1269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4270
63.4%
Common 2459
36.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 346
 
8.1%
경 339
 
7.9%
도 333
 
7.8%
시 303
 
7.1%
로 249
 
5.8%
길 121
 
2.8%
면 101
 
2.4%
구 98
 
2.3%
주 98
 
2.3%
원 67
 
1.6%
Other values (253) 2215
51.9%
Common
ValueCountFrequency (%)
1269
51.6%
1 198
 
8.1%
2 152
 
6.2%
3 137
 
5.6%
4 97
 
3.9%
6 95
 
3.9%
5 94
 
3.8%
7 82
 
3.3%
9 81
 
3.3%
0 76
 
3.1%
Other values (5) 178
 
7.2%
Latin
ValueCountFrequency (%)
F 1
33.3%
Ⅰ 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4270
63.4%
ASCII 2461
36.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1269
51.6%
1 198
 
8.0%
2 152
 
6.2%
3 137
 
5.6%
4 97
 
3.9%
6 95
 
3.9%
5 94
 
3.8%
7 82
 
3.3%
9 81
 
3.3%
0 76
 
3.1%
Other values (7) 180
 
7.3%
Hangul
ValueCountFrequency (%)
기 346
 
8.1%
경 339
 
7.9%
도 333
 
7.8%
시 303
 
7.1%
로 249
 
5.8%
길 121
 
2.8%
면 101
 
2.4%
구 98
 
2.3%
주 98
 
2.3%
원 67
 
1.6%
Other values (253) 2215
51.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

정제지번주소
Text

MISSING 

Distinct297
Distinct (%)95.5%
Missing11
Missing (%)3.4%
Memory size2.6 KiB
2023-12-11T07:31:03.832090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length22.07717
Min length11

Characters and Unicode

Total characters6866
Distinct characters251
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

Unique286 ?
Unique (%)92.0%

Sample

1st row경기도 부천시 춘의동 8번지
2nd row경기도 부천시 작동 산60-8번지 까치울정수장 관리본관 1층
3rd row경기도 파주시 탄현면 헤이리마을 59-78
4th row경기도 파주시 탄현면 법흥리 1652-277번지
5th row경기도 포천시 화현면 화현리 511번지
ValueCountFrequency (%)
경기도 311
 
20.6%
파주시 42
 
2.8%
수원시 28
 
1.9%
탄현면 26
 
1.7%
법흥리 22
 
1.5%
용인시 21
 
1.4%
팔달구 17
 
1.1%
안성시 14
 
0.9%
부천시 13
 
0.9%
가평군 12
 
0.8%
Other values (659) 1004
66.5%
2023-12-11T07:31:04.294891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1199
 
17.5%
기 329
 
4.8%
도 317
 
4.6%
지 314
 
4.6%
경 313
 
4.6%
번 302
 
4.4%
시 290
 
4.2%
동 197
 
2.9%
1 197
 
2.9%
- 171
 
2.5%
Other values (241) 3237
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4350
63.4%
Space Separator 1199
 
17.5%
Decimal Number 1137
 
16.6%
Dash Punctuation 171
 
2.5%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 329
 
7.6%
도 317
 
7.3%
지 314
 
7.2%
경 313
 
7.2%
번 302
 
6.9%
시 290
 
6.7%
동 197
 
4.5%
리 142
 
3.3%
면 98
 
2.3%
주 98
 
2.3%
Other values (223) 1950
44.8%
Decimal Number
ValueCountFrequency (%)
1 197
17.3%
2 153
13.5%
3 134
11.8%
6 119
10.5%
5 118
10.4%
4 89
7.8%
8 88
7.7%
0 86
7.6%
7 79
6.9%
9 74
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
1199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4350
63.4%
Common 2513
36.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 329
 
7.6%
도 317
 
7.3%
지 314
 
7.2%
경 313
 
7.2%
번 302
 
6.9%
시 290
 
6.7%
동 197
 
4.5%
리 142
 
3.3%
면 98
 
2.3%
주 98
 
2.3%
Other values (223) 1950
44.8%
Common
ValueCountFrequency (%)
1199
47.7%
1 197
 
7.8%
- 171
 
6.8%
2 153
 
6.1%
3 134
 
5.3%
6 119
 
4.7%
5 118
 
4.7%
4 89
 
3.5%
8 88
 
3.5%
0 86
 
3.4%
Other values (5) 159
 
6.3%
Latin
ValueCountFrequency (%)
F 1
33.3%
B 1
33.3%
Ⅰ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4350
63.4%
ASCII 2515
36.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1199
47.7%
1 197
 
7.8%
- 171
 
6.8%
2 153
 
6.1%
3 134
 
5.3%
6 119
 
4.7%
5 118
 
4.7%
4 89
 
3.5%
8 88
 
3.5%
0 86
 
3.4%
Other values (7) 161
 
6.4%
Hangul
ValueCountFrequency (%)
기 329
 
7.6%
도 317
 
7.3%
지 314
 
7.2%
경 313
 
7.2%
번 302
 
6.9%
시 290
 
6.7%
동 197
 
4.5%
리 142
 
3.3%
면 98
 
2.3%
주 98
 
2.3%
Other values (223) 1950
44.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

정제우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct237
Distinct (%)77.2%
Missing15
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean13961.98
Minimum10003
Maximum18608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T07:31:04.441885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10811
Q111514.5
median13575
Q316353
95-th percentile17901
Maximum18608
Range8605
Interquartile range (IQR)4838.5

Descriptive statistics

Standard deviation2585.1282
Coefficient of variation (CV)0.18515483
Kurtosis-1.3894965
Mean13961.98
Median Absolute Deviation (MAD)2527
Skewness0.19234763
Sum4286328
Variance6682887.7
MonotonicityNot monotonic
2023-12-11T07:31:04.572965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10859 20
 
6.2%
10881 7
 
2.2%
17379 5
 
1.6%
17508 4
 
1.2%
14655 4
 
1.2%
12456 3
 
0.9%
18459 3
 
0.9%
11622 3
 
0.9%
12636 3
 
0.9%
12708 3
 
0.9%
Other values (227) 252
78.3%
(Missing) 15
 
4.7%
ValueCountFrequency (%)
10003 1
0.3%
10008 1
0.3%
10029 1
0.3%
10041 2
0.6%
10072 1
0.3%
10110 1
0.3%
10129 1
0.3%
10264 1
0.3%
10392 1
0.3%
10400 1
0.3%
ValueCountFrequency (%)
18608 1
 
0.3%
18588 1
 
0.3%
18459 3
0.9%
18388 1
 
0.3%
18372 2
0.6%
18362 1
 
0.3%
18347 1
 
0.3%
18327 1
 
0.3%
18316 1
 
0.3%
17972 2
0.6%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct290
Distinct (%)95.1%
Missing17
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean37.474341
Minimum36.921133
Maximum38.107123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T07:31:04.732106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921133
5-th percentile37.041121
Q137.28405
median37.430978
Q337.714833
95-th percentile37.865109
Maximum38.107123
Range1.1859904
Interquartile range (IQR)0.4307835

Descriptive statistics

Standard deviation0.25600946
Coefficient of variation (CV)0.0068315933
Kurtosis-0.69610422
Mean37.474341
Median Absolute Deviation (MAD)0.18135437
Skewness0.12823418
Sum11429.674
Variance0.065540844
MonotonicityNot monotonic
2023-12-11T07:31:04.896852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5031636955 4
 
1.2%
37.2667987372 2
 
0.6%
37.7862072911 2
 
0.6%
37.2007035756 2
 
0.6%
37.7148334865 2
 
0.6%
36.9911212708 2
 
0.6%
37.2740690436 2
 
0.6%
37.8242546008 2
 
0.6%
37.2029621951 2
 
0.6%
37.2735973684 2
 
0.6%
Other values (280) 283
87.9%
(Missing) 17
 
5.3%
ValueCountFrequency (%)
36.9211325623 1
0.3%
36.9214457112 1
0.3%
36.9374794635 1
0.3%
36.9700340047 1
0.3%
36.9812600532 1
0.3%
36.9817904683 1
0.3%
36.989951482 1
0.3%
36.9911212708 2
0.6%
37.006006318 1
0.3%
37.0113686054 1
0.3%
ValueCountFrequency (%)
38.1071229181 1
0.3%
38.1063165987 1
0.3%
38.0732222801 1
0.3%
38.0683427258 1
0.3%
38.0539684859 1
0.3%
37.9878944032 1
0.3%
37.944593418 1
0.3%
37.9234463151 1
0.3%
37.9143281063 1
0.3%
37.9059943775 1
0.3%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct290
Distinct (%)95.1%
Missing17
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean127.058
Minimum126.53665
Maximum127.73733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T07:31:05.047325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53665
5-th percentile126.68679
Q1126.85134
median127.03157
Q3127.2365
95-th percentile127.51848
Maximum127.73733
Range1.2006771
Interquartile range (IQR)0.38516076

Descriptive statistics

Standard deviation0.26627935
Coefficient of variation (CV)0.0020957308
Kurtosis-0.49552806
Mean127.058
Median Absolute Deviation (MAD)0.19005735
Skewness0.35798712
Sum38752.689
Variance0.070904693
MonotonicityNot monotonic
2023-12-11T07:31:05.191427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7960837045 4
 
1.2%
127.1076441891 2
 
0.6%
127.0315714757 2
 
0.6%
127.0750146691 2
 
0.6%
127.490276446 2
 
0.6%
127.1140767512 2
 
0.6%
127.425926965 2
 
0.6%
127.5066699979 2
 
0.6%
127.0332619715 2
 
0.6%
127.0113164151 2
 
0.6%
Other values (280) 283
87.9%
(Missing) 17
 
5.3%
ValueCountFrequency (%)
126.5366528586 1
0.3%
126.53872715 1
0.3%
126.5744440771 1
0.3%
126.5870200838 1
0.3%
126.6023925616 1
0.3%
126.6301183489 1
0.3%
126.6314801376 1
0.3%
126.6442704429 1
0.3%
126.6690218496 1
0.3%
126.6838500957 1
0.3%
ValueCountFrequency (%)
127.7373299931 1
0.3%
127.7081456066 1
0.3%
127.6881568938 1
0.3%
127.6663831773 1
0.3%
127.6572227621 1
0.3%
127.6554257107 1
0.3%
127.6533753591 1
0.3%
127.6523382709 1
0.3%
127.6406562309 1
0.3%
127.6228994282 1
0.3%

Interactions

2023-12-11T07:31:00.613905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.125836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.374662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.689243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.206471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.453898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.768531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.290743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:00.531179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:31:05.304371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명정제우편번호정제WGS84위도정제WGS84경도
시군명1.0000.9980.9570.956
정제우편번호0.9981.0000.8940.877
정제WGS84위도0.9570.8941.0000.667
정제WGS84경도0.9560.8770.6671.000
2023-12-11T07:31:05.405457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제우편번호정제WGS84위도정제WGS84경도시군명
정제우편번호1.000-0.9070.3370.896
정제WGS84위도-0.9071.000-0.3070.664
정제WGS84경도0.337-0.3071.0000.663
시군명0.8960.6640.6631.000

Missing values

2023-12-11T07:31:00.892580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:31:01.023273image/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.
2023-12-11T07:31:01.124550image/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

시군명시설명전화번호데이터기준일자정제도로명주소정제지번주소정제우편번호정제WGS84위도정제WGS84경도
0부천시부천교육박물관032-661-12822021-03-05경기도 부천시 원미구 소사로 482경기도 부천시 춘의동 8번지1465537.503164126.796084
1부천시부천물박물관032-625-33992021-03-05경기도 부천시 오정구 길주로 691 까치울정수장 관리본관 1층경기도 부천시 작동 산60-8번지 까치울정수장 관리본관 1층1447737.507292126.8193
2파주시헤이리예술마을031-946-85512021-03-05경기도 파주시 탄현면 헤이리마을 59-78경기도 파주시 탄현면 헤이리마을 59-78<NA><NA><NA>
3파주시인스퀘어(라임트리)031-957-08962021-03-05경기도 파주시 탄현면 헤이리마을길 21-6경기도 파주시 탄현면 법흥리 1652-277번지1085937.788095126.696571
4포천시전통술박물관 산사원031-531-93002021-03-05경기도 포천시 화현면 화동로432번길 25경기도 포천시 화현면 화현리 511번지1112337.905994127.309906
5안성시해닮***-****-****2021-03-05경기도 안성시 금광면 배티로 781경기도 안성시 금광면 개산리 204-10번지1753636.98179127.305444
6용인시한택식물원031-333-35582021-03-05경기도 용인시 처인구 백암면 한택로 2경기도 용인시 처인구 백암면 옥산리 365번지1718337.094476127.40686
7용인시용인 대장금 파크031-337-32412021-03-05경기도 용인시 처인구 드라마길 25<NA><NA><NA><NA>
8가평군쁘띠프랑스031-584-82002021-03-05경기도 가평군 청평면 호반로 1063경기도 가평군 청평면 고성리 616-2번지1245637.714833127.490276
9파주시세계민속악기박물관031-946-98382021-03-05경기도 파주시 탄현면 헤이리마을길63-26경기도 파주시 탄현면 법흥리 1652-213번지1085937.789511126.699372
시군명시설명전화번호데이터기준일자정제도로명주소정제지번주소정제우편번호정제WGS84위도정제WGS84경도
312화성시홍사용문학관031-8015-08802021-03-05경기도 화성시 노작로 206경기도 화성시 석우동 63번지1845937.205366127.075507
313화성시유앤아이센터031-267-88002021-03-05경기도 화성시 태안로 145경기도 화성시 병점동 734번지1837237.202962127.033262
314화성시화성아트홀031-1588-52342021-03-05경기도 화성시 태안로 145경기도 화성시 병점동 734번지1837237.202962127.033262
315양주시양주시립장욱진미술관<NA>2021-03-05경기도 양주시 장흥면 권율로 193경기도 양주시 장흥면 석현리 산1번지1151937.732818126.949255
316가평군청심평화월드센터031-589-52002021-03-05경기도 가평군 설악면 미사리로 258 청심평화월드센터경기도 가평군 설악면 송산리 583-2번지 청심평화월드센터1246137.683844127.520437
317의왕시원터아트홀031-444-88372021-03-05경기도 의왕시 원터아랫길 89 원뮤직악기사 2층 원터아트홀경기도 의왕시 청계동 192번지 원뮤직악기사 2층 원터아트홀1601137.394978127.022539
318구리시구리아트홀031-550-88002021-03-05경기도 구리시 아차산로 453경기도 구리시 교문동 390번지1195437.595547127.12986
319용인시뮤지엄그라운드 미술관070-4245-30202021-03-05경기도 용인시 수지구 샘말로 122(고기동)경기도 용인시 수지구 고기동 400-5번지1680037.356448127.044091
320동두천시경기북부어린이박물관031-860-28602021-03-05경기도 동두천시 평화로 2910번길 46경기도 동두천시 상봉암동 162번지1130737.944593127.06445
321수원시해우재031-271-97772021-03-05경기도 수원시 장안구 장안로458번길 9경기도 수원시 장안구 이목동 186-3번지1620937.319228126.978043