Overview

Dataset statistics

Number of variables14
Number of observations144
Missing cells286
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory114.9 B

Variable types

Text9
Numeric1
Unsupported1
Categorical3

Dataset

Description길관광 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=6T98794V0223GQQ9O1P421514027&infSeq=1

Alerts

관리기관전화번호 is highly overall correlated with 총길이 and 2 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 총길이 and 2 other fieldsHigh correlation
관리기관명 is highly overall correlated with 총길이 and 2 other fieldsHigh correlation
총길이 is highly overall correlated with 관리기관전화번호 and 2 other fieldsHigh correlation
시작지점도로명주소 has 68 (47.2%) missing valuesMissing
시작지점소재지지번주소 has 9 (6.2%) missing valuesMissing
종료지점소재지도로명주소 has 65 (45.1%) missing valuesMissing
종료지점소재지지번주소 has 144 (100.0%) missing valuesMissing
길명 has unique valuesUnique
경로정보 has unique valuesUnique
종료지점소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 21:18:52.514029
Analysis finished2024-05-10 21:18:57.808411
Duration5.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

길명
Text

UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-10T21:18:58.231881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.1388889
Min length3

Characters and Unicode

Total characters1172
Distinct characters202
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)100.0%

Sample

1st row꽃편지길
2nd row공단옛길
3rd row골프장둘레길
4th row반월호수길
5th row느티나무길
ValueCountFrequency (%)
고양누리길 14
 
6.0%
등산로 11
 
4.7%
대부해솔길 11
 
4.7%
둘레길 6
 
2.6%
1코스 4
 
1.7%
2코스 4
 
1.7%
청미역사문화길 3
 
1.3%
이야기가 3
 
1.3%
있는 3
 
1.3%
평화누리길 2
 
0.9%
Other values (164) 173
73.9%
2024-05-10T21:18:59.275967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 150
 
12.8%
90
 
7.7%
스 54
 
4.6%
코 53
 
4.5%
리 45
 
3.8%
누 41
 
3.5%
산 40
 
3.4%
둘 27
 
2.3%
레 26
 
2.2%
구 19
 
1.6%
Other values (192) 627
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 979
83.5%
Space Separator 90
 
7.7%
Decimal Number 66
 
5.6%
Open Punctuation 13
 
1.1%
Close Punctuation 13
 
1.1%
Uppercase Letter 6
 
0.5%
Dash Punctuation 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 150
 
15.3%
스 54
 
5.5%
코 53
 
5.4%
리 45
 
4.6%
누 41
 
4.2%
산 40
 
4.1%
둘 27
 
2.8%
레 26
 
2.7%
구 19
 
1.9%
고 18
 
1.8%
Other values (171) 506
51.7%
Decimal Number
ValueCountFrequency (%)
1 18
27.3%
2 10
15.2%
4 9
13.6%
3 8
12.1%
6 7
 
10.6%
7 5
 
7.6%
5 5
 
7.6%
8 2
 
3.0%
0 1
 
1.5%
9 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
B 1
16.7%
D 1
16.7%
A 1
16.7%
C 1
16.7%
Z 1
16.7%
Space Separator
ValueCountFrequency (%)
90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 979
83.5%
Common 187
 
16.0%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 150
 
15.3%
스 54
 
5.5%
코 53
 
5.4%
리 45
 
4.6%
누 41
 
4.2%
산 40
 
4.1%
둘 27
 
2.8%
레 26
 
2.7%
구 19
 
1.9%
고 18
 
1.8%
Other values (171) 506
51.7%
Common
ValueCountFrequency (%)
90
48.1%
1 18
 
9.6%
( 13
 
7.0%
) 13
 
7.0%
2 10
 
5.3%
4 9
 
4.8%
3 8
 
4.3%
6 7
 
3.7%
7 5
 
2.7%
5 5
 
2.7%
Other values (5) 9
 
4.8%
Latin
ValueCountFrequency (%)
M 1
16.7%
B 1
16.7%
D 1
16.7%
A 1
16.7%
C 1
16.7%
Z 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 979
83.5%
ASCII 193
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 150
 
15.3%
스 54
 
5.5%
코 53
 
5.4%
리 45
 
4.6%
누 41
 
4.2%
산 40
 
4.1%
둘 27
 
2.8%
레 26
 
2.7%
구 19
 
1.9%
고 18
 
1.8%
Other values (171) 506
51.7%
ASCII
ValueCountFrequency (%)
90
46.6%
1 18
 
9.3%
( 13
 
6.7%
) 13
 
6.7%
2 10
 
5.2%
4 9
 
4.7%
3 8
 
4.1%
6 7
 
3.6%
7 5
 
2.6%
5 5
 
2.6%
Other values (11) 15
 
7.8%

길소개
Text

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-10T21:18:59.772293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length169
Median length52
Mean length29.923611
Min length3

Characters and Unicode

Total characters4309
Distinct characters440
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)98.6%

Sample

1st row콘크리트 숲에 피어난 서정시
2nd row공단 사이에 떠있는 작은 섬
3rd row도심 속 생태의 보고
4th row물 위로 비치는 은빛 달그림자
5th row숲, 거리로 흘러내리다
ValueCountFrequency (%)
수 30
 
3.2%
있는 17
 
1.8%
길 14
 
1.5%
있다 14
 
1.5%
따라 13
 
1.4%
길！ 10
 
1.1%
아름다운 9
 
1.0%
걷는 8
 
0.9%
순환코스 8
 
0.9%
어우러진 7
 
0.7%
Other values (670) 810
86.2%
2024-05-10T21:19:00.840205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
796
 
18.5%
길 116
 
2.7%
을 89
 
2.1%
산 84
 
1.9%
이 65
 
1.5%
는 64
 
1.5%
다 63
 
1.5%
→ 55
 
1.3%
의 51
 
1.2%
, 49
 
1.1%
Other values (430) 2877
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3251
75.4%
Space Separator 796
 
18.5%
Other Punctuation 112
 
2.6%
Math Symbol 70
 
1.6%
Decimal Number 44
 
1.0%
Lowercase Letter 14
 
0.3%
Final Punctuation 9
 
0.2%
Initial Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other values (3) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 116
 
3.6%
을 89
 
2.7%
산 84
 
2.6%
이 65
 
2.0%
는 64
 
2.0%
다 63
 
1.9%
의 51
 
1.6%
지 44
 
1.4%
리 43
 
1.3%
수 43
 
1.3%
Other values (397) 2589
79.6%
Decimal Number
ValueCountFrequency (%)
1 11
25.0%
0 10
22.7%
2 10
22.7%
5 5
11.4%
9 3
 
6.8%
3 2
 
4.5%
6 1
 
2.3%
4 1
 
2.3%
8 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 49
43.8%
. 35
31.2%
！ 14
 
12.5%
: 10
 
8.9%
＂ 2
 
1.8%
， 2
 
1.8%
Math Symbol
ValueCountFrequency (%)
→ 55
78.6%
~ 11
 
15.7%
+ 4
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
m 7
50.0%
k 5
35.7%
c 2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
Z 1
33.3%
Final Punctuation
ValueCountFrequency (%)
’ 8
88.9%
” 1
 
11.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
66.7%
“ 1
33.3%
Space Separator
ValueCountFrequency (%)
796
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎞ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3251
75.4%
Common 1041
 
24.2%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 116
 
3.6%
을 89
 
2.7%
산 84
 
2.6%
이 65
 
2.0%
는 64
 
2.0%
다 63
 
1.9%
의 51
 
1.6%
지 44
 
1.4%
리 43
 
1.3%
수 43
 
1.3%
Other values (397) 2589
79.6%
Common
ValueCountFrequency (%)
796
76.5%
→ 55
 
5.3%
, 49
 
4.7%
. 35
 
3.4%
！ 14
 
1.3%
1 11
 
1.1%
~ 11
 
1.1%
0 10
 
1.0%
: 10
 
1.0%
2 10
 
1.0%
Other values (17) 40
 
3.8%
Latin
ValueCountFrequency (%)
m 7
41.2%
k 5
29.4%
c 2
 
11.8%
D 1
 
5.9%
M 1
 
5.9%
Z 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3251
75.4%
ASCII 972
 
22.6%
Arrows 55
 
1.3%
None 18
 
0.4%
Punctuation 12
 
0.3%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
796
81.9%
, 49
 
5.0%
. 35
 
3.6%
1 11
 
1.1%
~ 11
 
1.1%
0 10
 
1.0%
: 10
 
1.0%
2 10
 
1.0%
m 7
 
0.7%
k 5
 
0.5%
Other values (14) 28
 
2.9%
Hangul
ValueCountFrequency (%)
길 116
 
3.6%
을 89
 
2.7%
산 84
 
2.6%
이 65
 
2.0%
는 64
 
2.0%
다 63
 
1.9%
의 51
 
1.6%
지 44
 
1.4%
리 43
 
1.3%
수 43
 
1.3%
Other values (397) 2589
79.6%
Arrows
ValueCountFrequency (%)
→ 55
100.0%
None
ValueCountFrequency (%)
！ 14
77.8%
＂ 2
 
11.1%
， 2
 
11.1%
Punctuation
ValueCountFrequency (%)
’ 8
66.7%
‘ 2
 
16.7%
“ 1
 
8.3%
” 1
 
8.3%
CJK Compat
ValueCountFrequency (%)
㎞ 1
100.0%

총길이
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.298333
Minimum0.7
Maximum78.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-10T21:19:01.248906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile2.045
Q15.3
median7.8
Q312.0075
95-th percentile19.47
Maximum78.3
Range77.6
Interquartile range (IQR)6.7075

Descriptive statistics

Standard deviation10.52455
Coefficient of variation (CV)1.0219663
Kurtosis24.250324
Mean10.298333
Median Absolute Deviation (MAD)3.1
Skewness4.4651955
Sum1482.96
Variance110.76615
MonotonicityNot monotonic
2024-05-10T21:19:01.714187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 7
 
4.9%
5.0 7
 
4.9%
10.0 6
 
4.2%
11.0 6
 
4.2%
13.0 5
 
3.5%
7.0 5
 
3.5%
16.0 4
 
2.8%
15.0 4
 
2.8%
9.0 3
 
2.1%
6.5 3
 
2.1%
Other values (76) 94
65.3%
ValueCountFrequency (%)
0.7 1
0.7%
1.0 2
1.4%
1.3 1
0.7%
1.6 1
0.7%
1.8 2
1.4%
2.0 1
0.7%
2.3 1
0.7%
2.4 1
0.7%
2.7 1
0.7%
3.0 2
1.4%
ValueCountFrequency (%)
78.3 1
0.7%
76.0 1
0.7%
56.0 1
0.7%
39.7 1
0.7%
39.0 1
0.7%
20.1 1
0.7%
20.0 1
0.7%
19.5 1
0.7%
19.3 1
0.7%
17.0 1
0.7%

총소요시간
Text

Distinct62
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-10T21:19:02.167453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.8541667
Min length3

Characters and Unicode

Total characters699
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)20.1%

Sample

1st row1시간
2nd row30분
3rd row5시간 30분
4th row2시간 30분
5th row1시간
ValueCountFrequency (%)
4시간 22
 
11.8%
1시간 20
 
10.8%
2시간 19
 
10.2%
3시간 15
 
8.1%
30분 12
 
6.5%
5시간 10
 
5.4%
50분 8
 
4.3%
10분 7
 
3.8%
40분 7
 
3.8%
20분 6
 
3.2%
Other values (32) 60
32.3%
2024-05-10T21:19:03.038503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 128
18.3%
간 127
18.2%
분 71
10.2%
0 68
9.7%
3 54
7.7%
2 46
 
6.6%
4 45
 
6.4%
1 44
 
6.3%
42
 
6.0%
5 38
 
5.4%
Other values (8) 36
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
47.1%
Decimal Number 307
43.9%
Space Separator 42
 
6.0%
Math Symbol 13
 
1.9%
Other Punctuation 8
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
22.1%
3 54
17.6%
2 46
15.0%
4 45
14.7%
1 44
14.3%
5 38
12.4%
6 10
 
3.3%
7 2
 
0.7%
Other Letter
ValueCountFrequency (%)
시 128
38.9%
간 127
38.6%
분 71
21.6%
약 1
 
0.3%
총 1
 
0.3%
산 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 6
75.0%
. 2
 
25.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 370
52.9%
Hangul 329
47.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
18.4%
3 54
14.6%
2 46
12.4%
4 45
12.2%
1 44
11.9%
42
11.4%
5 38
10.3%
~ 13
 
3.5%
6 10
 
2.7%
: 6
 
1.6%
Other values (2) 4
 
1.1%
Hangul
ValueCountFrequency (%)
시 128
38.9%
간 127
38.6%
분 71
21.6%
약 1
 
0.3%
총 1
 
0.3%
산 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 370
52.9%
Hangul 329
47.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 128
38.9%
간 127
38.6%
분 71
21.6%
약 1
 
0.3%
총 1
 
0.3%
산 1
 
0.3%
ASCII
ValueCountFrequency (%)
0 68
18.4%
3 54
14.6%
2 46
12.4%
4 45
12.2%
1 44
11.9%
42
11.4%
5 38
10.3%
~ 13
 
3.5%
6 10
 
2.7%
: 6
 
1.6%
Other values (2) 4
 
1.1%

시작지점명
Text

Distinct122
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-10T21:19:03.580578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length5.6736111
Min length2

Characters and Unicode

Total characters817
Distinct characters233
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

Unique105 ?
Unique (%)72.9%

Sample

1st row군포G샘병원
2nd row군포역
3rd row당정역
4th row대야미역
5th row한숲스포츠센터
ValueCountFrequency (%)
대야미역 4
 
2.5%
누에섬등대전망대입구 3
 
1.8%
가평역 3
 
1.8%
개나리교 3
 
1.8%
진위면사무소 2
 
1.2%
마을회관 2
 
1.2%
주차장 2
 
1.2%
광명보건소 2
 
1.2%
삼송역 2
 
1.2%
정발산역 2
 
1.2%
Other values (126) 138
84.7%
2024-05-10T21:19:04.429492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 25
 
3.1%
대 24
 
2.9%
리 23
 
2.8%
산 22
 
2.7%
구 20
 
2.4%
19
 
2.3%
원 17
 
2.1%
사 15
 
1.8%
입 13
 
1.6%
시 13
 
1.6%
Other values (223) 626
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 775
94.9%
Space Separator 19
 
2.3%
Decimal Number 11
 
1.3%
Open Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 25
 
3.2%
대 24
 
3.1%
리 23
 
3.0%
산 22
 
2.8%
구 20
 
2.6%
원 17
 
2.2%
사 15
 
1.9%
입 13
 
1.7%
시 13
 
1.7%
소 13
 
1.7%
Other values (211) 590
76.1%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
2 3
27.3%
4 1
 
9.1%
3 1
 
9.1%
8 1
 
9.1%
6 1
 
9.1%
5 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 775
94.9%
Common 40
 
4.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 25
 
3.2%
대 24
 
3.1%
리 23
 
3.0%
산 22
 
2.8%
구 20
 
2.6%
원 17
 
2.2%
사 15
 
1.9%
입 13
 
1.7%
시 13
 
1.7%
소 13
 
1.7%
Other values (211) 590
76.1%
Common
ValueCountFrequency (%)
19
47.5%
( 5
 
12.5%
) 5
 
12.5%
1 3
 
7.5%
2 3
 
7.5%
4 1
 
2.5%
3 1
 
2.5%
8 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
Latin
ValueCountFrequency (%)
G 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 775
94.9%
ASCII 42
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 25
 
3.2%
대 24
 
3.1%
리 23
 
3.0%
산 22
 
2.8%
구 20
 
2.6%
원 17
 
2.2%
사 15
 
1.9%
입 13
 
1.7%
시 13
 
1.7%
소 13
 
1.7%
Other values (211) 590
76.1%
ASCII
ValueCountFrequency (%)
19
45.2%
( 5
 
11.9%
) 5
 
11.9%
1 3
 
7.1%
2 3
 
7.1%
4 1
 
2.4%
3 1
 
2.4%
8 1
 
2.4%
G 1
 
2.4%
6 1
 
2.4%
Other values (2) 2
 
4.8%

시작지점도로명주소
Text

MISSING 

Distinct60
Distinct (%)78.9%
Missing68
Missing (%)47.2%
Memory size1.3 KiB
2024-05-10T21:19:05.230169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length17.973684
Min length11

Characters and Unicode

Total characters1366
Distinct characters135
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

Unique49 ?
Unique (%)64.5%

Sample

1st row경기도 군포시 군포로 591
2nd row경기도 군포시 군포역1길 27
3rd row경기도 군포시 당정역로 91
4th row경기도 군포시 대야1로28
5th row경기도 군포시 산본천로 43-6
ValueCountFrequency (%)
경기도 76
22.6%
군포시 14
 
4.2%
평택시 12
 
3.6%
안산시 10
 
3.0%
단원구 10
 
3.0%
가평군 8
 
2.4%
시흥시 6
 
1.8%
포천시 5
 
1.5%
대부황금로 5
 
1.5%
구리시 4
 
1.2%
Other values (137) 187
55.5%
2024-05-10T21:19:06.291712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
19.1%
경 80
 
5.9%
기 80
 
5.9%
도 76
 
5.6%
시 75
 
5.5%
로 54
 
4.0%
1 53
 
3.9%
2 33
 
2.4%
평 31
 
2.3%
군 26
 
1.9%
Other values (125) 597
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
63.1%
Space Separator 261
 
19.1%
Decimal Number 222
 
16.3%
Dash Punctuation 17
 
1.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 80
 
9.3%
기 80
 
9.3%
도 76
 
8.8%
시 75
 
8.7%
로 54
 
6.3%
평 31
 
3.6%
군 26
 
3.0%
포 25
 
2.9%
길 25
 
2.9%
구 20
 
2.3%
Other values (111) 370
42.9%
Decimal Number
ValueCountFrequency (%)
1 53
23.9%
2 33
14.9%
5 24
10.8%
4 22
9.9%
3 21
 
9.5%
8 18
 
8.1%
9 15
 
6.8%
6 14
 
6.3%
7 12
 
5.4%
0 10
 
4.5%
Space Separator
ValueCountFrequency (%)
261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
63.1%
Common 504
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 80
 
9.3%
기 80
 
9.3%
도 76
 
8.8%
시 75
 
8.7%
로 54
 
6.3%
평 31
 
3.6%
군 26
 
3.0%
포 25
 
2.9%
길 25
 
2.9%
구 20
 
2.3%
Other values (111) 370
42.9%
Common
ValueCountFrequency (%)
261
51.8%
1 53
 
10.5%
2 33
 
6.5%
5 24
 
4.8%
4 22
 
4.4%
3 21
 
4.2%
8 18
 
3.6%
- 17
 
3.4%
9 15
 
3.0%
6 14
 
2.8%
Other values (4) 26
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
63.1%
ASCII 504
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
51.8%
1 53
 
10.5%
2 33
 
6.5%
5 24
 
4.8%
4 22
 
4.4%
3 21
 
4.2%
8 18
 
3.6%
- 17
 
3.4%
9 15
 
3.0%
6 14
 
2.8%
Other values (4) 26
 
5.2%
Hangul
ValueCountFrequency (%)
경 80
 
9.3%
기 80
 
9.3%
도 76
 
8.8%
시 75
 
8.7%
로 54
 
6.3%
평 31
 
3.6%
군 26
 
3.0%
포 25
 
2.9%
길 25
 
2.9%
구 20
 
2.3%
Other values (111) 370
42.9%

시작지점소재지지번주소
Text

MISSING 

Distinct113
Distinct (%)83.7%
Missing9
Missing (%)6.2%
Memory size1.3 KiB
2024-05-10T21:19:07.140052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.444444
Min length11

Characters and Unicode

Total characters2625
Distinct characters146
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

Unique96 ?
Unique (%)71.1%

Sample

1st row경기도 군포시 당동 730
2nd row경기도 군포시 당동 134-1
3rd row경기도 군포시 당정동 938
4th row경기도 군포시 대야미동 229-1
5th row경기도 군포시 산본동 1146
ValueCountFrequency (%)
경기도 134
 
21.0%
이천시 17
 
2.7%
평택시 15
 
2.4%
군포시 14
 
2.2%
고양시 12
 
1.9%
단원구 11
 
1.7%
포천시 11
 
1.7%
안산시 11
 
1.7%
성남시 10
 
1.6%
덕양구 8
 
1.3%
Other values (273) 395
61.9%
2024-05-10T21:19:08.406970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
503
19.2%
도 139
 
5.3%
기 136
 
5.2%
경 135
 
5.1%
시 122
 
4.6%
1 101
 
3.8%
동 87
 
3.3%
- 86
 
3.3%
2 62
 
2.4%
리 60
 
2.3%
Other values (136) 1194
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1557
59.3%
Space Separator 503
 
19.2%
Decimal Number 479
 
18.2%
Dash Punctuation 86
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 139
 
8.9%
기 136
 
8.7%
경 135
 
8.7%
시 122
 
7.8%
동 87
 
5.6%
리 60
 
3.9%
구 46
 
3.0%
천 44
 
2.8%
산 44
 
2.8%
평 40
 
2.6%
Other values (124) 704
45.2%
Decimal Number
ValueCountFrequency (%)
1 101
21.1%
2 62
12.9%
6 50
10.4%
4 48
10.0%
7 42
8.8%
3 40
 
8.4%
9 40
 
8.4%
5 35
 
7.3%
0 34
 
7.1%
8 27
 
5.6%
Space Separator
ValueCountFrequency (%)
503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1557
59.3%
Common 1068
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 139
 
8.9%
기 136
 
8.7%
경 135
 
8.7%
시 122
 
7.8%
동 87
 
5.6%
리 60
 
3.9%
구 46
 
3.0%
천 44
 
2.8%
산 44
 
2.8%
평 40
 
2.6%
Other values (124) 704
45.2%
Common
ValueCountFrequency (%)
503
47.1%
1 101
 
9.5%
- 86
 
8.1%
2 62
 
5.8%
6 50
 
4.7%
4 48
 
4.5%
7 42
 
3.9%
3 40
 
3.7%
9 40
 
3.7%
5 35
 
3.3%
Other values (2) 61
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1557
59.3%
ASCII 1068
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
503
47.1%
1 101
 
9.5%
- 86
 
8.1%
2 62
 
5.8%
6 50
 
4.7%
4 48
 
4.5%
7 42
 
3.9%
3 40
 
3.7%
9 40
 
3.7%
5 35
 
3.3%
Other values (2) 61
 
5.7%
Hangul
ValueCountFrequency (%)
도 139
 
8.9%
기 136
 
8.7%
경 135
 
8.7%
시 122
 
7.8%
동 87
 
5.6%
리 60
 
3.9%
구 46
 
3.0%
천 44
 
2.8%
산 44
 
2.8%
평 40
 
2.6%
Other values (124) 704
45.2%

종료지점명
Text

Distinct128
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-10T21:19:08.975537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length5.75
Min length2

Characters and Unicode

Total characters828
Distinct characters231
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

Unique115 ?
Unique (%)79.9%

Sample

1st row산본IC
2nd row대성세탁소
3rd row당정역
4th row잔디광장
5th row8단지 한양아파트경기도 군포시 수리산로 40
ValueCountFrequency (%)
상천역 3
 
1.7%
광명동굴 3
 
1.7%
대부도관광안내소(방아머리공원 3
 
1.7%
주차장 3
 
1.7%
버스종점 2
 
1.2%
입구 2
 
1.2%
남문 2
 
1.2%
중리저수지 2
 
1.2%
시흥시청 2
 
1.2%
누에섬등대전망대입구 2
 
1.2%
Other values (141) 148
86.0%
2024-05-10T21:19:10.011983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
3.4%
리 25
 
3.0%
원 23
 
2.8%
역 19
 
2.3%
대 19
 
2.3%
구 19
 
2.3%
수 17
 
2.1%
산 16
 
1.9%
고 15
 
1.8%
지 14
 
1.7%
Other values (221) 633
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 775
93.6%
Space Separator 28
 
3.4%
Decimal Number 12
 
1.4%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 25
 
3.2%
원 23
 
3.0%
역 19
 
2.5%
대 19
 
2.5%
구 19
 
2.5%
수 17
 
2.2%
산 16
 
2.1%
고 15
 
1.9%
지 14
 
1.8%
시 14
 
1.8%
Other values (207) 594
76.6%
Decimal Number
ValueCountFrequency (%)
2 3
25.0%
1 2
16.7%
4 2
16.7%
3 1
 
8.3%
5 1
 
8.3%
6 1
 
8.3%
0 1
 
8.3%
8 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 775
93.6%
Common 50
 
6.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 25
 
3.2%
원 23
 
3.0%
역 19
 
2.5%
대 19
 
2.5%
구 19
 
2.5%
수 17
 
2.2%
산 16
 
2.1%
고 15
 
1.9%
지 14
 
1.8%
시 14
 
1.8%
Other values (207) 594
76.6%
Common
ValueCountFrequency (%)
28
56.0%
) 5
 
10.0%
( 5
 
10.0%
2 3
 
6.0%
1 2
 
4.0%
4 2
 
4.0%
3 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
0 1
 
2.0%
Latin
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 775
93.6%
ASCII 53
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
52.8%
) 5
 
9.4%
( 5
 
9.4%
2 3
 
5.7%
1 2
 
3.8%
4 2
 
3.8%
3 1
 
1.9%
I 1
 
1.9%
C 1
 
1.9%
5 1
 
1.9%
Other values (4) 4
 
7.5%
Hangul
ValueCountFrequency (%)
리 25
 
3.2%
원 23
 
3.0%
역 19
 
2.5%
대 19
 
2.5%
구 19
 
2.5%
수 17
 
2.2%
산 16
 
2.1%
고 15
 
1.9%
지 14
 
1.8%
시 14
 
1.8%
Other values (207) 594
76.6%

종료지점소재지도로명주소
Text

MISSING 

Distinct63
Distinct (%)79.7%
Missing65
Missing (%)45.1%
Memory size1.3 KiB
2024-05-10T21:19:10.624384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length17.949367
Min length10

Characters and Unicode

Total characters1418
Distinct characters126
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

Unique50 ?
Unique (%)63.3%

Sample

1st row경기도 군포시 산본동
2nd row경기도 군포시 흥안대로18번길 22
3rd row경기도 군포시 당정역로 91
4th row경기도 군포시 둔대동
5th row경기도 군포시 수리산로 42
ValueCountFrequency (%)
경기도 79
22.6%
군포시 14
 
4.0%
평택시 14
 
4.0%
단원구 10
 
2.9%
안산시 10
 
2.9%
가평군 8
 
2.3%
시흥시 6
 
1.7%
광명시 6
 
1.7%
대부황금로 5
 
1.4%
가학로 4
 
1.1%
Other values (136) 193
55.3%
2024-05-10T21:19:11.670498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
19.0%
기 84
 
5.9%
경 83
 
5.9%
도 79
 
5.6%
시 75
 
5.3%
로 58
 
4.1%
1 42
 
3.0%
2 35
 
2.5%
평 31
 
2.2%
군 29
 
2.0%
Other values (116) 632
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
64.2%
Space Separator 270
 
19.0%
Decimal Number 220
 
15.5%
Dash Punctuation 14
 
1.0%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 84
 
9.2%
경 83
 
9.1%
도 79
 
8.7%
시 75
 
8.2%
로 58
 
6.4%
평 31
 
3.4%
군 29
 
3.2%
길 24
 
2.6%
포 21
 
2.3%
면 21
 
2.3%
Other values (102) 405
44.5%
Decimal Number
ValueCountFrequency (%)
1 42
19.1%
2 35
15.9%
5 28
12.7%
4 23
10.5%
9 18
8.2%
7 17
7.7%
3 17
7.7%
8 14
 
6.4%
0 14
 
6.4%
6 12
 
5.5%
Space Separator
ValueCountFrequency (%)
270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
64.2%
Common 508
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 84
 
9.2%
경 83
 
9.1%
도 79
 
8.7%
시 75
 
8.2%
로 58
 
6.4%
평 31
 
3.4%
군 29
 
3.2%
길 24
 
2.6%
포 21
 
2.3%
면 21
 
2.3%
Other values (102) 405
44.5%
Common
ValueCountFrequency (%)
270
53.1%
1 42
 
8.3%
2 35
 
6.9%
5 28
 
5.5%
4 23
 
4.5%
9 18
 
3.5%
7 17
 
3.3%
3 17
 
3.3%
- 14
 
2.8%
8 14
 
2.8%
Other values (4) 30
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
64.2%
ASCII 508
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
53.1%
1 42
 
8.3%
2 35
 
6.9%
5 28
 
5.5%
4 23
 
4.5%
9 18
 
3.5%
7 17
 
3.3%
3 17
 
3.3%
- 14
 
2.8%
8 14
 
2.8%
Other values (4) 30
 
5.9%
Hangul
ValueCountFrequency (%)
기 84
 
9.2%
경 83
 
9.1%
도 79
 
8.7%
시 75
 
8.2%
로 58
 
6.4%
평 31
 
3.4%
군 29
 
3.2%
길 24
 
2.6%
포 21
 
2.3%
면 21
 
2.3%
Other values (102) 405
44.5%

종료지점소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

경로정보
Text

UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-10T21:19:12.054553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length215
Median length63.5
Mean length44.340278
Min length8

Characters and Unicode

Total characters6385
Distinct characters473
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)100.0%

Sample

1st row군포G샘병원-금정고가-금정역-중앙공원-문화예술회관-산본IC
2nd row군포역-당동지하차도-벌말노인정-가온전선-대성세탁소
3rd row당정역-골프장-기찻길-화물터미널-삼성천-삼성지하차도-골프장-신기천-당정역
4th row대야미역-갈치호수-죽암천길-영동고속도로 교각밑길-물말끔터-반월호수-잔디광장
5th row한숲스포츠센터-문화의거리-산본공고-남천병원-수도사업소-중앙도서관-8단지 한양아파트
ValueCountFrequency (%)
→ 137
 
22.5%
정상 13
 
2.1%
9
 
1.5%
입구 7
 
1.2%
등산로 4
 
0.7%
유스페이스 3
 
0.5%
개나리교 3
 
0.5%
신대2리 3
 
0.5%
남문 3
 
0.5%
마을회관 3
 
0.5%
Other values (388) 423
69.6%
2024-05-10T21:19:12.923534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
→ 531
 
8.3%
464
 
7.3%
- 223
 
3.5%
리 135
 
2.1%
산 131
 
2.1%
원 112
 
1.8%
교 95
 
1.5%
구 91
 
1.4%
대 88
 
1.4%
수 87
 
1.4%
Other values (463) 4428
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4803
75.2%
Math Symbol 570
 
8.9%
Space Separator 464
 
7.3%
Dash Punctuation 223
 
3.5%
Lowercase Letter 66
 
1.0%
Open Punctuation 62
 
1.0%
Close Punctuation 62
 
1.0%
Decimal Number 60
 
0.9%
Other Punctuation 46
 
0.7%
Uppercase Letter 27
 
0.4%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 135
 
2.8%
산 131
 
2.7%
원 112
 
2.3%
교 95
 
2.0%
구 91
 
1.9%
대 88
 
1.8%
수 87
 
1.8%
정 78
 
1.6%
장 75
 
1.6%
마 70
 
1.5%
Other values (420) 3841
80.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
22.2%
K 6
22.2%
N 4
14.8%
R 2
 
7.4%
C 2
 
7.4%
D 2
 
7.4%
I 1
 
3.7%
G 1
 
3.7%
H 1
 
3.7%
X 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 16
26.7%
1 11
18.3%
3 8
13.3%
5 7
11.7%
6 6
 
10.0%
4 4
 
6.7%
0 4
 
6.7%
8 3
 
5.0%
9 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
p 14
21.2%
m 13
19.7%
a 13
19.7%
g 11
16.7%
t 11
16.7%
c 2
 
3.0%
o 1
 
1.5%
k 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
; 24
52.2%
& 13
28.3%
. 3
 
6.5%
／ 3
 
6.5%
, 2
 
4.3%
· 1
 
2.2%
Math Symbol
ValueCountFrequency (%)
→ 531
93.2%
~ 34
 
6.0%
+ 5
 
0.9%
Space Separator
ValueCountFrequency (%)
464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4803
75.2%
Common 1489
 
23.3%
Latin 93
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 135
 
2.8%
산 131
 
2.7%
원 112
 
2.3%
교 95
 
2.0%
구 91
 
1.9%
대 88
 
1.8%
수 87
 
1.8%
정 78
 
1.6%
장 75
 
1.6%
마 70
 
1.5%
Other values (420) 3841
80.0%
Common
ValueCountFrequency (%)
→ 531
35.7%
464
31.2%
- 223
15.0%
( 62
 
4.2%
) 62
 
4.2%
~ 34
 
2.3%
; 24
 
1.6%
2 16
 
1.1%
& 13
 
0.9%
1 11
 
0.7%
Other values (14) 49
 
3.3%
Latin
ValueCountFrequency (%)
p 14
15.1%
m 13
14.0%
a 13
14.0%
g 11
11.8%
t 11
11.8%
S 6
6.5%
K 6
6.5%
N 4
 
4.3%
R 2
 
2.2%
c 2
 
2.2%
Other values (9) 11
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4803
75.2%
ASCII 1045
 
16.4%
Arrows 531
 
8.3%
None 4
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

Arrows
ValueCountFrequency (%)
→ 531
100.0%
ASCII
ValueCountFrequency (%)
464
44.4%
- 223
21.3%
( 62
 
5.9%
) 62
 
5.9%
~ 34
 
3.3%
; 24
 
2.3%
2 16
 
1.5%
p 14
 
1.3%
m 13
 
1.2%
a 13
 
1.2%
Other values (28) 120
 
11.5%
Hangul
ValueCountFrequency (%)
리 135
 
2.8%
산 131
 
2.7%
원 112
 
2.3%
교 95
 
2.0%
구 91
 
1.9%
대 88
 
1.8%
수 87
 
1.8%
정 78
 
1.6%
장 75
 
1.6%
마 70
 
1.5%
Other values (420) 3841
80.0%
None
ValueCountFrequency (%)
／ 3
75.0%
· 1
 
25.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
031-644-3082
17 
031-8024-3292
16 
031-8075-4384
14 
031-390-0668
14 
031-481-3408
11 
Other values (21)
72 

Length

Max length13
Median length12
Mean length12.229167
Min length12

Unique

Unique8 ?
Unique (%)5.6%

Sample

1st row031-390-0668
2nd row031-390-0668
3rd row031-390-0668
4th row031-390-0668
5th row031-390-0668

Common Values

ValueCountFrequency (%)
031-644-3082 17
11.8%
031-8024-3292 16
11.1%
031-8075-4384 14
9.7%
031-390-0668 14
9.7%
031-481-3408 11
 
7.6%
031-538-2039 11
 
7.6%
031-580-2486 8
 
5.6%
031-729-4302 7
 
4.9%
032-625-3577 6
 
4.2%
031-310-2344 6
 
4.2%
Other values (16) 34
23.6%

Length

2024-05-10T21:19:13.339947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-644-3082 17
11.8%
031-8024-3292 16
11.1%
031-8075-4384 14
9.7%
031-390-0668 14
9.7%
031-481-3408 11
 
7.6%
031-538-2039 11
 
7.6%
031-580-2486 8
 
5.6%
031-729-4302 7
 
4.9%
032-625-3577 6
 
4.2%
031-310-2344 6
 
4.2%
Other values (16) 34
23.6%

관리기관명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도 이천시청
17 
경기도 평택시청
16 
경기도 군포시청
14 
경기도 고양시청
14 
경기도 포천시청
11 
Other values (19)
72 

Length

Max length21
Median length8
Mean length9.0486111
Min length8

Unique

Unique7 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 이천시청 17
11.8%
경기도 평택시청 16
11.1%
경기도 군포시청 14
9.7%
경기도 고양시청 14
9.7%
경기도 포천시청 11
 
7.6%
경기도 안산시청 관광과 11
 
7.6%
경기도 성남시청 10
 
6.9%
경기도 가평군청 산림과 8
 
5.6%
경기도 시흥시청 6
 
4.2%
경기도 부천시청 6
 
4.2%
Other values (14) 31
21.5%

Length

2024-05-10T21:19:13.744257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 143
45.0%
이천시청 17
 
5.3%
평택시청 16
 
5.0%
군포시청 14
 
4.4%
고양시청 14
 
4.4%
관광과 12
 
3.8%
포천시청 11
 
3.5%
안산시청 11
 
3.5%
성남시청 10
 
3.1%
산림과 10
 
3.1%
Other values (20) 60
18.9%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022-12-15
17 
2023-01-31
16 
2023-10-18
14 
2023-03-25
14 
2023-07-07
11 
Other values (18)
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)4.2%

Sample

1st row2023-10-18
2nd row2023-10-18
3rd row2023-10-18
4th row2023-10-18
5th row2023-10-18

Common Values

ValueCountFrequency (%)
2022-12-15 17
11.8%
2023-01-31 16
11.1%
2023-10-18 14
9.7%
2023-03-25 14
9.7%
2023-07-07 11
 
7.6%
2023-01-30 11
 
7.6%
2023-09-26 10
 
6.9%
2024-02-23 8
 
5.6%
2023-08-14 6
 
4.2%
2022-09-27 6
 
4.2%
Other values (13) 31
21.5%

Length

2024-05-10T21:19:14.145872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-15 17
11.8%
2023-01-31 16
11.1%
2023-10-18 14
9.7%
2023-03-25 14
9.7%
2023-07-07 11
 
7.6%
2023-01-30 11
 
7.6%
2023-09-26 10
 
6.9%
2024-02-23 8
 
5.6%
2023-08-14 6
 
4.2%
2022-09-27 6
 
4.2%
Other values (13) 31
21.5%

Interactions

2024-05-10T21:18:55.765637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:19:14.341923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총길이총소요시간시작지점도로명주소종료지점소재지도로명주소관리기관전화번호관리기관명데이터기준일자
총길이1.0000.9920.9890.9800.9310.9280.927
총소요시간0.9921.0000.9520.9760.9630.9540.953
시작지점도로명주소0.9890.9521.0000.9821.0001.0001.000
종료지점소재지도로명주소0.9800.9760.9821.0001.0001.0001.000
관리기관전화번호0.9310.9631.0001.0001.0001.0001.000
관리기관명0.9280.9541.0001.0001.0001.0001.000
데이터기준일자0.9270.9531.0001.0001.0001.0001.000
2024-05-10T21:19:14.620885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호데이터기준일자관리기관명
관리기관전화번호1.0000.9880.992
데이터기준일자0.9881.0000.996
관리기관명0.9920.9961.000
2024-05-10T21:19:14.878808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총길이관리기관전화번호관리기관명데이터기준일자
총길이1.0000.6860.6890.694
관리기관전화번호0.6861.0000.9920.988
관리기관명0.6890.9921.0000.996
데이터기준일자0.6940.9880.9961.000

Missing values

2024-05-10T21:18:56.311335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:18:57.101085image/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.
2024-05-10T21:18:57.626412image/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

길명길소개총길이총소요시간시작지점명시작지점도로명주소시작지점소재지지번주소종료지점명종료지점소재지도로명주소종료지점소재지지번주소경로정보관리기관전화번호관리기관명데이터기준일자
0꽃편지길콘크리트 숲에 피어난 서정시3.01시간군포G샘병원경기도 군포시 군포로 591경기도 군포시 당동 730산본IC경기도 군포시 산본동<NA>군포G샘병원-금정고가-금정역-중앙공원-문화예술회관-산본IC031-390-0668경기도 군포시청2023-10-18
1공단옛길공단 사이에 떠있는 작은 섬1.630분군포역경기도 군포시 군포역1길 27경기도 군포시 당동 134-1대성세탁소경기도 군포시 흥안대로18번길 22<NA>군포역-당동지하차도-벌말노인정-가온전선-대성세탁소031-390-0668경기도 군포시청2023-10-18
2골프장둘레길도심 속 생태의 보고16.05시간 30분당정역경기도 군포시 당정역로 91경기도 군포시 당정동 938당정역경기도 군포시 당정역로 91<NA>당정역-골프장-기찻길-화물터미널-삼성천-삼성지하차도-골프장-신기천-당정역031-390-0668경기도 군포시청2023-10-18
3반월호수길물 위로 비치는 은빛 달그림자8.02시간 30분대야미역경기도 군포시 대야1로28경기도 군포시 대야미동 229-1잔디광장경기도 군포시 둔대동<NA>대야미역-갈치호수-죽암천길-영동고속도로 교각밑길-물말끔터-반월호수-잔디광장031-390-0668경기도 군포시청2023-10-18
4느티나무길숲, 거리로 흘러내리다2.71시간한숲스포츠센터경기도 군포시 산본천로 43-6경기도 군포시 산본동 11468단지 한양아파트경기도 군포시 수리산로 40경기도 군포시 수리산로 42<NA>한숲스포츠센터-문화의거리-산본공고-남천병원-수도사업소-중앙도서관-8단지 한양아파트031-390-0668경기도 군포시청2023-10-18
5도장공원길책 한 권 끼고 느리게 어슬렁거리기2.350분산본역경기도 군포시 번영로 504경기도 군포시 산본동 1231도장공원경기도 군포시 산본동 1145-7<NA>산본역-소방서사거리-도장중학교-신흥초등학교-도장공원031-390-0668경기도 군포시청2023-10-18
6조각보길짜투리땅에서 피어난 이야기들1.330분엘지자이아파트경기도 군포시 고산로151번길 26-23경기도 군포시 당정동 973-1해오름공원경기도 군포시 당동<NA>엘지자이아파트-당동배수지-당동중학교-근로자종합복지관-해오름공원031-390-0668경기도 군포시청2023-10-18
7종주코스길(도구가서길)일명 도구가서라 부르는 코스로 도덕산~구름산~가학산~서독산을 잇는 총11.5km 거리입니다. 종주라지만 주요산들의 높이가 해발 250m도 되지않아 부담없이 종주산행에 나설 수 있습니다.11.05시간철산동 야생화단지<NA>경기도 광명시 철산동 467-147안서초등학교경기도 광명시 가학로 247-55<NA>야생화단지→도덕산정상→밤일생태육교→한치고개육교→새미약수터→구름산정상→소통쉼터→가학산정상→도고내고개→안서초교02-2680-2338경기도 광명시청 공원녹지과2022-09-27
8부천둘레길3코스물길따라 걷는 길6.02시간시민의강<NA>경기도 부천시 원미구 상동 620-3굴포천<NA><NA>시민의강 → 상동호수공원 → 한국만화영상진흥원 → 굴포천032-625-3577경기도 부천시청2024-01-11
9위례사랑길도미부인 설화의 배경과 함께하는 사랑길5.01.5시간산곡천하류<NA>경기도 하남시 창우동 72번지팔당댐<NA><NA>산곡천~닭바위~연리목~도미나루~두껍바위~팔당댐031-790-6341경기도 하남시청2023-07-18
길명길소개총길이총소요시간시작지점명시작지점도로명주소시작지점소재지지번주소종료지점명종료지점소재지도로명주소종료지점소재지지번주소경로정보관리기관전화번호관리기관명데이터기준일자
134종자산 등산로해뜨는마을→정상→능선→중리저수지6.24시간해뜨는마을경기도 포천시 관인면 창동로 653-4경기도 포천시 관인면 중리 616-3중리저수지<NA><NA>해뜨는마을→정상→능선→중리저수지031-538-2039경기도 포천시청2023-07-07
135국망봉 등산로종합안내판→능선→정상→능선→대피소→임도→계곡→장암저수지9.17시간20분종합안내판<NA>경기도 포천시 이동면 장암리 40-51장암저수지<NA><NA>종합안내판→능선→정상→능선→대피소→임도→계곡→장암저수지031-538-2039경기도 포천시청2023-07-07
136청계산 등산로종합안내판→우측능선→갈마고개→정상→능선→청계저수지7.36시산청계저수지<NA>경기도 포천시 일동면 기산리 1-76청계저수지<NA><NA>종합안내판→우측능선→갈마고개→정상→능선→청계저수지031-538-2039경기도 포천시청2023-07-07
137천주산 등산로농업기술센터→능선→정상→능선→기지리6.13시간농업기술센터경기도 포천시 신북면 틀못이길 11-88경기도 포천시 신북면 기지리 647-1기지리<NA><NA>농업기술센터→능선→정상→능선→기지리031-538-2039경기도 포천시청2023-07-07
138이야기가 있는 워킹투어(A코스)동판교 도시조형물1.81시간30분개나리교경기도 성남시 분당구 판교역로 192번길 12경기도 성남시 분당구 삼평동 664개나리교경기도 성남시 분당구 판교역로 192번길 12<NA>코트야드바이메리어트 → 개나리교 → 언덕길 → 어울공원 → SK에코허브 → SK에코랩 → 유라R&amp;D → 유스페이스 → 동안육교 → 삼환하이팩스031-729-8602경기도 성남시청2023-09-26
139부천둘레길5코스누리길7.02시간베르네천<NA>경기도 부천시 원미구 춘의동 359-2들꽃세상<NA><NA>베르네천발원지→ 이한규묘 → 부천시립박물관 → 백만송이장미원→ 아기장수바위 → 벚꽃동산 → 춘의정 → 들꽃세상032-625-3577경기도 부천시청2024-01-11
140늠내길 1코스 숲길숲이 어우러진 길13.05시간시흥시청경기도 시흥시 시청로20<NA>시흥시청경기도 시흥시 시청로20<NA>시흥시청-옥녀봉-작고개-사색의 숲-만남의 숲-진덕사 입구-진덕사-가래울마을-사티골-능곡선사유적공원-시흥시청031-310-2344경기도 시흥시청2023-08-14
141연강나룻길연강나룻길7.73:30두루미테마파크<NA>경기도 연천군 군남면 선곡리 614-5중면행복복지센터경기도 연천군 중면 군중로 400 중면행정복지센터<NA>두루미테마파크~중면행복복지센터031-839-2389경기도 연천군청2023-07-03
142경기둘레길경기둘레길9~13코스76.026:30:00장남교<NA>경기도 연천군 장남면 원당리 산94-4삼보쉼터경기도 연천군 신서면 동내로 1341<NA>경기둘레길 9코스~12코스031-839-2389경기도 연천군청2023-07-03
143DMZ평화의 길DMZ평화의 길12.32:40고랑포구 역사공원경기도 연천군 장남면 장남로 270경기도 연천군 장남면 고랑포리 209-2고랑포구 역사공원경기도 연천군 장남면 장남로 270<NA>고랑포구 역사공원에서 시작해서 1.21.침투로, 000초소, 승전op를 거쳐 다시 고랑포구 역사공원으로 돌아오는 경로031-839-2148경기도 연천군청2023-07-03