Overview

Dataset statistics

Number of variables14
Number of observations39
Missing cells74
Missing cells (%)13.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory118.4 B

Variable types

Categorical7
Text5
Numeric2

Dataset

Description겨울철 한파 대비 온기나눔쉼터 현황으로 관리번호, 설치장소명, 소재지도로명주소, 소재지지번주소, 위도, 경도, 당해년도 운영시작일자, 당해또는 차년도 운영종료일자, 관리기관, 관리기관 전화번호 등의 정보를 제공
URLhttps://www.data.go.kr/data/15043353/fileData.do

Alerts

기준년도 has constant value ""Constant
소재지도로명주소 has constant value ""Constant
당해년도 운영시작일자 has constant value ""Constant
당해 또는 차년도 운영종료일자 has constant value ""Constant
관리기관 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
읍면동명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
소재지도로명주소 has 38 (97.4%) missing valuesMissing
비고 has 36 (92.3%) missing valuesMissing
관리번호 has unique valuesUnique
설치장소명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:10:39.060923
Analysis finished2023-12-11 23:10:40.098627
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2021
39 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 39
100.0%

Length

2023-12-12T08:10:40.161692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:10:40.264456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 39
100.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
부발읍
8 
모가면
6 
백사면
5 
신둔면
5 
설성면
4 
Other values (6)
11 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row대월면
2nd row대월면
3rd row대월면
4th row모가면
5th row모가면

Common Values

ValueCountFrequency (%)
부발읍 8
20.5%
모가면 6
15.4%
백사면 5
12.8%
신둔면 5
12.8%
설성면 4
10.3%
대월면 3
 
7.7%
사음동 3
 
7.7%
율현동 2
 
5.1%
증일동 1
 
2.6%
증포동 1
 
2.6%

Length

2023-12-12T08:10:40.367848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부발읍 8
20.5%
모가면 6
15.4%
백사면 5
12.8%
신둔면 5
12.8%
설성면 4
10.3%
대월면 3
 
7.7%
사음동 3
 
7.7%
율현동 2
 
5.1%
증일동 1
 
2.6%
증포동 1
 
2.6%

관리번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T08:10:40.641514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters273
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row대월면-001
2nd row대월면-002
3rd row대월면-003
4th row모가면-001
5th row모가면-002
ValueCountFrequency (%)
대월면-001 1
 
2.6%
부발읍-007 1
 
2.6%
사음동-001 1
 
2.6%
사음동-002 1
 
2.6%
사음동-003 1
 
2.6%
설성면-001 1
 
2.6%
설성면-002 1
 
2.6%
설성면-003 1
 
2.6%
설성면-004 1
 
2.6%
부발읍-008 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T08:10:40.988322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
28.6%
- 39
14.3%
면 23
 
8.4%
1 9
 
3.3%
발 8
 
2.9%
읍 8
 
2.9%
사 8
 
2.9%
2 8
 
2.9%
3 8
 
2.9%
동 8
 
2.9%
Other values (23) 76
27.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
42.9%
Other Letter 117
42.9%
Dash Punctuation 39
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 23
19.7%
발 8
 
6.8%
읍 8
 
6.8%
사 8
 
6.8%
동 8
 
6.8%
부 8
 
6.8%
모 6
 
5.1%
가 6
 
5.1%
백 5
 
4.3%
신 5
 
4.3%
Other values (13) 32
27.4%
Decimal Number
ValueCountFrequency (%)
0 78
66.7%
1 9
 
7.7%
2 8
 
6.8%
3 8
 
6.8%
4 6
 
5.1%
5 4
 
3.4%
6 2
 
1.7%
7 1
 
0.9%
8 1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
57.1%
Hangul 117
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 23
19.7%
발 8
 
6.8%
읍 8
 
6.8%
사 8
 
6.8%
동 8
 
6.8%
부 8
 
6.8%
모 6
 
5.1%
가 6
 
5.1%
백 5
 
4.3%
신 5
 
4.3%
Other values (13) 32
27.4%
Common
ValueCountFrequency (%)
0 78
50.0%
- 39
25.0%
1 9
 
5.8%
2 8
 
5.1%
3 8
 
5.1%
4 6
 
3.8%
5 4
 
2.6%
6 2
 
1.3%
7 1
 
0.6%
8 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
57.1%
Hangul 117
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
50.0%
- 39
25.0%
1 9
 
5.8%
2 8
 
5.1%
3 8
 
5.1%
4 6
 
3.8%
5 4
 
2.6%
6 2
 
1.3%
7 1
 
0.6%
8 1
 
0.6%
Hangul
ValueCountFrequency (%)
면 23
19.7%
발 8
 
6.8%
읍 8
 
6.8%
사 8
 
6.8%
동 8
 
6.8%
부 8
 
6.8%
모 6
 
5.1%
가 6
 
5.1%
백 5
 
4.3%
신 5
 
4.3%
Other values (13) 32
27.4%

설치장소명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T08:10:41.213541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length11.74359
Min length4

Characters and Unicode

Total characters458
Distinct characters96
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

Unique39 ?
Unique (%)100.0%

Sample

1st row초지리 버스정류장
2nd row초지2리 버스정류장
3rd row대월농협 버스정류장
4th row송곡리 버스정류장(서경리방면)
5th row모가면사무소 버스정류장
ValueCountFrequency (%)
버스정류장 30
35.7%
앞 6
 
7.1%
장능3리 2
 
2.4%
사음2동도예촌 2
 
2.4%
sk하이닉스 2
 
2.4%
부발역 2
 
2.4%
버스정류장1 2
 
2.4%
버스정류장2 2
 
2.4%
신둔도예촌역 1
 
1.2%
다산고등학교 1
 
1.2%
Other values (34) 34
40.5%
2023-12-12T08:10:41.583270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
10.5%
장 39
 
8.5%
스 38
 
8.3%
정 37
 
8.1%
류 37
 
8.1%
버 36
 
7.9%
리 19
 
4.1%
아 8
 
1.7%
1 7
 
1.5%
2 7
 
1.5%
Other values (86) 182
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
83.2%
Space Separator 48
 
10.5%
Decimal Number 16
 
3.5%
Uppercase Letter 6
 
1.3%
Other Punctuation 3
 
0.7%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 39
 
10.2%
스 38
 
10.0%
정 37
 
9.7%
류 37
 
9.7%
버 36
 
9.4%
리 19
 
5.0%
아 8
 
2.1%
사 7
 
1.8%
트 6
 
1.6%
지 6
 
1.6%
Other values (75) 148
38.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
K 2
33.3%
O 1
16.7%
B 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 7
43.8%
2 7
43.8%
3 2
 
12.5%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
83.2%
Common 71
 
15.5%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 39
 
10.2%
스 38
 
10.0%
정 37
 
9.7%
류 37
 
9.7%
버 36
 
9.4%
리 19
 
5.0%
아 8
 
2.1%
사 7
 
1.8%
트 6
 
1.6%
지 6
 
1.6%
Other values (75) 148
38.8%
Common
ValueCountFrequency (%)
48
67.6%
1 7
 
9.9%
2 7
 
9.9%
. 3
 
4.2%
3 2
 
2.8%
) 2
 
2.8%
( 2
 
2.8%
Latin
ValueCountFrequency (%)
S 2
33.3%
K 2
33.3%
O 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
83.2%
ASCII 77
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
62.3%
1 7
 
9.1%
2 7
 
9.1%
. 3
 
3.9%
3 2
 
2.6%
S 2
 
2.6%
) 2
 
2.6%
K 2
 
2.6%
( 2
 
2.6%
O 1
 
1.3%
Hangul
ValueCountFrequency (%)
장 39
 
10.2%
스 38
 
10.0%
정 37
 
9.7%
류 37
 
9.7%
버 36
 
9.4%
리 19
 
5.0%
아 8
 
2.1%
사 7
 
1.8%
트 6
 
1.6%
지 6
 
1.6%
Other values (75) 148
38.8%

소재지도로명주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing38
Missing (%)97.4%
Memory size444.0 B
2023-12-12T08:10:41.730532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row경기도 이천시 남천로 31
ValueCountFrequency (%)
경기도 1
25.0%
이천시 1
25.0%
남천로 1
25.0%
31 1
25.0%
2023-12-12T08:10:41.997982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
21.4%
천 2
14.3%
경 1
 
7.1%
기 1
 
7.1%
도 1
 
7.1%
이 1
 
7.1%
시 1
 
7.1%
남 1
 
7.1%
로 1
 
7.1%
3 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
64.3%
Space Separator 3
 
21.4%
Decimal Number 2
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 2
22.2%
경 1
11.1%
기 1
11.1%
도 1
11.1%
이 1
11.1%
시 1
11.1%
남 1
11.1%
로 1
11.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
64.3%
Common 5
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 2
22.2%
경 1
11.1%
기 1
11.1%
도 1
11.1%
이 1
11.1%
시 1
11.1%
남 1
11.1%
로 1
11.1%
Common
ValueCountFrequency (%)
3
60.0%
3 1
 
20.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
64.3%
ASCII 5
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
60.0%
3 1
 
20.0%
1 1
 
20.0%
Hangul
ValueCountFrequency (%)
천 2
22.2%
경 1
11.1%
기 1
11.1%
도 1
11.1%
이 1
11.1%
시 1
11.1%
남 1
11.1%
로 1
11.1%

소재지지번주소
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T08:10:42.254145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.410256
Min length15

Characters and Unicode

Total characters796
Distinct characters69
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

Unique37 ?
Unique (%)94.9%

Sample

1st row경기도 이천시 대월면 초지리 228-3
2nd row경기도 이천시 대월면 사동리 179-6
3rd row경기도 이천시 대월면 초지리 302-35
4th row경기도 이천시 모가면 송곡리 산19-4
5th row경기도 이천시 모가면 진가리 460
ValueCountFrequency (%)
이천시 39
20.1%
경기도 37
19.1%
산 8
 
4.1%
부발읍 8
 
4.1%
모가면 6
 
3.1%
신둔면 5
 
2.6%
백사면 5
 
2.6%
설성면 4
 
2.1%
아미리 4
 
2.1%
사음동 3
 
1.5%
Other values (64) 75
38.7%
2023-12-12T08:10:42.642237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
22.2%
경 40
 
5.0%
이 39
 
4.9%
천 39
 
4.9%
시 39
 
4.9%
기 38
 
4.8%
도 37
 
4.6%
리 32
 
4.0%
- 31
 
3.9%
면 23
 
2.9%
Other values (59) 301
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
56.4%
Space Separator 177
 
22.2%
Decimal Number 139
 
17.5%
Dash Punctuation 31
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 40
 
8.9%
이 39
 
8.7%
천 39
 
8.7%
시 39
 
8.7%
기 38
 
8.5%
도 37
 
8.2%
리 32
 
7.1%
면 23
 
5.1%
읍 10
 
2.2%
사 10
 
2.2%
Other values (47) 142
31.6%
Decimal Number
ValueCountFrequency (%)
5 20
14.4%
1 18
12.9%
2 17
12.2%
6 16
11.5%
4 16
11.5%
3 15
10.8%
9 13
9.4%
7 12
8.6%
8 7
 
5.0%
0 5
 
3.6%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
56.4%
Common 347
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 40
 
8.9%
이 39
 
8.7%
천 39
 
8.7%
시 39
 
8.7%
기 38
 
8.5%
도 37
 
8.2%
리 32
 
7.1%
면 23
 
5.1%
읍 10
 
2.2%
사 10
 
2.2%
Other values (47) 142
31.6%
Common
ValueCountFrequency (%)
177
51.0%
- 31
 
8.9%
5 20
 
5.8%
1 18
 
5.2%
2 17
 
4.9%
6 16
 
4.6%
4 16
 
4.6%
3 15
 
4.3%
9 13
 
3.7%
7 12
 
3.5%
Other values (2) 12
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
56.4%
ASCII 347
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
51.0%
- 31
 
8.9%
5 20
 
5.8%
1 18
 
5.2%
2 17
 
4.9%
6 16
 
4.6%
4 16
 
4.6%
3 15
 
4.3%
9 13
 
3.7%
7 12
 
3.5%
Other values (2) 12
 
3.5%
Hangul
ValueCountFrequency (%)
경 40
 
8.9%
이 39
 
8.7%
천 39
 
8.7%
시 39
 
8.7%
기 38
 
8.5%
도 37
 
8.2%
리 32
 
7.1%
면 23
 
5.1%
읍 10
 
2.2%
사 10
 
2.2%
Other values (47) 142
31.6%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.248033
Minimum37.105261
Maximum37.334264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T08:10:42.780346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.105261
5-th percentile37.115102
Q137.204187
median37.264815
Q337.296063
95-th percentile37.32444
Maximum37.334264
Range0.22900301
Interquartile range (IQR)0.091876225

Descriptive statistics

Standard deviation0.06688852
Coefficient of variation (CV)0.0017957598
Kurtosis-0.51805965
Mean37.248033
Median Absolute Deviation (MAD)0.04100966
Skewness-0.81073296
Sum1452.6733
Variance0.0044740741
MonotonicityNot monotonic
2023-12-12T08:10:42.947250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
37.22975964 1
 
2.6%
37.23380638 1
 
2.6%
37.29129857 1
 
2.6%
37.29609256 1
 
2.6%
37.29603334 1
 
2.6%
37.13246329 1
 
2.6%
37.10526117 1
 
2.6%
37.11489726 1
 
2.6%
37.11512432 1
 
2.6%
37.30686116 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
37.10526117 1
2.6%
37.11489726 1
2.6%
37.11512432 1
2.6%
37.13246329 1
2.6%
37.15229398 1
2.6%
37.15230848 1
2.6%
37.16176799 1
2.6%
37.17178106 1
2.6%
37.18169912 1
2.6%
37.18456848 1
2.6%
ValueCountFrequency (%)
37.33426418 1
2.6%
37.32974991 1
2.6%
37.32384956 1
2.6%
37.31780631 1
2.6%
37.31769655 1
2.6%
37.31576779 1
2.6%
37.30686116 1
2.6%
37.30660513 1
2.6%
37.30649088 1
2.6%
37.29609256 1
2.6%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.46781
Minimum127.37727
Maximum127.54743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T08:10:43.115523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.37727
5-th percentile127.40462
Q1127.44185
median127.47757
Q3127.48988
95-th percentile127.52258
Maximum127.54743
Range0.1701663
Interquartile range (IQR)0.04803735

Descriptive statistics

Standard deviation0.037399627
Coefficient of variation (CV)0.00029340449
Kurtosis-0.053193373
Mean127.46781
Median Absolute Deviation (MAD)0.0175045
Skewness-0.38755369
Sum4971.2444
Variance0.0013987321
MonotonicityNot monotonic
2023-12-12T08:10:43.302165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
127.4938528 1
 
2.6%
127.494521 1
 
2.6%
127.4262625 1
 
2.6%
127.4115975 1
 
2.6%
127.4125058 1
 
2.6%
127.5206017 1
 
2.6%
127.5474345 1
 
2.6%
127.5225774 1
 
2.6%
127.5226327 1
 
2.6%
127.4029661 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
127.3772682 1
2.6%
127.4029661 1
2.6%
127.4047998 1
2.6%
127.4115975 1
2.6%
127.4125058 1
2.6%
127.4244126 1
2.6%
127.4247222 1
2.6%
127.4262625 1
2.6%
127.4408592 1
2.6%
127.4413525 1
2.6%
ValueCountFrequency (%)
127.5474345 1
2.6%
127.5226327 1
2.6%
127.5225774 1
2.6%
127.5206017 1
2.6%
127.5086041 1
2.6%
127.4950793 1
2.6%
127.494521 1
2.6%
127.4938528 1
2.6%
127.4904794 1
2.6%
127.4903239 1
2.6%

당해년도 운영시작일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2022-10-15
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-15
2nd row2022-10-15
3rd row2022-10-15
4th row2022-10-15
5th row2022-10-15

Common Values

ValueCountFrequency (%)
2022-10-15 39
100.0%

Length

2023-12-12T08:10:43.462379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:10:43.584115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-15 39
100.0%

당해 또는 차년도 운영종료일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-03-15
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-15
2nd row2023-03-15
3rd row2023-03-15
4th row2023-03-15
5th row2023-03-15

Common Values

ValueCountFrequency (%)
2023-03-15 39
100.0%

Length

2023-12-12T08:10:43.689569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:10:44.069416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-15 39
100.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
이천시청 안전총괄과
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이천시청 안전총괄과
2nd row이천시청 안전총괄과
3rd row이천시청 안전총괄과
4th row이천시청 안전총괄과
5th row이천시청 안전총괄과

Common Values

ValueCountFrequency (%)
이천시청 안전총괄과 39
100.0%

Length

2023-12-12T08:10:44.184626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:10:44.280859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이천시청 39
50.0%
안전총괄과 39
50.0%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
031-644-2980
39 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-644-2980
2nd row031-644-2980
3rd row031-644-2980
4th row031-644-2980
5th row031-644-2980

Common Values

ValueCountFrequency (%)
031-644-2980 39
100.0%

Length

2023-12-12T08:10:44.389719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:10:44.487902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-644-2980 39
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-09-01
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-01
2nd row2023-09-01
3rd row2023-09-01
4th row2023-09-01
5th row2023-09-01

Common Values

ValueCountFrequency (%)
2023-09-01 39
100.0%

Length

2023-12-12T08:10:44.609940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:10:44.718874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-01 39
100.0%

비고
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing36
Missing (%)92.3%
Memory size444.0 B
2023-12-12T08:10:44.856934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length34
Mean length38.333333
Min length13

Characters and Unicode

Total characters115
Distinct characters47
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

Unique3 ?
Unique (%)100.0%

Sample

1st row표지판만 있는 버스정류장
2nd row고척2리입구 버스정류장 위경도 입력 (기존 위경도 좌표와 고척1리 버스정류장의 거리는 직선거리 기준 250m 정도 떨어짐)
3rd row표지판만 있는 버스정류장 (바로 인근에 구형 버스정류장 존재)
ValueCountFrequency (%)
버스정류장 4
 
15.4%
표지판만 2
 
7.7%
위경도 2
 
7.7%
있는 2
 
7.7%
기준 1
 
3.8%
구형 1
 
3.8%
인근에 1
 
3.8%
바로 1
 
3.8%
떨어짐 1
 
3.8%
정도 1
 
3.8%
Other values (10) 10
38.5%
2023-12-12T08:10:45.191808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
20.0%
정 6
 
5.2%
스 5
 
4.3%
장 5
 
4.3%
류 5
 
4.3%
버 5
 
4.3%
리 4
 
3.5%
도 3
 
2.6%
표 3
 
2.6%
는 3
 
2.6%
Other values (37) 53
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
71.3%
Space Separator 23
 
20.0%
Decimal Number 5
 
4.3%
Open Punctuation 2
 
1.7%
Close Punctuation 2
 
1.7%
Lowercase Letter 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6
 
7.3%
스 5
 
6.1%
장 5
 
6.1%
류 5
 
6.1%
버 5
 
6.1%
리 4
 
4.9%
도 3
 
3.7%
표 3
 
3.7%
는 3
 
3.7%
위 2
 
2.4%
Other values (29) 41
50.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
0 1
20.0%
5 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
71.3%
Common 32
 
27.8%
Latin 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6
 
7.3%
스 5
 
6.1%
장 5
 
6.1%
류 5
 
6.1%
버 5
 
6.1%
리 4
 
4.9%
도 3
 
3.7%
표 3
 
3.7%
는 3
 
3.7%
위 2
 
2.4%
Other values (29) 41
50.0%
Common
ValueCountFrequency (%)
23
71.9%
( 2
 
6.2%
) 2
 
6.2%
2 2
 
6.2%
0 1
 
3.1%
5 1
 
3.1%
1 1
 
3.1%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
71.3%
ASCII 33
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
69.7%
( 2
 
6.1%
) 2
 
6.1%
2 2
 
6.1%
m 1
 
3.0%
0 1
 
3.0%
5 1
 
3.0%
1 1
 
3.0%
Hangul
ValueCountFrequency (%)
정 6
 
7.3%
스 5
 
6.1%
장 5
 
6.1%
류 5
 
6.1%
버 5
 
6.1%
리 4
 
4.9%
도 3
 
3.7%
표 3
 
3.7%
는 3
 
3.7%
위 2
 
2.4%
Other values (29) 41
50.0%

Interactions

2023-12-12T08:10:39.564899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:39.403396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:39.639262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:39.478818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:10:45.283397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명관리번호설치장소명소재지지번주소위도경도비고
읍면동명1.0001.0001.0001.0000.8850.8321.000
관리번호1.0001.0001.0001.0001.0001.0001.000
설치장소명1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
위도0.8851.0001.0001.0001.0000.5891.000
경도0.8321.0001.0001.0000.5891.0001.000
비고1.0001.0001.0001.0001.0001.0001.000
2023-12-12T08:10:45.390566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동명
위도1.000-0.7170.648
경도-0.7171.0000.535
읍면동명0.6480.5351.000

Missing values

2023-12-12T08:10:39.756858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:10:39.920395image/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.
2023-12-12T08:10:40.033232image/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

기준년도읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도당해년도 운영시작일자당해 또는 차년도 운영종료일자관리기관관리기관 전화번호데이터기준일자비고
02021대월면대월면-001초지리 버스정류장<NA>경기도 이천시 대월면 초지리 228-337.22976127.4938532022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
12021대월면대월면-002초지2리 버스정류장<NA>경기도 이천시 대월면 사동리 179-637.233806127.4945212022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
22021대월면대월면-003대월농협 버스정류장<NA>경기도 이천시 대월면 초지리 302-3537.223805127.4950792022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
32021모가면모가면-001송곡리 버스정류장(서경리방면)<NA>경기도 이천시 모가면 송곡리 산19-437.152308127.4827932022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
42021모가면모가면-002모가면사무소 버스정류장<NA>경기도 이천시 모가면 진가리 46037.171781127.4807012022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
52021모가면모가면-003원두1리 버스정류장<NA>경기도 이천시 모가면 원두리 616-137.184568127.476332022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
62021모가면모가면-004송곡1리 버스정류장<NA>경기도 이천시 모가면 송곡리 산 19-437.152294127.48282022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
72021모가면모가면-005서경리 버스정류장<NA>경기도 이천시 모가면 서경리 519-937.161768127.4803442022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
82021모가면모가면-006소사리 버스정류장<NA>경기도 이천시 모가면 원두리 256-237.181699127.4783872022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
92021백사면백사면-001백사중학교 버스정류장<NA>경기도 이천시 백사면 조읍리 산 85-737.32385127.4749032022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
기준년도읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도당해년도 운영시작일자당해 또는 차년도 운영종료일자관리기관관리기관 전화번호데이터기준일자비고
292021신둔면신둔면-001수광1리 버스정류장<NA>경기도 이천시 신둔면 수광리 71637.306861127.4029662022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
302021신둔면신둔면-002신둔도예촌역 버스정류장<NA>경기도 이천시 신둔면 남정리 377-537.315768127.40482022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
312021신둔면신둔면-003고척1리 버스정류장<NA>경기도 이천시 신둔면 고척리 443-137.288899127.3772682022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01고척2리입구 버스정류장 위경도 입력 (기존 위경도 좌표와 고척1리 버스정류장의 거리는 직선거리 기준 250m 정도 떨어짐)
322021신둔면신둔면-004지석리입구. 반석아르미아파트 버스정류장1<NA>경기도 이천시 신둔면 지석리 138-1737.317806127.4244132022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01표지판만 있는 버스정류장 (바로 인근에 구형 버스정류장 존재)
332021신둔면신둔면-005지석리입구.반석아르미아파트 버스정류장2<NA>경기도 이천시 신둔면 수하리 299-237.317697127.4247222022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
342021율현동율현동-001이천역1<NA>경기도 이천시 율현동 43537.264815127.442342022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
352021율현동율현동-002이천역2<NA>경기도 이천시 율현동 43537.26493127.4413522022-10-152023-03-15이천시청 안전총괄과031-644-29802023-09-01<NA>
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