Overview

Dataset statistics

Number of variables11
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory95.6 B

Variable types

Numeric3
Categorical4
Text4

Dataset

Description전라북도 임실군의 보건지소및진료소현황 데이터 입니다. 데이터 세부내역에는 순번, 시도명, 시군구명, 기관명, 주소, 구분, 명칭, 일반전화, 위도, 경도를 포함하여 데이터를 제공하고 있습니다.
Author전라북도 임실군
URLhttps://www.data.go.kr/data/15047240/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
기관명 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
주소 has unique valuesUnique
도로명주소 has unique valuesUnique
명칭 has unique valuesUnique
일반전화 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:12:35.716155
Analysis finished2023-12-12 17:12:37.355857
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T02:12:37.444094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-13T02:12:37.593228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
전라북도
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 29
100.0%

Length

2023-12-13T02:12:37.768109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:12:37.880881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
임실군
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임실군 29
100.0%

Length

2023-12-13T02:12:37.999751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:12:38.129511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임실군 29
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
전라북도 임실군청
29 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라북도 임실군청
2nd row전라북도 임실군청
3rd row전라북도 임실군청
4th row전라북도 임실군청
5th row전라북도 임실군청

Common Values

ValueCountFrequency (%)
전라북도 임실군청 29
100.0%

Length

2023-12-13T02:12:38.247510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:12:38.363494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 29
50.0%
임실군청 29
50.0%

주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:12:38.659116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.655172
Min length20

Characters and Unicode

Total characters628
Distinct characters71
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

Unique29 ?
Unique (%)100.0%

Sample

1st row전라북도 임실군 임실읍 신안리 241
2nd row전라북도 임실군 운암면 학암리 916-1
3rd row전라북도 임실군 운암면 선거리 290
4th row전라북도 임실군 신평면 용암리 100-11
5th row전라북도 임실군 성수면 오류리 248-2
ValueCountFrequency (%)
전라북도 29
20.0%
임실군 29
20.0%
운암면 4
 
2.8%
관촌면 4
 
2.8%
신덕면 3
 
2.1%
삼계면 3
 
2.1%
오수면 3
 
2.1%
성수면 2
 
1.4%
지사면 2
 
1.4%
덕치면 2
 
1.4%
Other values (62) 64
44.1%
2023-12-13T02:12:39.084748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
18.8%
전 30
 
4.8%
도 30
 
4.8%
임 30
 
4.8%
실 30
 
4.8%
북 29
 
4.6%
군 29
 
4.6%
라 29
 
4.6%
면 28
 
4.5%
리 28
 
4.5%
Other values (61) 247
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
60.0%
Space Separator 118
 
18.8%
Decimal Number 111
 
17.7%
Dash Punctuation 22
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 30
 
8.0%
도 30
 
8.0%
임 30
 
8.0%
실 30
 
8.0%
북 29
 
7.7%
군 29
 
7.7%
라 29
 
7.7%
면 28
 
7.4%
리 28
 
7.4%
암 8
 
2.1%
Other values (49) 106
28.1%
Decimal Number
ValueCountFrequency (%)
1 21
18.9%
2 18
16.2%
3 15
13.5%
8 11
9.9%
4 11
9.9%
5 10
9.0%
6 8
 
7.2%
0 7
 
6.3%
7 6
 
5.4%
9 4
 
3.6%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
60.0%
Common 251
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 30
 
8.0%
도 30
 
8.0%
임 30
 
8.0%
실 30
 
8.0%
북 29
 
7.7%
군 29
 
7.7%
라 29
 
7.7%
면 28
 
7.4%
리 28
 
7.4%
암 8
 
2.1%
Other values (49) 106
28.1%
Common
ValueCountFrequency (%)
118
47.0%
- 22
 
8.8%
1 21
 
8.4%
2 18
 
7.2%
3 15
 
6.0%
8 11
 
4.4%
4 11
 
4.4%
5 10
 
4.0%
6 8
 
3.2%
0 7
 
2.8%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
60.0%
ASCII 251
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
47.0%
- 22
 
8.8%
1 21
 
8.4%
2 18
 
7.2%
3 15
 
6.0%
8 11
 
4.4%
4 11
 
4.4%
5 10
 
4.0%
6 8
 
3.2%
0 7
 
2.8%
Other values (2) 10
 
4.0%
Hangul
ValueCountFrequency (%)
전 30
 
8.0%
도 30
 
8.0%
임 30
 
8.0%
실 30
 
8.0%
북 29
 
7.7%
군 29
 
7.7%
라 29
 
7.7%
면 28
 
7.4%
리 28
 
7.4%
암 8
 
2.1%
Other values (49) 106
28.1%

도로명주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:12:39.335853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.344828
Min length18

Characters and Unicode

Total characters590
Distinct characters72
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

Unique29 ?
Unique (%)100.0%

Sample

1st row전라북도 임실군 임실읍 신안2길42-3
2nd row전라북도 임실군 운암면 학암2길28
3rd row전라북도 임실군 운암면 선거1길 33-6
4th row전라북도 임실군 신평면 용암2길 5
5th row전라북도 임실군 성수면 오류1길 47
ValueCountFrequency (%)
전라북도 26
21.8%
임실군 26
21.8%
관촌면 4
 
3.4%
운암면 4
 
3.4%
전라북도임실군 3
 
2.5%
삼계면 3
 
2.5%
신덕면 3
 
2.5%
오수면 3
 
2.5%
신평면 2
 
1.7%
덕치면 2
 
1.7%
Other values (40) 43
36.1%
2023-12-13T02:12:39.768902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.3%
임 32
 
5.4%
1 31
 
5.3%
전 30
 
5.1%
도 30
 
5.1%
실 30
 
5.1%
라 29
 
4.9%
북 29
 
4.9%
군 29
 
4.9%
면 28
 
4.7%
Other values (62) 226
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
64.4%
Decimal Number 100
 
16.9%
Space Separator 96
 
16.3%
Dash Punctuation 14
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 32
 
8.4%
전 30
 
7.9%
도 30
 
7.9%
실 30
 
7.9%
라 29
 
7.6%
북 29
 
7.6%
군 29
 
7.6%
면 28
 
7.4%
길 18
 
4.7%
로 11
 
2.9%
Other values (50) 114
30.0%
Decimal Number
ValueCountFrequency (%)
1 31
31.0%
3 15
15.0%
2 11
 
11.0%
4 11
 
11.0%
8 10
 
10.0%
0 6
 
6.0%
7 4
 
4.0%
9 4
 
4.0%
5 4
 
4.0%
6 4
 
4.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
64.4%
Common 210
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 32
 
8.4%
전 30
 
7.9%
도 30
 
7.9%
실 30
 
7.9%
라 29
 
7.6%
북 29
 
7.6%
군 29
 
7.6%
면 28
 
7.4%
길 18
 
4.7%
로 11
 
2.9%
Other values (50) 114
30.0%
Common
ValueCountFrequency (%)
96
45.7%
1 31
 
14.8%
3 15
 
7.1%
- 14
 
6.7%
2 11
 
5.2%
4 11
 
5.2%
8 10
 
4.8%
0 6
 
2.9%
7 4
 
1.9%
9 4
 
1.9%
Other values (2) 8
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
64.4%
ASCII 210
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
45.7%
1 31
 
14.8%
3 15
 
7.1%
- 14
 
6.7%
2 11
 
5.2%
4 11
 
5.2%
8 10
 
4.8%
0 6
 
2.9%
7 4
 
1.9%
9 4
 
1.9%
Other values (2) 8
 
3.8%
Hangul
ValueCountFrequency (%)
임 32
 
8.4%
전 30
 
7.9%
도 30
 
7.9%
실 30
 
7.9%
라 29
 
7.6%
북 29
 
7.6%
군 29
 
7.6%
면 28
 
7.4%
길 18
 
4.7%
로 11
 
2.9%
Other values (50) 114
30.0%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
보건진료소
18 
보건지소
11 

Length

Max length5
Median length5
Mean length4.6206897
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건진료소 18
62.1%
보건지소 11
37.9%

Length

2023-12-13T02:12:39.910011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:12:40.014174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 18
62.1%
보건지소 11
37.9%

명칭
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:12:40.234253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.4137931
Min length5

Characters and Unicode

Total characters157
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row신안진료소
2nd row학암진료소
3rd row선거진료소
4th row북창진료소
5th row오류진료소
ValueCountFrequency (%)
신안진료소 1
 
3.4%
사곡진료소 1
 
3.4%
강진보건지소 1
 
3.4%
청웅보건지소 1
 
3.4%
관촌보건지소 1
 
3.4%
신평보건지소 1
 
3.4%
신덕보건지소 1
 
3.4%
운암보건지소 1
 
3.4%
삼계보건지소 1
 
3.4%
오수보건지소 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T02:12:40.684979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 29
18.5%
진 19
12.1%
료 18
11.5%
지 13
 
8.3%
건 11
 
7.0%
보 11
 
7.0%
신 5
 
3.2%
암 3
 
1.9%
수 3
 
1.9%
덕 3
 
1.9%
Other values (37) 42
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 29
18.5%
진 19
12.1%
료 18
11.5%
지 13
 
8.3%
건 11
 
7.0%
보 11
 
7.0%
신 5
 
3.2%
암 3
 
1.9%
수 3
 
1.9%
덕 3
 
1.9%
Other values (37) 42
26.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 29
18.5%
진 19
12.1%
료 18
11.5%
지 13
 
8.3%
건 11
 
7.0%
보 11
 
7.0%
신 5
 
3.2%
암 3
 
1.9%
수 3
 
1.9%
덕 3
 
1.9%
Other values (37) 42
26.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 29
18.5%
진 19
12.1%
료 18
11.5%
지 13
 
8.3%
건 11
 
7.0%
보 11
 
7.0%
신 5
 
3.2%
암 3
 
1.9%
수 3
 
1.9%
덕 3
 
1.9%
Other values (37) 42
26.8%

일반전화
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:12:40.934263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique29 ?
Unique (%)100.0%

Sample

1st row063-642-2759
2nd row063-644-3745
3rd row063-643-8678
4th row063-644-3800
5th row063-642-9324
ValueCountFrequency (%)
063-642-2759 1
 
3.4%
063-643-5165 1
 
3.4%
063-640-3270 1
 
3.4%
063-640-3222 1
 
3.4%
063-640-3269 1
 
3.4%
063-640-3224 1
 
3.4%
063-640-3217 1
 
3.4%
063-640-3223 1
 
3.4%
063-640-3248 1
 
3.4%
063-640-3226 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T02:12:41.299748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 67
19.3%
- 58
16.7%
3 56
16.1%
0 46
13.2%
4 43
12.4%
2 31
8.9%
5 11
 
3.2%
9 10
 
2.9%
1 10
 
2.9%
7 9
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 67
23.1%
3 56
19.3%
0 46
15.9%
4 43
14.8%
2 31
10.7%
5 11
 
3.8%
9 10
 
3.4%
1 10
 
3.4%
7 9
 
3.1%
8 7
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 67
19.3%
- 58
16.7%
3 56
16.1%
0 46
13.2%
4 43
12.4%
2 31
8.9%
5 11
 
3.2%
9 10
 
2.9%
1 10
 
2.9%
7 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 67
19.3%
- 58
16.7%
3 56
16.1%
0 46
13.2%
4 43
12.4%
2 31
8.9%
5 11
 
3.2%
9 10
 
2.9%
1 10
 
2.9%
7 9
 
2.6%

위도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.599537
Minimum35.493251
Maximum35.720052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T02:12:41.451800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.493251
5-th percentile35.507001
Q135.538876
median35.60102
Q335.657672
95-th percentile35.700209
Maximum35.720052
Range0.226801
Interquartile range (IQR)0.118796

Descriptive statistics

Standard deviation0.068684797
Coefficient of variation (CV)0.0019293733
Kurtosis-1.1988832
Mean35.599537
Median Absolute Deviation (MAD)0.060365
Skewness0.10243898
Sum1032.3866
Variance0.0047176014
MonotonicityNot monotonic
2023-12-13T02:12:41.580246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35.60102 1
 
3.4%
35.61174 1
 
3.4%
35.509438 1
 
3.4%
35.530309 1
 
3.4%
35.568931 1
 
3.4%
35.673703 1
 
3.4%
35.654628 1
 
3.4%
35.684146 1
 
3.4%
35.661385 1
 
3.4%
35.507322 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
35.493251 1
3.4%
35.506787 1
3.4%
35.507322 1
3.4%
35.509438 1
3.4%
35.514655 1
3.4%
35.520684 1
3.4%
35.530309 1
3.4%
35.538876 1
3.4%
35.549438 1
3.4%
35.565417 1
3.4%
ValueCountFrequency (%)
35.720052 1
3.4%
35.700933 1
3.4%
35.699122 1
3.4%
35.691719 1
3.4%
35.684146 1
3.4%
35.673703 1
3.4%
35.661385 1
3.4%
35.657672 1
3.4%
35.654628 1
3.4%
35.633324 1
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.23987
Minimum127.10475
Maximum127.3602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T02:12:41.725922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.10475
5-th percentile127.13686
Q1127.17857
median127.24461
Q3127.29799
95-th percentile127.34805
Maximum127.3602
Range0.25545
Interquartile range (IQR)0.119413

Descriptive statistics

Standard deviation0.072756309
Coefficient of variation (CV)0.00057180433
Kurtosis-1.1010608
Mean127.23987
Median Absolute Deviation (MAD)0.066037
Skewness0.013832209
Sum3689.9562
Variance0.0052934804
MonotonicityNot monotonic
2023-12-13T02:12:41.885011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
127.244759 1
 
3.4%
127.198111 1
 
3.4%
127.155794 1
 
3.4%
127.163347 1
 
3.4%
127.200577 1
 
3.4%
127.270625 1
 
3.4%
127.222835 1
 
3.4%
127.178575 1
 
3.4%
127.163374 1
 
3.4%
127.275405 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
127.104751 1
3.4%
127.124243 1
3.4%
127.155794 1
3.4%
127.160165 1
3.4%
127.163347 1
3.4%
127.163374 1
3.4%
127.17797 1
3.4%
127.178575 1
3.4%
127.180755 1
3.4%
127.198111 1
3.4%
ValueCountFrequency (%)
127.360201 1
3.4%
127.358402 1
3.4%
127.332515 1
3.4%
127.332219 1
3.4%
127.328517 1
3.4%
127.320179 1
3.4%
127.312674 1
3.4%
127.297988 1
3.4%
127.282079 1
3.4%
127.278685 1
3.4%

Interactions

2023-12-13T02:12:36.762990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.133649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.470455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.860074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.230798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.584939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.955432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.340372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:36.681069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:12:41.980646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번주소도로명주소구분명칭일반전화위도경도
순번1.0001.0001.0000.9931.0001.0000.5850.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
구분0.9931.0001.0001.0001.0001.0000.1820.000
명칭1.0001.0001.0001.0001.0001.0001.0001.000
일반전화1.0001.0001.0001.0001.0001.0001.0001.000
위도0.5851.0001.0000.1821.0001.0001.0000.000
경도0.0001.0001.0000.0001.0001.0000.0001.000
2023-12-13T02:12:42.090414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도구분
순번1.000-0.119-0.1640.776
위도-0.1191.000-0.1020.050
경도-0.164-0.1021.0000.000
구분0.7760.0500.0001.000

Missing values

2023-12-13T02:12:37.093659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:12:37.292663image/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

순번시도명시군구명기관명주소도로명주소구분명칭일반전화위도경도
01전라북도임실군전라북도 임실군청전라북도 임실군 임실읍 신안리 241전라북도 임실군 임실읍 신안2길42-3보건진료소신안진료소063-642-275935.60102127.244759
12전라북도임실군전라북도 임실군청전라북도 임실군 운암면 학암리 916-1전라북도 임실군 운암면 학암2길28보건진료소학암진료소063-644-374535.61174127.198111
23전라북도임실군전라북도 임실군청전라북도 임실군 운암면 선거리 290전라북도 임실군 운암면 선거1길 33-6보건진료소선거진료소063-643-867835.605066127.17797
34전라북도임실군전라북도 임실군청전라북도 임실군 신평면 용암리 100-11전라북도 임실군 신평면 용암2길 5보건진료소북창진료소063-644-380035.633324127.211125
45전라북도임실군전라북도 임실군청전라북도 임실군 성수면 오류리 248-2전라북도 임실군 성수면 오류1길 47보건진료소오류진료소063-642-932435.601192127.320179
56전라북도임실군전라북도 임실군청전라북도 임실군 오수면 둔기리 138-6전라북도 임실군 오수면 둔기길42보건진료소둔기진료소063-642-646935.506787127.332515
67전라북도임실군전라북도 임실군청전라북도 임실군 오수면 봉천리 735-12전라북도임실군 오수면 봉천1길 7보건진료소봉천진료소063-644-649735.576221127.312674
78전라북도임실군전라북도 임실군청전라북도 임실군 신덕면 불재로 336전라북도 임실군 신덕면 불재로 336보건진료소신덕진료소063-644-041235.700933127.160165
89전라북도임실군전라북도 임실군청전라북도 임실군 신덕면 지장리 652-1전라북도 임실군 신덕면 지장1길12보건진료소지장진료소063-643-689235.691719127.207907
910전라북도임실군전라북도 임실군청전라북도 임실군 삼계면 세심리 253-1전라북도 임실군 삼계면 세심길80보건진료소세심진료소063-642-776335.493251127.244612
순번시도명시군구명기관명주소도로명주소구분명칭일반전화위도경도
1920전라북도임실군전라북도 임실군청전라북도 임실군 지사면 방계리 896전라북도임실군 지사면 충효로2451-5보건지소지사보건지소063-640-323235.565417127.358402
2021전라북도임실군전라북도 임실군청전라북도 임실군 오수면 오수리 345-8전라북도 임실군 오수면 오수4길9-3보건지소오수보건지소063-640-322635.538876127.328517
2122전라북도임실군전라북도 임실군청전라북도 임실군 삼계면 삼계리 435-3전라북도 임실군 삼계면 삼계1길20-11보건지소삼계보건지소063-640-324835.507322127.275405
2223전라북도임실군전라북도 임실군청전라북도 임실군 운암면 쌍암리 819-1전라북도 임실군 운암면 임운로1886보건지소운암보건지소063-640-322335.661385127.163374
2324전라북도임실군전라북도 임실군청전라북도 임실군 신덕면 수천리 502-6전라북도 임실군 신덕면 수지로102보건지소신덕보건지소063-640-321735.684146127.178575
2425전라북도임실군전라북도 임실군청전라북도 임실군 신평면 원천리 302전라북도 임실군 신평면 석등슬치로339보건지소신평보건지소063-640-322435.654628127.222835
2526전라북도임실군전라북도 임실군청전라북도 임실군 관촌면 관촌리 346전라북도 임실군 관촌면 사선1길13-1보건지소관촌보건지소063-640-326935.673703127.270625
2627전라북도임실군전라북도 임실군청전라북도 임실군 청웅면 구고리 223-6전라북도 임실군 청웅면 청웅로143보건지소청웅보건지소063-640-322235.568931127.200577
2728전라북도임실군전라북도 임실군청전라북도 임실군 강진면 갈담리 281-1전라북도 임실군 강진면 호국로47-1보건지소강진보건지소063-640-327035.530309127.163347
2829전라북도임실군전라북도 임실군청전라북도 임실군 덕치면 회문리 103-3전라북도 임실군 덕치면 회문1길14보건지소덕치보건지소063-640-325135.509438127.155794