Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells23
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory89.0 B

Variable types

Categorical4
Text3
Numeric3

Dataset

Description군포시 택시정류장 현황 정보에 대한 데이터로 행정동, 시설명, 고유번호, 도로명주소, 지번주소, 시설형태, 택시전용 정차면수(도로노면), 택시전용 정차면수(전용), 관리기관, 데이터기준일자 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15087925/fileData.do

Alerts

관리기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
고유번호 is highly overall correlated with 택시전용 정차면수(도로노면) and 2 other fieldsHigh correlation
택시전용 정차면수(도로노면) is highly overall correlated with 고유번호High correlation
택시전용 정차면수(전용) is highly overall correlated with 고유번호High correlation
행정동 is highly overall correlated with 고유번호High correlation
택시전용 정차면수(도로노면) has 8 (36.4%) missing valuesMissing
택시전용 정차면수(전용) has 15 (68.2%) missing valuesMissing
시설명 has unique valuesUnique
고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:46:57.881753
Analysis finished2023-12-12 05:46:59.688231
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
산본동
15 
당동
4 
당정동
2 
대야미동
 
1

Length

Max length4
Median length3
Mean length2.8636364
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
산본동 15
68.2%
당동 4
 
18.2%
당정동 2
 
9.1%
대야미동 1
 
4.5%

Length

2023-12-12T14:47:00.173113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:00.343862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산본동 15
68.2%
당동 4
 
18.2%
당정동 2
 
9.1%
대야미동 1
 
4.5%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:47:00.526765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10
Min length6

Characters and Unicode

Total characters220
Distinct characters76
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

Unique22 ?
Unique (%)100.0%

Sample

1st row원광대산본병원 앞
2nd row산본역 3번출구 앞
3rd row산본역 4번출구 앞
4th row산본이마트 건너편
5th row산본주공아파트 11단지 앞
ValueCountFrequency (%)
앞 17
29.8%
금정역 4
 
7.0%
3번출구 3
 
5.3%
산본역 2
 
3.5%
4번출구 2
 
3.5%
당정역 2
 
3.5%
1번출구 2
 
3.5%
군포역 2
 
3.5%
원광대산본병원 1
 
1.8%
궁내동주민자치센터 1
 
1.8%
Other values (21) 21
36.8%
2023-12-12T14:47:00.902426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
16.4%
앞 17
 
7.7%
역 11
 
5.0%
산 9
 
4.1%
본 9
 
4.1%
번 9
 
4.1%
출 9
 
4.1%
구 9
 
4.1%
정 6
 
2.7%
원 5
 
2.3%
Other values (66) 100
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
78.2%
Space Separator 36
 
16.4%
Decimal Number 12
 
5.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 17
 
9.9%
역 11
 
6.4%
산 9
 
5.2%
본 9
 
5.2%
번 9
 
5.2%
출 9
 
5.2%
구 9
 
5.2%
정 6
 
3.5%
원 5
 
2.9%
트 5
 
2.9%
Other values (59) 83
48.3%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 3
25.0%
4 2
16.7%
2 1
 
8.3%
9 1
 
8.3%
6 1
 
8.3%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
78.2%
Common 48
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 17
 
9.9%
역 11
 
6.4%
산 9
 
5.2%
본 9
 
5.2%
번 9
 
5.2%
출 9
 
5.2%
구 9
 
5.2%
정 6
 
3.5%
원 5
 
2.9%
트 5
 
2.9%
Other values (59) 83
48.3%
Common
ValueCountFrequency (%)
36
75.0%
1 4
 
8.3%
3 3
 
6.2%
4 2
 
4.2%
2 1
 
2.1%
9 1
 
2.1%
6 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
78.2%
ASCII 48
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
75.0%
1 4
 
8.3%
3 3
 
6.2%
4 2
 
4.2%
2 1
 
2.1%
9 1
 
2.1%
6 1
 
2.1%
Hangul
ValueCountFrequency (%)
앞 17
 
9.9%
역 11
 
6.4%
산 9
 
5.2%
본 9
 
5.2%
번 9
 
5.2%
출 9
 
5.2%
구 9
 
5.2%
정 6
 
3.5%
원 5
 
2.9%
트 5
 
2.9%
Other values (59) 83
48.3%

고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:47:01.041204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T14:47:01.178391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

도로명주소
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:47:01.372642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length15.5
Min length14

Characters and Unicode

Total characters341
Distinct characters33
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

Unique18 ?
Unique (%)81.8%

Sample

1st row경기도 군포시 산본로 327
2nd row경기도 군포시 번영로 505
3rd row경기도 군포시 번영로 505
4th row경기도 군포시 산본로 367
5th row경기도 군포시 산본천로 119-5
ValueCountFrequency (%)
경기도 22
25.0%
군포시 22
25.0%
산본로 4
 
4.5%
산본천로 4
 
4.5%
군포로 3
 
3.4%
고산로 2
 
2.3%
군포역1길 2
 
2.3%
번영로 2
 
2.3%
91 2
 
2.3%
당정역로 2
 
2.3%
Other values (22) 23
26.1%
2023-12-12T14:47:01.720543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
19.4%
포 27
 
7.9%
군 27
 
7.9%
경 22
 
6.5%
시 22
 
6.5%
기 22
 
6.5%
도 22
 
6.5%
로 19
 
5.6%
1 12
 
3.5%
산 10
 
2.9%
Other values (23) 92
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
60.7%
Space Separator 66
 
19.4%
Decimal Number 66
 
19.4%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 27
13.0%
군 27
13.0%
경 22
10.6%
시 22
10.6%
기 22
10.6%
도 22
10.6%
로 19
9.2%
산 10
 
4.8%
본 8
 
3.9%
역 4
 
1.9%
Other values (11) 24
11.6%
Decimal Number
ValueCountFrequency (%)
1 12
18.2%
5 10
15.2%
2 9
13.6%
9 9
13.6%
3 7
10.6%
7 6
9.1%
4 6
9.1%
0 5
7.6%
6 1
 
1.5%
8 1
 
1.5%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
60.7%
Common 134
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 27
13.0%
군 27
13.0%
경 22
10.6%
시 22
10.6%
기 22
10.6%
도 22
10.6%
로 19
9.2%
산 10
 
4.8%
본 8
 
3.9%
역 4
 
1.9%
Other values (11) 24
11.6%
Common
ValueCountFrequency (%)
66
49.3%
1 12
 
9.0%
5 10
 
7.5%
2 9
 
6.7%
9 9
 
6.7%
3 7
 
5.2%
7 6
 
4.5%
4 6
 
4.5%
0 5
 
3.7%
- 2
 
1.5%
Other values (2) 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
60.7%
ASCII 134
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
49.3%
1 12
 
9.0%
5 10
 
7.5%
2 9
 
6.7%
9 9
 
6.7%
3 7
 
5.2%
7 6
 
4.5%
4 6
 
4.5%
0 5
 
3.7%
- 2
 
1.5%
Other values (2) 2
 
1.5%
Hangul
ValueCountFrequency (%)
포 27
13.0%
군 27
13.0%
경 22
10.6%
시 22
10.6%
기 22
10.6%
도 22
10.6%
로 19
9.2%
산 10
 
4.8%
본 8
 
3.9%
역 4
 
1.9%
Other values (11) 24
11.6%

지번주소
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:47:01.943251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27.5
Mean length22.272727
Min length14

Characters and Unicode

Total characters490
Distinct characters83
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row경기도 군포시 산본동 1126-1 원광대학교의과대학산본병원
2nd row경기도 군포시 산본동 1142-2 대우디오플러스
3rd row경기도 군포시 산본동 1142-2 대우디오플러스
4th row경기도 군포시 산본동 1122 공동구관리실및공원관리소
5th row경기도 군포시 산본동 1052-2 주공 11단지 아파트 상가
ValueCountFrequency (%)
경기도 22
20.6%
군포시 22
20.6%
산본동 15
14.0%
당동 3
 
2.8%
당정동 2
 
1.9%
938 2
 
1.9%
당정역 2
 
1.9%
1142-2 2
 
1.9%
대우디오플러스 2
 
1.9%
명성빌딩 1
 
0.9%
Other values (34) 34
31.8%
2023-12-12T14:47:02.301641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
17.3%
1 26
 
5.3%
군 23
 
4.7%
포 23
 
4.7%
동 23
 
4.7%
경 22
 
4.5%
도 22
 
4.5%
시 22
 
4.5%
기 22
 
4.5%
본 18
 
3.7%
Other values (73) 204
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
60.6%
Decimal Number 92
 
18.8%
Space Separator 85
 
17.3%
Dash Punctuation 13
 
2.7%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 23
 
7.7%
포 23
 
7.7%
동 23
 
7.7%
경 22
 
7.4%
도 22
 
7.4%
시 22
 
7.4%
기 22
 
7.4%
본 18
 
6.1%
산 18
 
6.1%
당 7
 
2.4%
Other values (59) 97
32.7%
Decimal Number
ValueCountFrequency (%)
1 26
28.3%
2 18
19.6%
6 8
 
8.7%
7 7
 
7.6%
4 7
 
7.6%
3 7
 
7.6%
8 6
 
6.5%
9 5
 
5.4%
0 5
 
5.4%
5 3
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
66.7%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
60.6%
Common 190
38.8%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 23
 
7.7%
포 23
 
7.7%
동 23
 
7.7%
경 22
 
7.4%
도 22
 
7.4%
시 22
 
7.4%
기 22
 
7.4%
본 18
 
6.1%
산 18
 
6.1%
당 7
 
2.4%
Other values (59) 97
32.7%
Common
ValueCountFrequency (%)
85
44.7%
1 26
 
13.7%
2 18
 
9.5%
- 13
 
6.8%
6 8
 
4.2%
7 7
 
3.7%
4 7
 
3.7%
3 7
 
3.7%
8 6
 
3.2%
9 5
 
2.6%
Other values (2) 8
 
4.2%
Latin
ValueCountFrequency (%)
G 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
60.6%
ASCII 193
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
44.0%
1 26
 
13.5%
2 18
 
9.3%
- 13
 
6.7%
6 8
 
4.1%
7 7
 
3.6%
4 7
 
3.6%
3 7
 
3.6%
8 6
 
3.1%
9 5
 
2.6%
Other values (4) 11
 
5.7%
Hangul
ValueCountFrequency (%)
군 23
 
7.7%
포 23
 
7.7%
동 23
 
7.7%
경 22
 
7.4%
도 22
 
7.4%
시 22
 
7.4%
기 22
 
7.4%
본 18
 
6.1%
산 18
 
6.1%
당 7
 
2.4%
Other values (59) 97
32.7%

시설형태
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
쉘터형
18 
포스트형
4 

Length

Max length4
Median length3
Mean length3.1818182
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쉘터형 18
81.8%
포스트형 4
 
18.2%

Length

2023-12-12T14:47:02.429318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:02.540076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쉘터형 18
81.8%
포스트형 4
 
18.2%

택시전용 정차면수(도로노면)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)57.1%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean7.5714286
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:47:02.616707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median5.5
Q39.75
95-th percentile15.4
Maximum18
Range14
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.2192651
Coefficient of variation (CV)0.55726143
Kurtosis1.6727023
Mean7.5714286
Median Absolute Deviation (MAD)1.5
Skewness1.4608184
Sum106
Variance17.802198
MonotonicityNot monotonic
2023-12-12T14:47:02.712944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 4
18.2%
4 3
 
13.6%
10 2
 
9.1%
14 1
 
4.5%
9 1
 
4.5%
18 1
 
4.5%
7 1
 
4.5%
6 1
 
4.5%
(Missing) 8
36.4%
ValueCountFrequency (%)
4 3
13.6%
5 4
18.2%
6 1
 
4.5%
7 1
 
4.5%
9 1
 
4.5%
10 2
9.1%
14 1
 
4.5%
18 1
 
4.5%
ValueCountFrequency (%)
18 1
 
4.5%
14 1
 
4.5%
10 2
9.1%
9 1
 
4.5%
7 1
 
4.5%
6 1
 
4.5%
5 4
18.2%
4 3
13.6%

택시전용 정차면수(전용)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)85.7%
Missing15
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean8.2857143
Minimum3
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T14:47:02.826994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.3
Q14
median7
Q311
95-th percentile16.2
Maximum18
Range15
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4379618
Coefficient of variation (CV)0.65630573
Kurtosis0.23658428
Mean8.2857143
Median Absolute Deviation (MAD)3
Skewness0.96601269
Sum58
Variance29.571429
MonotonicityNot monotonic
2023-12-12T14:47:02.941711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 2
 
9.1%
18 1
 
4.5%
10 1
 
4.5%
7 1
 
4.5%
12 1
 
4.5%
3 1
 
4.5%
(Missing) 15
68.2%
ValueCountFrequency (%)
3 1
4.5%
4 2
9.1%
7 1
4.5%
10 1
4.5%
12 1
4.5%
18 1
4.5%
ValueCountFrequency (%)
18 1
4.5%
12 1
4.5%
10 1
4.5%
7 1
4.5%
4 2
9.1%
3 1
4.5%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
군포시청
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
군포시청 22
100.0%

Length

2023-12-12T14:47:03.061190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:03.164790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군포시청 22
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-06-08
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-08
2nd row2023-06-08
3rd row2023-06-08
4th row2023-06-08
5th row2023-06-08

Common Values

ValueCountFrequency (%)
2023-06-08 22
100.0%

Length

2023-12-12T14:47:03.274217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:03.394739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-08 22
100.0%

Interactions

2023-12-12T14:46:58.833375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.238253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.535834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.953456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.323167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.638419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:59.040675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.433881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:58.731339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:47:03.461927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동시설명고유번호도로명주소지번주소시설형태택시전용 정차면수(도로노면)택시전용 정차면수(전용)
행정동1.0001.0000.8891.0001.0000.0000.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
고유번호0.8891.0001.0001.0001.0000.0000.4600.544
도로명주소1.0001.0001.0001.0001.0000.0001.0000.936
지번주소1.0001.0001.0001.0001.0000.0001.0000.936
시설형태0.0001.0000.0000.0000.0001.0000.0000.000
택시전용 정차면수(도로노면)0.0001.0000.4601.0001.0000.0001.000NaN
택시전용 정차면수(전용)0.0001.0000.5440.9360.9360.000NaN1.000
2023-12-12T14:47:03.610475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동시설형태
행정동1.0000.000
시설형태0.0001.000
2023-12-12T14:47:03.713498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호택시전용 정차면수(도로노면)택시전용 정차면수(전용)행정동시설형태
고유번호1.000-0.653-0.5230.6140.000
택시전용 정차면수(도로노면)-0.6531.000NaN0.0000.000
택시전용 정차면수(전용)-0.523NaN1.0000.0000.000
행정동0.6140.0000.0001.0000.000
시설형태0.0000.0000.0000.0001.000

Missing values

2023-12-12T14:46:59.194635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:46:59.454705image/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.
2023-12-12T14:46:59.611564image/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

행정동시설명고유번호도로명주소지번주소시설형태택시전용 정차면수(도로노면)택시전용 정차면수(전용)관리기관데이터기준일자
0산본동원광대산본병원 앞1경기도 군포시 산본로 327경기도 군포시 산본동 1126-1 원광대학교의과대학산본병원쉘터형14<NA>군포시청2023-06-08
1산본동산본역 3번출구 앞2경기도 군포시 번영로 505경기도 군포시 산본동 1142-2 대우디오플러스쉘터형<NA>18군포시청2023-06-08
2산본동산본역 4번출구 앞3경기도 군포시 번영로 505경기도 군포시 산본동 1142-2 대우디오플러스쉘터형<NA>10군포시청2023-06-08
3산본동산본이마트 건너편4경기도 군포시 산본로 367경기도 군포시 산본동 1122 공동구관리실및공원관리소쉘터형10<NA>군포시청2023-06-08
4산본동산본주공아파트 11단지 앞5경기도 군포시 산본천로 119-5경기도 군포시 산본동 1052-2 주공 11단지 아파트 상가쉘터형5<NA>군포시청2023-06-08
5산본동산본롯데아파트 9단지 앞6경기도 군포시 고산로 539경기도 군포시 산본동 1148쉘터형9<NA>군포시청2023-06-08
6산본동금정역 4번출구 앞7경기도 군포시 군포로 741경기도 군포시 산본동 266-6쉘터형18<NA>군포시청2023-06-08
7산본동금정역 3번출구 앞8경기도 군포시 군포로 739경기도 군포시 산본동 266-8쉘터형10<NA>군포시청2023-06-08
8산본동금정역 6번출구 앞9경기도 군포시 산본천로 219경기도 군포시 산본동 92쉘터형4<NA>군포시청2023-06-08
9당동군포역 1번출구 앞10경기도 군포시 군포역1길 24경기도 군포시 당동 778-2쉘터형7<NA>군포시청2023-06-08
행정동시설명고유번호도로명주소지번주소시설형태택시전용 정차면수(도로노면)택시전용 정차면수(전용)관리기관데이터기준일자
12당정동당정역 2번출구 앞13경기도 군포시 당정역로 91경기도 군포시 당정동 938 당정역포스트형<NA>4군포시청2023-06-08
13산본동산본의류타운 앞14경기도 군포시 산본천로 99경기도 군포시 산본동 1096-2 디퍼아울렛타운쉘터형<NA>7군포시청2023-06-08
14산본동중심상가 성원주유소 옆15경기도 군포시 광정로 58경기도 군포시 산본동 1143-3 신산본빌딩쉘터형<NA>12군포시청2023-06-08
15산본동궁내동주민자치센터 앞16경기도 군포시 고산로 515경기도 군포시 산본동 1151 GS휘트니스클럽빌딩쉘터형6<NA>군포시청2023-06-08
16산본동산본제일병원 앞17경기도 군포시 산본로 374경기도 군포시 산본동 1097-4 산본제일병원포스트형4<NA>군포시청2023-06-08
17대야미동대야미역 앞18경기도 군포시 대야1로24번길 2경기도 군포시 대야미동 654-2 명성빌딩쉘터형4<NA>군포시청2023-06-08
18산본동금정역 공영주차장 맞은편19경기도 군포시 산본천로 200-2경기도 군포시 산본동 104쉘터형5<NA>군포시청2023-06-08
19당동이마트트레이더스 앞20경기도 군포시 당동 1042경기도 군포시 부곡동 1227-1 트레이더스 군포점쉘터형<NA>3군포시청2023-06-08
20산본동산본 투데이몰 앞21경기도 군포시 산본로 347경기도 군포시 산본동 1123 이마트백화점포스트형5<NA>군포시청2023-06-08
21당동지샘병원 앞22경기도 군포시 군포로 591경기도 군포시 당동 730 G샘병원쉘터형<NA><NA>군포시청2023-06-08