Overview

Dataset statistics

Number of variables18
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory154.6 B

Variable types

Text3
Categorical11
Numeric3
DateTime1

Dataset

Description인천광역시서구시설관리공단이 관리 중인 서구 공영주차장에 대한 정보로 공영주차장의 주소와 운영시간, 요금 등에 대한 데이터를 제공합니다.
Author인천광역시서구시설관리공단
URLhttps://www.data.go.kr/data/15126913/fileData.do

Alerts

급지구분 has constant value ""Constant
주간운영 has constant value ""Constant
주간요금(15분당) has constant value ""Constant
감면정보 has constant value ""Constant
데이터기준일자 has constant value ""Constant
야간요금(15분당) is highly overall correlated with 주차구획수 and 5 other fieldsHigh correlation
운영요일 is highly overall correlated with 주차구획수 and 5 other fieldsHigh correlation
야간운영 is highly overall correlated with 주차구획수 and 5 other fieldsHigh correlation
운영시간 is highly overall correlated with 주차구획수 and 5 other fieldsHigh correlation
주차장유형 is highly overall correlated with 주차구획수 and 5 other fieldsHigh correlation
결제방법 is highly overall correlated with 주차구획수 and 5 other fieldsHigh correlation
주차구획수 is highly overall correlated with 장애인면수 and 8 other fieldsHigh correlation
장애인면수 is highly overall correlated with 주차구획수 and 2 other fieldsHigh correlation
전기차충전면수 is highly overall correlated with 주차구획수 and 1 other fieldsHigh correlation
여성전용면수 is highly overall correlated with 주차구획수 and 1 other fieldsHigh correlation
여성전용면수 is highly imbalanced (62.2%)Imbalance
주차장명 has unique valuesUnique
장애인면수 has 4 (14.3%) zerosZeros
전기차충전면수 has 21 (75.0%) zerosZeros

Reproduction

Analysis started2024-03-14 17:40:51.547409
Analysis finished2024-03-14 17:40:55.970404
Duration4.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T02:40:56.542133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.392857
Min length9

Characters and Unicode

Total characters347
Distinct characters70
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

Unique28 ?
Unique (%)100.0%

Sample

1st row인천축산물시장 공영주차장
2nd row가좌코스모나눔 공영주차장
3rd row정서진중앙시장 공영주차장
4th row강남장터 공영주차장
5th row신거북시장 공영주차장
ValueCountFrequency (%)
공영주차장 14
25.0%
노상공영주차장 11
19.6%
석남3 1
 
1.8%
석남4 1
 
1.8%
검단1 1
 
1.8%
검단3-1 1
 
1.8%
검단3-2 1
 
1.8%
검단3-3 1
 
1.8%
인천축산물시장 1
 
1.8%
석남2-5 1
 
1.8%
Other values (23) 23
41.1%
2024-03-15T02:40:57.778807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 31
 
8.9%
차 28
 
8.1%
28
 
8.1%
주 28
 
8.1%
공 25
 
7.2%
영 25
 
7.2%
노 11
 
3.2%
상 11
 
3.2%
2 9
 
2.6%
단 9
 
2.6%
Other values (60) 142
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
76.9%
Decimal Number 32
 
9.2%
Space Separator 28
 
8.1%
Dash Punctuation 8
 
2.3%
Open Punctuation 6
 
1.7%
Close Punctuation 6
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 31
 
11.6%
차 28
 
10.5%
주 28
 
10.5%
공 25
 
9.4%
영 25
 
9.4%
노 11
 
4.1%
상 11
 
4.1%
단 9
 
3.4%
검 9
 
3.4%
남 7
 
2.6%
Other values (49) 83
31.1%
Decimal Number
ValueCountFrequency (%)
2 9
28.1%
3 9
28.1%
1 6
18.8%
4 4
12.5%
5 2
 
6.2%
6 1
 
3.1%
7 1
 
3.1%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
76.9%
Common 80
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 31
 
11.6%
차 28
 
10.5%
주 28
 
10.5%
공 25
 
9.4%
영 25
 
9.4%
노 11
 
4.1%
상 11
 
4.1%
단 9
 
3.4%
검 9
 
3.4%
남 7
 
2.6%
Other values (49) 83
31.1%
Common
ValueCountFrequency (%)
28
35.0%
2 9
 
11.2%
3 9
 
11.2%
- 8
 
10.0%
( 6
 
7.5%
) 6
 
7.5%
1 6
 
7.5%
4 4
 
5.0%
5 2
 
2.5%
6 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
76.9%
ASCII 80
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 31
 
11.6%
차 28
 
10.5%
주 28
 
10.5%
공 25
 
9.4%
영 25
 
9.4%
노 11
 
4.1%
상 11
 
4.1%
단 9
 
3.4%
검 9
 
3.4%
남 7
 
2.6%
Other values (49) 83
31.1%
ASCII
ValueCountFrequency (%)
28
35.0%
2 9
 
11.2%
3 9
 
11.2%
- 8
 
10.0%
( 6
 
7.5%
) 6
 
7.5%
1 6
 
7.5%
4 4
 
5.0%
5 2
 
2.5%
6 1
 
1.2%

주차장유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size352.0 B
노상
11 
지평식
9 
건축식
7 
건축식+노상
 
1

Length

Max length6
Median length3
Mean length2.7142857
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row건축식
2nd row지평식
3rd row지평식
4th row건축식
5th row건축식

Common Values

ValueCountFrequency (%)
노상 11
39.3%
지평식 9
32.1%
건축식 7
25.0%
건축식+노상 1
 
3.6%

Length

2024-03-15T02:40:58.286293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:40:58.637219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 11
39.3%
지평식 9
32.1%
건축식 7
25.0%
건축식+노상 1
 
3.6%

급지구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
2
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 28
100.0%

Length

2024-03-15T02:40:58.864886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:40:59.123773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
100.0%

주차구획수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.071429
Minimum10
Maximum346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-15T02:40:59.416991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.1
Q123
median43
Q382.5
95-th percentile139.1
Maximum346
Range336
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation67.360241
Coefficient of variation (CV)1.0513304
Kurtosis11.118744
Mean64.071429
Median Absolute Deviation (MAD)22
Skewness2.9411247
Sum1794
Variance4537.4021
MonotonicityNot monotonic
2024-03-15T02:40:59.631860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
29 2
 
7.1%
21 2
 
7.1%
26 2
 
7.1%
23 2
 
7.1%
57 1
 
3.6%
12 1
 
3.6%
55 1
 
3.6%
117 1
 
3.6%
151 1
 
3.6%
39 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
10 1
3.6%
12 1
3.6%
18 1
3.6%
21 2
7.1%
22 1
3.6%
23 2
7.1%
26 2
7.1%
28 1
3.6%
29 2
7.1%
39 1
3.6%
ValueCountFrequency (%)
346 1
3.6%
151 1
3.6%
117 1
3.6%
113 1
3.6%
111 1
3.6%
110 1
3.6%
99 1
3.6%
77 1
3.6%
68 1
3.6%
67 1
3.6%

장애인면수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7142857
Minimum0
Maximum16
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-15T02:40:59.969394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6.3
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1133779
Coefficient of variation (CV)1.1470339
Kurtosis12.310758
Mean2.7142857
Median Absolute Deviation (MAD)1
Skewness3.0860895
Sum76
Variance9.6931217
MonotonicityNot monotonic
2024-03-15T02:41:00.296025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 7
25.0%
3 6
21.4%
2 5
17.9%
0 4
14.3%
4 2
 
7.1%
5 2
 
7.1%
16 1
 
3.6%
7 1
 
3.6%
ValueCountFrequency (%)
0 4
14.3%
1 7
25.0%
2 5
17.9%
3 6
21.4%
4 2
 
7.1%
5 2
 
7.1%
7 1
 
3.6%
16 1
 
3.6%
ValueCountFrequency (%)
16 1
 
3.6%
7 1
 
3.6%
5 2
 
7.1%
4 2
 
7.1%
3 6
21.4%
2 5
17.9%
1 7
25.0%
0 4
14.3%

여성전용면수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size352.0 B
0
24 
18
 
1
5
 
1
4
 
1
16
 
1

Length

Max length2
Median length1
Mean length1.0714286
Min length1

Unique

Unique4 ?
Unique (%)14.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 24
85.7%
18 1
 
3.6%
5 1
 
3.6%
4 1
 
3.6%
16 1
 
3.6%

Length

2024-03-15T02:41:00.541119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:00.890478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
85.7%
18 1
 
3.6%
5 1
 
3.6%
4 1
 
3.6%
16 1
 
3.6%

전기차충전면수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82142857
Minimum0
Maximum8
Zeros21
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-15T02:41:01.242990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile4.95
Maximum8
Range8
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation1.9255316
Coefficient of variation (CV)2.3441254
Kurtosis8.1146908
Mean0.82142857
Median Absolute Deviation (MAD)0
Skewness2.8537103
Sum23
Variance3.707672
MonotonicityNot monotonic
2024-03-15T02:41:01.677119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
75.0%
1 2
 
7.1%
2 2
 
7.1%
3 1
 
3.6%
6 1
 
3.6%
8 1
 
3.6%
ValueCountFrequency (%)
0 21
75.0%
1 2
 
7.1%
2 2
 
7.1%
3 1
 
3.6%
6 1
 
3.6%
8 1
 
3.6%
ValueCountFrequency (%)
8 1
 
3.6%
6 1
 
3.6%
3 1
 
3.6%
2 2
 
7.1%
1 2
 
7.1%
0 21
75.0%

운영요일
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
월~일
16 
월~금
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월~일
2nd row월~일
3rd row월~일
4th row월~일
5th row월~일

Common Values

ValueCountFrequency (%)
월~일 16
57.1%
월~금 12
42.9%

Length

2024-03-15T02:41:02.103544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:02.444583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월~일 16
57.1%
월~금 12
42.9%

운영시간
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
24시간
16 
10시간
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24시간
2nd row24시간
3rd row24시간
4th row24시간
5th row24시간

Common Values

ValueCountFrequency (%)
24시간 16
57.1%
10시간 12
42.9%

Length

2024-03-15T02:41:02.877605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:03.199097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24시간 16
57.1%
10시간 12
42.9%

주간운영
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
09:00~19:00
28 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00~19:00
2nd row09:00~19:00
3rd row09:00~19:00
4th row09:00~19:00
5th row09:00~19:00

Common Values

ValueCountFrequency (%)
09:00~19:00 28
100.0%

Length

2024-03-15T02:41:03.652477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:03.944476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~19:00 28
100.0%

야간운영
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
19:00~09:00
16 
야간 미운영
12 

Length

Max length11
Median length11
Mean length8.8571429
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19:00~09:00
2nd row19:00~09:00
3rd row19:00~09:00
4th row19:00~09:00
5th row19:00~09:00

Common Values

ValueCountFrequency (%)
19:00~09:00 16
57.1%
야간 미운영 12
42.9%

Length

2024-03-15T02:41:04.457042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:04.818276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00~09:00 16
40.0%
야간 12
30.0%
미운영 12
30.0%

주간요금(15분당)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
300
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300
2nd row300
3rd row300
4th row300
5th row300

Common Values

ValueCountFrequency (%)
300 28
100.0%

Length

2024-03-15T02:41:05.162323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:05.328340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300 28
100.0%

야간요금(15분당)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
150
16 
야간 미운영
12 

Length

Max length6
Median length3
Mean length4.2857143
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row150
2nd row150
3rd row150
4th row150
5th row150

Common Values

ValueCountFrequency (%)
150 16
57.1%
야간 미운영 12
42.9%

Length

2024-03-15T02:41:05.506878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:05.720751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
150 16
40.0%
야간 12
30.0%
미운영 12
30.0%

결제방법
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
카드
16 
카드, 계좌
12 

Length

Max length6
Median length2
Mean length3.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
카드 16
57.1%
카드, 계좌 12
42.9%

Length

2024-03-15T02:41:05.929196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:06.146262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드 28
70.0%
계좌 12
30.0%

감면정보
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간
28 

Length

Max length63
Median length63
Mean length63
Min length63

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간
2nd row장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간
3rd row장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간
4th row장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간
5th row장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간

Common Values

ValueCountFrequency (%)
장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간 28
100.0%

Length

2024-03-15T02:41:06.496413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:06.762556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간 28
100.0%

소재지도로명주소
Text

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T02:41:07.462885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length11.357143
Min length3

Characters and Unicode

Total characters318
Distinct characters79
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

Unique20 ?
Unique (%)71.4%

Sample

1st row가좌로 84번길 35
2nd row장고개로231번길 9
3rd row가남로416
4th row강남로19번길 8 (석남동)
5th row거북로 115
ValueCountFrequency (%)
거북로 5
 
8.8%
검단로459번길(왕길동 4
 
7.0%
내 4
 
7.0%
먹거리타운 4
 
7.0%
2
 
3.5%
9 2
 
3.5%
봉오대로 2
 
3.5%
청마로112번길 1
 
1.8%
석남119안전센터 1
 
1.8%
검단로502번길 1
 
1.8%
Other values (31) 31
54.4%
2024-03-15T02:41:08.569571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
9.1%
로 28
 
8.8%
길 19
 
6.0%
번 15
 
4.7%
1 13
 
4.1%
5 12
 
3.8%
9 12
 
3.8%
거 9
 
2.8%
( 8
 
2.5%
) 8
 
2.5%
Other values (69) 165
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
62.9%
Decimal Number 69
 
21.7%
Space Separator 29
 
9.1%
Open Punctuation 8
 
2.5%
Close Punctuation 8
 
2.5%
Math Symbol 2
 
0.6%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 28
 
14.0%
길 19
 
9.5%
번 15
 
7.5%
거 9
 
4.5%
남 6
 
3.0%
단 5
 
2.5%
석 5
 
2.5%
북 5
 
2.5%
검 5
 
2.5%
내 5
 
2.5%
Other values (53) 98
49.0%
Decimal Number
ValueCountFrequency (%)
1 13
18.8%
5 12
17.4%
9 12
17.4%
2 7
10.1%
4 7
10.1%
3 5
 
7.2%
8 5
 
7.2%
7 3
 
4.3%
6 3
 
4.3%
0 2
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
62.9%
Common 116
36.5%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 28
 
14.0%
길 19
 
9.5%
번 15
 
7.5%
거 9
 
4.5%
남 6
 
3.0%
단 5
 
2.5%
석 5
 
2.5%
북 5
 
2.5%
검 5
 
2.5%
내 5
 
2.5%
Other values (53) 98
49.0%
Common
ValueCountFrequency (%)
29
25.0%
1 13
11.2%
5 12
10.3%
9 12
10.3%
( 8
 
6.9%
) 8
 
6.9%
2 7
 
6.0%
4 7
 
6.0%
3 5
 
4.3%
8 5
 
4.3%
Other values (4) 10
 
8.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
62.9%
ASCII 118
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
24.6%
1 13
11.0%
5 12
10.2%
9 12
10.2%
( 8
 
6.8%
) 8
 
6.8%
2 7
 
5.9%
4 7
 
5.9%
3 5
 
4.2%
8 5
 
4.2%
Other values (6) 12
10.2%
Hangul
ValueCountFrequency (%)
로 28
 
14.0%
길 19
 
9.5%
번 15
 
7.5%
거 9
 
4.5%
남 6
 
3.0%
단 5
 
2.5%
석 5
 
2.5%
북 5
 
2.5%
검 5
 
2.5%
내 5
 
2.5%
Other values (53) 98
49.0%

소재지지번주소
Text

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T02:41:09.407809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length10.571429
Min length6

Characters and Unicode

Total characters296
Distinct characters51
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

Unique18 ?
Unique (%)64.3%

Sample

1st row가좌동 481-2
2nd row가좌동 556-36
3rd row가정동 530-4
4th row석남동 452-18
5th row석남동 548-13
ValueCountFrequency (%)
심곡동 5
 
8.3%
석남2동 4
 
6.7%
왕길동 4
 
6.7%
641-4 4
 
6.7%
536 4
 
6.7%
가정동 3
 
5.0%
일원 2
 
3.3%
마전동 2
 
3.3%
가좌동 2
 
3.3%
당하동 2
 
3.3%
Other values (26) 28
46.7%
2024-03-15T02:41:10.643846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
10.8%
동 30
 
10.1%
1 21
 
7.1%
- 19
 
6.4%
4 19
 
6.4%
2 16
 
5.4%
3 14
 
4.7%
6 13
 
4.4%
5 12
 
4.1%
석 8
 
2.7%
Other values (41) 112
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
40.9%
Decimal Number 114
38.5%
Space Separator 32
 
10.8%
Dash Punctuation 19
 
6.4%
Open Punctuation 5
 
1.7%
Close Punctuation 5
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
24.8%
석 8
 
6.6%
남 8
 
6.6%
심 5
 
4.1%
당 5
 
4.1%
하 5
 
4.1%
곡 5
 
4.1%
가 5
 
4.1%
정 4
 
3.3%
왕 4
 
3.3%
Other values (27) 42
34.7%
Decimal Number
ValueCountFrequency (%)
1 21
18.4%
4 19
16.7%
2 16
14.0%
3 14
12.3%
6 13
11.4%
5 12
10.5%
9 6
 
5.3%
8 6
 
5.3%
0 4
 
3.5%
7 3
 
2.6%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
59.1%
Hangul 121
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
24.8%
석 8
 
6.6%
남 8
 
6.6%
심 5
 
4.1%
당 5
 
4.1%
하 5
 
4.1%
곡 5
 
4.1%
가 5
 
4.1%
정 4
 
3.3%
왕 4
 
3.3%
Other values (27) 42
34.7%
Common
ValueCountFrequency (%)
32
18.3%
1 21
12.0%
- 19
10.9%
4 19
10.9%
2 16
9.1%
3 14
8.0%
6 13
7.4%
5 12
 
6.9%
9 6
 
3.4%
8 6
 
3.4%
Other values (4) 17
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175
59.1%
Hangul 121
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
18.3%
1 21
12.0%
- 19
10.9%
4 19
10.9%
2 16
9.1%
3 14
8.0%
6 13
7.4%
5 12
 
6.9%
9 6
 
3.4%
8 6
 
3.4%
Other values (4) 17
9.7%
Hangul
ValueCountFrequency (%)
동 30
24.8%
석 8
 
6.6%
남 8
 
6.6%
심 5
 
4.1%
당 5
 
4.1%
하 5
 
4.1%
곡 5
 
4.1%
가 5
 
4.1%
정 4
 
3.3%
왕 4
 
3.3%
Other values (27) 42
34.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
Minimum2024-02-06 00:00:00
Maximum2024-02-06 00:00:00
2024-03-15T02:41:10.980782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:41:11.149662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T02:40:54.053898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:52.709228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:53.486300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:54.320492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:52.956918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:53.666614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:54.591667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:53.226303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:40:53.831413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:41:11.297323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차장유형주차구획수장애인면수여성전용면수전기차충전면수운영요일운영시간야간운영야간요금(15분당)결제방법소재지도로명주소소재지지번주소
주차장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주차장유형1.0001.0000.7140.3880.0390.4741.0001.0001.0001.0001.0001.0000.981
주차구획수1.0000.7141.0000.9700.8460.9070.8700.8700.8700.8700.8701.0000.980
장애인면수1.0000.3880.9701.0000.7730.9340.3510.3510.3510.3510.3510.9590.959
여성전용면수1.0000.0390.8460.7731.0000.6290.0000.0000.0000.0000.0001.0000.913
전기차충전면수1.0000.4740.9070.9340.6291.0000.4090.4090.4090.4090.4091.0000.981
운영요일1.0001.0000.8700.3510.0000.4091.0000.9930.9930.9930.9931.0000.910
운영시간1.0001.0000.8700.3510.0000.4090.9931.0000.9930.9930.9931.0000.910
야간운영1.0001.0000.8700.3510.0000.4090.9930.9931.0000.9930.9931.0000.910
야간요금(15분당)1.0001.0000.8700.3510.0000.4090.9930.9930.9931.0000.9931.0000.910
결제방법1.0001.0000.8700.3510.0000.4090.9930.9930.9930.9931.0001.0000.910
소재지도로명주소1.0001.0001.0000.9591.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0000.9810.9800.9590.9130.9810.9100.9100.9100.9100.9101.0001.000
2024-03-15T02:41:11.550759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
여성전용면수야간요금(15분당)운영요일야간운영운영시간주차장유형결제방법
여성전용면수1.0000.0000.0000.0000.0000.0000.000
야간요금(15분당)0.0001.0000.9240.9240.9240.9610.924
운영요일0.0000.9241.0000.9240.9240.9610.924
야간운영0.0000.9240.9241.0000.9240.9610.924
운영시간0.0000.9240.9240.9241.0000.9610.924
주차장유형0.0000.9610.9610.9610.9611.0000.961
결제방법0.0000.9240.9240.9240.9240.9611.000
2024-03-15T02:41:11.759001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차구획수장애인면수전기차충전면수주차장유형여성전용면수운영요일운영시간야간운영야간요금(15분당)결제방법
주차구획수1.0000.7190.6470.5180.7360.6230.6230.6230.6230.623
장애인면수0.7191.0000.6180.2340.6350.2180.2180.2180.2180.218
전기차충전면수0.6470.6181.0000.2990.4720.2590.2590.2590.2590.259
주차장유형0.5180.2340.2991.0000.0000.9610.9610.9610.9610.961
여성전용면수0.7360.6350.4720.0001.0000.0000.0000.0000.0000.000
운영요일0.6230.2180.2590.9610.0001.0000.9240.9240.9240.924
운영시간0.6230.2180.2590.9610.0000.9241.0000.9240.9240.924
야간운영0.6230.2180.2590.9610.0000.9240.9241.0000.9240.924
야간요금(15분당)0.6230.2180.2590.9610.0000.9240.9240.9241.0000.924
결제방법0.6230.2180.2590.9610.0000.9240.9240.9240.9241.000

Missing values

2024-03-15T02:40:55.000748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:40:55.692992image/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

주차장명주차장유형급지구분주차구획수장애인면수여성전용면수전기차충전면수운영요일운영시간주간운영야간운영주간요금(15분당)야간요금(15분당)결제방법감면정보소재지도로명주소소재지지번주소데이터기준일자
0인천축산물시장 공영주차장건축식257301월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간가좌로 84번길 35가좌동 481-22024-02-06
1가좌코스모나눔 공영주차장지평식218100월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간장고개로231번길 9가좌동 556-362024-02-06
2정서진중앙시장 공영주차장지평식277402월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간가남로416가정동 530-42024-02-06
3강남장터 공영주차장건축식299401월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간강남로19번길 8 (석남동)석남동 452-182024-02-06
4신거북시장 공영주차장건축식2113503월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간거북로 115석남동 548-132024-02-06
5서구청1 주차타워건축식234616186월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간탁옥로51번길 26심곡동 239-92024-02-06
6서구청2 노상공영주차장노상210000월~금10시간09:00~19:00야간 미운영300야간 미운영카드, 계좌장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간탁옥로51번길(서구의회 건물 뒤)심곡동 2442024-02-06
7서구청3 (제1부설)주차장지평식2110252월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간서곶로307 인천서구청심곡동 2442024-02-06
8서구청4 (제2부설)주차장건축식+노상2111200월~금10시간09:00~19:00야간 미운영300야간 미운영카드, 계좌장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간서곶로 299 인천서구제2청사심곡동 247-32024-02-06
9심곡서곶누리 공영주차장건축식268340월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간대평로 43심곡동 323-82024-02-06
주차장명주차장유형급지구분주차구획수장애인면수여성전용면수전기차충전면수운영요일운영시간주간운영야간운영주간요금(15분당)야간요금(15분당)결제방법감면정보소재지도로명주소소재지지번주소데이터기준일자
18검단3-2 노상공영주차장노상223300월~금10시간09:00~19:00야간 미운영300야간 미운영카드, 계좌장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간검단로459번길(왕길동 먹거리타운 내)왕길동 641-42024-02-06
19검단3-3 노상공영주차장노상221000월~금10시간09:00~19:00야간 미운영300야간 미운영카드, 계좌장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간검단로459번길(왕길동 먹거리타운 내)왕길동 641-42024-02-06
20검단3-4 노상공영주차장노상226100월~금10시간09:00~19:00야간 미운영300야간 미운영카드, 계좌장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간검단로459번길(왕길동 먹거리타운 내)왕길동 641-42024-02-06
21검단4(완정네) 공영주차장지평식229100월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간완정로8번길마전동 1011-3(완정역 맞은편)2024-02-06
22검단5(완정미소) 공영주차장지평식249200월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간원당대로685번1길마전동 1055-3(당하동 풍림3차 일원)2024-02-06
23검단6(고산후) 공영주차장지평식247100월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간고산후로95번안길당하동 1029-1(원당풍림 일원)2024-02-06
24검단7(당하두루누리) 공영주차장지평식239100월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간청마로112번길당하동 1114-1(당하동 하이마트 인근)2024-02-06
25루원시티1 공영주차장건축식21517160월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간봉오대로 277가정동 산21-172024-02-06
26루원시티2 공영주차장건축식2117508월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간봉오대로 318번길 9가정동 산21-62024-02-06
27청라3 공영주차장지평식255200월~일24시간09:00~19:0019:00~09:00300150카드장애/유공/경차/자원봉사/요일제/저공해/전기차충전/친환경/임산부/65세/환승주차장/공유차량/2자녀/병역명문가/야간청라한내로 95청라동 92-162024-02-06