Overview

Dataset statistics

Number of variables16
Number of observations37
Missing cells26
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory137.6 B

Variable types

Categorical6
Text2
Numeric5
Boolean2
DateTime1

Dataset

Description인천광역시 중구 관내 탄력적 주정차 허용구간을 가지는 데이터로서주차 가능 구간 시간 그밖의 예외사항을 가지는 데이터임
Author인천광역시 중구
URLhttps://www.data.go.kr/data/15106698/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
주말 공휴일주정차 허용시간 is highly overall correlated with 주말 공휴일 주정차 허용여부 and 1 other fieldsHigh correlation
주말 공휴일 주정차 허용여부 is highly overall correlated with 주말 공휴일주정차 허용시간High correlation
허용 시작 구간 위도 is highly overall correlated with 허용 시작 구간 경도 and 2 other fieldsHigh correlation
허용 시작 구간 경도 is highly overall correlated with 허용 시작 구간 위도 and 3 other fieldsHigh correlation
허용 끝 구간 위도 is highly overall correlated with 허용 시작 구간 위도 and 2 other fieldsHigh correlation
허용 끝 구간 경도 is highly overall correlated with 허용 시작 구간 경도 and 1 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 허용 시작 구간 위도 and 4 other fieldsHigh correlation
주말 공휴일 주정차 허용여부 is highly imbalanced (82.1%)Imbalance
평일주정차허용시간 has 26 (70.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:13:06.822106
Analysis finished2023-12-12 10:13:10.526616
Duration3.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
인천광역시
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 37
100.0%

Length

2023-12-12T19:13:10.591840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:10.705943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 37
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
중구
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 37
100.0%

Length

2023-12-12T19:13:10.823068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:10.927218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 37
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
28110
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28110
2nd row28110
3rd row28110
4th row28110
5th row28110

Common Values

ValueCountFrequency (%)
28110 37
100.0%

Length

2023-12-12T19:13:11.036706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:11.138234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28110 37
100.0%

도로명
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T19:13:11.318882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.9189189
Min length3

Characters and Unicode

Total characters219
Distinct characters68
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

Unique32 ?
Unique (%)86.5%

Sample

1st row은하수로
2nd row하늘별빛로
3rd row하늘중앙로
4th row하늘달빛로
5th row하늘달빛로2번길
ValueCountFrequency (%)
제물량로 3
 
7.7%
축항대로 3
 
7.7%
흰바위로 2
 
5.1%
흰바위로27번길 1
 
2.6%
월미로 1
 
2.6%
118번길 1
 
2.6%
87번길 1
 
2.6%
연안부두로 1
 
2.6%
참외전로 1
 
2.6%
우현로 1
 
2.6%
Other values (24) 24
61.5%
2023-12-12T19:13:11.710301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 37
 
16.9%
길 13
 
5.9%
번 13
 
5.9%
하 8
 
3.7%
1 7
 
3.2%
대 5
 
2.3%
2 5
 
2.3%
늘 5
 
2.3%
4
 
1.8%
항 4
 
1.8%
Other values (58) 118
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
84.0%
Decimal Number 31
 
14.2%
Space Separator 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 37
20.1%
길 13
 
7.1%
번 13
 
7.1%
하 8
 
4.3%
대 5
 
2.7%
늘 5
 
2.7%
항 4
 
2.2%
빛 4
 
2.2%
신 3
 
1.6%
도 3
 
1.6%
Other values (47) 89
48.4%
Decimal Number
ValueCountFrequency (%)
1 7
22.6%
2 5
16.1%
4 3
9.7%
3 3
9.7%
9 3
9.7%
7 3
9.7%
8 2
 
6.5%
0 2
 
6.5%
6 2
 
6.5%
5 1
 
3.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
84.0%
Common 35
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 37
20.1%
길 13
 
7.1%
번 13
 
7.1%
하 8
 
4.3%
대 5
 
2.7%
늘 5
 
2.7%
항 4
 
2.2%
빛 4
 
2.2%
신 3
 
1.6%
도 3
 
1.6%
Other values (47) 89
48.4%
Common
ValueCountFrequency (%)
1 7
20.0%
2 5
14.3%
4
11.4%
4 3
8.6%
3 3
8.6%
9 3
8.6%
7 3
8.6%
8 2
 
5.7%
0 2
 
5.7%
6 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
84.0%
ASCII 35
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 37
20.1%
길 13
 
7.1%
번 13
 
7.1%
하 8
 
4.3%
대 5
 
2.7%
늘 5
 
2.7%
항 4
 
2.2%
빛 4
 
2.2%
신 3
 
1.6%
도 3
 
1.6%
Other values (47) 89
48.4%
ASCII
ValueCountFrequency (%)
1 7
20.0%
2 5
14.3%
4
11.4%
4 3
8.6%
3 3
8.6%
9 3
8.6%
7 3
8.6%
8 2
 
5.7%
0 2
 
5.7%
6 2
 
5.7%

허용 시작 구간 위도
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.482451
Minimum37.44655
Maximum37.523516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T19:13:11.913696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.44655
5-th percentile37.453111
Q137.472625
median37.483284
Q337.493567
95-th percentile37.509169
Maximum37.523516
Range0.076966
Interquartile range (IQR)0.020942

Descriptive statistics

Standard deviation0.017854849
Coefficient of variation (CV)0.00047635223
Kurtosis-0.011636188
Mean37.482451
Median Absolute Deviation (MAD)0.010659
Skewness-0.07333363
Sum1386.8507
Variance0.00031879564
MonotonicityNot monotonic
2023-12-12T19:13:12.098262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.507378 2
 
5.4%
37.492322 1
 
2.7%
37.475075 1
 
2.7%
37.494669 1
 
2.7%
37.492384 1
 
2.7%
37.492006 1
 
2.7%
37.492187 1
 
2.7%
37.472625 1
 
2.7%
37.470043 1
 
2.7%
37.470144 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
37.44655 1
2.7%
37.452333 1
2.7%
37.453305 1
2.7%
37.453875 1
2.7%
37.454947 1
2.7%
37.456676 1
2.7%
37.46931 1
2.7%
37.470043 1
2.7%
37.470144 1
2.7%
37.472625 1
2.7%
ValueCountFrequency (%)
37.523516 1
2.7%
37.516334 1
2.7%
37.507378 2
5.4%
37.495167 1
2.7%
37.494705 1
2.7%
37.494669 1
2.7%
37.494568 1
2.7%
37.49395 1
2.7%
37.493567 1
2.7%
37.492384 1
2.7%

허용 시작 구간 경도
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54602
Minimum126.37505
Maximum126.6313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T19:13:12.308828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.37505
5-th percentile126.4743
Q1126.49689
median126.55601
Q3126.60549
95-th percentile126.62791
Maximum126.6313
Range0.256251
Interquartile range (IQR)0.108602

Descriptive statistics

Standard deviation0.059922201
Coefficient of variation (CV)0.00047352104
Kurtosis0.042116087
Mean126.54602
Median Absolute Deviation (MAD)0.052148
Skewness-0.45826997
Sum4682.2026
Variance0.0035906701
MonotonicityNot monotonic
2023-12-12T19:13:12.469352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.499704 2
 
5.4%
126.576473 1
 
2.7%
126.631299 1
 
2.7%
126.49056 1
 
2.7%
126.490321 1
 
2.7%
126.578827 1
 
2.7%
126.577165 1
 
2.7%
126.619605 1
 
2.7%
126.625972 1
 
2.7%
126.627578 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
126.375048 1
2.7%
126.473873 1
2.7%
126.474403 1
2.7%
126.475639 1
2.7%
126.488136 1
2.7%
126.488164 1
2.7%
126.490321 1
2.7%
126.49038 1
2.7%
126.49056 1
2.7%
126.496889 1
2.7%
ValueCountFrequency (%)
126.631299 1
2.7%
126.629253 1
2.7%
126.627578 1
2.7%
126.625972 1
2.7%
126.619605 1
2.7%
126.610576 1
2.7%
126.608162 1
2.7%
126.607325 1
2.7%
126.605613 1
2.7%
126.605491 1
2.7%

허용 끝 구간 위도
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.483232
Minimum37.449939
Maximum37.527477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T19:13:12.610676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.449939
5-th percentile37.453365
Q137.470178
median37.486182
Q337.492758
95-th percentile37.521188
Maximum37.527477
Range0.077538
Interquartile range (IQR)0.02258

Descriptive statistics

Standard deviation0.018637315
Coefficient of variation (CV)0.0004972174
Kurtosis0.27340309
Mean37.483232
Median Absolute Deviation (MAD)0.01081
Skewness0.32396583
Sum1386.8796
Variance0.00034734952
MonotonicityNot monotonic
2023-12-12T19:13:12.783424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.485681 2
 
5.4%
37.475047 1
 
2.7%
37.494663 1
 
2.7%
37.494473 1
 
2.7%
37.492475 1
 
2.7%
37.491671 1
 
2.7%
37.491564 1
 
2.7%
37.470178 1
 
2.7%
37.470058 1
 
2.7%
37.491748 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
37.449939 1
2.7%
37.45333 1
2.7%
37.453374 1
2.7%
37.457122 1
2.7%
37.458313 1
2.7%
37.459131 1
2.7%
37.466901 1
2.7%
37.467626 1
2.7%
37.470058 1
2.7%
37.470178 1
2.7%
ValueCountFrequency (%)
37.527477 1
2.7%
37.524166 1
2.7%
37.520444 1
2.7%
37.499638 1
2.7%
37.499474 1
2.7%
37.494663 1
2.7%
37.494473 1
2.7%
37.493975 1
2.7%
37.492955 1
2.7%
37.492758 1
2.7%

허용 끝 구간 경도
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55086
Minimum126.37185
Maximum126.63472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T19:13:12.946697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.37185
5-th percentile126.48295
Q1126.49372
median126.56739
Q3126.60509
95-th percentile126.63178
Maximum126.63472
Range0.262867
Interquartile range (IQR)0.111365

Descriptive statistics

Standard deviation0.060651425
Coefficient of variation (CV)0.00047926523
Kurtosis0.26577095
Mean126.55086
Median Absolute Deviation (MAD)0.049613
Skewness-0.603877
Sum4682.3817
Variance0.0036785954
MonotonicityNot monotonic
2023-12-12T19:13:13.096209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.569583 2
 
5.4%
126.631217 1
 
2.7%
126.490408 1
 
2.7%
126.493249 1
 
2.7%
126.488671 1
 
2.7%
126.582243 1
 
2.7%
126.578659 1
 
2.7%
126.623866 1
 
2.7%
126.62724 1
 
2.7%
126.582223 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
126.371854 1
2.7%
126.48276 1
2.7%
126.483003 1
2.7%
126.48325 1
2.7%
126.488111 1
2.7%
126.488191 1
2.7%
126.488671 1
2.7%
126.490408 1
2.7%
126.493249 1
2.7%
126.49372 1
2.7%
ValueCountFrequency (%)
126.634721 1
2.7%
126.634035 1
2.7%
126.631217 1
2.7%
126.62724 1
2.7%
126.623866 1
2.7%
126.614562 1
2.7%
126.609593 1
2.7%
126.606815 1
2.7%
126.606622 1
2.7%
126.605085 1
2.7%

주차가능대수
Real number (ℝ)

Distinct27
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.32432
Minimum10
Maximum1840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T19:13:13.242041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile17.2
Q140
median100
Q3320
95-th percentile736
Maximum1840
Range1830
Interquartile range (IQR)280

Descriptive statistics

Standard deviation361.28406
Coefficient of variation (CV)1.4432639
Kurtosis10.313864
Mean250.32432
Median Absolute Deviation (MAD)80
Skewness2.9086144
Sum9262
Variance130526.17
MonotonicityNot monotonic
2023-12-12T19:13:13.691885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 3
 
8.1%
500 3
 
8.1%
20 3
 
8.1%
74 2
 
5.4%
10 2
 
5.4%
100 2
 
5.4%
220 2
 
5.4%
600 1
 
2.7%
190 1
 
2.7%
71 1
 
2.7%
Other values (17) 17
45.9%
ValueCountFrequency (%)
10 2
5.4%
19 1
 
2.7%
20 3
8.1%
22 1
 
2.7%
35 1
 
2.7%
40 3
8.1%
57 1
 
2.7%
71 1
 
2.7%
74 2
5.4%
87 1
 
2.7%
ValueCountFrequency (%)
1840 1
 
2.7%
1120 1
 
2.7%
640 1
 
2.7%
600 1
 
2.7%
520 1
 
2.7%
500 3
8.1%
380 1
 
2.7%
320 1
 
2.7%
280 1
 
2.7%
220 2
5.4%

평일주정차 허용여부
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size169.0 B
False
26 
True
11 
ValueCountFrequency (%)
False 26
70.3%
True 11
29.7%
2023-12-12T19:13:13.821005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평일주정차허용시간
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing26
Missing (%)70.3%
Memory size428.0 B
2023-12-12T19:13:13.959613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.181818
Min length11

Characters and Unicode

Total characters123
Distinct characters10
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)18.2%

Sample

1st row20:00~07:00
2nd row20:00~07:00
3rd row09:00~22:00
4th row09:00~22:00
5th row09:00~22:00
ValueCountFrequency (%)
09:00~22:00 5
45.5%
20:00~07:00 2
 
18.2%
22:00~06:00 2
 
18.2%
09:00~17:00 1
 
9.1%
00:00~08:00 1
 
9.1%
2023-12-12T19:13:14.253005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
48.0%
: 22
 
17.9%
2 16
 
13.0%
~ 11
 
8.9%
9 6
 
4.9%
7 3
 
2.4%
2
 
1.6%
6 2
 
1.6%
1 1
 
0.8%
8 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
71.5%
Other Punctuation 22
 
17.9%
Math Symbol 11
 
8.9%
Space Separator 2
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
67.0%
2 16
 
18.2%
9 6
 
6.8%
7 3
 
3.4%
6 2
 
2.3%
1 1
 
1.1%
8 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 123
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
48.0%
: 22
 
17.9%
2 16
 
13.0%
~ 11
 
8.9%
9 6
 
4.9%
7 3
 
2.4%
2
 
1.6%
6 2
 
1.6%
1 1
 
0.8%
8 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
48.0%
: 22
 
17.9%
2 16
 
13.0%
~ 11
 
8.9%
9 6
 
4.9%
7 3
 
2.4%
2
 
1.6%
6 2
 
1.6%
1 1
 
0.8%
8 1
 
0.8%

주말 공휴일 주정차 허용여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size169.0 B
True
36 
False
 
1
ValueCountFrequency (%)
True 36
97.3%
False 1
 
2.7%
2023-12-12T19:13:14.402924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주말 공휴일주정차 허용시간
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
00:00~23:59
25 
09:00~22:00
7 
06:00~22:00
3 
<NA>
 
1
06:00~18:00
 
1

Length

Max length11
Median length11
Mean length10.810811
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row00:00~23:59
2nd row00:00~23:59
3rd row00:00~23:59
4th row00:00~23:59
5th row00:00~23:59

Common Values

ValueCountFrequency (%)
00:00~23:59 25
67.6%
09:00~22:00 7
 
18.9%
06:00~22:00 3
 
8.1%
<NA> 1
 
2.7%
06:00~18:00 1
 
2.7%

Length

2023-12-12T19:13:14.558493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:14.694860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00~23:59 25
67.6%
09:00~22:00 7
 
18.9%
06:00~22:00 3
 
8.1%
na 1
 
2.7%
06:00~18:00 1
 
2.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
인천광역시 중구청
37 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 중구청
2nd row인천광역시 중구청
3rd row인천광역시 중구청
4th row인천광역시 중구청
5th row인천광역시 중구청

Common Values

ValueCountFrequency (%)
인천광역시 중구청 37
100.0%

Length

2023-12-12T19:13:14.825554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:14.933015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 37
50.0%
중구청 37
50.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
032-760-7754
26 
032-760-7684
11 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-760-7754
2nd row032-760-7754
3rd row032-760-7754
4th row032-760-7754
5th row032-760-7754

Common Values

ValueCountFrequency (%)
032-760-7754 26
70.3%
032-760-7684 11
29.7%

Length

2023-12-12T19:13:15.064685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:15.201368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-760-7754 26
70.3%
032-760-7684 11
29.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2023-09-20 00:00:00
Maximum2023-09-20 00:00:00
2023-12-12T19:13:15.364269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.471798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:13:09.597038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.352667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.855729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.371163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.981118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.701458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.453810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.947398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.483092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.128754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.796399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.543768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.023298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.610922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.246218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.915920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.650748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.137520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.732439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.381937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:10.014050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:07.755849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.245604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:08.853948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:09.486808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:13:15.568224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명허용 시작 구간 위도허용 시작 구간 경도허용 끝 구간 위도허용 끝 구간 경도주차가능대수평일주정차 허용여부평일주정차허용시간주말 공휴일 주정차 허용여부주말 공휴일주정차 허용시간관리기관전화번호
도로명1.0000.0000.9781.0001.0000.9770.0000.6540.0000.9431.000
허용 시작 구간 위도0.0001.0000.7370.7700.7270.5050.3160.8490.0000.5920.780
허용 시작 구간 경도0.9780.7371.0000.8640.8960.5440.5550.8340.0000.7431.000
허용 끝 구간 위도1.0000.7700.8641.0000.7740.6570.0000.9220.0000.6170.986
허용 끝 구간 경도1.0000.7270.8960.7741.0000.6540.3020.8340.0000.3230.822
주차가능대수0.9770.5050.5440.6570.6541.0000.1720.0000.0000.0000.457
평일주정차 허용여부0.0000.3160.5550.0000.3020.1721.000NaN0.0000.6130.000
평일주정차허용시간0.6540.8490.8340.9220.8340.000NaN1.0001.0001.0001.000
주말 공휴일 주정차 허용여부0.0000.0000.0000.0000.0000.0000.0001.0001.000NaN0.000
주말 공휴일주정차 허용시간0.9430.5920.7430.6170.3230.0000.6131.000NaN1.0000.733
관리기관전화번호1.0000.7801.0000.9860.8220.4570.0001.0000.0000.7331.000
2023-12-12T19:13:15.730397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주말 공휴일주정차 허용시간평일주정차 허용여부관리기관전화번호주말 공휴일 주정차 허용여부
주말 공휴일주정차 허용시간1.0000.4090.5091.000
평일주정차 허용여부0.4091.0000.0000.000
관리기관전화번호0.5090.0001.0000.000
주말 공휴일 주정차 허용여부1.0000.0000.0001.000
2023-12-12T19:13:15.869400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허용 시작 구간 위도허용 시작 구간 경도허용 끝 구간 위도허용 끝 구간 경도주차가능대수평일주정차 허용여부주말 공휴일 주정차 허용여부주말 공휴일주정차 허용시간관리기관전화번호
허용 시작 구간 위도1.000-0.5220.913-0.4970.2260.2730.0000.3820.714
허용 시작 구간 경도-0.5221.000-0.5450.963-0.3920.3760.0000.3780.910
허용 끝 구간 위도0.913-0.5451.000-0.4980.3200.0000.0000.2840.814
허용 끝 구간 경도-0.4970.963-0.4981.000-0.3360.2930.0000.2050.824
주차가능대수0.226-0.3920.320-0.3361.0000.0980.0000.0000.305
평일주정차 허용여부0.2730.3760.0000.2930.0981.0000.0000.4090.000
주말 공휴일 주정차 허용여부0.0000.0000.0000.0000.0000.0001.0001.0000.000
주말 공휴일주정차 허용시간0.3820.3780.2840.2050.0000.4091.0001.0000.509
관리기관전화번호0.7140.9100.8140.8240.3050.0000.0000.5091.000

Missing values

2023-12-12T19:13:10.161106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:13:10.426490image/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

시도명시군구명시군구코드도로명허용 시작 구간 위도허용 시작 구간 경도허용 끝 구간 위도허용 끝 구간 경도주차가능대수평일주정차 허용여부평일주정차허용시간주말 공휴일 주정차 허용여부주말 공휴일주정차 허용시간관리기관명관리기관전화번호데이터기준일
0인천광역시중구28110은하수로37.492322126.57647337.491748126.582223100N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
1인천광역시중구28110하늘별빛로37.494568126.55601437.485681126.569583320N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
2인천광역시중구28110하늘중앙로37.483511126.55490737.499638126.573165500N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
3인천광역시중구28110하늘달빛로37.487108126.55692637.481611126.565283190N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
4인천광역시중구28110하늘달빛로2번길37.481611126.56528337.485681126.569583120N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
5인천광역시중구28110자연대로37.489244126.55891637.486318126.563446100N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
6인천광역시중구28110미단중앙로37.516334126.53257537.524166126.511106220N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
7인천광역시중구28110미단행운로37.523516126.5277237.527477126.517781600N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
8인천광역시중구28110영종순환로37.507378126.49970437.520444126.5388111120N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
9인천광역시중구28110햇내로37.507378126.49970437.492955126.498828220N<NA>Y00:00~23:59인천광역시 중구청032-760-77542023-09-20
시도명시군구명시군구코드도로명허용 시작 구간 위도허용 시작 구간 경도허용 끝 구간 위도허용 끝 구간 경도주차가능대수평일주정차 허용여부평일주정차허용시간주말 공휴일 주정차 허용여부주말 공휴일주정차 허용시간관리기관명관리기관전화번호데이터기준일
27인천광역시중구28110제물량로37.470043126.62597237.470058126.6272410Y09:00~17:00N<NA>인천광역시 중구청032-760-76842023-09-20
28인천광역시중구28110우현로37.470144126.62757837.475047126.63121790Y22:00~06:00Y00:00~23:59인천광역시 중구청032-760-76842023-09-20
29인천광역시중구28110참외전로37.475075126.63129937.473104126.63472140N<NA>Y09:00~22:00인천광역시 중구청032-760-76842023-09-20
30인천광역시중구28110제물량로37.46931126.62925337.466901126.63403587Y22:00~06:00Y00:00~23:59인천광역시 중구청032-760-76842023-09-20
31인천광역시중구28110연안부두로37.453305126.59854637.457122126.60508597N<NA>Y06:00~22:00인천광역시 중구청032-760-76842023-09-20
32인천광역시중구28110축항대로 87번길37.456676126.60732537.458313126.60959357N<NA>Y06:00~22:00인천광역시 중구청032-760-76842023-09-20
33인천광역시중구28110축항대로 118번길37.452333126.60816237.449939126.60662235N<NA>Y09:00~22:00인천광역시 중구청032-760-76842023-09-20
34인천광역시중구28110축항대로37.454947126.61057637.45333126.61456222N<NA>Y06:00~18:00인천광역시 중구청032-760-76842023-09-20
35인천광역시중구28110월미로37.475884126.60561337.467626126.60455771N<NA>Y06:00~22:00인천광역시 중구청032-760-76842023-09-20
36인천광역시중구28110연안부두로33번길37.453875126.60549137.453374126.60681520Y00:00~08:00Y00:00~23:59인천광역시 중구청032-760-76842023-09-20