Overview

Dataset statistics

Number of variables6
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows16
Duplicate rows (%)40.0%
Total size in memory2.0 KiB
Average record size in memory52.3 B

Variable types

Categorical3
Text2
Numeric1

Dataset

Description해당 데이터는 인천광역시 남동구의 소래포구 주차장현황에 관련된 자료로서, 인천광역시 남동구 소래포구 주차장현황의 구분, 주차장명, 위치, 주차면, 주차료, 비고의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105792&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 16 (40.0%) duplicate rowsDuplicates
주차료 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 주차면 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 주차료 and 1 other fieldsHigh correlation
주차면 is highly overall correlated with 비고High correlation

Reproduction

Analysis started2024-01-28 05:58:36.318954
Analysis finished2024-01-28 05:58:36.773198
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
민간주차장
18 
공영주차장
12 
임시주차장
10 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간주차장 18
45.0%
공영주차장 12
30.0%
임시주차장 10
25.0%

Length

2024-01-28T14:58:36.821415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:58:36.896689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간주차장 18
45.0%
공영주차장 12
30.0%
임시주차장 10
25.0%

주차장명
Text

Distinct20
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T14:58:37.022394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7.5
Mean length6.15
Min length4

Characters and Unicode

Total characters246
Distinct characters45
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

Unique0 ?
Unique (%)0.0%

Sample

1st row장도로주차장
2nd row소래 제1주차장
3rd row소래 제2주차장
4th row소래 제4주차장
5th row소래 제5주차장
ValueCountFrequency (%)
소래 8
 
16.7%
장도로주차장 2
 
4.2%
나루터주차장 2
 
4.2%
소래역남로16번길 2
 
4.2%
앵고개로 2
 
4.2%
소래역로 2
 
4.2%
청능대로 2
 
4.2%
중앙타워주차장 2
 
4.2%
소래포구주차장 2
 
4.2%
소래포구역주차장 2
 
4.2%
Other values (11) 22
45.8%
2024-01-28T14:58:37.260918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 32
13.0%
주 30
 
12.2%
차 30
 
12.2%
소 18
 
7.3%
래 18
 
7.3%
로 12
 
4.9%
8
 
3.3%
제 8
 
3.3%
역 6
 
2.4%
대 6
 
2.4%
Other values (35) 78
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
91.9%
Decimal Number 12
 
4.9%
Space Separator 8
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 32
14.2%
주 30
13.3%
차 30
13.3%
소 18
 
8.0%
래 18
 
8.0%
로 12
 
5.3%
제 8
 
3.5%
역 6
 
2.7%
대 6
 
2.7%
남 4
 
1.8%
Other values (29) 62
27.4%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
6 2
16.7%
2 2
16.7%
4 2
16.7%
5 2
16.7%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
91.9%
Common 20
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 32
14.2%
주 30
13.3%
차 30
13.3%
소 18
 
8.0%
래 18
 
8.0%
로 12
 
5.3%
제 8
 
3.5%
역 6
 
2.7%
대 6
 
2.7%
남 4
 
1.8%
Other values (29) 62
27.4%
Common
ValueCountFrequency (%)
8
40.0%
1 4
20.0%
6 2
 
10.0%
2 2
 
10.0%
4 2
 
10.0%
5 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
91.9%
ASCII 20
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 32
14.2%
주 30
13.3%
차 30
13.3%
소 18
 
8.0%
래 18
 
8.0%
로 12
 
5.3%
제 8
 
3.5%
역 6
 
2.7%
대 6
 
2.7%
남 4
 
1.8%
Other values (29) 62
27.4%
ASCII
ValueCountFrequency (%)
8
40.0%
1 4
20.0%
6 2
 
10.0%
2 2
 
10.0%
4 2
 
10.0%
5 2
 
10.0%

위치
Text

Distinct21
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T14:58:37.420930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.525
Min length7

Characters and Unicode

Total characters381
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row논현동 728-10
2nd row논현동 754-4
3rd row논현동 750-2
4th row논현동 111-329
5th row논현동 66-99
ValueCountFrequency (%)
논현동 10
 
18.5%
논현동111-143 2
 
3.7%
논현동성당입구 2
 
3.7%
주공4단지 2
 
3.7%
종합어시장입구 2
 
3.7%
논현순복음교회 2
 
3.7%
11단지건너편 2
 
3.7%
논현동678-5 2
 
3.7%
논현동111-36 2
 
3.7%
논현동731-7 2
 
3.7%
Other values (14) 26
48.1%
2024-01-28T14:58:37.660622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 75
19.7%
논 34
 
8.9%
현 34
 
8.9%
동 32
 
8.4%
- 30
 
7.9%
6 16
 
4.2%
3 14
 
3.7%
14
 
3.7%
5 13
 
3.4%
7 11
 
2.9%
Other values (31) 108
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
45.1%
Decimal Number 161
42.3%
Dash Punctuation 30
 
7.9%
Space Separator 14
 
3.7%
Math Symbol 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
논 34
19.8%
현 34
19.8%
동 32
18.6%
단 8
 
4.7%
지 8
 
4.7%
입 4
 
2.3%
구 4
 
2.3%
편 4
 
2.3%
코 4
 
2.3%
에 4
 
2.3%
Other values (18) 36
20.9%
Decimal Number
ValueCountFrequency (%)
1 75
46.6%
6 16
 
9.9%
3 14
 
8.7%
5 13
 
8.1%
7 11
 
6.8%
4 9
 
5.6%
2 9
 
5.6%
9 6
 
3.7%
0 5
 
3.1%
8 3
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
54.9%
Hangul 172
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
논 34
19.8%
현 34
19.8%
동 32
18.6%
단 8
 
4.7%
지 8
 
4.7%
입 4
 
2.3%
구 4
 
2.3%
편 4
 
2.3%
코 4
 
2.3%
에 4
 
2.3%
Other values (18) 36
20.9%
Common
ValueCountFrequency (%)
1 75
35.9%
- 30
 
14.4%
6 16
 
7.7%
3 14
 
6.7%
14
 
6.7%
5 13
 
6.2%
7 11
 
5.3%
4 9
 
4.3%
2 9
 
4.3%
9 6
 
2.9%
Other values (3) 12
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
54.9%
Hangul 172
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 75
35.9%
- 30
 
14.4%
6 16
 
7.7%
3 14
 
6.7%
14
 
6.7%
5 13
 
6.2%
7 11
 
5.3%
4 9
 
4.3%
2 9
 
4.3%
9 6
 
2.9%
Other values (3) 12
 
5.7%
Hangul
ValueCountFrequency (%)
논 34
19.8%
현 34
19.8%
동 32
18.6%
단 8
 
4.7%
지 8
 
4.7%
입 4
 
2.3%
구 4
 
2.3%
편 4
 
2.3%
코 4
 
2.3%
에 4
 
2.3%
Other values (18) 36
20.9%

주차면
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.85
Minimum23
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T14:58:37.762677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile34.4
Q141
median80
Q3173.75
95-th percentile300
Maximum423
Range400
Interquartile range (IQR)132.75

Descriptive statistics

Standard deviation105.7148
Coefficient of variation (CV)0.81413011
Kurtosis0.0088090672
Mean129.85
Median Absolute Deviation (MAD)44.5
Skewness1.0446361
Sum5194
Variance11175.618
MonotonicityNot monotonic
2024-01-28T14:58:37.859254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
300 4
 
10.0%
260 3
 
7.5%
64 2
 
5.0%
41 2
 
5.0%
140 2
 
5.0%
80 2
 
5.0%
139 2
 
5.0%
37 2
 
5.0%
145 2
 
5.0%
36 2
 
5.0%
Other values (11) 17
42.5%
ValueCountFrequency (%)
23 2
5.0%
35 2
5.0%
36 2
5.0%
37 2
5.0%
40 1
2.5%
41 2
5.0%
55 2
5.0%
64 2
5.0%
70 2
5.0%
72 2
5.0%
ValueCountFrequency (%)
423 1
 
2.5%
300 4
10.0%
276 2
5.0%
260 3
7.5%
145 2
5.0%
140 2
5.0%
139 2
5.0%
115 1
 
2.5%
109 1
 
2.5%
101 1
 
2.5%

주차료
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
유료
30 
무료
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 30
75.0%
무료 10
 
25.0%

Length

2024-01-28T14:58:37.961067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:58:38.033324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 30
75.0%
무료 10
 
25.0%

비고
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
30 
750m 양방향(축제기간만 운영)
4 
700m 단방향(축제기간만 운영)
 
2
650m양방향(축제기간만 운영)
 
2
350m양방향(축제기간만 운영)
 
2

Length

Max length18
Median length4
Mean length7.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 30
75.0%
750m 양방향(축제기간만 운영) 4
 
10.0%
700m 단방향(축제기간만 운영) 2
 
5.0%
650m양방향(축제기간만 운영) 2
 
5.0%
350m양방향(축제기간만 운영) 2
 
5.0%

Length

2024-01-28T14:58:38.132698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:58:38.227663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
53.6%
운영 10
 
17.9%
750m 4
 
7.1%
양방향(축제기간만 4
 
7.1%
700m 2
 
3.6%
단방향(축제기간만 2
 
3.6%
650m양방향(축제기간만 2
 
3.6%
350m양방향(축제기간만 2
 
3.6%

Interactions

2024-01-28T14:58:36.578023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:58:38.312528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분주차장명위치주차면주차료비고
구분1.0001.0001.0000.4951.000NaN
주차장명1.0001.0001.0000.9711.0001.000
위치1.0001.0001.0000.9921.0001.000
주차면0.4950.9710.9921.0000.4501.000
주차료1.0001.0001.0000.4501.000NaN
비고NaN1.0001.0001.000NaN1.000
2024-01-28T14:58:38.404280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차료비고구분
주차료1.0001.0000.987
비고1.0001.0001.000
구분0.9871.0001.000
2024-01-28T14:58:38.476355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면구분주차료비고
주차면1.0000.3560.4471.000
구분0.3561.0000.9871.000
주차료0.4470.9871.0001.000
비고1.0001.0001.0001.000

Missing values

2024-01-28T14:58:36.665511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:58:36.742290image/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

구분주차장명위치주차면주차료비고
0공영주차장장도로주차장논현동 728-1064유료<NA>
1공영주차장소래 제1주차장논현동 754-4423유료<NA>
2공영주차장소래 제2주차장논현동 750-2109유료<NA>
3공영주차장소래 제4주차장논현동 111-32923유료<NA>
4공영주차장소래 제5주차장논현동 66-99101유료<NA>
5공영주차장생태공원주차장논현동66-12276유료<NA>
6민간주차장대양주차장논현동111-30155유료<NA>
7민간주차장백두주차장논현동111-16335유료<NA>
8민간주차장소래주차장논현동111-1172유료<NA>
9민간주차장삼신주차장논현동111-15570유료<NA>
구분주차장명위치주차면주차료비고
30민간주차장나루터주차장논현동111-14341유료<NA>
31민간주차장영남주차장논현동111-5636유료<NA>
32민간주차장소래포구역주차장논현동731-7145유료<NA>
33민간주차장소래포구주차장논현동111-3637유료<NA>
34민간주차장중앙타워주차장논현동678-5139유료<NA>
35임시주차장청능대로11단지건너편80무료700m 단방향(축제기간만 운영)
36임시주차장소래역로논현순복음교회~ 종합어시장입구260무료650m양방향(축제기간만 운영)
37임시주차장앵고개로주공4단지~ 논현동성당입구300무료750m 양방향(축제기간만 운영)
38임시주차장소래역남로16번길에코3단지뒤편140무료350m양방향(축제기간만 운영)
39임시주차장아암대로에코12단지앞300무료750m 양방향(축제기간만 운영)

Duplicate rows

Most frequently occurring

구분주차장명위치주차면주차료비고# duplicates
0공영주차장생태공원주차장논현동66-12276유료<NA>2
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