Overview

Dataset statistics

Number of variables18
Number of observations36
Missing cells33
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory152.7 B

Variable types

Numeric3
DateTime1
Categorical10
Text4

Dataset

Description광진구 공영주차장 관리 정보 제공(운영개시일, 동명, 시설명, 위치, 부지면적, 주차요금, 운영방법, 급지등)
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15006556/fileData.do

Alerts

급지 is highly overall correlated with 거주자 and 4 other fieldsHigh correlation
공영 is highly overall correlated with 연번 and 11 other fieldsHigh correlation
주차요금 5분당 is highly overall correlated with 주차면수 노상 and 4 other fieldsHigh correlation
주차요금 종일 is highly overall correlated with 주차면수 노상 and 5 other fieldsHigh correlation
거주자 is highly overall correlated with 연번 and 10 other fieldsHigh correlation
주차면수 노상 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
동명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
주차요금 야간 is highly overall correlated with 주차면수 노상 and 5 other fieldsHigh correlation
비고 is highly overall correlated with 거주자 and 1 other fieldsHigh correlation
주차요금 주간 is highly overall correlated with 거주자 and 4 other fieldsHigh correlation
연번 is highly overall correlated with 동명 and 3 other fieldsHigh correlation
주차면수 소계 is highly overall correlated with 주차면수 노외 and 3 other fieldsHigh correlation
주차면수 노외 is highly overall correlated with 주차면수 소계 and 3 other fieldsHigh correlation
주차면수 노상 is highly imbalanced (60.3%)Imbalance
부지면적 has 4 (11.1%) missing valuesMissing
주차면수 노외 has 2 (5.6%) missing valuesMissing
시설규모 has 27 (75.0%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
위치 has unique valuesUnique
주차면수 노외 has 1 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-12 05:48:40.080816
Analysis finished2023-12-12 05:48:42.985164
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T14:48:43.046062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-12T14:48:43.175700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

운영개시일
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum1994-01-01 00:00:00
Maximum2017-01-01 00:00:00
2023-12-12T14:48:43.296645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:43.444940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

동명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
중곡4동
8 
구의2동
3 
구의3동
3 
광장동
3 
화양동
3 
Other values (10)
16 

Length

Max length4
Median length4
Mean length3.6666667
Min length2

Unique

Unique4 ?
Unique (%)11.1%

Sample

1st row중곡1동
2nd row중곡2동
3rd row중곡2동
4th row중곡3동
5th row중곡3동

Common Values

ValueCountFrequency (%)
중곡4동 8
22.2%
구의2동 3
 
8.3%
구의3동 3
 
8.3%
광장동 3
 
8.3%
화양동 3
 
8.3%
중곡2동 2
 
5.6%
중곡3동 2
 
5.6%
능동 2
 
5.6%
구의1동 2
 
5.6%
자양4동 2
 
5.6%
Other values (5) 6
16.7%

Length

2023-12-12T14:48:43.641941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중곡4동 8
22.2%
구의2동 3
 
8.3%
구의3동 3
 
8.3%
광장동 3
 
8.3%
화양동 3
 
8.3%
중곡2동 2
 
5.6%
중곡3동 2
 
5.6%
능동 2
 
5.6%
구의1동 2
 
5.6%
자양4동 2
 
5.6%
Other values (5) 6
16.7%

시설명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T14:48:43.918310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.3611111
Min length2

Characters and Unicode

Total characters229
Distinct characters92
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

Unique36 ?
Unique (%)100.0%

Sample

1st row중곡제일전통시장 공영
2nd row장신구
3rd row중곡동복개천
4th row중곡3동마을공원
5th row중곡체육센터
ValueCountFrequency (%)
공영 9
 
18.4%
화양동 2
 
4.1%
중곡제일전통시장 1
 
2.0%
광장공동 1
 
2.0%
광문학당 1
 
2.0%
공원(동의초인근 1
 
2.0%
자양전통시장 1
 
2.0%
동서울길 1
 
2.0%
구의3동 1
 
2.0%
올림픽대교(시영 1
 
2.0%
Other values (30) 30
61.2%
2023-12-12T14:48:44.339205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 18
 
7.9%
동 18
 
7.9%
14
 
6.1%
영 13
 
5.7%
장 8
 
3.5%
중 5
 
2.2%
양 5
 
2.2%
곡 5
 
2.2%
의 5
 
2.2%
마 5
 
2.2%
Other values (82) 133
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
85.2%
Space Separator 14
 
6.1%
Decimal Number 11
 
4.8%
Open Punctuation 4
 
1.7%
Close Punctuation 4
 
1.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 18
 
9.2%
동 18
 
9.2%
영 13
 
6.7%
장 8
 
4.1%
중 5
 
2.6%
양 5
 
2.6%
곡 5
 
2.6%
의 5
 
2.6%
마 5
 
2.6%
구 5
 
2.6%
Other values (71) 108
55.4%
Decimal Number
ValueCountFrequency (%)
9 2
18.2%
4 2
18.2%
3 2
18.2%
2 2
18.2%
5 1
9.1%
6 1
9.1%
1 1
9.1%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
85.2%
Common 34
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 18
 
9.2%
동 18
 
9.2%
영 13
 
6.7%
장 8
 
4.1%
중 5
 
2.6%
양 5
 
2.6%
곡 5
 
2.6%
의 5
 
2.6%
마 5
 
2.6%
구 5
 
2.6%
Other values (71) 108
55.4%
Common
ValueCountFrequency (%)
14
41.2%
( 4
 
11.8%
) 4
 
11.8%
9 2
 
5.9%
4 2
 
5.9%
3 2
 
5.9%
2 2
 
5.9%
5 1
 
2.9%
- 1
 
2.9%
6 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
85.2%
ASCII 34
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 18
 
9.2%
동 18
 
9.2%
영 13
 
6.7%
장 8
 
4.1%
중 5
 
2.6%
양 5
 
2.6%
곡 5
 
2.6%
의 5
 
2.6%
마 5
 
2.6%
구 5
 
2.6%
Other values (71) 108
55.4%
ASCII
ValueCountFrequency (%)
14
41.2%
( 4
 
11.8%
) 4
 
11.8%
9 2
 
5.9%
4 2
 
5.9%
3 2
 
5.9%
2 2
 
5.9%
5 1
 
2.9%
- 1
 
2.9%
6 1
 
2.9%

위치
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T14:48:44.578488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.6388889
Min length6

Characters and Unicode

Total characters347
Distinct characters30
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

Unique36 ?
Unique (%)100.0%

Sample

1st row중곡1동 221-6
2nd row중곡2동 133-10
3rd row중곡2동 150-196
4th row중곡3동 195-1
5th row중곡3동 168-8
ValueCountFrequency (%)
중곡4동 7
 
9.1%
구의3동 3
 
3.9%
화양동 3
 
3.9%
일대 3
 
3.9%
광장동 3
 
3.9%
구의2동 3
 
3.9%
외 2
 
2.6%
중곡3동 2
 
2.6%
중곡2동 2
 
2.6%
자양4동 2
 
2.6%
Other values (44) 47
61.0%
2023-12-12T14:48:44.998739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
11.8%
동 36
 
10.4%
1 33
 
9.5%
- 28
 
8.1%
2 25
 
7.2%
3 21
 
6.1%
4 19
 
5.5%
7 15
 
4.3%
6 13
 
3.7%
중 12
 
3.5%
Other values (20) 104
30.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 163
47.0%
Other Letter 115
33.1%
Space Separator 41
 
11.8%
Dash Punctuation 28
 
8.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
31.3%
중 12
 
10.4%
곡 12
 
10.4%
양 8
 
7.0%
구 8
 
7.0%
의 8
 
7.0%
자 7
 
6.1%
대 3
 
2.6%
일 3
 
2.6%
광 3
 
2.6%
Other values (8) 15
13.0%
Decimal Number
ValueCountFrequency (%)
1 33
20.2%
2 25
15.3%
3 21
12.9%
4 19
11.7%
7 15
9.2%
6 13
 
8.0%
5 12
 
7.4%
0 10
 
6.1%
9 9
 
5.5%
8 6
 
3.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 232
66.9%
Hangul 115
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
31.3%
중 12
 
10.4%
곡 12
 
10.4%
양 8
 
7.0%
구 8
 
7.0%
의 8
 
7.0%
자 7
 
6.1%
대 3
 
2.6%
일 3
 
2.6%
광 3
 
2.6%
Other values (8) 15
13.0%
Common
ValueCountFrequency (%)
41
17.7%
1 33
14.2%
- 28
12.1%
2 25
10.8%
3 21
9.1%
4 19
8.2%
7 15
 
6.5%
6 13
 
5.6%
5 12
 
5.2%
0 10
 
4.3%
Other values (2) 15
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 232
66.9%
Hangul 115
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
17.7%
1 33
14.2%
- 28
12.1%
2 25
10.8%
3 21
9.1%
4 19
8.2%
7 15
 
6.5%
6 13
 
5.6%
5 12
 
5.2%
0 10
 
4.3%
Other values (2) 15
 
6.5%
Hangul
ValueCountFrequency (%)
동 36
31.3%
중 12
 
10.4%
곡 12
 
10.4%
양 8
 
7.0%
구 8
 
7.0%
의 8
 
7.0%
자 7
 
6.1%
대 3
 
2.6%
일 3
 
2.6%
광 3
 
2.6%
Other values (8) 15
13.0%

부지면적
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing4
Missing (%)11.1%
Memory size420.0 B
2023-12-12T14:48:45.244988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.40625
Min length3

Characters and Unicode

Total characters173
Distinct characters12
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

Unique32 ?
Unique (%)100.0%

Sample

1st row695
2nd row531
3rd row3038.3
4th row3,690.00
5th row137
ValueCountFrequency (%)
1,170.60 1
 
3.1%
3038.3 1
 
3.1%
9,000.00 1
 
3.1%
627.4 1
 
3.1%
1,237.40 1
 
3.1%
121 1
 
3.1%
441 1
 
3.1%
512 1
 
3.1%
447.5 1
 
3.1%
1,988.40 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T14:48:45.634587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
16.2%
1 26
15.0%
. 20
11.6%
4 14
8.1%
7 13
7.5%
, 12
6.9%
3 12
6.9%
5 12
6.9%
6 11
 
6.4%
2 10
 
5.8%
Other values (2) 15
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 141
81.5%
Other Punctuation 32
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
19.9%
1 26
18.4%
4 14
9.9%
7 13
9.2%
3 12
8.5%
5 12
8.5%
6 11
 
7.8%
2 10
 
7.1%
9 9
 
6.4%
8 6
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 20
62.5%
, 12
37.5%

Most occurring scripts

ValueCountFrequency (%)
Common 173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
16.2%
1 26
15.0%
. 20
11.6%
4 14
8.1%
7 13
7.5%
, 12
6.9%
3 12
6.9%
5 12
6.9%
6 11
 
6.4%
2 10
 
5.8%
Other values (2) 15
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
16.2%
1 26
15.0%
. 20
11.6%
4 14
8.1%
7 13
7.5%
, 12
6.9%
3 12
6.9%
5 12
6.9%
6 11
 
6.4%
2 10
 
5.8%
Other values (2) 15
8.7%

주차면수 소계
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.416667
Minimum6
Maximum281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T14:48:45.835739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.75
Q112.75
median26
Q377.25
95-th percentile164.5
Maximum281
Range275
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation59.910111
Coefficient of variation (CV)1.1429592
Kurtosis5.3163446
Mean52.416667
Median Absolute Deviation (MAD)18
Skewness2.1572269
Sum1887
Variance3589.2214
MonotonicityNot monotonic
2023-12-12T14:48:45.971770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
53 3
 
8.3%
7 2
 
5.6%
8 2
 
5.6%
25 2
 
5.6%
94 2
 
5.6%
6 2
 
5.6%
27 1
 
2.8%
44 1
 
2.8%
11 1
 
2.8%
86 1
 
2.8%
Other values (19) 19
52.8%
ValueCountFrequency (%)
6 2
5.6%
7 2
5.6%
8 2
5.6%
9 1
2.8%
11 1
2.8%
12 1
2.8%
13 1
2.8%
18 1
2.8%
19 1
2.8%
20 1
2.8%
ValueCountFrequency (%)
281 1
 
2.8%
172 1
 
2.8%
162 1
 
2.8%
159 1
 
2.8%
94 2
5.6%
90 1
 
2.8%
86 1
 
2.8%
78 1
 
2.8%
77 1
 
2.8%
53 3
8.3%

주차면수 노상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
 
2
78
 
1
33
 
1
68
 
1

Length

Max length4
Median length4
Mean length3.6111111
Min length1

Unique

Unique4 ?
Unique (%)11.1%

Sample

1st row0
2nd row0
3rd row78
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 2
 
5.6%
78 1
 
2.8%
33 1
 
2.8%
68 1
 
2.8%
94 1
 
2.8%

Length

2023-12-12T14:48:46.114987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:46.251147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 2
 
5.6%
78 1
 
2.8%
33 1
 
2.8%
68 1
 
2.8%
94 1
 
2.8%

주차면수 노외
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct28
Distinct (%)82.4%
Missing2
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean47.470588
Minimum0
Maximum281
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T14:48:46.372423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111.25
median24.5
Q353
95-th percentile165.5
Maximum281
Range281
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation61.23637
Coefficient of variation (CV)1.2899855
Kurtosis5.9614143
Mean47.470588
Median Absolute Deviation (MAD)16.5
Skewness2.3637143
Sum1614
Variance3749.893
MonotonicityNot monotonic
2023-12-12T14:48:46.498439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
53 3
 
8.3%
8 2
 
5.6%
6 2
 
5.6%
7 2
 
5.6%
25 2
 
5.6%
159 1
 
2.8%
19 1
 
2.8%
13 1
 
2.8%
24 1
 
2.8%
27 1
 
2.8%
Other values (18) 18
50.0%
(Missing) 2
 
5.6%
ValueCountFrequency (%)
0 1
2.8%
6 2
5.6%
7 2
5.6%
8 2
5.6%
9 1
2.8%
11 1
2.8%
12 1
2.8%
13 1
2.8%
18 1
2.8%
19 1
2.8%
ValueCountFrequency (%)
281 1
 
2.8%
172 1
 
2.8%
162 1
 
2.8%
159 1
 
2.8%
90 1
 
2.8%
86 1
 
2.8%
77 1
 
2.8%
53 3
8.3%
44 1
 
2.8%
36 1
 
2.8%

거주자
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
O
27 
<NA>
9 

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 27
75.0%
<NA> 9
 
25.0%

Length

2023-12-12T14:48:46.671284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:46.810294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 27
75.0%
na 9
 
25.0%

공영
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
21 
O
15 

Length

Max length4
Median length4
Mean length2.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
58.3%
O 15
41.7%

Length

2023-12-12T14:48:46.923305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:47.041788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
58.3%
o 15
41.7%

급지
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
5
23 
2
7 
4
5 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row2
2nd row5
3rd row2
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 23
63.9%
2 7
 
19.4%
4 5
 
13.9%
3 1
 
2.8%

Length

2023-12-12T14:48:47.174686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:47.311455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 23
63.9%
2 7
 
19.4%
4 5
 
13.9%
3 1
 
2.8%

주차요금 5분당
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
21 
150원
6 
250원
5 
200원
 
2
75원
 
1

Length

Max length4
Median length4
Mean length3.9722222
Min length3

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row250원
2nd row<NA>
3rd row200원
4th row75원
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
58.3%
150원 6
 
16.7%
250원 5
 
13.9%
200원 2
 
5.6%
75원 1
 
2.8%
75원 1
 
2.8%

Length

2023-12-12T14:48:47.464527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:47.592025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
58.3%
150원 6
 
16.7%
250원 5
 
13.9%
200원 2
 
5.6%
75원 2
 
5.6%

주차요금 주간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
4만원
20 
<NA>
11 
3만원
3 
5만원
 
2

Length

Max length4
Median length3
Mean length3.3055556
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row4만원
3rd row<NA>
4th row4만원
5th row4만원

Common Values

ValueCountFrequency (%)
4만원 20
55.6%
<NA> 11
30.6%
3만원 3
 
8.3%
5만원 2
 
5.6%

Length

2023-12-12T14:48:47.754923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:47.887213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4만원 20
55.6%
na 11
30.6%
3만원 3
 
8.3%
5만원 2
 
5.6%

주차요금 야간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
3만원
24 
<NA>
9 
2만원
3 

Length

Max length4
Median length3
Mean length3.25
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3만원
2nd row3만원
3rd row<NA>
4th row3만원
5th row3만원

Common Values

ValueCountFrequency (%)
3만원 24
66.7%
<NA> 9
 
25.0%
2만원 3
 
8.3%

Length

2023-12-12T14:48:48.032196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:48.168622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3만원 24
66.7%
na 9
 
25.0%
2만원 3
 
8.3%

주차요금 종일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
5만원
21 
10만원
5 
8만원
3 
4만원
3 
<NA>
 
2
Other values (2)
 
2

Length

Max length4
Median length3
Mean length3.2222222
Min length3

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row5만원
3rd row10만원
4th row5만원
5th row5만원

Common Values

ValueCountFrequency (%)
5만원 21
58.3%
10만원 5
 
13.9%
8만원 3
 
8.3%
4만원 3
 
8.3%
<NA> 2
 
5.6%
9만원 1
 
2.8%
12만원 1
 
2.8%

Length

2023-12-12T14:48:48.317141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:48:48.476799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5만원 21
58.3%
10만원 5
 
13.9%
8만원 3
 
8.3%
4만원 3
 
8.3%
na 2
 
5.6%
9만원 1
 
2.8%
12만원 1
 
2.8%

시설규모
Text

MISSING 

Distinct7
Distinct (%)77.8%
Missing27
Missing (%)75.0%
Memory size420.0 B
2023-12-12T14:48:48.653524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.8888889
Min length2

Characters and Unicode

Total characters44
Distinct characters12
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

Unique6 ?
Unique (%)66.7%

Sample

1st row지하2층
2nd row2층3단
3rd row1층2단
4th row7층8단
5th row지하1층 2층3단
ValueCountFrequency (%)
2층3단 4
36.4%
지하1층 2
18.2%
지하2층 1
 
9.1%
1층2단 1
 
9.1%
7층8단 1
 
9.1%
4층5단 1
 
9.1%
2층 1
 
9.1%
2023-12-12T14:48:49.360416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
층 11
25.0%
2 7
15.9%
단 7
15.9%
3 4
 
9.1%
지 3
 
6.8%
하 3
 
6.8%
1 3
 
6.8%
2
 
4.5%
7 1
 
2.3%
8 1
 
2.3%
Other values (2) 2
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
54.5%
Decimal Number 18
40.9%
Space Separator 2
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
38.9%
3 4
22.2%
1 3
16.7%
7 1
 
5.6%
8 1
 
5.6%
4 1
 
5.6%
5 1
 
5.6%
Other Letter
ValueCountFrequency (%)
층 11
45.8%
단 7
29.2%
지 3
 
12.5%
하 3
 
12.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
54.5%
Common 20
45.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
35.0%
3 4
20.0%
1 3
15.0%
2
 
10.0%
7 1
 
5.0%
8 1
 
5.0%
4 1
 
5.0%
5 1
 
5.0%
Hangul
ValueCountFrequency (%)
층 11
45.8%
단 7
29.2%
지 3
 
12.5%
하 3
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
54.5%
ASCII 20
45.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
층 11
45.8%
단 7
29.2%
지 3
 
12.5%
하 3
 
12.5%
ASCII
ValueCountFrequency (%)
2 7
35.0%
3 4
20.0%
1 3
15.0%
2
 
10.0%
7 1
 
5.0%
8 1
 
5.0%
4 1
 
5.0%
5 1
 
5.0%

비고
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
구유지
14 
시유지
9 
구유지(지역경제과·위탁)
2 
시유도로(노상·공단위탁)
2 
시유지(임야일부)
2 
Other values (7)
7 

Length

Max length13
Median length3
Mean length5.6111111
Min length3

Unique

Unique7 ?
Unique (%)19.4%

Sample

1st row구유지(지역경제과·위탁)
2nd row시유지
3rd row시유도로(노상·공단위탁)
4th row구유지
5th row구유지

Common Values

ValueCountFrequency (%)
구유지 14
38.9%
시유지 9
25.0%
구유지(지역경제과·위탁) 2
 
5.6%
시유도로(노상·공단위탁) 2
 
5.6%
시유지(임야일부) 2
 
5.6%
구유도로(노상·민간위탁) 1
 
2.8%
구유지(가정복지과) 1
 
2.8%
시유지(공원) 1
 
2.8%
구유도로(노상+노외) 1
 
2.8%
구유지(가로경관과) 1
 
2.8%
Other values (2) 2
 
5.6%

Length

2023-12-12T14:48:49.532866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구유지 14
38.9%
시유지 9
25.0%
구유지(지역경제과·위탁 2
 
5.6%
시유도로(노상·공단위탁 2
 
5.6%
시유지(임야일부 2
 
5.6%
구유도로(노상·민간위탁 1
 
2.8%
구유지(가정복지과 1
 
2.8%
시유지(공원 1
 
2.8%
구유도로(노상+노외 1
 
2.8%
구유지(가로경관과 1
 
2.8%
Other values (2) 2
 
5.6%

Interactions

2023-12-12T14:48:42.063174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:41.503533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:41.834043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:42.153197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:41.641849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:41.917381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:42.240916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:41.741103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:48:41.989836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:48:49.655501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영개시일동명시설명위치부지면적주차면수 소계주차면수 노상주차면수 노외급지주차요금 5분당주차요금 주간주차요금 야간주차요금 종일시설규모비고
연번1.0000.9620.8891.0001.0001.0000.2091.0000.3030.0000.0000.0000.5130.0000.7980.244
운영개시일0.9621.0000.9901.0001.0001.0000.8001.0000.8290.9061.0000.0001.0000.9361.0000.920
동명0.8890.9901.0001.0001.0001.0000.7970.9420.8570.0740.9300.0000.0000.6840.8730.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
부지면적1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주차면수 소계0.2090.8000.7971.0001.0001.0001.0001.0000.9920.4210.2350.5720.0000.4790.7980.000
주차면수 노상1.0001.0000.9421.0001.0001.0001.0001.000NaN0.0001.000NaNNaN1.000NaN0.859
주차면수 노외0.3030.8290.8571.0001.0001.0000.992NaN1.0000.2420.0000.5720.0000.2220.7980.000
급지0.0000.9060.0741.0001.0001.0000.4210.0000.2421.0000.8110.5170.0000.8120.7690.693
주차요금 5분당0.0001.0000.9301.0001.0001.0000.2351.0000.0000.8111.0000.000NaN0.6761.0000.450
주차요금 주간0.0000.0000.0001.0001.0001.0000.572NaN0.5720.5170.0001.0001.0001.0001.0000.215
주차요금 야간0.5131.0000.0001.0001.0001.0000.000NaN0.0000.000NaN1.0001.0001.000NaN0.345
주차요금 종일0.0000.9360.6841.0001.0001.0000.4791.0000.2220.8120.6761.0001.0001.0000.3160.460
시설규모0.7981.0000.8731.0001.0001.0000.798NaN0.7980.7691.0001.000NaN0.3161.0000.612
비고0.2440.9200.0001.0001.0001.0000.0000.8590.0000.6930.4500.2150.3450.4600.6121.000
2023-12-12T14:48:49.863412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급지공영주차요금 5분당주차요금 종일거주자주차면수 노상동명주차요금 야간비고주차요금 주간
급지1.0001.0000.7580.6391.0000.0000.0000.0000.3230.762
공영1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주차요금 5분당0.7581.0001.0000.2501.0001.0000.3321.0000.2000.000
주차요금 종일0.6391.0000.2501.0001.0001.0000.3540.9780.2111.000
거주자1.0001.0001.0001.0001.000NaN1.0001.0001.0001.000
주차면수 노상0.0001.0001.0001.000NaN1.0000.2501.0000.000NaN
동명0.0001.0000.3320.3541.0000.2501.0000.0000.0000.000
주차요금 야간0.0001.0001.0000.9781.0001.0000.0001.0000.3180.978
비고0.3231.0000.2000.2111.0000.0000.0000.3181.0000.000
주차요금 주간0.7621.0000.0001.0001.000NaN0.0000.9780.0001.000
2023-12-12T14:48:50.052612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차면수 소계주차면수 노외동명주차면수 노상거주자공영급지주차요금 5분당주차요금 주간주차요금 야간주차요금 종일비고
연번1.0000.1350.2380.5640.8661.0001.0000.0000.0000.1460.4000.1060.000
주차면수 소계0.1351.0000.8730.4320.7071.0001.0000.2790.0000.4080.0000.2950.000
주차면수 노외0.2380.8731.0000.4201.0001.0001.0000.1410.0000.4080.0000.1110.000
동명0.5640.4320.4201.0000.2501.0001.0000.0000.3320.0000.0000.3540.000
주차면수 노상0.8660.7071.0000.2501.000NaN1.0000.0001.000NaN1.0001.0000.000
거주자1.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.0001.0001.000
공영1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
급지0.0000.2790.1410.0000.0001.0001.0001.0000.7580.7620.0000.6390.323
주차요금 5분당0.0000.0000.0000.3321.0001.0001.0000.7581.0000.0001.0000.2500.200
주차요금 주간0.1460.4080.4080.000NaN1.0001.0000.7620.0001.0000.9781.0000.000
주차요금 야간0.4000.0000.0000.0001.0001.0001.0000.0001.0000.9781.0000.9780.318
주차요금 종일0.1060.2950.1110.3541.0001.0001.0000.6390.2501.0000.9781.0000.211
비고0.0000.0000.0000.0000.0001.0001.0000.3230.2000.0000.3180.2111.000

Missing values

2023-12-12T14:48:42.398523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:48:42.611017image/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.
2023-12-12T14:48:42.838962image/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

연번운영개시일동명시설명위치부지면적주차면수 소계주차면수 노상주차면수 노외거주자공영급지주차요금 5분당주차요금 주간주차요금 야간주차요금 종일시설규모비고
012010-09중곡1동중곡제일전통시장 공영중곡1동 221-669521021<NA>O2250원<NA>3만원<NA><NA>구유지(지역경제과·위탁)
121998-03중곡2동장신구중곡2동 133-1053122022O<NA>5<NA>4만원3만원5만원<NA>시유지
231999-06중곡2동중곡동복개천중곡2동 150-196<NA>78780<NA>O2200원<NA><NA>10만원<NA>시유도로(노상·공단위탁)
342009-04중곡3동중곡3동마을공원중곡3동 195-13038.3162<NA>162OO575원4만원3만원5만원지하2층구유지
452010-01중곡3동중곡체육센터중곡3동 168-83,690.006<NA>6O<NA>5<NA>4만원3만원5만원<NA>구유지
561996-01중곡4동신성시장길중곡4동 453 일대<NA>3333<NA><NA>O2250원<NA><NA>10만원<NA>구유도로(노상·민간위탁)
672001-08중곡4동새오름중곡4동 143-701377<NA>7O<NA>5<NA>4만원3만원5만원<NA>구유지
782003-04중곡4동용마산남중곡4동 69-2777.925<NA>25O<NA>5<NA>4만원3만원5만원<NA>구유지
892005-04중곡4동긴고랑길공영중곡4동 72-1 외1,653.0053<NA>53O<NA>5<NA>4만원3만원5만원<NA>구유지
9101998-12중곡4동해오름중곡4동 87-14462.920<NA>20O<NA>5<NA>4만원3만원5만원<NA>시유지
연번운영개시일동명시설명위치부지면적주차면수 소계주차면수 노상주차면수 노외거주자공영급지주차요금 5분당주차요금 주간주차요금 야간주차요금 종일시설규모비고
26272010-06자양1동자양전통시장 공영자양1동 631-18447.524<NA>24<NA>O2250원<NA>3만원<NA>2층구유지(지역경제과·위탁)
27282000-08자양2동유수지자양2동 5949,000.00281<NA>281OO5150원4만원3만원5만원<NA>시유지
28291994-01자양3동송림식당길자양3동 712 일대<NA>9494<NA><NA>O2200원<NA><NA>9만원<NA>시유도로(노상·공단위탁)
29302005-03자양4동자양4동 공영자양4동 5-51,988.4086<NA>86<NA>O4150원<NA><NA>10만원<NA>구유지
30312009-08자양4동행복제2자양4동 10-21,313.1053<NA>53O<NA>5<NA>4만원3만원5만원<NA>시유지
31322005-12화양동느티나무(화양공동)화양동 110-671,248.0027<NA>27O<NA>5<NA>4만원3만원5만원<NA>구유지
32331999-04화양동화양동 공영화양동 63-266444<NA>44<NA>O4150원<NA><NA>8만원2층3단시유지(민간위탁)
33342006-03화양동화양동 마을마당화양동 523-21126<NA>6O<NA>5<NA><NA><NA>5만원<NA>국유지
34352003-12군자동군자동 공영군자동 2-411,075.1053<NA>53O<NA>5<NA>4만원3만원5만원2층3단구유지
35362006-07군자동광진광장 공영군자동 3741,516.0036<NA>36<NA>O2250원<NA><NA>12만원<NA>구유지