Overview

Dataset statistics

Number of variables26
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory232.2 B

Variable types

Text3
Numeric9
Categorical14

Dataset

Description부산광역시남구이륜차등록현황_20210913
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023019

Alerts

금월 전입 경형 has constant value ""Constant
전출 금월 소형 has constant value ""Constant
금월 전입 계 is highly imbalanced (53.0%)Imbalance
금월 전입 소형 is highly imbalanced (71.0%)Imbalance
금월 전입 중형 is highly imbalanced (65.5%)Imbalance
금월 전입 대형 is highly imbalanced (69.7%)Imbalance
전출 금월 계 is highly imbalanced (51.0%)Imbalance
전출 금월 경형 is highly imbalanced (71.0%)Imbalance
전출 금월 중형 is highly imbalanced (71.0%)Imbalance
전출 금월 대형 is highly imbalanced (62.4%)Imbalance
금월 폐지 소형 is highly imbalanced (62.4%)Imbalance
행정동명 용도_규모 has unique valuesUnique
금월 신규 계 has 22 (37.3%) zerosZeros
금월 신규 경형 has 38 (64.4%) zerosZeros
금월 신규 중형 has 24 (40.7%) zerosZeros
금월 신규 대형 has 24 (40.7%) zerosZeros
금월 폐지 계 has 24 (40.7%) zerosZeros
금월 폐지 중형 has 24 (40.7%) zerosZeros
금월 폐지 대형 has 24 (40.7%) zerosZeros
금월 누적 경형 has 22 (37.3%) zerosZeros
금월 누적 대형 has 24 (40.7%) zerosZeros

Reproduction

Analysis started2023-12-10 16:18:33.199799
Analysis finished2023-12-10 16:18:33.485699
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명 용도_규모
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:33.605195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.1694915
Min length5

Characters and Unicode

Total characters423
Distinct characters26
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

Unique59 ?
Unique (%)100.0%

Sample

1st row감만1동 관용
2nd row감만1동 자가용
3rd row감만1동 소계
4th row감만2동 관용
5th row감만2동 자가용
ValueCountFrequency (%)
자가용 20
16.9%
관용 20
16.9%
소계 19
16.1%
감만1동 3
 
2.5%
용호3동 3
 
2.5%
우암동 3
 
2.5%
우암2동 3
 
2.5%
우암1동 3
 
2.5%
용호2동 3
 
2.5%
용호1동 3
 
2.5%
Other values (13) 38
32.2%
2023-12-11T01:18:33.953952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
13.9%
동 57
13.5%
용 55
13.0%
자 20
 
4.7%
가 20
 
4.7%
관 20
 
4.7%
소 19
 
4.5%
계 19
 
4.5%
1 15
 
3.5%
대 15
 
3.5%
Other values (16) 124
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
74.0%
Space Separator 59
 
13.9%
Decimal Number 51
 
12.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%
Decimal Number
ValueCountFrequency (%)
1 15
29.4%
2 12
23.5%
3 9
17.6%
4 9
17.6%
6 3
 
5.9%
5 3
 
5.9%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
74.0%
Common 110
 
26.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%
Common
ValueCountFrequency (%)
59
53.6%
1 15
 
13.6%
2 12
 
10.9%
3 9
 
8.2%
4 9
 
8.2%
6 3
 
2.7%
5 3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
74.0%
ASCII 110
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
53.6%
1 15
 
13.6%
2 12
 
10.9%
3 9
 
8.2%
4 9
 
8.2%
6 3
 
2.7%
5 3
 
2.7%
Hangul
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%

금월 신규 계
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.627119
Minimum0
Maximum266
Zeros22
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:34.082924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q314
95-th percentile35.2
Maximum266
Range266
Interquartile range (IQR)14

Descriptive statistics

Standard deviation35.207708
Coefficient of variation (CV)2.5836502
Kurtosis47.3615
Mean13.627119
Median Absolute Deviation (MAD)7
Skewness6.5829389
Sum804
Variance1239.5827
MonotonicityNot monotonic
2023-12-11T01:18:34.201030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 22
37.3%
14 6
 
10.2%
9 6
 
10.2%
7 2
 
3.4%
18 2
 
3.4%
46 2
 
3.4%
8 2
 
3.4%
16 2
 
3.4%
5 2
 
3.4%
22 2
 
3.4%
Other values (7) 11
18.6%
ValueCountFrequency (%)
0 22
37.3%
2 2
 
3.4%
5 2
 
3.4%
6 2
 
3.4%
7 2
 
3.4%
8 2
 
3.4%
9 6
 
10.2%
12 2
 
3.4%
14 6
 
10.2%
16 2
 
3.4%
ValueCountFrequency (%)
266 1
 
1.7%
46 2
 
3.4%
34 1
 
1.7%
32 1
 
1.7%
25 2
 
3.4%
22 2
 
3.4%
18 2
 
3.4%
16 2
 
3.4%
14 6
10.2%
12 2
 
3.4%

금월 신규 경형
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.91525424
Minimum0
Maximum16
Zeros38
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:34.308080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.2
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3140361
Coefficient of variation (CV)2.5282988
Kurtosis31.797893
Mean0.91525424
Median Absolute Deviation (MAD)0
Skewness5.1445774
Sum54
Variance5.3547633
MonotonicityNot monotonic
2023-12-11T01:18:34.421808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 38
64.4%
1 11
 
18.6%
2 4
 
6.8%
3 3
 
5.1%
5 2
 
3.4%
16 1
 
1.7%
ValueCountFrequency (%)
0 38
64.4%
1 11
 
18.6%
2 4
 
6.8%
3 3
 
5.1%
5 2
 
3.4%
16 1
 
1.7%
ValueCountFrequency (%)
16 1
 
1.7%
5 2
 
3.4%
3 3
 
5.1%
2 4
 
6.8%
1 11
 
18.6%
0 38
64.4%

금월 신규 소형
Categorical

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
34 
1
14 
2
8 
4
 
2
19
 
1

Length

Max length2
Median length1
Mean length1.0169492
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 34
57.6%
1 14
23.7%
2 8
 
13.6%
4 2
 
3.4%
19 1
 
1.7%

Length

2023-12-11T01:18:34.553212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:34.666301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
57.6%
1 14
23.7%
2 8
 
13.6%
4 2
 
3.4%
19 1
 
1.7%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9
Minimum0
Maximum177
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:34.789587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39
95-th percentile26.8
Maximum177
Range177
Interquartile range (IQR)9

Descriptive statistics

Standard deviation23.675974
Coefficient of variation (CV)2.6306637
Kurtosis45.381721
Mean9
Median Absolute Deviation (MAD)3
Skewness6.4070093
Sum531
Variance560.55172
MonotonicityNot monotonic
2023-12-11T01:18:34.909434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 24
40.7%
9 6
 
10.2%
3 6
 
10.2%
8 4
 
6.8%
16 2
 
3.4%
26 2
 
3.4%
7 2
 
3.4%
15 2
 
3.4%
4 2
 
3.4%
5 2
 
3.4%
Other values (4) 7
 
11.9%
ValueCountFrequency (%)
0 24
40.7%
3 6
 
10.2%
4 2
 
3.4%
5 2
 
3.4%
6 2
 
3.4%
7 2
 
3.4%
8 4
 
6.8%
9 6
 
10.2%
12 2
 
3.4%
15 2
 
3.4%
ValueCountFrequency (%)
177 1
 
1.7%
34 2
 
3.4%
26 2
 
3.4%
16 2
 
3.4%
15 2
 
3.4%
12 2
 
3.4%
9 6
10.2%
8 4
6.8%
7 2
 
3.4%
6 2
 
3.4%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7457627
Minimum0
Maximum54
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:35.034950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6.1
Maximum54
Range54
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.0846926
Coefficient of variation (CV)2.5802276
Kurtosis49.234455
Mean2.7457627
Median Absolute Deviation (MAD)1
Skewness6.7443692
Sum162
Variance50.19287
MonotonicityNot monotonic
2023-12-11T01:18:35.166107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 24
40.7%
3 12
20.3%
2 6
 
10.2%
1 6
 
10.2%
5 4
 
6.8%
4 2
 
3.4%
6 2
 
3.4%
7 2
 
3.4%
54 1
 
1.7%
ValueCountFrequency (%)
0 24
40.7%
1 6
 
10.2%
2 6
 
10.2%
3 12
20.3%
4 2
 
3.4%
5 4
 
6.8%
6 2
 
3.4%
7 2
 
3.4%
54 1
 
1.7%
ValueCountFrequency (%)
54 1
 
1.7%
7 2
 
3.4%
6 2
 
3.4%
5 4
 
6.8%
4 2
 
3.4%
3 12
20.3%
2 6
 
10.2%
1 6
 
10.2%
0 24
40.7%

금월 전입 계
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
48 
1
6 
2
 
4
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48
81.4%
1 6
 
10.2%
2 4
 
6.8%
7 1
 
1.7%

Length

2023-12-11T01:18:35.264982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:35.358047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
81.4%
1 6
 
10.2%
2 4
 
6.8%
7 1
 
1.7%

금월 전입 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
100.0%

Length

2023-12-11T01:18:35.464003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:35.539066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전입 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:35.615588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:35.690873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

금월 전입 중형
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
1
 
4
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
88.1%
1 4
 
6.8%
2 2
 
3.4%
4 1
 
1.7%

Length

2023-12-11T01:18:35.774730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:35.857970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
1 4
 
6.8%
2 2
 
3.4%
4 1
 
1.7%

금월 전입 대형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
54 
1
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
91.5%
1 4
 
6.8%
2 1
 
1.7%

Length

2023-12-11T01:18:35.959908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:36.038418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
91.5%
1 4
 
6.8%
2 1
 
1.7%

전출 금월 계
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
48 
1
10 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48
81.4%
1 10
 
16.9%
5 1
 
1.7%

Length

2023-12-11T01:18:36.127495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:36.212562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
81.4%
1 10
 
16.9%
5 1
 
1.7%

전출 금월 경형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:36.301972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:36.380092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

전출 금월 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
100.0%

Length

2023-12-11T01:18:36.471249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:36.577903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

전출 금월 중형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:36.673250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:36.765699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

전출 금월 대형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
1
6 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

Length

2023-12-11T01:18:36.858220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:36.977900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

금월 폐지 계
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.779661
Minimum0
Maximum212
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:37.082619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q311
95-th percentile27.3
Maximum212
Range212
Interquartile range (IQR)11

Descriptive statistics

Standard deviation27.892693
Coefficient of variation (CV)2.5875297
Kurtosis48.651788
Mean10.779661
Median Absolute Deviation (MAD)5
Skewness6.6954514
Sum636
Variance778.00234
MonotonicityNot monotonic
2023-12-11T01:18:37.184770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 24
40.7%
11 6
 
10.2%
10 6
 
10.2%
9 4
 
6.8%
5 4
 
6.8%
8 2
 
3.4%
4 2
 
3.4%
21 2
 
3.4%
27 2
 
3.4%
18 2
 
3.4%
Other values (3) 5
 
8.5%
ValueCountFrequency (%)
0 24
40.7%
4 2
 
3.4%
5 4
 
6.8%
8 2
 
3.4%
9 4
 
6.8%
10 6
 
10.2%
11 6
 
10.2%
13 2
 
3.4%
18 2
 
3.4%
21 2
 
3.4%
ValueCountFrequency (%)
212 1
 
1.7%
30 2
 
3.4%
27 2
 
3.4%
21 2
 
3.4%
18 2
 
3.4%
13 2
 
3.4%
11 6
10.2%
10 6
10.2%
9 4
6.8%
8 2
 
3.4%

금월 폐지 경형
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
40 
1
14 
2
 
4
11
 
1

Length

Max length2
Median length1
Mean length1.0169492
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 40
67.8%
1 14
 
23.7%
2 4
 
6.8%
11 1
 
1.7%

Length

2023-12-11T01:18:37.422921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:37.524745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 40
67.8%
1 14
 
23.7%
2 4
 
6.8%
11 1
 
1.7%

금월 폐지 소형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
1
6 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

Length

2023-12-11T01:18:37.645494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:37.738483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8305085
Minimum0
Maximum154
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:37.837904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q38
95-th percentile21.3
Maximum154
Range154
Interquartile range (IQR)8

Descriptive statistics

Standard deviation20.395362
Coefficient of variation (CV)2.6046025
Kurtosis47.316486
Mean7.8305085
Median Absolute Deviation (MAD)4
Skewness6.5720685
Sum462
Variance415.97078
MonotonicityNot monotonic
2023-12-11T01:18:37.955261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 24
40.7%
7 8
 
13.6%
8 8
 
13.6%
1 4
 
6.8%
15 2
 
3.4%
24 2
 
3.4%
14 2
 
3.4%
5 2
 
3.4%
21 2
 
3.4%
4 2
 
3.4%
Other values (2) 3
 
5.1%
ValueCountFrequency (%)
0 24
40.7%
1 4
 
6.8%
4 2
 
3.4%
5 2
 
3.4%
7 8
 
13.6%
8 8
 
13.6%
9 2
 
3.4%
14 2
 
3.4%
15 2
 
3.4%
21 2
 
3.4%
ValueCountFrequency (%)
154 1
 
1.7%
24 2
 
3.4%
21 2
 
3.4%
15 2
 
3.4%
14 2
 
3.4%
9 2
 
3.4%
8 8
13.6%
7 8
13.6%
5 2
 
3.4%
4 2
 
3.4%

금월 폐지 대형
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2372881
Minimum0
Maximum44
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:38.091415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4.3
Maximum44
Range44
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.7784946
Coefficient of variation (CV)2.582812
Kurtosis49.035537
Mean2.2372881
Median Absolute Deviation (MAD)1
Skewness6.7323729
Sum132
Variance33.390999
MonotonicityNot monotonic
2023-12-11T01:18:38.202427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
40.7%
3 14
23.7%
1 8
 
13.6%
2 8
 
13.6%
4 2
 
3.4%
7 2
 
3.4%
44 1
 
1.7%
ValueCountFrequency (%)
0 24
40.7%
1 8
 
13.6%
2 8
 
13.6%
3 14
23.7%
4 2
 
3.4%
7 2
 
3.4%
44 1
 
1.7%
ValueCountFrequency (%)
44 1
 
1.7%
7 2
 
3.4%
4 2
 
3.4%
3 14
23.7%
2 8
 
13.6%
1 8
 
13.6%
0 24
40.7%

금월 누적 계
Text

Distinct31
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:38.358472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.3389831
Min length1

Characters and Unicode

Total characters138
Distinct characters11
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

Unique16 ?
Unique (%)27.1%

Sample

1st row1
2nd row845
3rd row846
4th row0
5th row354
ValueCountFrequency (%)
0 13
22.0%
1 3
 
5.1%
430 3
 
5.1%
584 2
 
3.4%
518 2
 
3.4%
2 2
 
3.4%
8 2
 
3.4%
380 2
 
3.4%
423 2
 
3.4%
486 2
 
3.4%
Other values (21) 26
44.1%
2023-12-11T01:18:38.653590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25
18.1%
4 22
15.9%
3 17
12.3%
1 17
12.3%
8 17
12.3%
5 12
8.7%
7 10
 
7.2%
2 8
 
5.8%
6 6
 
4.3%
, 3
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
97.8%
Other Punctuation 3
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
18.5%
4 22
16.3%
3 17
12.6%
1 17
12.6%
8 17
12.6%
5 12
8.9%
7 10
 
7.4%
2 8
 
5.9%
6 6
 
4.4%
9 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25
18.1%
4 22
15.9%
3 17
12.3%
1 17
12.3%
8 17
12.3%
5 12
8.7%
7 10
 
7.2%
2 8
 
5.8%
6 6
 
4.3%
, 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25
18.1%
4 22
15.9%
3 17
12.3%
1 17
12.3%
8 17
12.3%
5 12
8.7%
7 10
 
7.2%
2 8
 
5.8%
6 6
 
4.3%
, 3
 
2.2%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.915254
Minimum0
Maximum485
Zeros22
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:38.811128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q330
95-th percentile52
Maximum485
Range485
Interquartile range (IQR)30

Descriptive statistics

Standard deviation63.821488
Coefficient of variation (CV)2.5615427
Kurtosis48.510711
Mean24.915254
Median Absolute Deviation (MAD)14
Skewness6.6853374
Sum1470
Variance4073.1823
MonotonicityNot monotonic
2023-12-11T01:18:38.925343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 22
37.3%
40 2
 
3.4%
14 2
 
3.4%
10 2
 
3.4%
29 2
 
3.4%
32 2
 
3.4%
79 2
 
3.4%
23 2
 
3.4%
12 2
 
3.4%
31 2
 
3.4%
Other values (11) 19
32.2%
ValueCountFrequency (%)
0 22
37.3%
5 2
 
3.4%
10 2
 
3.4%
12 2
 
3.4%
14 2
 
3.4%
15 2
 
3.4%
17 2
 
3.4%
18 2
 
3.4%
19 2
 
3.4%
20 2
 
3.4%
ValueCountFrequency (%)
485 1
1.7%
79 2
3.4%
49 1
1.7%
45 2
3.4%
44 1
1.7%
40 2
3.4%
37 2
3.4%
32 2
3.4%
31 2
3.4%
29 2
3.4%

금월 누적 소형
Categorical

Distinct24
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
17 
92
4 
133
 
3
195
 
2
193
 
2
Other values (19)
31 

Length

Max length5
Median length3
Mean length2.1355932
Min length1

Unique

Unique7 ?
Unique (%)11.9%

Sample

1st row0
2nd row195
3rd row195
4th row0
5th row92

Common Values

ValueCountFrequency (%)
0 17
28.8%
92 4
 
6.8%
133 3
 
5.1%
195 2
 
3.4%
193 2
 
3.4%
111 2
 
3.4%
184 2
 
3.4%
104 2
 
3.4%
119 2
 
3.4%
230 2
 
3.4%
Other values (14) 21
35.6%

Length

2023-12-11T01:18:39.046084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 17
28.8%
92 4
 
6.8%
133 3
 
5.1%
103 2
 
3.4%
139 2
 
3.4%
2 2
 
3.4%
3 2
 
3.4%
84 2
 
3.4%
343 2
 
3.4%
157 2
 
3.4%
Other values (14) 21
35.6%

금월 누적 중형
Text

Distinct30
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:39.212087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.2372881
Min length1

Characters and Unicode

Total characters132
Distinct characters11
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

Unique15 ?
Unique (%)25.4%

Sample

1st row1
2nd row572
3rd row573
4th row0
5th row229
ValueCountFrequency (%)
0 16
27.1%
396 2
 
3.4%
285 2
 
3.4%
555 2
 
3.4%
340 2
 
3.4%
5 2
 
3.4%
548 2
 
3.4%
235 2
 
3.4%
291 2
 
3.4%
384 2
 
3.4%
Other values (20) 25
42.4%
2023-12-11T01:18:39.514649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 24
18.2%
0 21
15.9%
3 16
12.1%
2 15
11.4%
1 15
11.4%
4 12
9.1%
9 11
8.3%
8 9
 
6.8%
7 6
 
4.5%
6 2
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
99.2%
Other Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
18.3%
0 21
16.0%
3 16
12.2%
2 15
11.5%
1 15
11.5%
4 12
9.2%
9 11
8.4%
8 9
 
6.9%
7 6
 
4.6%
6 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 24
18.2%
0 21
15.9%
3 16
12.1%
2 15
11.4%
1 15
11.4%
4 12
9.1%
9 11
8.3%
8 9
 
6.8%
7 6
 
4.5%
6 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 24
18.2%
0 21
15.9%
3 16
12.1%
2 15
11.4%
1 15
11.4%
4 12
9.1%
9 11
8.3%
8 9
 
6.8%
7 6
 
4.5%
6 2
 
1.5%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.745763
Minimum0
Maximum821
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:39.643880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q342
95-th percentile82.5
Maximum821
Range821
Interquartile range (IQR)42

Descriptive statistics

Standard deviation108.82057
Coefficient of variation (CV)2.6067453
Kurtosis47.196834
Mean41.745763
Median Absolute Deviation (MAD)30
Skewness6.5853569
Sum2463
Variance11841.917
MonotonicityNot monotonic
2023-12-11T01:18:39.792486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 24
40.7%
43 4
 
6.8%
30 4
 
6.8%
38 4
 
6.8%
50 2
 
3.4%
31 2
 
3.4%
34 2
 
3.4%
63 2
 
3.4%
168 2
 
3.4%
27 2
 
3.4%
Other values (6) 11
18.6%
ValueCountFrequency (%)
0 24
40.7%
18 2
 
3.4%
27 2
 
3.4%
30 4
 
6.8%
31 2
 
3.4%
34 2
 
3.4%
38 4
 
6.8%
39 2
 
3.4%
41 2
 
3.4%
43 4
 
6.8%
ValueCountFrequency (%)
821 1
 
1.7%
168 2
3.4%
73 2
3.4%
63 2
3.4%
55 2
3.4%
50 2
3.4%
43 4
6.8%
41 2
3.4%
39 2
3.4%
38 4
6.8%

Sample

행정동명 용도_규모금월 신규 계금월 신규 경형금월 신규 소형금월 신규 중형금월 신규 대형금월 전입 계금월 전입 경형금월 전입 소형금월 전입 중형금월 전입 대형전출 금월 계전출 금월 경형전출 금월 소형전출 금월 중형전출 금월 대형금월 폐지 계금월 폐지 경형금월 폐지 소형금월 폐지 중형금월 폐지 대형금월 누적 계금월 누적 경형금월 누적 소형금월 누적 중형금월 누적 대형
0감만1동 관용0000000000000000000010010
1감만1동 자가용1420931001011000800718454019557238
2감만1동 소계1420931001011000800718464019557338
3감만2동 관용0000000000000000000000000
4감만2동 자가용60132000000000040112354159222918
5감만2동 소계60132000000000040112354159222918
6대연1동 관용0000000000000000000000000
7대연1동 자가용2504165000000000021111547124519341955
8대연1동 소계2504165000000000021111547124519341955
9대연3동 관용22000000000000000000235990
행정동명 용도_규모금월 신규 계금월 신규 경형금월 신규 소형금월 신규 중형금월 신규 대형금월 전입 계금월 전입 경형금월 전입 소형금월 전입 중형금월 전입 대형전출 금월 계전출 금월 경형전출 금월 소형전출 금월 중형전출 금월 대형금월 폐지 계금월 폐지 경형금월 폐지 소형금월 폐지 중형금월 폐지 대형금월 누적 계금월 누적 경형금월 누적 소형금월 누적 중형금월 누적 대형
49우암1동 자가용0000000000000000000080350
50우암1동 소계0000000000000000000080350
51우암2동 관용0000000000000000000000000
52우암2동 자가용0000000000000000000020200
53우암2동 소계0000000000000000000020200
54우암동 관용0000000000000000000000000
55우암동 자가용9008100000000001310935181413334031
56우암동 소계9008100000000001310935181413334031
57전체 관용2200000000000000000036510210
58전체 자가용26616191775470142510132121131544411,0334852,6807,047821