Overview

Dataset statistics

Number of variables7
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory60.6 B

Variable types

Numeric2
Categorical3
Text2

Dataset

Description인천광역시 중구 관내에 위치한 거리가게에 대한 데이터 입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15086833

Alerts

구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:57:39.532165
Analysis finished2024-01-28 12:57:40.440674
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T21:57:40.502601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-01-28T21:57:40.627995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
중구
50 

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 50
100.0%

Length

2024-01-28T21:57:40.732762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:40.805281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 50
100.0%

유형
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
가로판매대
35 
구두수선대
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구두수선대
2nd row가로판매대
3rd row가로판매대
4th row가로판매대
5th row가로판매대

Common Values

ValueCountFrequency (%)
가로판매대 35
70.0%
구두수선대 15
30.0%

Length

2024-01-28T21:57:40.891178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:40.962274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로판매대 35
70.0%
구두수선대 15
30.0%

도로명주소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-28T21:57:41.141541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.5
Min length21

Characters and Unicode

Total characters1225
Distinct characters63
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

Unique50 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 서해대로 222 (신흥동3가)
2nd row인천광역시 중구 서해대로 224-1 (신흥동3가)
3rd row인천광역시 중구 아암대로 12 (신흥동3가)
4th row인천광역시 중구 축항대로 146 (항동7가)
5th row인천광역시 중구 축항대로 236 (항동7가)
ValueCountFrequency (%)
인천광역시 50
20.0%
중구 50
20.0%
신포동 11
 
4.4%
항동7가 8
 
3.2%
우현로35번길 8
 
3.2%
신흥동3가 7
 
2.8%
우현로 6
 
2.4%
북성동1가 6
 
2.4%
인현동 5
 
2.0%
참외전로 5
 
2.0%
Other values (73) 94
37.6%
2024-01-28T21:57:41.474929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
16.3%
인 61
 
5.0%
중 53
 
4.3%
로 50
 
4.1%
) 50
 
4.1%
동 50
 
4.1%
( 50
 
4.1%
천 50
 
4.1%
구 50
 
4.1%
시 50
 
4.1%
Other values (53) 561
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
58.7%
Space Separator 200
 
16.3%
Decimal Number 184
 
15.0%
Close Punctuation 50
 
4.1%
Open Punctuation 50
 
4.1%
Dash Punctuation 22
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 61
 
8.5%
중 53
 
7.4%
로 50
 
7.0%
동 50
 
7.0%
천 50
 
7.0%
구 50
 
7.0%
시 50
 
7.0%
광 50
 
7.0%
역 50
 
7.0%
가 22
 
3.1%
Other values (39) 233
32.4%
Decimal Number
ValueCountFrequency (%)
3 40
21.7%
1 38
20.7%
2 25
13.6%
7 15
 
8.2%
5 15
 
8.2%
8 14
 
7.6%
4 13
 
7.1%
6 13
 
7.1%
9 9
 
4.9%
0 2
 
1.1%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 719
58.7%
Common 506
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 61
 
8.5%
중 53
 
7.4%
로 50
 
7.0%
동 50
 
7.0%
천 50
 
7.0%
구 50
 
7.0%
시 50
 
7.0%
광 50
 
7.0%
역 50
 
7.0%
가 22
 
3.1%
Other values (39) 233
32.4%
Common
ValueCountFrequency (%)
200
39.5%
) 50
 
9.9%
( 50
 
9.9%
3 40
 
7.9%
1 38
 
7.5%
2 25
 
4.9%
- 22
 
4.3%
7 15
 
3.0%
5 15
 
3.0%
8 14
 
2.8%
Other values (4) 37
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
58.7%
ASCII 506
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
39.5%
) 50
 
9.9%
( 50
 
9.9%
3 40
 
7.9%
1 38
 
7.5%
2 25
 
4.9%
- 22
 
4.3%
7 15
 
3.0%
5 15
 
3.0%
8 14
 
2.8%
Other values (4) 37
 
7.3%
Hangul
ValueCountFrequency (%)
인 61
 
8.5%
중 53
 
7.4%
로 50
 
7.0%
동 50
 
7.0%
천 50
 
7.0%
구 50
 
7.0%
시 50
 
7.0%
광 50
 
7.0%
역 50
 
7.0%
가 22
 
3.1%
Other values (39) 233
32.4%

지번주소
Text

Distinct34
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-28T21:57:41.650149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length19.04
Min length15

Characters and Unicode

Total characters952
Distinct characters39
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

Unique29 ?
Unique (%)58.0%

Sample

1st row인천광역시 중구 신흥동3가 52
2nd row인천광역시 중구 신흥동3가 52
3rd row인천광역시 중구 신흥동3가 7-317
4th row인천광역시 중구 항동7가 27-170
5th row인천광역시 중구 항동7가 90-1
ValueCountFrequency (%)
인천광역시 50
23.8%
중구 50
23.8%
신포동 11
 
5.2%
18-16 9
 
4.3%
항동7가 8
 
3.8%
신흥동3가 7
 
3.3%
북성동1가 6
 
2.9%
인현동 5
 
2.4%
58-2 4
 
1.9%
7-207 4
 
1.9%
Other values (46) 56
26.7%
2024-01-28T21:57:41.942453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
16.8%
인 55
 
5.8%
- 54
 
5.7%
1 52
 
5.5%
중 51
 
5.4%
광 50
 
5.3%
역 50
 
5.3%
시 50
 
5.3%
구 50
 
5.3%
천 50
 
5.3%
Other values (29) 330
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
53.2%
Decimal Number 222
23.3%
Space Separator 160
 
16.8%
Dash Punctuation 54
 
5.7%
Other Punctuation 10
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 55
10.9%
중 51
10.1%
광 50
9.9%
역 50
9.9%
시 50
9.9%
구 50
9.9%
천 50
9.9%
동 50
9.9%
가 22
 
4.3%
신 20
 
4.0%
Other values (16) 58
11.5%
Decimal Number
ValueCountFrequency (%)
1 52
23.4%
2 34
15.3%
7 28
12.6%
8 22
9.9%
6 21
9.5%
3 17
 
7.7%
5 16
 
7.2%
4 14
 
6.3%
0 11
 
5.0%
9 7
 
3.2%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
53.2%
Common 446
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 55
10.9%
중 51
10.1%
광 50
9.9%
역 50
9.9%
시 50
9.9%
구 50
9.9%
천 50
9.9%
동 50
9.9%
가 22
 
4.3%
신 20
 
4.0%
Other values (16) 58
11.5%
Common
ValueCountFrequency (%)
160
35.9%
- 54
 
12.1%
1 52
 
11.7%
2 34
 
7.6%
7 28
 
6.3%
8 22
 
4.9%
6 21
 
4.7%
3 17
 
3.8%
5 16
 
3.6%
4 14
 
3.1%
Other values (3) 28
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
53.2%
ASCII 446
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
35.9%
- 54
 
12.1%
1 52
 
11.7%
2 34
 
7.6%
7 28
 
6.3%
8 22
 
4.9%
6 21
 
4.7%
3 17
 
3.8%
5 16
 
3.6%
4 14
 
3.1%
Other values (3) 28
 
6.3%
Hangul
ValueCountFrequency (%)
인 55
10.9%
중 51
10.1%
광 50
9.9%
역 50
9.9%
시 50
9.9%
구 50
9.9%
천 50
9.9%
동 50
9.9%
가 22
 
4.3%
신 20
 
4.0%
Other values (16) 58
11.5%

우편번호
Real number (ℝ)

Distinct22
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22323.96
Minimum22302
Maximum22349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T21:57:42.055546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22302
5-th percentile22304.45
Q122316
median22322
Q322332
95-th percentile22348
Maximum22349
Range47
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.799809
Coefficient of variation (CV)0.0005733664
Kurtosis-0.37845313
Mean22323.96
Median Absolute Deviation (MAD)7
Skewness0.4511438
Sum1116198
Variance163.8351
MonotonicityNot monotonic
2024-01-28T21:57:42.154115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
22322 13
26.0%
22348 5
 
10.0%
22316 4
 
8.0%
22332 3
 
6.0%
22321 3
 
6.0%
22339 2
 
4.0%
22304 2
 
4.0%
22313 2
 
4.0%
22333 2
 
4.0%
22305 2
 
4.0%
Other values (12) 12
24.0%
ValueCountFrequency (%)
22302 1
 
2.0%
22304 2
4.0%
22305 2
4.0%
22307 1
 
2.0%
22308 1
 
2.0%
22313 2
4.0%
22314 1
 
2.0%
22316 4
8.0%
22317 1
 
2.0%
22318 1
 
2.0%
ValueCountFrequency (%)
22349 1
 
2.0%
22348 5
 
10.0%
22339 2
 
4.0%
22338 1
 
2.0%
22337 1
 
2.0%
22333 2
 
4.0%
22332 3
 
6.0%
22328 1
 
2.0%
22324 1
 
2.0%
22322 13
26.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2021-08-05
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-05
2nd row2021-08-05
3rd row2021-08-05
4th row2021-08-05
5th row2021-08-05

Common Values

ValueCountFrequency (%)
2021-08-05 50
100.0%

Length

2024-01-28T21:57:42.254776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:42.325534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-05 50
100.0%

Interactions

2024-01-28T21:57:40.157221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:57:40.035753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:57:40.217895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:57:40.095938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:57:42.372225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형도로명주소지번주소우편번호
연번1.0000.4461.0000.8640.789
유형0.4461.0001.0000.0000.000
도로명주소1.0001.0001.0001.0001.000
지번주소0.8640.0001.0001.0001.000
우편번호0.7890.0001.0001.0001.000
2024-01-28T21:57:42.456606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호유형
연번1.000-0.0180.307
우편번호-0.0181.0000.000
유형0.3070.0001.000

Missing values

2024-01-28T21:57:40.314804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:57:40.403443image/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

연번구유형도로명주소지번주소우편번호데이터기준일자
01중구구두수선대인천광역시 중구 서해대로 222 (신흥동3가)인천광역시 중구 신흥동3가 52223392021-08-05
12중구가로판매대인천광역시 중구 서해대로 224-1 (신흥동3가)인천광역시 중구 신흥동3가 52223392021-08-05
23중구가로판매대인천광역시 중구 아암대로 12 (신흥동3가)인천광역시 중구 신흥동3가 7-317223322021-08-05
34중구가로판매대인천광역시 중구 축항대로 146 (항동7가)인천광역시 중구 항동7가 27-170223372021-08-05
45중구가로판매대인천광역시 중구 축항대로 236 (항동7가)인천광역시 중구 항동7가 90-1223382021-08-05
56중구구두수선대인천광역시 중구 신포로 30 (신포동)인천광역시 중구 신포동 66-1223222021-08-05
67중구가로판매대인천광역시 중구 연안부두로 68 (항동7가)인천광역시 중구 항동7가 86223492021-08-05
78중구가로판매대인천광역시 중구 우현로 41-2 (신포동)인천광역시 중구 신포동 15-2223222021-08-05
89중구가로판매대인천광역시 중구 우현로 44-1 (답동)인천광역시 중구 답동 5-3223212021-08-05
910중구구두수선대인천광역시 중구 우현로 53-1 (내동)인천광역시 중구 내동 209-7223222021-08-05
연번구유형도로명주소지번주소우편번호데이터기준일자
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