Overview

Dataset statistics

Number of variables5
Number of observations135
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory44.0 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 미추홀구의 황색봉투 및 PP마대 판매소 현황으로 판매소명, 주소, 위도, 경도 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15116538/fileData.do

Alerts

연번 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:51:31.997069
Analysis finished2023-12-12 12:51:33.457340
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:51:33.535325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.7
Q134.5
median68
Q3101.5
95-th percentile128.3
Maximum135
Range134
Interquartile range (IQR)67

Descriptive statistics

Standard deviation39.115214
Coefficient of variation (CV)0.57522374
Kurtosis-1.2
Mean68
Median Absolute Deviation (MAD)34
Skewness0
Sum9180
Variance1530
MonotonicityStrictly increasing
2023-12-12T21:51:33.683694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
94 1
 
0.7%
88 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
95 1
 
0.7%
2 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%

판매소명
Text

Distinct132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T21:51:33.988824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.237037
Min length3

Characters and Unicode

Total characters977
Distinct characters195
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)95.6%

Sample

1st row이마트24 R도화양지점
2nd rowGS25 도화동아점
3rd rowCU 도화세림점
4th row하나로공판장마트
5th row이마트24 주안한빛점
ValueCountFrequency (%)
cu 11
 
5.9%
gs25 11
 
5.9%
세븐일레븐 10
 
5.4%
이마트24 5
 
2.7%
씨유 5
 
2.7%
소비자공판장 2
 
1.1%
gs 2
 
1.1%
주안신기점 2
 
1.1%
그린마트 2
 
1.1%
만인슈퍼 1
 
0.5%
Other values (134) 134
72.4%
2023-12-12T21:51:34.478261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 70
 
7.2%
트 66
 
6.8%
54
 
5.5%
점 46
 
4.7%
주 30
 
3.1%
안 29
 
3.0%
븐 22
 
2.3%
인 21
 
2.1%
일 19
 
1.9%
퍼 18
 
1.8%
Other values (185) 602
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
81.7%
Uppercase Letter 76
 
7.8%
Space Separator 54
 
5.5%
Decimal Number 41
 
4.2%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 70
 
8.8%
트 66
 
8.3%
점 46
 
5.8%
주 30
 
3.8%
안 29
 
3.6%
븐 22
 
2.8%
인 21
 
2.6%
일 19
 
2.4%
퍼 18
 
2.3%
할 18
 
2.3%
Other values (165) 459
57.5%
Uppercase Letter
ValueCountFrequency (%)
G 18
23.7%
C 17
22.4%
S 17
22.4%
U 12
15.8%
D 4
 
5.3%
R 2
 
2.6%
A 2
 
2.6%
P 1
 
1.3%
E 1
 
1.3%
F 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 18
43.9%
5 14
34.1%
4 5
 
12.2%
3 2
 
4.9%
6 1
 
2.4%
1 1
 
2.4%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
81.7%
Common 103
 
10.5%
Latin 76
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 70
 
8.8%
트 66
 
8.3%
점 46
 
5.8%
주 30
 
3.8%
안 29
 
3.6%
븐 22
 
2.8%
인 21
 
2.6%
일 19
 
2.4%
퍼 18
 
2.3%
할 18
 
2.3%
Other values (165) 459
57.5%
Latin
ValueCountFrequency (%)
G 18
23.7%
C 17
22.4%
S 17
22.4%
U 12
15.8%
D 4
 
5.3%
R 2
 
2.6%
A 2
 
2.6%
P 1
 
1.3%
E 1
 
1.3%
F 1
 
1.3%
Common
ValueCountFrequency (%)
54
52.4%
2 18
 
17.5%
5 14
 
13.6%
4 5
 
4.9%
( 4
 
3.9%
) 4
 
3.9%
3 2
 
1.9%
6 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
81.7%
ASCII 179
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 70
 
8.8%
트 66
 
8.3%
점 46
 
5.8%
주 30
 
3.8%
안 29
 
3.6%
븐 22
 
2.8%
인 21
 
2.6%
일 19
 
2.4%
퍼 18
 
2.3%
할 18
 
2.3%
Other values (165) 459
57.5%
ASCII
ValueCountFrequency (%)
54
30.2%
2 18
 
10.1%
G 18
 
10.1%
C 17
 
9.5%
S 17
 
9.5%
5 14
 
7.8%
U 12
 
6.7%
4 5
 
2.8%
D 4
 
2.2%
( 4
 
2.2%
Other values (10) 16
 
8.9%

주소
Text

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T21:51:34.788991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length22.474074
Min length17

Characters and Unicode

Total characters3034
Distinct characters104
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 석바위로 31
2nd row인천광역시 미추홀구 경인로 203
3rd row인천광역시 미추홀구 경인로 255
4th row인천광역시 미추홀구 경인로172번길 1
5th row인천광역시 미추홀구 수봉로171번길 3
ValueCountFrequency (%)
인천광역시 135
23.3%
미추홀구 135
23.3%
1층 14
 
2.4%
염창로 4
 
0.7%
석바위로 4
 
0.7%
독배로 4
 
0.7%
소성로 4
 
0.7%
경인로 4
 
0.7%
주승로 4
 
0.7%
30 3
 
0.5%
Other values (218) 269
46.4%
2023-12-12T21:51:35.229392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
 
14.7%
인 170
 
5.6%
추 145
 
4.8%
미 145
 
4.8%
홀 145
 
4.8%
1 137
 
4.5%
구 136
 
4.5%
시 135
 
4.4%
역 135
 
4.4%
광 135
 
4.4%
Other values (94) 1306
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1937
63.8%
Decimal Number 585
 
19.3%
Space Separator 445
 
14.7%
Other Punctuation 26
 
0.9%
Dash Punctuation 20
 
0.7%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 170
 
8.8%
추 145
 
7.5%
미 145
 
7.5%
홀 145
 
7.5%
구 136
 
7.0%
시 135
 
7.0%
역 135
 
7.0%
광 135
 
7.0%
천 135
 
7.0%
로 119
 
6.1%
Other values (76) 537
27.7%
Decimal Number
ValueCountFrequency (%)
1 137
23.4%
3 80
13.7%
2 70
12.0%
4 55
9.4%
5 53
 
9.1%
6 47
 
8.0%
0 41
 
7.0%
9 38
 
6.5%
8 32
 
5.5%
7 32
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
H 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
445
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1937
63.8%
Common 1094
36.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 170
 
8.8%
추 145
 
7.5%
미 145
 
7.5%
홀 145
 
7.5%
구 136
 
7.0%
시 135
 
7.0%
역 135
 
7.0%
광 135
 
7.0%
천 135
 
7.0%
로 119
 
6.1%
Other values (76) 537
27.7%
Common
ValueCountFrequency (%)
445
40.7%
1 137
 
12.5%
3 80
 
7.3%
2 70
 
6.4%
4 55
 
5.0%
5 53
 
4.8%
6 47
 
4.3%
0 41
 
3.7%
9 38
 
3.5%
8 32
 
2.9%
Other values (5) 96
 
8.8%
Latin
ValueCountFrequency (%)
A 1
33.3%
H 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1937
63.8%
ASCII 1097
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
40.6%
1 137
 
12.5%
3 80
 
7.3%
2 70
 
6.4%
4 55
 
5.0%
5 53
 
4.8%
6 47
 
4.3%
0 41
 
3.7%
9 38
 
3.5%
8 32
 
2.9%
Other values (8) 99
 
9.0%
Hangul
ValueCountFrequency (%)
인 170
 
8.8%
추 145
 
7.5%
미 145
 
7.5%
홀 145
 
7.5%
구 136
 
7.0%
시 135
 
7.0%
역 135
 
7.0%
광 135
 
7.0%
천 135
 
7.0%
로 119
 
6.1%
Other values (76) 537
27.7%

위도
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.453539
Minimum37.434672
Maximum37.470429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:51:35.352441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434672
5-th percentile37.438938
Q137.445849
median37.45492
Q337.460629
95-th percentile37.465836
Maximum37.470429
Range0.0357572
Interquartile range (IQR)0.014780425

Descriptive statistics

Standard deviation0.0087656609
Coefficient of variation (CV)0.00023404093
Kurtosis-1.066019
Mean37.453539
Median Absolute Deviation (MAD)0.00704518
Skewness-0.21109782
Sum5056.2277
Variance7.6836812 × 10-5
MonotonicityNot monotonic
2023-12-12T21:51:35.715458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46090892 1
 
0.7%
37.46396589 1
 
0.7%
37.45754178 1
 
0.7%
37.45659257 1
 
0.7%
37.45666052 1
 
0.7%
37.46114472 1
 
0.7%
37.46020349 1
 
0.7%
37.45889659 1
 
0.7%
37.46275551 1
 
0.7%
37.46531575 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
37.43467171 1
0.7%
37.43772898 1
0.7%
37.43778893 1
0.7%
37.43796595 1
0.7%
37.438637 1
0.7%
37.43869053 1
0.7%
37.43884555 1
0.7%
37.4389782 1
0.7%
37.43906335 1
0.7%
37.43939585 1
0.7%
ValueCountFrequency (%)
37.47042891 1
0.7%
37.46878069 1
0.7%
37.46816983 1
0.7%
37.46691948 1
0.7%
37.46679707 1
0.7%
37.46593798 1
0.7%
37.46586443 1
0.7%
37.46582344 1
0.7%
37.4655849 1
0.7%
37.46554181 1
0.7%

경도
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67128
Minimum126.63802
Maximum126.69621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:51:35.827078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63802
5-th percentile126.64607
Q1126.66075
median126.67448
Q3126.68131
95-th percentile126.69211
Maximum126.69621
Range0.0581953
Interquartile range (IQR)0.02056775

Descriptive statistics

Standard deviation0.01458411
Coefficient of variation (CV)0.00011513351
Kurtosis-0.65105217
Mean126.67128
Median Absolute Deviation (MAD)0.00951
Skewness-0.44318827
Sum17100.623
Variance0.00021269625
MonotonicityNot monotonic
2023-12-12T21:51:35.938161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6765929 1
 
0.7%
126.6878616 1
 
0.7%
126.6395418 1
 
0.7%
126.6411399 1
 
0.7%
126.6380152 1
 
0.7%
126.6876146 1
 
0.7%
126.6937256 1
 
0.7%
126.6934897 1
 
0.7%
126.6912356 1
 
0.7%
126.6654591 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
126.6380152 1
0.7%
126.639149 1
0.7%
126.6395418 1
0.7%
126.6411399 1
0.7%
126.6426622 1
0.7%
126.6453355 1
0.7%
126.6457525 1
0.7%
126.646209 1
0.7%
126.6464397 1
0.7%
126.6464686 1
0.7%
ValueCountFrequency (%)
126.6962105 1
0.7%
126.6954181 1
0.7%
126.6946046 1
0.7%
126.6945277 1
0.7%
126.6937256 1
0.7%
126.6934897 1
0.7%
126.6928006 1
0.7%
126.6918147 1
0.7%
126.6917951 1
0.7%
126.6915317 1
0.7%

Interactions

2023-12-12T21:51:32.955209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:32.278848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:32.620522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:33.071427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:32.403316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:32.719605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:33.165692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:32.523890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:32.839947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:51:36.017750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.8030.824
위도0.8031.0000.552
경도0.8240.5521.000
2023-12-12T21:51:36.085491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.2970.015
위도-0.2971.000-0.161
경도0.015-0.1611.000

Missing values

2023-12-12T21:51:33.312634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:51:33.412952image/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

연번판매소명주소위도경도
01이마트24 R도화양지점인천광역시 미추홀구 석바위로 3137.460909126.676593
12GS25 도화동아점인천광역시 미추홀구 경인로 20337.465316126.665459
23CU 도화세림점인천광역시 미추홀구 경인로 25537.463228126.67069
34하나로공판장마트인천광역시 미추홀구 경인로172번길 137.465864126.66171
45이마트24 주안한빛점인천광역시 미추홀구 수봉로171번길 337.459302126.668162
56정성마트인천광역시 미추홀구 수봉로181번길 4637.460869126.670372
67홈마트 도화점인천광역시 미추홀구 제일로 3937.459078126.674615
78CU 수봉공원점인천광역시 미추홀구 경인로 186-137.465444126.663204
89그린마트인천광역시 미추홀구 숙골로8번길 40-437.465108126.670709
910수연슈퍼인천광역시 미추홀구 석정로324번길 21-337.466797126.671324
연번판매소명주소위도경도
125126한우촌웰빙할인마트인천광역시 미추홀구 주승로 232, 1층(관교동)37.442541126.694528
126127조광할인마트인천광역시 미추홀구 인하로396번길 1937.446743126.691795
127128대경할인마트인천광역시 미추홀구 주승로 18337.445525126.690879
128129씨유 관교동아인천광역시 미추홀구 인하로430번길 937.445037126.694605
129130한아름마트인천광역시 미추홀구 인하로 44637.444352126.696211
130131불티나소비자마트인천광역시 미추홀구 주승로197번길 13-3637.445844126.691815
131132공원식품인천광역시 미추홀구 수봉로 8137.459659126.659565
132133슈퍼맨마트인천광역시 미추홀구 경인로142번길 137.465938126.658308
133134웰빙DC마트인천광역시 미추홀구 인하로 25337.448519126.676251
134135이마트24 주안신기점인천광역시 미추홀구 신기길58번길 43-3, 1층 상가동(주안동, 건우스카이빌)37.445447126.674386