Overview

Dataset statistics

Number of variables5
Number of observations52
Missing cells4
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory42.5 B

Variable types

Text4
DateTime1

Dataset

Description서울특별시 금천구 관내 착한가격업소 현황으로 업소명, 주소, 전화번호, 메뉴, 데이터기준일자 등의 항목을 제공하고 있습니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15034141/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 4 (7.7%) missing valuesMissing
업소명 has unique valuesUnique
메뉴 has unique valuesUnique

Reproduction

Analysis started2024-04-13 11:30:25.388511
Analysis finished2024-04-13 11:30:28.550594
Duration3.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-13T20:30:29.284903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3846154
Min length3

Characters and Unicode

Total characters280
Distinct characters157
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row영화미용실
2nd row정훈사
3rd row금천골 오리명가
4th row짱아미용실
5th row고기마을호수
ValueCountFrequency (%)
영화미용실 1
 
1.7%
뚝배기육칼 1
 
1.7%
왕래성 1
 
1.7%
카와블러썸 1
 
1.7%
은진미용실 1
 
1.7%
국수집 1
 
1.7%
수미용실 1
 
1.7%
춘천12 1
 
1.7%
푸드플러스 1
 
1.7%
연스튜디오 1
 
1.7%
Other values (48) 48
82.8%
2024-04-13T20:30:30.646063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 8
 
2.9%
리 7
 
2.5%
세 7
 
2.5%
미 6
 
2.1%
6
 
2.1%
소 6
 
2.1%
탁 5
 
1.8%
5
 
1.8%
용 5
 
1.8%
실 5
 
1.8%
Other values (147) 220
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
93.2%
Space Separator 6
 
2.1%
Control 5
 
1.8%
Uppercase Letter 5
 
1.8%
Decimal Number 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 8
 
3.1%
리 7
 
2.7%
세 7
 
2.7%
미 6
 
2.3%
소 6
 
2.3%
탁 5
 
1.9%
용 5
 
1.9%
실 5
 
1.9%
국 5
 
1.9%
이 5
 
1.9%
Other values (137) 202
77.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
S 1
20.0%
E 1
20.0%
B 1
20.0%
G 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Control
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
93.2%
Common 14
 
5.0%
Latin 5
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 8
 
3.1%
리 7
 
2.7%
세 7
 
2.7%
미 6
 
2.3%
소 6
 
2.3%
탁 5
 
1.9%
용 5
 
1.9%
실 5
 
1.9%
국 5
 
1.9%
이 5
 
1.9%
Other values (137) 202
77.4%
Common
ValueCountFrequency (%)
6
42.9%
5
35.7%
1 1
 
7.1%
2 1
 
7.1%
7 1
 
7.1%
Latin
ValueCountFrequency (%)
T 1
20.0%
S 1
20.0%
E 1
20.0%
B 1
20.0%
G 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
93.2%
ASCII 19
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 8
 
3.1%
리 7
 
2.7%
세 7
 
2.7%
미 6
 
2.3%
소 6
 
2.3%
탁 5
 
1.9%
용 5
 
1.9%
실 5
 
1.9%
국 5
 
1.9%
이 5
 
1.9%
Other values (137) 202
77.4%
ASCII
ValueCountFrequency (%)
6
31.6%
5
26.3%
1 1
 
5.3%
2 1
 
5.3%
T 1
 
5.3%
S 1
 
5.3%
E 1
 
5.3%
B 1
 
5.3%
7 1
 
5.3%
G 1
 
5.3%

주소
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-13T20:30:31.555947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length14.769231
Min length9

Characters and Unicode

Total characters768
Distinct characters58
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

Unique50 ?
Unique (%)96.2%

Sample

1st row금천구 독산로44길 15
2nd row금천구 독산로73길 9
3rd row금천구 시흥대로78길59
4th row금천구 시흥대로126길22-7
5th row금천구 벚꽃로 73
ValueCountFrequency (%)
금천구 52
29.4%
1층 7
 
4.0%
가산로 5
 
2.8%
시흥대로 4
 
2.3%
벚꽃로 4
 
2.3%
금하로 4
 
2.3%
가산로3길 3
 
1.7%
16 2
 
1.1%
가산디지털1로 2
 
1.1%
시흥대로153길 2
 
1.1%
Other values (86) 92
52.0%
2024-04-13T20:30:32.937273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
16.3%
금 59
 
7.7%
구 52
 
6.8%
로 52
 
6.8%
천 52
 
6.8%
1 50
 
6.5%
길 31
 
4.0%
2 29
 
3.8%
3 26
 
3.4%
0 20
 
2.6%
Other values (48) 272
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
52.9%
Decimal Number 214
27.9%
Space Separator 125
 
16.3%
Other Punctuation 11
 
1.4%
Dash Punctuation 8
 
1.0%
Uppercase Letter 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 59
14.5%
구 52
12.8%
로 52
12.8%
천 52
12.8%
길 31
 
7.6%
산 18
 
4.4%
대 16
 
3.9%
흥 15
 
3.7%
시 15
 
3.7%
가 14
 
3.4%
Other values (32) 82
20.2%
Decimal Number
ValueCountFrequency (%)
1 50
23.4%
2 29
13.6%
3 26
12.1%
0 20
 
9.3%
4 18
 
8.4%
9 15
 
7.0%
8 14
 
6.5%
7 14
 
6.5%
5 14
 
6.5%
6 14
 
6.5%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
52.9%
Common 360
46.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 59
14.5%
구 52
12.8%
로 52
12.8%
천 52
12.8%
길 31
 
7.6%
산 18
 
4.4%
대 16
 
3.9%
흥 15
 
3.7%
시 15
 
3.7%
가 14
 
3.4%
Other values (32) 82
20.2%
Common
ValueCountFrequency (%)
125
34.7%
1 50
 
13.9%
2 29
 
8.1%
3 26
 
7.2%
0 20
 
5.6%
4 18
 
5.0%
9 15
 
4.2%
8 14
 
3.9%
7 14
 
3.9%
5 14
 
3.9%
Other values (5) 35
 
9.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
52.9%
ASCII 362
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
34.5%
1 50
 
13.8%
2 29
 
8.0%
3 26
 
7.2%
0 20
 
5.5%
4 18
 
5.0%
9 15
 
4.1%
8 14
 
3.9%
7 14
 
3.9%
5 14
 
3.9%
Other values (6) 37
 
10.2%
Hangul
ValueCountFrequency (%)
금 59
14.5%
구 52
12.8%
로 52
12.8%
천 52
12.8%
길 31
 
7.6%
산 18
 
4.4%
대 16
 
3.9%
흥 15
 
3.7%
시 15
 
3.7%
가 14
 
3.4%
Other values (32) 82
20.2%

전화번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing4
Missing (%)7.7%
Memory size544.0 B
2024-04-13T20:30:33.799755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.104167
Min length11

Characters and Unicode

Total characters533
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

Unique48 ?
Unique (%)100.0%

Sample

1st row02-805-2864
2nd row02-839-8389
3rd row02-808-1246
4th row02-868-6262
5th row02-895-0134
ValueCountFrequency (%)
02-839-8389 1
 
2.1%
02-808-1246 1
 
2.1%
02-863-3719 1
 
2.1%
070-4133-7322 1
 
2.1%
02-867-4952 1
 
2.1%
02-894-5243 1
 
2.1%
02-809-8013 1
 
2.1%
02-896-8960 1
 
2.1%
02-858-4235 1
 
2.1%
02-802-0286 1
 
2.1%
Other values (38) 38
79.2%
2024-04-13T20:30:35.082729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
18.0%
0 85
15.9%
2 81
15.2%
8 76
14.3%
5 40
7.5%
9 32
 
6.0%
1 28
 
5.3%
3 27
 
5.1%
6 25
 
4.7%
4 23
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 437
82.0%
Dash Punctuation 96
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
19.5%
2 81
18.5%
8 76
17.4%
5 40
9.2%
9 32
 
7.3%
1 28
 
6.4%
3 27
 
6.2%
6 25
 
5.7%
4 23
 
5.3%
7 20
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 533
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
18.0%
0 85
15.9%
2 81
15.2%
8 76
14.3%
5 40
7.5%
9 32
 
6.0%
1 28
 
5.3%
3 27
 
5.1%
6 25
 
4.7%
4 23
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
18.0%
0 85
15.9%
2 81
15.2%
8 76
14.3%
5 40
7.5%
9 32
 
6.0%
1 28
 
5.3%
3 27
 
5.1%
6 25
 
4.7%
4 23
 
4.3%

메뉴
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-13T20:30:35.915659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29.5
Mean length19.634615
Min length8

Characters and Unicode

Total characters1021
Distinct characters129
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row커트 7000원+파마 25000원
2nd row정장(상하) 7000원+의복수선료 4000원
3rd row된장찌개 7000원+순두부찌개 7000원
4th row커트 8000원+파마 25000원
5th row된장찌개 6000원+냉면 6000원+순두부찌개 6000원
ValueCountFrequency (%)
커트 9
 
5.7%
8000원 7
 
4.4%
7000원 6
 
3.8%
4000원 6
 
3.8%
6000원 6
 
3.8%
칼국수 4
 
2.5%
짜장면 4
 
2.5%
양복 3
 
1.9%
3000원 3
 
1.9%
아메리카노 3
 
1.9%
Other values (92) 108
67.9%
2024-04-13T20:30:37.162302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 293
28.7%
107
 
10.5%
원 102
 
10.0%
+ 49
 
4.8%
5 34
 
3.3%
6 18
 
1.8%
2 17
 
1.7%
장 16
 
1.6%
7 14
 
1.4%
3 13
 
1.3%
Other values (119) 358
35.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 429
42.0%
Other Letter 426
41.7%
Space Separator 107
 
10.5%
Math Symbol 49
 
4.8%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 102
23.9%
장 16
 
3.8%
개 12
 
2.8%
트 11
 
2.6%
찌 11
 
2.6%
수 10
 
2.3%
커 10
 
2.3%
면 10
 
2.3%
국 9
 
2.1%
밥 8
 
1.9%
Other values (104) 227
53.3%
Decimal Number
ValueCountFrequency (%)
0 293
68.3%
5 34
 
7.9%
6 18
 
4.2%
2 17
 
4.0%
7 14
 
3.3%
3 13
 
3.0%
1 12
 
2.8%
4 12
 
2.8%
8 11
 
2.6%
9 5
 
1.2%
Space Separator
ValueCountFrequency (%)
107
100.0%
Math Symbol
ValueCountFrequency (%)
+ 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 595
58.3%
Hangul 426
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 102
23.9%
장 16
 
3.8%
개 12
 
2.8%
트 11
 
2.6%
찌 11
 
2.6%
수 10
 
2.3%
커 10
 
2.3%
면 10
 
2.3%
국 9
 
2.1%
밥 8
 
1.9%
Other values (104) 227
53.3%
Common
ValueCountFrequency (%)
0 293
49.2%
107
 
18.0%
+ 49
 
8.2%
5 34
 
5.7%
6 18
 
3.0%
2 17
 
2.9%
7 14
 
2.4%
3 13
 
2.2%
1 12
 
2.0%
4 12
 
2.0%
Other values (5) 26
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 595
58.3%
Hangul 426
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 293
49.2%
107
 
18.0%
+ 49
 
8.2%
5 34
 
5.7%
6 18
 
3.0%
2 17
 
2.9%
7 14
 
2.4%
3 13
 
2.2%
1 12
 
2.0%
4 12
 
2.0%
Other values (5) 26
 
4.4%
Hangul
ValueCountFrequency (%)
원 102
23.9%
장 16
 
3.8%
개 12
 
2.8%
트 11
 
2.6%
찌 11
 
2.6%
수 10
 
2.3%
커 10
 
2.3%
면 10
 
2.3%
국 9
 
2.1%
밥 8
 
1.9%
Other values (104) 227
53.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size544.0 B
Minimum2024-04-05 00:00:00
Maximum2024-04-05 00:00:00
2024-04-13T20:30:37.512375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:30:37.801378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-13T20:30:38.006737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소전화번호메뉴
업소명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
메뉴1.0001.0001.0001.000

Missing values

2024-04-13T20:30:28.088842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:30:28.415702image/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

업소명주소전화번호메뉴데이터기준일자
0영화미용실금천구 독산로44길 1502-805-2864커트 7000원+파마 25000원2024-04-05
1정훈사금천구 독산로73길 902-839-8389정장(상하) 7000원+의복수선료 4000원2024-04-05
2금천골 오리명가금천구 시흥대로78길5902-808-1246된장찌개 7000원+순두부찌개 7000원2024-04-05
3짱아미용실금천구 시흥대로126길22-702-868-6262커트 8000원+파마 25000원2024-04-05
4고기마을호수금천구 벚꽃로 7302-895-0134된장찌개 6000원+냉면 6000원+순두부찌개 6000원2024-04-05
5G7크린랜드금천구 금하로 29길 1402-803-7600정장한벌 6000원+와이셔츠 2500원2024-04-05
6듬배골금천구 독산로10길 3802-803-8411보리밥 9000원+냉면 6000원+왕갈비탕 12000원2024-04-05
7BEST남성전문컷금천구 가산로 140, 1층02-855-8805커트 9000원+염색 35000원2024-04-05
8가영미용실금천구 시흥대로39길 802-715-4539커트 8000원+ 파마 20000원2024-04-05
9고기굽는마을금천구 벚꽃로38길 32-2902-868-0390백반 7000원+김치찌개 8000원+된장찌개 8000원2024-04-05
업소명주소전화번호메뉴데이터기준일자
42형제치킨금천구 시흥대로47길 28-9, 1층02-895-9992크리스피 12000원2024-04-05
43시원손칼국수 가산점금천구 가산로 12602-851-0045칼국수 6500원+수제비 6500원2024-04-05
44하이 베를리너금천구 가산로9길 12<NA>아메리카노 2500원2024-04-05
45다도해수산금천구 남부순환로108길 27, 1층02-2688-5188알밥 8000원+양념꽃게정식(돌솥밥) 13000원2024-04-05
46빨간떢볶이금천구 금하로24길 16<NA>떡볶이 4000원+순대 4000원2024-04-05
47써니밥상금천구 시흥대로 36402-891-8918청국장 7000원+된장찌개 7000원+순두부찌개 7000원2024-04-05
48머리나라금천구 시흥대로63길 5002-805-1305남성커트 8000원2024-04-05
49김밥천국금천구 시흥대로50길 1002-894-7772천국김밥 2500원+라면 3500원+콩국수 6000원2024-04-05
50유별난숯불꼼장어금천구 금하로 14길 1002-803-4635냉면 6000원2024-04-05
51먹거리휴게소금천구 벚꽃로 309 (1호선 상행선 10-4 앞)02-869-1318옛날토스트 2000원+김밥 3000원+우동 4000원2024-04-05