Overview

Dataset statistics

Number of variables62
Number of observations653
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory324.7 KiB
Average record size in memory509.2 B

Variable types

Numeric12
Text5
Categorical43
Unsupported2

Dataset

Description2022년 기업매칭 지원사업 결과물입니다. 서울특별시 광진구 전통시장 점포 이용성 최신화 데이터를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15111226/fileData.do

Alerts

여성주차면 여부(wm_parking_ny) has constant value ""Constant
시도 명칭(sido_nm) has constant value ""Constant
시군구 명칭(sgg_nm) has constant value ""Constant
분점명(chain_poi_nm) is highly imbalanced (83.7%)Imbalance
카테고리1(cate1) is highly imbalanced (56.4%)Imbalance
농수산상품권(agri_fish_ny) is highly imbalanced (98.3%)Imbalance
키오스크 사용 여부(kiosk_ny) is highly imbalanced (90.5%)Imbalance
배달_땡겨요(delivery_ddangyo_ny) is highly imbalanced (78.7%)Imbalance
배달_배민(delivery_baemin_ny) is highly imbalanced (59.4%)Imbalance
배달_요기요(delivery_yogiyo_ny) is highly imbalanced (73.8%)Imbalance
배달_놀장(delivery_noljang_ny) is highly imbalanced (93.5%)Imbalance
배달_네이버장보기(delivery_naver_ny) is highly imbalanced (95.8%)Imbalance
배달_빈손장보기(delivery_binson_ny) is highly imbalanced (94.6%)Imbalance
배달_바로고(delivery_barogo_ny) is highly imbalanced (98.3%)Imbalance
배달_온라인장보기(delivery_online_ny) is highly imbalanced (98.3%)Imbalance
배달_고기나우(delivery_goginow_ny) is highly imbalanced (98.3%)Imbalance
시각장애인 안내견 동반 가능 여부(blind_guidedog_ny) is highly imbalanced (73.8%)Imbalance
최종작성일(final_end_dt) is highly imbalanced (73.8%)Imbalance
연번(no) has unique valuesUnique
시장별 연번(market_num) has unique valuesUnique
카테고리ID(cate_id) is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물 번호(bld_num) is an unsupported type, check if it needs cleaning or further analysisUnsupported
평일 시작시간(weekday_start_time) has 54 (8.3%) zerosZeros
평일 종료시간(weekday_end_time) has 46 (7.0%) zerosZeros
토요일 시작시간(sat_start_time) has 61 (9.3%) zerosZeros
토요일 종료시간(sat_end_time) has 52 (8.0%) zerosZeros
일요일 시작시간(sun_start_time) has 224 (34.3%) zerosZeros
일요일 종료시간(sun_end_time) has 216 (33.1%) zerosZeros
공휴일 시작시간(holiday_start_time) has 77 (11.8%) zerosZeros
공휴일 종료시간(holiday_end_time) has 71 (10.9%) zerosZeros

Reproduction

Analysis started2023-12-13 00:35:28.404630
Analysis finished2023-12-13 00:35:29.325125
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번(no)
Real number (ℝ)

UNIQUE 

Distinct653
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327
Minimum1
Maximum653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:29.377793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.6
Q1164
median327
Q3490
95-th percentile620.4
Maximum653
Range652
Interquartile range (IQR)326

Descriptive statistics

Standard deviation188.64915
Coefficient of variation (CV)0.5769087
Kurtosis-1.2
Mean327
Median Absolute Deviation (MAD)163
Skewness0
Sum213531
Variance35588.5
MonotonicityStrictly increasing
2023-12-13T09:35:29.485332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
450 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
437 1
 
0.2%
438 1
 
0.2%
439 1
 
0.2%
Other values (643) 643
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
653 1
0.2%
652 1
0.2%
651 1
0.2%
650 1
0.2%
649 1
0.2%
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%
644 1
0.2%

시장별 연번(market_num)
Text

UNIQUE 

Distinct653
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-13T09:35:29.670686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length10.453292
Min length6

Characters and Unicode

Total characters6826
Distinct characters47
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

Unique653 ?
Unique (%)100.0%

Sample

1st row광성(중곡제일 내 건물형)-1
2nd row광성(중곡제일 내 건물형)-2
3rd row광성(중곡제일 내 건물형)-3
4th row광성(중곡제일 내 건물형)-4
5th row광성(중곡제일 내 건물형)-5
ValueCountFrequency (%)
광성(중곡제일 16
 
2.3%
내 16
 
2.3%
면곡시장-41 1
 
0.1%
화양제일시장-33 1
 
0.1%
화양제일시장-16 1
 
0.1%
화양제일시장-17 1
 
0.1%
화양제일시장-25 1
 
0.1%
화양제일시장-18 1
 
0.1%
화양제일시장-19 1
 
0.1%
화양제일시장-20 1
 
0.1%
Other values (645) 645
94.2%
2023-12-13T09:35:29.945921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 653
 
9.6%
시 455
 
6.7%
장 455
 
6.7%
( 437
 
6.4%
) 437
 
6.4%
목 313
 
4.6%
골 313
 
4.6%
양 230
 
3.4%
1 226
 
3.3%
제 214
 
3.1%
Other values (37) 3093
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4050
59.3%
Decimal Number 1217
 
17.8%
Dash Punctuation 653
 
9.6%
Open Punctuation 437
 
6.4%
Close Punctuation 437
 
6.4%
Space Separator 32
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 455
 
11.2%
장 455
 
11.2%
목 313
 
7.7%
골 313
 
7.7%
양 230
 
5.7%
제 214
 
5.3%
일 214
 
5.3%
형 198
 
4.9%
곡 173
 
4.3%
동 138
 
3.4%
Other values (23) 1347
33.3%
Decimal Number
ValueCountFrequency (%)
1 226
18.6%
2 164
13.5%
3 142
11.7%
4 124
10.2%
5 109
9.0%
6 102
8.4%
7 101
8.3%
8 92
7.6%
9 81
 
6.7%
0 76
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 653
100.0%
Open Punctuation
ValueCountFrequency (%)
( 437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 437
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4050
59.3%
Common 2776
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 455
 
11.2%
장 455
 
11.2%
목 313
 
7.7%
골 313
 
7.7%
양 230
 
5.7%
제 214
 
5.3%
일 214
 
5.3%
형 198
 
4.9%
곡 173
 
4.3%
동 138
 
3.4%
Other values (23) 1347
33.3%
Common
ValueCountFrequency (%)
- 653
23.5%
( 437
15.7%
) 437
15.7%
1 226
 
8.1%
2 164
 
5.9%
3 142
 
5.1%
4 124
 
4.5%
5 109
 
3.9%
6 102
 
3.7%
7 101
 
3.6%
Other values (4) 281
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4050
59.3%
ASCII 2776
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 653
23.5%
( 437
15.7%
) 437
15.7%
1 226
 
8.1%
2 164
 
5.9%
3 142
 
5.1%
4 124
 
4.5%
5 109
 
3.9%
6 102
 
3.7%
7 101
 
3.6%
Other values (4) 281
10.1%
Hangul
ValueCountFrequency (%)
시 455
 
11.2%
장 455
 
11.2%
목 313
 
7.7%
골 313
 
7.7%
양 230
 
5.7%
제 214
 
5.3%
일 214
 
5.3%
형 198
 
4.9%
곡 173
 
4.3%
동 138
 
3.4%
Other values (23) 1347
33.3%

소속 시장명(market_nm)
Categorical

Distinct14
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
자양(전통)시장
125 
중곡제일(골목)시장
105 
능동로(골목형)
85 
화양제일시장
84 
영동교(골목형)
53 
Other values (9)
201 

Length

Max length16
Median length10
Mean length8.0137825
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광성(건물형,중곡제일 내)시장
2nd row광성(건물형,중곡제일 내)시장
3rd row광성(건물형,중곡제일 내)시장
4th row광성(건물형,중곡제일 내)시장
5th row광성(건물형,중곡제일 내)시장

Common Values

ValueCountFrequency (%)
자양(전통)시장 125
19.1%
중곡제일(골목)시장 105
16.1%
능동로(골목형) 85
13.0%
화양제일시장 84
12.9%
영동교(골목형) 53
8.1%
면곡시장 43
 
6.6%
신성골목시장 40
 
6.1%
노룬산(골목형) 30
 
4.6%
한아름(건물형)시장 24
 
3.7%
조양시장(건물형) 21
 
3.2%
Other values (4) 43
 
6.6%

Length

2023-12-13T09:35:30.060135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자양(전통)시장 125
18.7%
중곡제일(골목)시장 105
15.7%
능동로(골목형 85
12.7%
화양제일시장 84
12.6%
영동교(골목형 53
7.9%
면곡시장 43
 
6.4%
신성골목시장 40
 
6.0%
노룬산(골목형 30
 
4.5%
한아름(건물형)시장 24
 
3.6%
조양시장(건물형 21
 
3.1%
Other values (5) 59
8.8%

시장 유형(market_type)
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
골목형 시장
498 
건물형 등록시장
72 
골목형 상점가(미인정)
 
43
골목형 시장(미인정)
 
40

Length

Max length12
Median length6
Mean length6.9218989
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row골목형 시장
2nd row골목형 시장
3rd row골목형 시장
4th row골목형 시장
5th row골목형 시장

Common Values

ValueCountFrequency (%)
골목형 시장 498
76.3%
건물형 등록시장 72
 
11.0%
골목형 상점가(미인정) 43
 
6.6%
골목형 시장(미인정) 40
 
6.1%

Length

2023-12-13T09:35:30.153124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:30.231890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목형 581
44.5%
시장 498
38.1%
건물형 72
 
5.5%
등록시장 72
 
5.5%
상점가(미인정 43
 
3.3%
시장(미인정 40
 
3.1%

시장 도로명주소(market_rd_address)
Categorical

Distinct14
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
뚝섬로47길 45-2(자양동)
125 
긴고랑로11길 14(중곡동)
121 
뚝섬로30길 23(자양동)
85 
아차산로29길 55(화양동)
78 
동일로10길 47(자양동)
53 
Other values (9)
191 

Length

Max length16
Median length15
Mean length14.597243
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row긴고랑로11길 14(중곡동)
2nd row긴고랑로11길 14(중곡동)
3rd row긴고랑로11길 14(중곡동)
4th row긴고랑로11길 14(중곡동)
5th row긴고랑로11길 14(중곡동)

Common Values

ValueCountFrequency (%)
뚝섬로47길 45-2(자양동) 125
19.1%
긴고랑로11길 14(중곡동) 121
18.5%
뚝섬로30길 23(자양동) 85
13.0%
아차산로29길 55(화양동) 78
11.9%
동일로10길 47(자양동) 53
8.1%
답십리로 368(중곡동) 43
 
6.6%
용마산로6길 9(중곡동) 40
 
6.1%
동일로10길 31(자양동) 39
 
6.0%
능동로13길 39(화양동) 24
 
3.7%
아차산로30길 39(자양동) 21
 
3.2%
Other values (4) 24
 
3.7%

Length

2023-12-13T09:35:30.320485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
긴고랑로11길 130
 
9.9%
뚝섬로47길 125
 
9.5%
45-2(자양동 125
 
9.5%
14(중곡동 121
 
9.2%
동일로10길 92
 
7.0%
뚝섬로30길 85
 
6.5%
23(자양동 85
 
6.5%
55(화양동 84
 
6.4%
아차산로29길 78
 
5.9%
47(자양동 53
 
4.0%
Other values (16) 334
25.5%

주차 가능 여부(parking_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
471 
불가
182 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 471
72.1%
불가 182
 
27.9%

Length

2023-12-13T09:35:30.412529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:30.482972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 471
72.1%
불가 182
 
27.9%

주 주차장명(parking_nm)
Categorical

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
없음
182 
중곡시장주차장
130 
자양전통시장 공영주차장
125 
한아름528 주차장
108 
신성시장길 노상공영주차장
44 
Other values (2)
64 

Length

Max length13
Median length12
Mean length7.7580398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 182
27.9%
중곡시장주차장 130
19.9%
자양전통시장 공영주차장 125
19.1%
한아름528 주차장 108
16.5%
신성시장길 노상공영주차장 44
 
6.7%
중곡3동 공영주차장 43
 
6.6%
자양4동 공영주차장 21
 
3.2%

Length

2023-12-13T09:35:30.562984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:30.654285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영주차장 189
19.0%
없음 182
18.3%
중곡시장주차장 130
13.1%
자양전통시장 125
12.6%
한아름528 108
10.9%
주차장 108
10.9%
신성시장길 44
 
4.4%
노상공영주차장 44
 
4.4%
중곡3동 43
 
4.3%
자양4동 21
 
2.1%

주 주차장 도로명주소(parking_rd_address)
Categorical

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
없음
182 
긴고랑로11길 14
130 
자양로13길 59
125 
능동로 13길 39
108 
영화사로27
44 
Other values (2)
64 

Length

Max length17
Median length13
Mean length7.7320061
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row긴고랑로11길 14
2nd row긴고랑로11길 14
3rd row긴고랑로11길 14
4th row긴고랑로11길 14
5th row긴고랑로11길 14

Common Values

ValueCountFrequency (%)
없음 182
27.9%
긴고랑로11길 14 130
19.9%
자양로13길 59 125
19.1%
능동로 13길 39 108
16.5%
영화사로27 44
 
6.7%
용마산로33길 25 지층 43
 
6.6%
자양동 5-5(도로명주소 없음) 21
 
3.2%

Length

2023-12-13T09:35:30.759928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:30.843886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 203
16.2%
긴고랑로11길 130
10.4%
14 130
10.4%
자양로13길 125
10.0%
59 125
10.0%
능동로 108
8.6%
13길 108
8.6%
39 108
8.6%
영화사로27 44
 
3.5%
용마산로33길 43
 
3.4%
Other values (4) 128
10.2%

여성주차면 여부(wm_parking_ny)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
없음
653 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 653
100.0%

Length

2023-12-13T09:35:30.937732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:31.006757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 653
100.0%

장애인 전용 주차면 여부(da_parking_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
없음
545 
있음
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 545
83.5%
있음 108
 
16.5%

Length

2023-12-13T09:35:31.081826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:31.153509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 545
83.5%
있음 108
 
16.5%

장애인 화장실 유무(da_toliet_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
있음
545 
없음
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
있음 545
83.5%
없음 108
 
16.5%

Length

2023-12-13T09:35:31.227831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:31.297236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 545
83.5%
없음 108
 
16.5%

시설명(poi_nm)
Text

Distinct634
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-13T09:35:31.502790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.2894334
Min length2

Characters and Unicode

Total characters3454
Distinct characters508
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)94.6%

Sample

1st rowBYC
2nd row고기사랑
3rd row광성김밥
4th row광성축산
5th row남해수산
ValueCountFrequency (%)
노점 7
 
0.9%
소문난 5
 
0.7%
야채 4
 
0.5%
자양 4
 
0.5%
순대국 4
 
0.5%
byc 3
 
0.4%
정육점 3
 
0.4%
고기사랑 3
 
0.4%
제일청과 2
 
0.3%
누룽지 2
 
0.3%
Other values (686) 703
95.0%
2023-12-13T09:35:31.834649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
2.5%
이 59
 
1.7%
산 49
 
1.4%
마 47
 
1.4%
장 45
 
1.3%
대 42
 
1.2%
일 40
 
1.2%
어 40
 
1.2%
리 40
 
1.2%
점 38
 
1.1%
Other values (498) 2967
85.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3260
94.4%
Space Separator 87
 
2.5%
Uppercase Letter 63
 
1.8%
Decimal Number 20
 
0.6%
Lowercase Letter 13
 
0.4%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 59
 
1.8%
산 49
 
1.5%
마 47
 
1.4%
장 45
 
1.4%
대 42
 
1.3%
일 40
 
1.2%
어 40
 
1.2%
리 40
 
1.2%
점 38
 
1.2%
떡 38
 
1.2%
Other values (455) 2822
86.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
12.7%
Y 7
11.1%
C 7
11.1%
R 5
 
7.9%
E 5
 
7.9%
G 4
 
6.3%
S 4
 
6.3%
I 3
 
4.8%
M 3
 
4.8%
L 3
 
4.8%
Other values (8) 14
22.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
15.4%
p 2
15.4%
c 1
7.7%
o 1
7.7%
r 1
7.7%
t 1
7.7%
n 1
7.7%
a 1
7.7%
h 1
7.7%
y 1
7.7%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
1 5
25.0%
3 3
15.0%
4 2
 
10.0%
7 1
 
5.0%
9 1
 
5.0%
5 1
 
5.0%
6 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
& 1
33.3%
! 1
33.3%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3254
94.2%
Common 118
 
3.4%
Latin 76
 
2.2%
Han 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 59
 
1.8%
산 49
 
1.5%
마 47
 
1.4%
장 45
 
1.4%
대 42
 
1.3%
일 40
 
1.2%
어 40
 
1.2%
리 40
 
1.2%
점 38
 
1.2%
떡 38
 
1.2%
Other values (449) 2816
86.5%
Latin
ValueCountFrequency (%)
B 8
 
10.5%
Y 7
 
9.2%
C 7
 
9.2%
R 5
 
6.6%
E 5
 
6.6%
G 4
 
5.3%
S 4
 
5.3%
I 3
 
3.9%
M 3
 
3.9%
L 3
 
3.9%
Other values (19) 27
35.5%
Common
ValueCountFrequency (%)
87
73.7%
2 6
 
5.1%
1 5
 
4.2%
( 4
 
3.4%
) 4
 
3.4%
3 3
 
2.5%
4 2
 
1.7%
7 1
 
0.8%
, 1
 
0.8%
& 1
 
0.8%
Other values (4) 4
 
3.4%
Han
ValueCountFrequency (%)
中 1
16.7%
食 1
16.7%
品 1
16.7%
源 1
16.7%
多 1
16.7%
國 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3253
94.2%
ASCII 194
 
5.6%
CJK 6
 
0.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
44.8%
B 8
 
4.1%
Y 7
 
3.6%
C 7
 
3.6%
2 6
 
3.1%
R 5
 
2.6%
E 5
 
2.6%
1 5
 
2.6%
( 4
 
2.1%
) 4
 
2.1%
Other values (33) 56
28.9%
Hangul
ValueCountFrequency (%)
이 59
 
1.8%
산 49
 
1.5%
마 47
 
1.4%
장 45
 
1.4%
대 42
 
1.3%
일 40
 
1.2%
어 40
 
1.2%
리 40
 
1.2%
점 38
 
1.2%
떡 38
 
1.2%
Other values (448) 2815
86.5%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%
CJK
ValueCountFrequency (%)
中 1
16.7%
食 1
16.7%
品 1
16.7%
源 1
16.7%
多 1
16.7%
國 1
16.7%

분점명(chain_poi_nm)
Categorical

IMBALANCE 

Distinct33
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
없음
596 
건대점
 
9
중곡점
 
7
본점
 
5
자양시장점
 
3
Other values (28)
 
33

Length

Max length7
Median length2
Mean length2.1623277
Min length2

Unique

Unique23 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
없음 596
91.3%
건대점 9
 
1.4%
중곡점 7
 
1.1%
본점 5
 
0.8%
자양시장점 3
 
0.5%
건대역점 2
 
0.3%
광진화양점 2
 
0.3%
화양점 2
 
0.3%
자양점 2
 
0.3%
건대본점 2
 
0.3%
Other values (23) 23
 
3.5%

Length

2023-12-13T09:35:31.938097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 596
91.3%
건대점 9
 
1.4%
중곡점 7
 
1.1%
본점 5
 
0.8%
자양시장점 3
 
0.5%
건대역점 2
 
0.3%
광진화양점 2
 
0.3%
화양점 2
 
0.3%
자양점 2
 
0.3%
건대본점 2
 
0.3%
Other values (23) 23
 
3.5%

카테고리1(cate1)
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
쇼핑/생활
396 
음식점/유흥시설
232 
병원/의료시설
 
9
레저/체육/공원
 
8
학교/교육관련
 
5
Other values (2)
 
3

Length

Max length8
Median length5
Mean length6.143951
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row쇼핑/생활
2nd row쇼핑/생활
3rd row음식점/유흥시설
4th row쇼핑/생활
5th row쇼핑/생활

Common Values

ValueCountFrequency (%)
쇼핑/생활 396
60.6%
음식점/유흥시설 232
35.5%
병원/의료시설 9
 
1.4%
레저/체육/공원 8
 
1.2%
학교/교육관련 5
 
0.8%
금융/은행 2
 
0.3%
운전편의 1
 
0.2%

Length

2023-12-13T09:35:32.036920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:32.124740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쇼핑/생활 396
60.6%
음식점/유흥시설 232
35.5%
병원/의료시설 9
 
1.4%
레저/체육/공원 8
 
1.2%
학교/교육관련 5
 
0.8%
금융/은행 2
 
0.3%
운전편의 1
 
0.2%

카테고리2(cate2)
Categorical

Distinct27
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
식료품/주류매장
226 
한식
155 
기타매장
87 
의류/신발매장
42 
패스트푸드점
 
22
Other values (22)
121 

Length

Max length14
Median length9
Mean length5.5620214
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row의류/신발매장
2nd row식료품/주류매장
3rd row한식
4th row식료품/주류매장
5th row식료품/주류매장

Common Values

ValueCountFrequency (%)
식료품/주류매장 226
34.6%
한식 155
23.7%
기타매장 87
 
13.3%
의류/신발매장 42
 
6.4%
패스트푸드점 22
 
3.4%
일식 21
 
3.2%
빵집/베이커리 14
 
2.1%
화장품/액세서리/보석/시계 13
 
2.0%
지역유흥시설 13
 
2.0%
지역의원 7
 
1.1%
Other values (17) 53
 
8.1%

Length

2023-12-13T09:35:32.218096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식료품/주류매장 226
34.6%
한식 155
23.7%
기타매장 87
 
13.3%
의류/신발매장 42
 
6.4%
패스트푸드점 22
 
3.4%
일식 21
 
3.2%
빵집/베이커리 14
 
2.1%
화장품/액세서리/보석/시계 13
 
2.0%
지역유흥시설 13
 
2.0%
지역의원 7
 
1.1%
Other values (17) 53
 
8.1%

카테고리3(cate3)
Text

Distinct58
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-13T09:35:32.387778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length4.1393568
Min length1

Characters and Unicode

Total characters2703
Distinct characters137
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)2.6%

Sample

1st row지역의류/가방/신발매장
2nd row정육점
3rd row분식
4th row정육점
5th row생선가게
ValueCountFrequency (%)
n 122
18.7%
지역직판장 101
15.5%
일반한식 45
 
6.9%
정육점 45
 
6.9%
지역의류/가방/신발매장 42
 
6.4%
반찬집 33
 
5.1%
떡집 26
 
4.0%
찌개/탕전문 23
 
3.5%
분식 21
 
3.2%
치킨 20
 
3.1%
Other values (48) 175
26.8%
2023-12-13T09:35:32.663286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 169
 
6.3%
지 169
 
6.3%
/ 161
 
6.0%
장 152
 
5.6%
N 122
 
4.5%
판 102
 
3.8%
직 101
 
3.7%
식 83
 
3.1%
반 80
 
3.0%
점 66
 
2.4%
Other values (127) 1498
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2388
88.3%
Other Punctuation 161
 
6.0%
Uppercase Letter 135
 
5.0%
Decimal Number 7
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 169
 
7.1%
지 169
 
7.1%
장 152
 
6.4%
판 102
 
4.3%
직 101
 
4.2%
식 83
 
3.5%
반 80
 
3.4%
점 66
 
2.8%
가 63
 
2.6%
집 63
 
2.6%
Other values (111) 1340
56.1%
Uppercase Letter
ValueCountFrequency (%)
N 122
90.4%
K 5
 
3.7%
S 5
 
3.7%
I 1
 
0.7%
B 1
 
0.7%
G 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
4 2
28.6%
2 2
28.6%
6 1
14.3%
3 1
14.3%
5 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2388
88.3%
Common 178
 
6.6%
Latin 137
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 169
 
7.1%
지 169
 
7.1%
장 152
 
6.4%
판 102
 
4.3%
직 101
 
4.2%
식 83
 
3.5%
반 80
 
3.4%
점 66
 
2.8%
가 63
 
2.6%
집 63
 
2.6%
Other values (111) 1340
56.1%
Common
ValueCountFrequency (%)
/ 161
90.4%
) 5
 
2.8%
( 5
 
2.8%
4 2
 
1.1%
2 2
 
1.1%
6 1
 
0.6%
3 1
 
0.6%
5 1
 
0.6%
Latin
ValueCountFrequency (%)
N 122
89.1%
K 5
 
3.6%
S 5
 
3.6%
I 1
 
0.7%
B 1
 
0.7%
G 1
 
0.7%
c 1
 
0.7%
p 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2388
88.3%
ASCII 315
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 169
 
7.1%
지 169
 
7.1%
장 152
 
6.4%
판 102
 
4.3%
직 101
 
4.2%
식 83
 
3.5%
반 80
 
3.4%
점 66
 
2.8%
가 63
 
2.6%
집 63
 
2.6%
Other values (111) 1340
56.1%
ASCII
ValueCountFrequency (%)
/ 161
51.1%
N 122
38.7%
) 5
 
1.6%
( 5
 
1.6%
K 5
 
1.6%
S 5
 
1.6%
4 2
 
0.6%
2 2
 
0.6%
6 1
 
0.3%
3 1
 
0.3%
Other values (6) 6
 
1.9%

카테고리ID(cate_id)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size5.2 KiB

시도 명칭(sido_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
서울특별시
653 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 653
100.0%

Length

2023-12-13T09:35:32.760729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:32.830849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 653
100.0%

시군구 명칭(sgg_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
광진구
653 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 653
100.0%

Length

2023-12-13T09:35:32.935797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:33.032411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 653
100.0%

법정 읍면동 명칭(bemd_nm)
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
자양동
328 
중곡동
217 
화양동
108 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자양동 328
50.2%
중곡동 217
33.2%
화양동 108
 
16.5%

Length

2023-12-13T09:35:33.111540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:33.205405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자양동 328
50.2%
중곡동 217
33.2%
화양동 108
 
16.5%

번지(beonji)
Text

Distinct225
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-13T09:35:33.450821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.2036753
Min length3

Characters and Unicode

Total characters3398
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

Unique58 ?
Unique (%)8.9%

Sample

1st row229-15
2nd row229-15
3rd row229-15
4th row229-15
5th row229-15
ValueCountFrequency (%)
10-1 26
 
4.0%
6-20 21
 
3.2%
229-15 18
 
2.8%
44-2 17
 
2.6%
82-1 13
 
2.0%
34-4 12
 
1.8%
843-11 9
 
1.4%
229-5 9
 
1.4%
579-1 8
 
1.2%
621 7
 
1.1%
Other values (215) 513
78.6%
2023-12-13T09:35:33.808636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 636
18.7%
1 496
14.6%
2 485
14.3%
3 339
10.0%
4 325
9.6%
5 277
8.2%
6 265
7.8%
0 167
 
4.9%
8 144
 
4.2%
7 143
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2762
81.3%
Dash Punctuation 636
 
18.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 496
18.0%
2 485
17.6%
3 339
12.3%
4 325
11.8%
5 277
10.0%
6 265
9.6%
0 167
 
6.0%
8 144
 
5.2%
7 143
 
5.2%
9 121
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3398
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 636
18.7%
1 496
14.6%
2 485
14.3%
3 339
10.0%
4 325
9.6%
5 277
8.2%
6 265
7.8%
0 167
 
4.9%
8 144
 
4.2%
7 143
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3398
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 636
18.7%
1 496
14.6%
2 485
14.3%
3 339
10.0%
4 325
9.6%
5 277
8.2%
6 265
7.8%
0 167
 
4.9%
8 144
 
4.2%
7 143
 
4.2%

도로명 이름(rd_nm)
Categorical

Distinct43
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
뚝섬로30길
69 
능동로47길
63 
자양로15길
52 
자양로13나길
51 
아차산로29길
49 
Other values (38)
369 

Length

Max length8
Median length7
Mean length6.9004594
Min length3

Unique

Unique8 ?
Unique (%)1.2%

Sample

1st row능동로47길
2nd row능동로47길
3rd row능동로47길
4th row능동로47길
5th row능동로47길

Common Values

ValueCountFrequency (%)
뚝섬로30길 69
 
10.6%
능동로47길 63
 
9.6%
자양로15길 52
 
8.0%
자양로13나길 51
 
7.8%
아차산로29길 49
 
7.5%
동일로10길 43
 
6.6%
긴고랑로9길 38
 
5.8%
동일로24길 25
 
3.8%
능동로13길 24
 
3.7%
아차산로30길 21
 
3.2%
Other values (33) 218
33.4%

Length

2023-12-13T09:35:33.935284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
뚝섬로30길 69
 
10.6%
능동로47길 63
 
9.6%
자양로15길 52
 
8.0%
아차산로29길 52
 
8.0%
자양로13나길 51
 
7.8%
동일로10길 43
 
6.6%
긴고랑로9길 38
 
5.8%
동일로24길 29
 
4.4%
능동로13길 26
 
4.0%
뚝섬로 25
 
3.8%
Other values (26) 205
31.4%

건물 번호(bld_num)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size5.2 KiB

X좌표(latitude)
Real number (ℝ)

Distinct222
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07456
Minimum127.06253
Maximum127.08924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:34.031150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06253
5-th percentile127.06391
Q1127.06707
median127.07872
Q3127.08112
95-th percentile127.08862
Maximum127.08924
Range0.026713
Interquartile range (IQR)0.014049

Descriptive statistics

Standard deviation0.0078069177
Coefficient of variation (CV)6.1435723 × 10-5
Kurtosis-1.3905267
Mean127.07456
Median Absolute Deviation (MAD)0.009134
Skewness0.065680943
Sum82979.691
Variance6.0947964 × 10-5
MonotonicityNot monotonic
2023-12-13T09:35:34.139659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.069875 26
 
4.0%
127.06737 21
 
3.2%
127.081121 18
 
2.8%
127.064845 17
 
2.6%
127.089241 13
 
2.0%
127.069038 12
 
1.8%
127.081292 9
 
1.4%
127.064619 9
 
1.4%
127.081461 8
 
1.2%
127.08105 8
 
1.2%
Other values (212) 512
78.4%
ValueCountFrequency (%)
127.062528 1
 
0.2%
127.062573 2
0.3%
127.062777 2
0.3%
127.062788 2
0.3%
127.062901 1
 
0.2%
127.06298 3
0.5%
127.063093 1
 
0.2%
127.063183 4
0.6%
127.063319 4
0.6%
127.063387 1
 
0.2%
ValueCountFrequency (%)
127.089241 13
2.0%
127.089004 4
 
0.6%
127.088935 1
 
0.2%
127.088924 1
 
0.2%
127.08889 3
 
0.5%
127.088834 2
 
0.3%
127.088754 3
 
0.5%
127.088721 1
 
0.2%
127.088652 4
 
0.6%
127.088618 3
 
0.5%

Y좌표(longitude)
Real number (ℝ)

Distinct229
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.546342
Minimum37.53342
Maximum37.571513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:34.241344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.53342
5-th percentile37.533917
Q137.535023
median37.53898
Q337.563161
95-th percentile37.570673
Maximum37.571513
Range0.0380938
Interquartile range (IQR)0.0281379

Descriptive statistics

Standard deviation0.012997991
Coefficient of variation (CV)0.00034618529
Kurtosis-1.2032663
Mean37.546342
Median Absolute Deviation (MAD)0.00451
Skewness0.68168073
Sum24517.761
Variance0.00016894777
MonotonicityNot monotonic
2023-12-13T09:35:34.345434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5434904 26
 
4.0%
37.5388787 21
 
3.2%
37.5635845 18
 
2.8%
37.5364745 17
 
2.6%
37.557506 13
 
2.0%
37.5433377 12
 
1.8%
37.5372585 9
 
1.4%
37.5638997 9
 
1.4%
37.5708735 8
 
1.2%
37.5347719 7
 
1.1%
Other values (219) 513
78.6%
ValueCountFrequency (%)
37.5334196 3
0.5%
37.5335097 3
0.5%
37.5335287 1
 
0.2%
37.5335377 1
 
0.2%
37.5335906 3
0.5%
37.5336089 3
0.5%
37.533654 3
0.5%
37.5336628 4
0.6%
37.5337529 3
0.5%
37.5337532 4
0.6%
ValueCountFrequency (%)
37.5715134 1
 
0.2%
37.5714772 1
 
0.2%
37.5714591 5
0.8%
37.5714228 2
 
0.3%
37.5713327 2
 
0.3%
37.5712607 7
1.1%
37.5711165 1
 
0.2%
37.5709273 2
 
0.3%
37.5708735 8
1.2%
37.5707832 1
 
0.2%

우편번호(postal_code)
Real number (ℝ)

Distinct21
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5011.1271
Minimum4901
Maximum5085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:34.440413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile4902
Q14910
median5054
Q35077
95-th percentile5085
Maximum5085
Range184
Interquartile range (IQR)167

Descriptive statistics

Standard deviation71.065213
Coefficient of variation (CV)0.014181483
Kurtosis-1.4317896
Mean5011.1271
Median Absolute Deviation (MAD)31
Skewness-0.51396511
Sum3272266
Variance5050.2645
MonotonicityNot monotonic
2023-12-13T09:35:34.543046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4910 100
15.3%
5016 88
13.5%
5085 85
13.0%
5062 49
 
7.5%
5057 45
 
6.9%
4949 44
 
6.7%
4909 30
 
4.6%
5078 27
 
4.1%
5079 26
 
4.0%
5054 26
 
4.0%
Other values (11) 133
20.4%
ValueCountFrequency (%)
4901 18
 
2.8%
4902 25
 
3.8%
4909 30
 
4.6%
4910 100
15.3%
4949 44
6.7%
5016 88
13.5%
5018 19
 
2.9%
5019 1
 
0.2%
5054 26
 
4.0%
5057 45
6.9%
ValueCountFrequency (%)
5085 85
13.0%
5080 22
 
3.4%
5079 26
 
4.0%
5078 27
 
4.1%
5077 22
 
3.4%
5073 21
 
3.2%
5066 2
 
0.3%
5065 1
 
0.2%
5064 1
 
0.2%
5063 1
 
0.2%

전화번호(tel)
Text

Distinct432
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-13T09:35:34.754017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.7932619
Min length4

Characters and Unicode

Total characters6395
Distinct characters22
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

Unique424 ?
Unique (%)64.9%

Sample

1st row02-467-4861
2nd row02-467-9544
3rd row02-461-1594
4th row02-499-6659
5th row유선 전화 없음
ValueCountFrequency (%)
유선 163
 
16.6%
없음 163
 
16.6%
전화 163
 
16.6%
확인불가 53
 
5.4%
02-465-1822 3
 
0.3%
02-455-5345 2
 
0.2%
02-467-4713 2
 
0.2%
02-466-4456 2
 
0.2%
02-437-7686 2
 
0.2%
02-454-3424 2
 
0.2%
Other values (424) 424
43.3%
2023-12-13T09:35:35.074058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 872
13.6%
0 669
10.5%
4 660
10.3%
2 648
 
10.1%
6 457
 
7.1%
5 328
 
5.1%
326
 
5.1%
7 274
 
4.3%
9 264
 
4.1%
3 261
 
4.1%
Other values (12) 1636
25.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4007
62.7%
Other Letter 1190
 
18.6%
Dash Punctuation 872
 
13.6%
Space Separator 326
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 669
16.7%
4 660
16.5%
2 648
16.2%
6 457
11.4%
5 328
8.2%
7 274
6.8%
9 264
 
6.6%
3 261
 
6.5%
1 232
 
5.8%
8 214
 
5.3%
Other Letter
ValueCountFrequency (%)
선 163
13.7%
음 163
13.7%
없 163
13.7%
화 163
13.7%
전 163
13.7%
유 163
13.7%
불 53
 
4.5%
가 53
 
4.5%
인 53
 
4.5%
확 53
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 872
100.0%
Space Separator
ValueCountFrequency (%)
326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5205
81.4%
Hangul 1190
 
18.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 872
16.8%
0 669
12.9%
4 660
12.7%
2 648
12.4%
6 457
8.8%
5 328
 
6.3%
326
 
6.3%
7 274
 
5.3%
9 264
 
5.1%
3 261
 
5.0%
Other values (2) 446
8.6%
Hangul
ValueCountFrequency (%)
선 163
13.7%
음 163
13.7%
없 163
13.7%
화 163
13.7%
전 163
13.7%
유 163
13.7%
불 53
 
4.5%
가 53
 
4.5%
인 53
 
4.5%
확 53
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5205
81.4%
Hangul 1190
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 872
16.8%
0 669
12.9%
4 660
12.7%
2 648
12.4%
6 457
8.8%
5 328
 
6.3%
326
 
6.3%
7 274
 
5.3%
9 264
 
5.1%
3 261
 
5.0%
Other values (2) 446
8.6%
Hangul
ValueCountFrequency (%)
선 163
13.7%
음 163
13.7%
없 163
13.7%
화 163
13.7%
전 163
13.7%
유 163
13.7%
불 53
 
4.5%
가 53
 
4.5%
인 53
 
4.5%
확 53
 
4.5%

휴무일(closed_day)
Categorical

Distinct16
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
휴무없음
323 
일
164 
확인불가
39 
화
37 
월
 
28
Other values (11)
62 

Length

Max length5
Median length4
Mean length2.7641654
Min length1

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st row휴무없음
2nd row휴무없음
3rd row휴무없음
4th row수
5th row화

Common Values

ValueCountFrequency (%)
휴무없음 323
49.5%
일 164
25.1%
확인불가 39
 
6.0%
화 37
 
5.7%
월 28
 
4.3%
수 23
 
3.5%
토,일 11
 
1.7%
공휴일 10
 
1.5%
목 6
 
0.9%
월,화 4
 
0.6%
Other values (6) 8
 
1.2%

Length

2023-12-13T09:35:35.195361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무없음 323
49.4%
일 164
25.1%
확인불가 39
 
6.0%
화 37
 
5.7%
월 28
 
4.3%
수 23
 
3.5%
토,일 11
 
1.7%
공휴일 10
 
1.5%
목 7
 
1.1%
월,화 4
 
0.6%
Other values (6) 8
 
1.2%

평일 시작시간(weekday_start_time)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean889.66309
Minimum0
Maximum1800
Zeros54
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:35.309305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1800
median900
Q31030
95-th percentile1500
Maximum1800
Range1800
Interquartile range (IQR)230

Descriptive statistics

Standard deviation353.45995
Coefficient of variation (CV)0.39729641
Kurtosis1.6791477
Mean889.66309
Median Absolute Deviation (MAD)100
Skewness-0.76972871
Sum580950
Variance124933.94
MonotonicityNot monotonic
2023-12-13T09:35:35.420549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
900 133
20.4%
1000 111
17.0%
1100 58
8.9%
800 56
8.6%
0 54
8.3%
700 33
 
5.1%
1200 27
 
4.1%
600 25
 
3.8%
830 22
 
3.4%
930 21
 
3.2%
Other values (18) 113
17.3%
ValueCountFrequency (%)
0 54
8.3%
300 2
 
0.3%
400 4
 
0.6%
500 8
 
1.2%
530 2
 
0.3%
600 25
3.8%
630 1
 
0.2%
700 33
5.1%
730 9
 
1.4%
800 56
8.6%
ValueCountFrequency (%)
1800 5
 
0.8%
1730 1
 
0.2%
1700 7
 
1.1%
1600 10
 
1.5%
1500 11
1.7%
1400 10
 
1.5%
1300 14
2.1%
1230 3
 
0.5%
1200 27
4.1%
1130 14
2.1%

평일 종료시간(weekday_end_time)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1866.7764
Minimum0
Maximum2400
Zeros46
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:35.747736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11900
median2100
Q32200
95-th percentile2400
Maximum2400
Range2400
Interquartile range (IQR)300

Descriptive statistics

Standard deviation644.32937
Coefficient of variation (CV)0.34515615
Kurtosis3.787383
Mean1866.7764
Median Absolute Deviation (MAD)100
Skewness-2.2898535
Sum1219005
Variance415160.34
MonotonicityNot monotonic
2023-12-13T09:35:35.834301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2100 150
23.0%
2000 102
15.6%
2200 72
11.0%
1900 66
10.1%
0 46
 
7.0%
2300 42
 
6.4%
2400 41
 
6.3%
2030 38
 
5.8%
1930 15
 
2.3%
2130 14
 
2.1%
Other values (16) 67
10.3%
ValueCountFrequency (%)
0 46
7.0%
30 2
 
0.3%
100 5
 
0.8%
200 11
 
1.7%
300 5
 
0.8%
400 1
 
0.2%
900 1
 
0.2%
1400 2
 
0.3%
1500 1
 
0.2%
1700 3
 
0.5%
ValueCountFrequency (%)
2400 41
 
6.3%
2355 1
 
0.2%
2330 2
 
0.3%
2300 42
 
6.4%
2230 8
 
1.2%
2200 72
11.0%
2130 14
 
2.1%
2100 150
23.0%
2030 38
 
5.8%
2020 1
 
0.2%

토요일 시작시간(sat_start_time)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean878.39204
Minimum0
Maximum1800
Zeros61
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:35.919827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1800
median900
Q31030
95-th percentile1440
Maximum1800
Range1800
Interquartile range (IQR)230

Descriptive statistics

Standard deviation363.08159
Coefficient of variation (CV)0.41334799
Kurtosis1.4611601
Mean878.39204
Median Absolute Deviation (MAD)100
Skewness-0.78787448
Sum573590
Variance131828.24
MonotonicityNot monotonic
2023-12-13T09:35:36.019331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
900 133
20.4%
1000 112
17.2%
0 61
9.3%
1100 56
8.6%
800 56
8.6%
700 33
 
5.1%
1200 26
 
4.0%
600 23
 
3.5%
830 22
 
3.4%
930 20
 
3.1%
Other values (18) 111
17.0%
ValueCountFrequency (%)
0 61
9.3%
300 2
 
0.3%
400 4
 
0.6%
500 8
 
1.2%
530 2
 
0.3%
600 23
 
3.5%
630 1
 
0.2%
700 33
5.1%
730 9
 
1.4%
800 56
8.6%
ValueCountFrequency (%)
1800 5
 
0.8%
1730 1
 
0.2%
1700 7
 
1.1%
1600 9
 
1.4%
1500 11
1.7%
1400 10
 
1.5%
1300 14
2.1%
1230 2
 
0.3%
1200 26
4.0%
1130 14
2.1%

토요일 종료시간(sat_end_time)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1845
Minimum0
Maximum2400
Zeros52
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:36.132820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11900
median2030
Q32130
95-th percentile2400
Maximum2400
Range2400
Interquartile range (IQR)230

Descriptive statistics

Standard deviation666.19559
Coefficient of variation (CV)0.36108162
Kurtosis3.1612918
Mean1845
Median Absolute Deviation (MAD)130
Skewness-2.1579585
Sum1204785
Variance443816.56
MonotonicityNot monotonic
2023-12-13T09:35:36.221398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2100 148
22.7%
2000 103
15.8%
2200 69
10.6%
1900 66
10.1%
0 52
 
8.0%
2300 42
 
6.4%
2400 40
 
6.1%
2030 38
 
5.8%
1930 15
 
2.3%
2130 14
 
2.1%
Other values (17) 66
10.1%
ValueCountFrequency (%)
0 52
8.0%
30 2
 
0.3%
100 5
 
0.8%
200 10
 
1.5%
300 5
 
0.8%
400 1
 
0.2%
900 1
 
0.2%
1300 2
 
0.3%
1400 6
 
0.9%
1500 1
 
0.2%
ValueCountFrequency (%)
2400 40
 
6.1%
2355 1
 
0.2%
2330 2
 
0.3%
2300 42
 
6.4%
2230 8
 
1.2%
2200 69
10.6%
2130 14
 
2.1%
2100 148
22.7%
2030 38
 
5.8%
2020 1
 
0.2%

일요일 시작시간(sun_start_time)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean638.45329
Minimum0
Maximum1800
Zeros224
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:36.308168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median800
Q31000
95-th percentile1340
Maximum1800
Range1800
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation504.15229
Coefficient of variation (CV)0.78964632
Kurtosis-1.2201537
Mean638.45329
Median Absolute Deviation (MAD)300
Skewness-0.12548112
Sum416910
Variance254169.54
MonotonicityNot monotonic
2023-12-13T09:35:36.417872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 224
34.3%
900 91
13.9%
1000 74
 
11.3%
800 45
 
6.9%
1100 42
 
6.4%
1200 24
 
3.7%
600 20
 
3.1%
700 20
 
3.1%
830 16
 
2.5%
1300 13
 
2.0%
Other values (14) 84
 
12.9%
ValueCountFrequency (%)
0 224
34.3%
300 2
 
0.3%
400 3
 
0.5%
500 8
 
1.2%
600 20
 
3.1%
700 20
 
3.1%
730 9
 
1.4%
800 45
 
6.9%
820 1
 
0.2%
830 16
 
2.5%
ValueCountFrequency (%)
1800 4
 
0.6%
1700 7
 
1.1%
1600 6
 
0.9%
1500 7
 
1.1%
1400 9
 
1.4%
1300 13
 
2.0%
1230 1
 
0.2%
1200 24
3.7%
1130 9
 
1.4%
1100 42
6.4%

일요일 종료시간(sun_end_time)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1344.1118
Minimum0
Maximum2400
Zeros216
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:36.530766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2000
Q32100
95-th percentile2400
Maximum2400
Range2400
Interquartile range (IQR)2100

Descriptive statistics

Standard deviation1012.7952
Coefficient of variation (CV)0.75350518
Kurtosis-1.6642338
Mean1344.1118
Median Absolute Deviation (MAD)200
Skewness-0.52253495
Sum877705
Variance1025754.1
MonotonicityNot monotonic
2023-12-13T09:35:36.635317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 216
33.1%
2100 113
17.3%
2000 73
 
11.2%
2200 57
 
8.7%
2400 36
 
5.5%
1900 35
 
5.4%
2300 30
 
4.6%
2030 27
 
4.1%
2130 13
 
2.0%
1930 10
 
1.5%
Other values (15) 43
 
6.6%
ValueCountFrequency (%)
0 216
33.1%
30 2
 
0.3%
100 5
 
0.8%
200 9
 
1.4%
300 4
 
0.6%
400 1
 
0.2%
900 2
 
0.3%
1400 1
 
0.2%
1500 1
 
0.2%
1700 2
 
0.3%
ValueCountFrequency (%)
2400 36
 
5.5%
2355 1
 
0.2%
2330 2
 
0.3%
2300 30
 
4.6%
2230 6
 
0.9%
2200 57
8.7%
2130 13
 
2.0%
2100 113
17.3%
2030 27
 
4.1%
2020 1
 
0.2%

공휴일 시작시간(holiday_start_time)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean854.42573
Minimum0
Maximum1800
Zeros77
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:36.716212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1800
median900
Q31000
95-th percentile1400
Maximum1800
Range1800
Interquartile range (IQR)200

Descriptive statistics

Standard deviation386.03718
Coefficient of variation (CV)0.45180894
Kurtosis0.9250136
Mean854.42573
Median Absolute Deviation (MAD)100
Skewness-0.76704535
Sum557940
Variance149024.71
MonotonicityNot monotonic
2023-12-13T09:35:36.806271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
900 133
20.4%
1000 106
16.2%
0 77
11.8%
1100 57
8.7%
800 53
 
8.1%
700 33
 
5.1%
1200 26
 
4.0%
600 23
 
3.5%
830 20
 
3.1%
930 19
 
2.9%
Other values (18) 106
16.2%
ValueCountFrequency (%)
0 77
11.8%
300 2
 
0.3%
400 4
 
0.6%
500 8
 
1.2%
530 2
 
0.3%
600 23
 
3.5%
630 1
 
0.2%
700 33
5.1%
730 8
 
1.2%
800 53
8.1%
ValueCountFrequency (%)
1800 5
 
0.8%
1730 1
 
0.2%
1700 7
 
1.1%
1600 9
 
1.4%
1500 10
 
1.5%
1400 11
1.7%
1300 11
1.7%
1230 2
 
0.3%
1200 26
4.0%
1130 14
2.1%

공휴일 종료시간(holiday_end_time)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1790.3522
Minimum0
Maximum2400
Zeros71
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-13T09:35:36.911835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11900
median2030
Q32130
95-th percentile2400
Maximum2400
Range2400
Interquartile range (IQR)230

Descriptive statistics

Standard deviation728.73222
Coefficient of variation (CV)0.40703288
Kurtosis1.8616589
Mean1790.3522
Median Absolute Deviation (MAD)130
Skewness-1.8804495
Sum1169100
Variance531050.64
MonotonicityNot monotonic
2023-12-13T09:35:37.004499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2100 149
22.8%
2000 98
15.0%
0 71
10.9%
2200 66
10.1%
1900 64
9.8%
2300 41
 
6.3%
2030 38
 
5.8%
2400 37
 
5.7%
1930 15
 
2.3%
2130 13
 
2.0%
Other values (15) 61
9.3%
ValueCountFrequency (%)
0 71
10.9%
30 2
 
0.3%
100 5
 
0.8%
200 9
 
1.4%
300 5
 
0.8%
400 1
 
0.2%
900 1
 
0.2%
1400 3
 
0.5%
1500 1
 
0.2%
1700 4
 
0.6%
ValueCountFrequency (%)
2400 37
 
5.7%
2330 2
 
0.3%
2300 41
 
6.3%
2230 8
 
1.2%
2200 66
10.1%
2130 13
 
2.0%
2100 149
22.8%
2030 38
 
5.8%
2020 1
 
0.2%
2000 98
15.0%

신용카드 사용여부(creditcart_ny)
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
538 
불가
86 
정보없음
 
29

Length

Max length4
Median length2
Mean length2.0888208
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 538
82.4%
불가 86
 
13.2%
정보없음 29
 
4.4%

Length

2023-12-13T09:35:37.114478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:37.204711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 538
82.4%
불가 86
 
13.2%
정보없음 29
 
4.4%

카카오페이 사용 여부(kakaopay_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
불가
540 
가능
113 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불가 540
82.7%
가능 113
 
17.3%

Length

2023-12-13T09:35:37.280652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:37.352622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 540
82.7%
가능 113
 
17.3%

서울페이 사용 여부(seoulpay_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
346 
불가
307 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가능
2nd row가능
3rd row불가
4th row가능
5th row가능

Common Values

ValueCountFrequency (%)
가능 346
53.0%
불가 307
47.0%

Length

2023-12-13T09:35:37.427341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:37.504746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 346
53.0%
불가 307
47.0%

제로페이 사용여부(zeropay_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
424 
불가
229 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 424
64.9%
불가 229
35.1%

Length

2023-12-13T09:35:37.579937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:37.649562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 424
64.9%
불가 229
35.1%

상품권/선불형 지역화폐 사용 가능 여부(voucher_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
475 
불가
178 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 475
72.7%
불가 178
 
27.3%

Length

2023-12-13T09:35:37.726166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:37.799375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 475
72.7%
불가 178
 
27.3%

온누리상품권(onnuri)
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
지류, 모바일
344 
불가
184 
지류
125 

Length

Max length7
Median length7
Mean length4.6339969
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지류, 모바일
2nd row지류, 모바일
3rd row지류, 모바일
4th row지류, 모바일
5th row지류, 모바일

Common Values

ValueCountFrequency (%)
지류, 모바일 344
52.7%
불가 184
28.2%
지류 125
 
19.1%

Length

2023-12-13T09:35:37.878619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:37.953935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지류 469
47.0%
모바일 344
34.5%
불가 184
 
18.5%

서울사랑상품권(seoulsarang_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
불가
360 
가능
293 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가능
2nd row가능
3rd row불가
4th row가능
5th row가능

Common Values

ValueCountFrequency (%)
불가 360
55.1%
가능 293
44.9%

Length

2023-12-13T09:35:38.039819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:38.111606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 360
55.1%
가능 293
44.9%

광진사랑상품권(gwangjinsarang_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
327 
불가
326 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가능
2nd row가능
3rd row불가
4th row가능
5th row가능

Common Values

ValueCountFrequency (%)
가능 327
50.1%
불가 326
49.9%

Length

2023-12-13T09:35:38.198104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:38.279670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 327
50.1%
불가 326
49.9%

농수산상품권(agri_fish_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
불가
652 
가능
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
불가 652
99.8%
가능 1
 
0.2%

Length

2023-12-13T09:35:38.355848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:38.427457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 652
99.8%
가능 1
 
0.2%

키오스크 사용 여부(kiosk_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
없음
645 
있음
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 645
98.8%
있음 8
 
1.2%

Length

2023-12-13T09:35:38.504264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:38.573301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 645
98.8%
있음 8
 
1.2%

픽업 가능 여부(pickup_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
불가
349 
가능
304 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불가
2nd row가능
3rd row불가
4th row가능
5th row가능

Common Values

ValueCountFrequency (%)
불가 349
53.4%
가능 304
46.6%

Length

2023-12-13T09:35:38.649753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:38.721234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 349
53.4%
가능 304
46.6%

배달앱 사용 여부(delivery_app_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
542 
사용
111 

Length

Max length3
Median length3
Mean length2.8300153
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미사용
2nd row미사용
3rd row미사용
4th row사용
5th row미사용

Common Values

ValueCountFrequency (%)
미사용 542
83.0%
사용 111
 
17.0%

Length

2023-12-13T09:35:38.795739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:38.870309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 542
83.0%
사용 111
 
17.0%

배달_땡겨요(delivery_ddangyo_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
631 
사용
 
22

Length

Max length3
Median length3
Mean length2.9663093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 631
96.6%
사용 22
 
3.4%

Length

2023-12-13T09:35:38.950290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.026235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 631
96.6%
사용 22
 
3.4%

배달_배민(delivery_baemin_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
600 
사용
 
53

Length

Max length3
Median length3
Mean length2.9188361
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 600
91.9%
사용 53
 
8.1%

Length

2023-12-13T09:35:39.108500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.181365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 600
91.9%
사용 53
 
8.1%

배달_요기요(delivery_yogiyo_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
624 
사용
 
29

Length

Max length3
Median length3
Mean length2.9555896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 624
95.6%
사용 29
 
4.4%

Length

2023-12-13T09:35:39.261046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.334309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 624
95.6%
사용 29
 
4.4%

배달_쿠팡이츠(delivery_coupangeats_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
567 
사용
86 

Length

Max length3
Median length3
Mean length2.8683002
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미사용
2nd row미사용
3rd row미사용
4th row사용
5th row미사용

Common Values

ValueCountFrequency (%)
미사용 567
86.8%
사용 86
 
13.2%

Length

2023-12-13T09:35:39.410172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.480977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 567
86.8%
사용 86
 
13.2%

배달_놀장(delivery_noljang_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
648 
사용
 
5

Length

Max length3
Median length3
Mean length2.992343
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 648
99.2%
사용 5
 
0.8%

Length

2023-12-13T09:35:39.557327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.630526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 648
99.2%
사용 5
 
0.8%

배달_네이버장보기(delivery_naver_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
650 
사용
 
3

Length

Max length3
Median length3
Mean length2.9954058
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 650
99.5%
사용 3
 
0.5%

Length

2023-12-13T09:35:39.714078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.795154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 650
99.5%
사용 3
 
0.5%

배달_빈손장보기(delivery_binson_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
649 
사용
 
4

Length

Max length3
Median length3
Mean length2.9938744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 649
99.4%
사용 4
 
0.6%

Length

2023-12-13T09:35:39.868901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:39.942207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 649
99.4%
사용 4
 
0.6%

배달_바로고(delivery_barogo_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
652 
사용
 
1

Length

Max length3
Median length3
Mean length2.9984686
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 652
99.8%
사용 1
 
0.2%

Length

2023-12-13T09:35:40.026209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:40.104761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 652
99.8%
사용 1
 
0.2%

배달_온라인장보기(delivery_online_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
652 
사용
 
1

Length

Max length3
Median length3
Mean length2.9984686
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 652
99.8%
사용 1
 
0.2%

Length

2023-12-13T09:35:40.186455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:40.258091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 652
99.8%
사용 1
 
0.2%

배달_고기나우(delivery_goginow_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
미사용
652 
사용
 
1

Length

Max length3
Median length3
Mean length2.9984686
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미사용 652
99.8%
사용 1
 
0.2%

Length

2023-12-13T09:35:40.332912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:40.408978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미사용 652
99.8%
사용 1
 
0.2%

주차장 무료사용 가능여부(pl_free_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
351 
불가
302 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 351
53.8%
불가 302
46.2%

Length

2023-12-13T09:35:40.501439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:40.592726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 351
53.8%
불가 302
46.2%

휠체어 출입 가능 여부(wheelchair_ny)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
494 
불가
159 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 494
75.7%
불가 159
 
24.3%

Length

2023-12-13T09:35:40.679214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:40.750408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 494
75.7%
불가 159
 
24.3%

시각장애인 안내견 동반 가능 여부(blind_guidedog_ny)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
가능
624 
불가
 
29

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 624
95.6%
불가 29
 
4.4%

Length

2023-12-13T09:35:40.828195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:40.918532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 624
95.6%
불가 29
 
4.4%

최종작성일(final_end_dt)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
44834
624 
44833
 
29

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44834
2nd row44834
3rd row44834
4th row44834
5th row44834

Common Values

ValueCountFrequency (%)
44834 624
95.6%
44833 29
 
4.4%

Length

2023-12-13T09:35:41.230730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:41.299247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44834 624
95.6%
44833 29
 
4.4%

Sample

연번(no)시장별 연번(market_num)소속 시장명(market_nm)시장 유형(market_type)시장 도로명주소(market_rd_address)주차 가능 여부(parking_ny)주 주차장명(parking_nm)주 주차장 도로명주소(parking_rd_address)여성주차면 여부(wm_parking_ny)장애인 전용 주차면 여부(da_parking_ny)장애인 화장실 유무(da_toliet_ny)시설명(poi_nm)분점명(chain_poi_nm)카테고리1(cate1)카테고리2(cate2)카테고리3(cate3)카테고리ID(cate_id)시도 명칭(sido_nm)시군구 명칭(sgg_nm)법정 읍면동 명칭(bemd_nm)번지(beonji)도로명 이름(rd_nm)건물 번호(bld_num)X좌표(latitude)Y좌표(longitude)우편번호(postal_code)전화번호(tel)휴무일(closed_day)평일 시작시간(weekday_start_time)평일 종료시간(weekday_end_time)토요일 시작시간(sat_start_time)토요일 종료시간(sat_end_time)일요일 시작시간(sun_start_time)일요일 종료시간(sun_end_time)공휴일 시작시간(holiday_start_time)공휴일 종료시간(holiday_end_time)신용카드 사용여부(creditcart_ny)카카오페이 사용 여부(kakaopay_ny)서울페이 사용 여부(seoulpay_ny)제로페이 사용여부(zeropay_ny)상품권/선불형 지역화폐 사용 가능 여부(voucher_ny)온누리상품권(onnuri)서울사랑상품권(seoulsarang_ny)광진사랑상품권(gwangjinsarang_ny)농수산상품권(agri_fish_ny)키오스크 사용 여부(kiosk_ny)픽업 가능 여부(pickup_ny)배달앱 사용 여부(delivery_app_ny)배달_땡겨요(delivery_ddangyo_ny)배달_배민(delivery_baemin_ny)배달_요기요(delivery_yogiyo_ny)배달_쿠팡이츠(delivery_coupangeats_ny)배달_놀장(delivery_noljang_ny)배달_네이버장보기(delivery_naver_ny)배달_빈손장보기(delivery_binson_ny)배달_바로고(delivery_barogo_ny)배달_온라인장보기(delivery_online_ny)배달_고기나우(delivery_goginow_ny)주차장 무료사용 가능여부(pl_free_ny)휠체어 출입 가능 여부(wheelchair_ny)시각장애인 안내견 동반 가능 여부(blind_guidedog_ny)최종작성일(final_end_dt)
01광성(중곡제일 내 건물형)-1광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음BYC없음쇼핑/생활의류/신발매장지역의류/가방/신발매장91020서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-467-4861휴무없음9002130900213090021309002130가능불가가능가능가능지류, 모바일가능가능불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
12광성(중곡제일 내 건물형)-2광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음고기사랑없음쇼핑/생활식료품/주류매장정육점91208서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-467-9544휴무없음8002030800203080020308002030가능불가가능가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
23광성(중곡제일 내 건물형)-3광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음광성김밥없음음식점/유흥시설한식분식81017서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-461-1594휴무없음9002100900210090021009002100가능불가불가가능가능지류, 모바일불가불가불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
34광성(중곡제일 내 건물형)-4광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음광성축산없음쇼핑/생활식료품/주류매장정육점91208서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-499-6659수9002030900203090020309002030가능불가가능가능가능지류, 모바일가능가능불가없음가능사용미사용미사용미사용사용미사용미사용미사용미사용미사용미사용가능가능가능44834
45광성(중곡제일 내 건물형)-5광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음남해수산없음쇼핑/생활식료품/주류매장생선가게91209서울특별시광진구중곡동229-15능동로47길30127.08112137.5635844910유선 전화 없음화7002130700213070021307002130가능불가가능가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
56광성(중곡제일 내 건물형)-6광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음덕수건어물없음쇼핑/생활식료품/주류매장지역직판장91204서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-462-4648휴무없음7002100700210070021007002100가능가능불가가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능불가가능44834
67광성(중곡제일 내 건물형)-7광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음두부마을없음쇼핑/생활식료품/주류매장지역직판장91204서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-466-3211일40020004002000004002000가능불가가능가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
78광성(중곡제일 내 건물형)-8광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음먹자건어물없음쇼핑/생활식료품/주류매장지역직판장91204서울특별시광진구중곡동229-15능동로47길30127.08112137.5635844910확인불가휴무없음9302030930203093020309302030가능불가가능가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
89광성(중곡제일 내 건물형)-9광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음믿음을 주는 농산물없음쇼핑/생활식료품/주류매장지역직판장91204서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-466-0997휴무없음7302000730200073020007302000가능불가가능가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
910광성(중곡제일 내 건물형)-10광성(건물형,중곡제일 내)시장골목형 시장긴고랑로11길 14(중곡동)가능중곡시장주차장긴고랑로11길 14없음없음있음에센브르제과중곡제일시장점음식점/유흥시설빵집/베이커리N80800서울특별시광진구중곡동229-15능동로47길30127.08112137.563584491002-461-9007휴무없음10002400100024001000240010002400가능불가가능가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용가능가능가능44834
연번(no)시장별 연번(market_num)소속 시장명(market_nm)시장 유형(market_type)시장 도로명주소(market_rd_address)주차 가능 여부(parking_ny)주 주차장명(parking_nm)주 주차장 도로명주소(parking_rd_address)여성주차면 여부(wm_parking_ny)장애인 전용 주차면 여부(da_parking_ny)장애인 화장실 유무(da_toliet_ny)시설명(poi_nm)분점명(chain_poi_nm)카테고리1(cate1)카테고리2(cate2)카테고리3(cate3)카테고리ID(cate_id)시도 명칭(sido_nm)시군구 명칭(sgg_nm)법정 읍면동 명칭(bemd_nm)번지(beonji)도로명 이름(rd_nm)건물 번호(bld_num)X좌표(latitude)Y좌표(longitude)우편번호(postal_code)전화번호(tel)휴무일(closed_day)평일 시작시간(weekday_start_time)평일 종료시간(weekday_end_time)토요일 시작시간(sat_start_time)토요일 종료시간(sat_end_time)일요일 시작시간(sun_start_time)일요일 종료시간(sun_end_time)공휴일 시작시간(holiday_start_time)공휴일 종료시간(holiday_end_time)신용카드 사용여부(creditcart_ny)카카오페이 사용 여부(kakaopay_ny)서울페이 사용 여부(seoulpay_ny)제로페이 사용여부(zeropay_ny)상품권/선불형 지역화폐 사용 가능 여부(voucher_ny)온누리상품권(onnuri)서울사랑상품권(seoulsarang_ny)광진사랑상품권(gwangjinsarang_ny)농수산상품권(agri_fish_ny)키오스크 사용 여부(kiosk_ny)픽업 가능 여부(pickup_ny)배달앱 사용 여부(delivery_app_ny)배달_땡겨요(delivery_ddangyo_ny)배달_배민(delivery_baemin_ny)배달_요기요(delivery_yogiyo_ny)배달_쿠팡이츠(delivery_coupangeats_ny)배달_놀장(delivery_noljang_ny)배달_네이버장보기(delivery_naver_ny)배달_빈손장보기(delivery_binson_ny)배달_바로고(delivery_barogo_ny)배달_온라인장보기(delivery_online_ny)배달_고기나우(delivery_goginow_ny)주차장 무료사용 가능여부(pl_free_ny)휠체어 출입 가능 여부(wheelchair_ny)시각장애인 안내견 동반 가능 여부(blind_guidedog_ny)최종작성일(final_end_dt)
643644면곡시장-34면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음충남철물없음쇼핑/생활기타매장N91800서울특별시광진구중곡동566-3답십리로78길5127.08149237.5712614902확인불가휴무없음7002100700210070021007002100불가불가불가불가불가불가불가불가불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
644645면곡시장-35면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음풍성장터없음쇼핑/생활식료품/주류매장지역직판장91204서울특별시광진구중곡동566-1답십리로370127.08152637.5714234902확인불가휴무없음8302130830213083021308302130가능불가가능가능가능지류, 모바일가능가능불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
645646면곡시장-36면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음핑크뽑기방없음쇼핑/생활여가활용오락실/게임방92001서울특별시광진구중곡동580답십리로366127.08101737.5714774901유선 전화 없음휴무없음02400024000002400불가불가불가불가불가불가불가불가불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
646647면곡시장-37면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음한국축산없음쇼핑/생활식료품/주류매장정육점91208서울특별시광진구중곡동579-1면목로17길40127.0810537.570873490102-434-5539휴무없음10002100100021001000210010002100가능가능불가가능가능지류, 모바일가능가능불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
647648면곡시장-38면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음한양정육점없음쇼핑/생활식료품/주류매장정육점91208서울특별시광진구중곡동567-3답십리로78길15127.08141237.570783490202-2209-7700휴무없음8302100830210083021008302100가능불가불가불가가능지류, 모바일가능가능불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
648649면곡시장-39면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음한일상회없음쇼핑/생활식료품/주류매장지역슈퍼/마켓91201서울특별시광진구중곡동580-1답십리로368127.0812237.5714594901유선 전화 없음휴무없음8302100830210083021008302100가능가능가능가능가능지류, 모바일가능가능불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
649650면곡시장-40면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음헤어센스없음쇼핑/생활기타매장N91800서울특별시광진구중곡동568-6면목로17길30127.08151437.570666490202-439-6166일90021009002100009002100가능불가가능가능가능지류, 모바일불가불가불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
650651면곡시장-41면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음현미누룽지없음쇼핑/생활기타매장N91800서울특별시광진구중곡동566-5답십리로78길5127.08149237.571261490202-437-7686휴무없음8002030800203080020308002030가능불가불가불가가능지류, 모바일불가불가불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
651652면곡시장-42면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음홍이샘플없음쇼핑/생활기타매장세탁소/빨래방91800서울특별시광진구중곡동566-3답십리로78길5127.08149237.5712614902유선 전화 없음일90019009001900009001900불가불가불가불가불가불가불가불가불가없음불가미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능가능44834
652653면곡시장-43면곡시장골목형 상점가(미인정)답십리로 368(중곡동)가능중곡3동 공영주차장용마산로33길 25 지층없음없음없음황고집없음음식점/유흥시설한식일반한식81001서울특별시광진구중곡동566-1답십리로370127.08152637.571423490202-435-1900일15002300150023000015002300가능불가불가불가가능지류, 모바일불가불가불가없음가능미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용미사용불가가능불가44834