Overview

Dataset statistics

Number of variables35
Number of observations4659
Missing cells20229
Missing cells (%)12.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory298.0 B

Variable types

Numeric14
Text9
Categorical8
Unsupported1
DateTime2
Boolean1

Dataset

Description대구광역시 지역내 아동 급식 카드 1.가맹점 목록 2.소재지역 3.배달가능 4.음식점 분류 5.사업자상태 등 상세정보 제공
Author대구광역시
URLhttps://www.data.go.kr/data/15109950/fileData.do

Alerts

시도명 has constant value ""Constant
사업자상태 has constant value ""Constant
아침점심저녁구분 is highly imbalanced (58.7%)Imbalance
소재지도로명주소상세정보 has 3477 (74.6%) missing valuesMissing
소재지지번주소상세정보 has 3477 (74.6%) missing valuesMissing
종사업자번호 has 4659 (100.0%) missing valuesMissing
사업자상태변경일 has 3319 (71.2%) missing valuesMissing
프랜차이즈명 has 1519 (32.6%) missing valuesMissing
배달시작시각 has 1883 (40.4%) missing valuesMissing
배달종료시각 has 1883 (40.4%) missing valuesMissing
가맹점ID has unique valuesUnique
사업자번호 has unique valuesUnique
종사업자번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
평일운영시작시각 has 1615 (34.7%) zerosZeros
평일운영종료시각 has 1908 (41.0%) zerosZeros
토요일운영시작시각 has 1709 (36.7%) zerosZeros
토요일운영종료시각 has 1994 (42.8%) zerosZeros
공휴일운영시작시각 has 2054 (44.1%) zerosZeros
공휴일운영종료시각 has 2311 (49.6%) zerosZeros
배달시작시각 has 87 (1.9%) zerosZeros
배달종료시각 has 231 (5.0%) zerosZeros

Reproduction

Analysis started2023-12-12 16:18:28.360616
Analysis finished2023-12-12 16:18:30.518735
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점ID
Real number (ℝ)

UNIQUE 

Distinct4659
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22091575
Minimum22080004
Maximum22110039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:30.599465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22080004
5-th percentile22080275
Q122081276
median22090485
Q322101046
95-th percentile22102030
Maximum22110039
Range30035
Interquartile range (IQR)19770

Descriptive statistics

Standard deviation9500.341
Coefficient of variation (CV)0.00043004363
Kurtosis-1.788453
Mean22091575
Median Absolute Deviation (MAD)9892
Skewness-0.042029146
Sum1.0292465 × 1011
Variance90256479
MonotonicityNot monotonic
2023-12-13T01:18:30.730533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22110039 1
 
< 0.1%
22081660 1
 
< 0.1%
22081681 1
 
< 0.1%
22081682 1
 
< 0.1%
22081683 1
 
< 0.1%
22081684 1
 
< 0.1%
22081685 1
 
< 0.1%
22081686 1
 
< 0.1%
22081687 1
 
< 0.1%
22081688 1
 
< 0.1%
Other values (4649) 4649
99.8%
ValueCountFrequency (%)
22080004 1
< 0.1%
22080005 1
< 0.1%
22080006 1
< 0.1%
22080007 1
< 0.1%
22080008 1
< 0.1%
22080009 1
< 0.1%
22080010 1
< 0.1%
22080011 1
< 0.1%
22080012 1
< 0.1%
22080013 1
< 0.1%
ValueCountFrequency (%)
22110039 1
< 0.1%
22110038 1
< 0.1%
22110037 1
< 0.1%
22110036 1
< 0.1%
22110035 1
< 0.1%
22110034 1
< 0.1%
22110033 1
< 0.1%
22110032 1
< 0.1%
22110031 1
< 0.1%
22110030 1
< 0.1%

가맹점명
Text

Distinct4404
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
2023-12-13T01:18:30.985218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.6490663
Min length1

Characters and Unicode

Total characters40296
Distinct characters809
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4259 ?
Unique (%)91.4%

Sample

1st row불닭발땡초동대문엽기떡볶이성서계명대점
2nd row얌샘김밥 대구계명대점
3rd row행컵 (계명대점)
4th row이마트24대구사월역점
5th row수가성
ValueCountFrequency (%)
세븐일레븐 380
 
5.6%
이마트24 221
 
3.2%
gs25 201
 
2.9%
지에스(gs)25 151
 
2.2%
씨유(cu 131
 
1.9%
cu 118
 
1.7%
씨유 90
 
1.3%
미니스톱 39
 
0.6%
한솥도시락 23
 
0.3%
맘스터치 22
 
0.3%
Other values (4418) 5461
79.9%
2023-12-13T01:18:31.427362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2631
 
6.5%
2221
 
5.5%
대 1465
 
3.6%
구 1173
 
2.9%
이 866
 
2.1%
2 802
 
2.0%
븐 791
 
2.0%
( 563
 
1.4%
) 563
 
1.4%
밥 562
 
1.4%
Other values (799) 28659
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33170
82.3%
Space Separator 2221
 
5.5%
Uppercase Letter 1866
 
4.6%
Decimal Number 1745
 
4.3%
Open Punctuation 563
 
1.4%
Close Punctuation 563
 
1.4%
Lowercase Letter 100
 
0.2%
Other Punctuation 64
 
0.2%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2631
 
7.9%
대 1465
 
4.4%
구 1173
 
3.5%
이 866
 
2.6%
븐 791
 
2.4%
밥 562
 
1.7%
스 522
 
1.6%
지 490
 
1.5%
일 461
 
1.4%
성 458
 
1.4%
Other values (731) 23751
71.6%
Uppercase Letter
ValueCountFrequency (%)
S 543
29.1%
G 528
28.3%
C 324
17.4%
U 315
16.9%
O 22
 
1.2%
R 19
 
1.0%
D 12
 
0.6%
K 12
 
0.6%
H 10
 
0.5%
F 9
 
0.5%
Other values (16) 72
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 14
14.0%
o 13
13.0%
a 9
 
9.0%
n 7
 
7.0%
g 6
 
6.0%
d 6
 
6.0%
s 5
 
5.0%
h 5
 
5.0%
i 5
 
5.0%
k 4
 
4.0%
Other values (12) 26
26.0%
Decimal Number
ValueCountFrequency (%)
2 802
46.0%
5 556
31.9%
4 245
 
14.0%
1 39
 
2.2%
3 38
 
2.2%
0 35
 
2.0%
9 13
 
0.7%
8 7
 
0.4%
6 6
 
0.3%
7 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
& 50
78.1%
. 11
 
17.2%
! 2
 
3.1%
: 1
 
1.6%
Space Separator
ValueCountFrequency (%)
2221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 563
100.0%
Close Punctuation
ValueCountFrequency (%)
) 563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33170
82.3%
Common 5160
 
12.8%
Latin 1966
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2631
 
7.9%
대 1465
 
4.4%
구 1173
 
3.5%
이 866
 
2.6%
븐 791
 
2.4%
밥 562
 
1.7%
스 522
 
1.6%
지 490
 
1.5%
일 461
 
1.4%
성 458
 
1.4%
Other values (731) 23751
71.6%
Latin
ValueCountFrequency (%)
S 543
27.6%
G 528
26.9%
C 324
16.5%
U 315
16.0%
O 22
 
1.1%
R 19
 
1.0%
e 14
 
0.7%
o 13
 
0.7%
D 12
 
0.6%
K 12
 
0.6%
Other values (38) 164
 
8.3%
Common
ValueCountFrequency (%)
2221
43.0%
2 802
 
15.5%
( 563
 
10.9%
) 563
 
10.9%
5 556
 
10.8%
4 245
 
4.7%
& 50
 
1.0%
1 39
 
0.8%
3 38
 
0.7%
0 35
 
0.7%
Other values (10) 48
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33170
82.3%
ASCII 7126
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2631
 
7.9%
대 1465
 
4.4%
구 1173
 
3.5%
이 866
 
2.6%
븐 791
 
2.4%
밥 562
 
1.7%
스 522
 
1.6%
지 490
 
1.5%
일 461
 
1.4%
성 458
 
1.4%
Other values (731) 23751
71.6%
ASCII
ValueCountFrequency (%)
2221
31.2%
2 802
 
11.3%
( 563
 
7.9%
) 563
 
7.9%
5 556
 
7.8%
S 543
 
7.6%
G 528
 
7.4%
C 324
 
4.5%
U 315
 
4.4%
4 245
 
3.4%
Other values (58) 466
 
6.5%

가맹점유형코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
10
2975 
20
1681 
30
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row20
5th row10

Common Values

ValueCountFrequency (%)
10 2975
63.9%
20 1681
36.1%
30 3
 
0.1%

Length

2023-12-13T01:18:31.560520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:31.642819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 2975
63.9%
20 1681
36.1%
30 3
 
0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
대구
4659 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구 4659
100.0%

Length

2023-12-13T01:18:31.739073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:31.831813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구 4659
100.0%

시군구명
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
달서구
1070 
북구
883 
수성구
691 
동구
656 
달성군
476 
Other values (3)
883 

Length

Max length3
Median length2
Mean length2.480146
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row달서구
2nd row달서구
3rd row달서구
4th row수성구
5th row달서구

Common Values

ValueCountFrequency (%)
달서구 1070
23.0%
북구 883
19.0%
수성구 691
14.8%
동구 656
14.1%
달성군 476
10.2%
남구 364
 
7.8%
중구 260
 
5.6%
서구 259
 
5.6%

Length

2023-12-13T01:18:31.925921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:32.026476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구 1070
23.0%
북구 883
19.0%
수성구 691
14.8%
동구 656
14.1%
달성군 476
10.2%
남구 364
 
7.8%
중구 260
 
5.6%
서구 259
 
5.6%

시군구코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27272.222
Minimum27110
Maximum27710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:32.146007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27110
5-th percentile27110
Q127170
median27230
Q327290
95-th percentile27710
Maximum27710
Range600
Interquartile range (IQR)120

Descriptive statistics

Standard deviation157.91451
Coefficient of variation (CV)0.005790306
Kurtosis3.1874377
Mean27272.222
Median Absolute Deviation (MAD)60
Skewness2.0089922
Sum1.2706128 × 108
Variance24936.992
MonotonicityNot monotonic
2023-12-13T01:18:32.243902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
27290 1070
23.0%
27230 883
19.0%
27260 691
14.8%
27140 656
14.1%
27710 476
10.2%
27200 364
 
7.8%
27110 260
 
5.6%
27170 259
 
5.6%
ValueCountFrequency (%)
27110 260
 
5.6%
27140 656
14.1%
27170 259
 
5.6%
27200 364
 
7.8%
27230 883
19.0%
27260 691
14.8%
27290 1070
23.0%
27710 476
10.2%
ValueCountFrequency (%)
27710 476
10.2%
27290 1070
23.0%
27260 691
14.8%
27230 883
19.0%
27200 364
 
7.8%
27170 259
 
5.6%
27140 656
14.1%
27110 260
 
5.6%

소재지도로명주소
Text

Distinct4186
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
2023-12-13T01:18:32.620407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.4511698
Min length4

Characters and Unicode

Total characters39374
Distinct characters211
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

Unique3834 ?
Unique (%)82.3%

Sample

1st row이곡공원로 24
2nd row계대동문로3안길 22
3rd row계대동문로3안길 77
4th row달구벌대로 3303
5th row이곡공원로1길 54
ValueCountFrequency (%)
달구벌대로 134
 
1.4%
14 76
 
0.8%
8 74
 
0.8%
6 72
 
0.8%
10 71
 
0.8%
9 67
 
0.7%
5 63
 
0.7%
15 61
 
0.7%
12 57
 
0.6%
7 56
 
0.6%
Other values (2350) 8587
92.2%
2023-12-13T01:18:33.150631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4659
 
11.8%
로 4487
 
11.4%
1 2936
 
7.5%
길 2285
 
5.8%
2 2153
 
5.5%
3 1741
 
4.4%
4 1446
 
3.7%
5 1381
 
3.5%
6 1266
 
3.2%
7 1100
 
2.8%
Other values (201) 15920
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19197
48.8%
Decimal Number 14973
38.0%
Space Separator 4659
 
11.8%
Dash Punctuation 545
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4487
23.4%
길 2285
 
11.9%
대 980
 
5.1%
동 598
 
3.1%
구 473
 
2.5%
달 354
 
1.8%
서 336
 
1.8%
산 324
 
1.7%
중 287
 
1.5%
앙 280
 
1.5%
Other values (189) 8793
45.8%
Decimal Number
ValueCountFrequency (%)
1 2936
19.6%
2 2153
14.4%
3 1741
11.6%
4 1446
9.7%
5 1381
9.2%
6 1266
8.5%
7 1100
 
7.3%
0 1020
 
6.8%
9 986
 
6.6%
8 944
 
6.3%
Space Separator
ValueCountFrequency (%)
4659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20177
51.2%
Hangul 19197
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4487
23.4%
길 2285
 
11.9%
대 980
 
5.1%
동 598
 
3.1%
구 473
 
2.5%
달 354
 
1.8%
서 336
 
1.8%
산 324
 
1.7%
중 287
 
1.5%
앙 280
 
1.5%
Other values (189) 8793
45.8%
Common
ValueCountFrequency (%)
4659
23.1%
1 2936
14.6%
2 2153
10.7%
3 1741
 
8.6%
4 1446
 
7.2%
5 1381
 
6.8%
6 1266
 
6.3%
7 1100
 
5.5%
0 1020
 
5.1%
9 986
 
4.9%
Other values (2) 1489
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20177
51.2%
Hangul 19197
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4659
23.1%
1 2936
14.6%
2 2153
10.7%
3 1741
 
8.6%
4 1446
 
7.2%
5 1381
 
6.8%
6 1266
 
6.3%
7 1100
 
5.5%
0 1020
 
5.1%
9 986
 
4.9%
Other values (2) 1489
 
7.4%
Hangul
ValueCountFrequency (%)
로 4487
23.4%
길 2285
 
11.9%
대 980
 
5.1%
동 598
 
3.1%
구 473
 
2.5%
달 354
 
1.8%
서 336
 
1.8%
산 324
 
1.7%
중 287
 
1.5%
앙 280
 
1.5%
Other values (189) 8793
45.8%

소재지도로명주소상세정보
Text

MISSING 

Distinct928
Distinct (%)78.5%
Missing3477
Missing (%)74.6%
Memory size36.5 KiB
2023-12-13T01:18:33.482998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length9.7571912
Min length2

Characters and Unicode

Total characters11533
Distinct characters414
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique808 ?
Unique (%)68.4%

Sample

1st row세기빌딩
2nd row대구은행역
3rd row봄봄빌딩
4th row반월당 아너스 제네스타워 오피스텔
5th row이노빌딩 1층 107호
ValueCountFrequency (%)
1층 105
 
5.0%
101호 39
 
1.8%
상가 32
 
1.5%
102호 28
 
1.3%
상가동 21
 
1.0%
103호 20
 
0.9%
대명동 20
 
0.9%
104호 17
 
0.8%
105호 16
 
0.8%
106호 14
 
0.7%
Other values (1151) 1798
85.2%
2023-12-13T01:18:33.911489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
932
 
8.1%
1 801
 
6.9%
동 362
 
3.1%
0 340
 
2.9%
호 292
 
2.5%
2 286
 
2.5%
아 237
 
2.1%
트 232
 
2.0%
대 229
 
2.0%
파 208
 
1.8%
Other values (404) 7614
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7850
68.1%
Decimal Number 2101
 
18.2%
Space Separator 932
 
8.1%
Close Punctuation 165
 
1.4%
Open Punctuation 165
 
1.4%
Dash Punctuation 145
 
1.3%
Uppercase Letter 90
 
0.8%
Math Symbol 69
 
0.6%
Lowercase Letter 14
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 362
 
4.6%
호 292
 
3.7%
아 237
 
3.0%
트 232
 
3.0%
대 229
 
2.9%
파 208
 
2.6%
성 189
 
2.4%
스 182
 
2.3%
이 146
 
1.9%
지 144
 
1.8%
Other values (363) 5629
71.7%
Uppercase Letter
ValueCountFrequency (%)
T 13
14.4%
H 13
14.4%
L 9
10.0%
A 7
 
7.8%
E 6
 
6.7%
K 5
 
5.6%
R 5
 
5.6%
S 5
 
5.6%
D 4
 
4.4%
I 4
 
4.4%
Other values (9) 19
21.1%
Decimal Number
ValueCountFrequency (%)
1 801
38.1%
0 340
16.2%
2 286
 
13.6%
3 151
 
7.2%
4 140
 
6.7%
5 98
 
4.7%
6 87
 
4.1%
7 75
 
3.6%
8 64
 
3.0%
9 59
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
78.6%
h 1
 
7.1%
s 1
 
7.1%
d 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
+ 68
98.6%
~ 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7850
68.1%
Common 3579
31.0%
Latin 104
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 362
 
4.6%
호 292
 
3.7%
아 237
 
3.0%
트 232
 
3.0%
대 229
 
2.9%
파 208
 
2.6%
성 189
 
2.4%
스 182
 
2.3%
이 146
 
1.9%
지 144
 
1.8%
Other values (363) 5629
71.7%
Latin
ValueCountFrequency (%)
T 13
12.5%
H 13
12.5%
e 11
10.6%
L 9
 
8.7%
A 7
 
6.7%
E 6
 
5.8%
K 5
 
4.8%
R 5
 
4.8%
S 5
 
4.8%
D 4
 
3.8%
Other values (13) 26
25.0%
Common
ValueCountFrequency (%)
932
26.0%
1 801
22.4%
0 340
 
9.5%
2 286
 
8.0%
) 165
 
4.6%
( 165
 
4.6%
3 151
 
4.2%
- 145
 
4.1%
4 140
 
3.9%
5 98
 
2.7%
Other values (8) 356
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7850
68.1%
ASCII 3682
31.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
932
25.3%
1 801
21.8%
0 340
 
9.2%
2 286
 
7.8%
) 165
 
4.5%
( 165
 
4.5%
3 151
 
4.1%
- 145
 
3.9%
4 140
 
3.8%
5 98
 
2.7%
Other values (30) 459
12.5%
Hangul
ValueCountFrequency (%)
동 362
 
4.6%
호 292
 
3.7%
아 237
 
3.0%
트 232
 
3.0%
대 229
 
2.9%
파 208
 
2.6%
성 189
 
2.4%
스 182
 
2.3%
이 146
 
1.9%
지 144
 
1.8%
Other values (363) 5629
71.7%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct4193
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
2023-12-13T01:18:34.274407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length9.5782357
Min length4

Characters and Unicode

Total characters44625
Distinct characters140
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

Unique3845 ?
Unique (%)82.5%

Sample

1st row이곡동 1248
2nd row신당동 1697-20
3rd row신당동 1712-11
4th row사월동 419-1
5th row이곡동 135
ValueCountFrequency (%)
대명동 271
 
2.8%
범어동 143
 
1.5%
산격동 128
 
1.3%
상인동 127
 
1.3%
다사읍 119
 
1.2%
태전동 112
 
1.1%
신암동 104
 
1.1%
신당동 98
 
1.0%
신천동 98
 
1.0%
이곡동 89
 
0.9%
Other values (4055) 8505
86.8%
2023-12-13T01:18:34.742207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5135
 
11.5%
1 4579
 
10.3%
동 4307
 
9.7%
- 3652
 
8.2%
2 2478
 
5.6%
3 2131
 
4.8%
4 1855
 
4.2%
5 1808
 
4.1%
6 1556
 
3.5%
0 1537
 
3.4%
Other values (130) 15587
34.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20432
45.8%
Other Letter 15406
34.5%
Space Separator 5135
 
11.5%
Dash Punctuation 3652
 
8.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4307
28.0%
산 641
 
4.2%
리 621
 
4.0%
읍 469
 
3.0%
대 437
 
2.8%
신 430
 
2.8%
천 372
 
2.4%
가 344
 
2.2%
명 286
 
1.9%
현 277
 
1.8%
Other values (118) 7222
46.9%
Decimal Number
ValueCountFrequency (%)
1 4579
22.4%
2 2478
12.1%
3 2131
10.4%
4 1855
9.1%
5 1808
 
8.8%
6 1556
 
7.6%
0 1537
 
7.5%
7 1527
 
7.5%
9 1482
 
7.3%
8 1479
 
7.2%
Space Separator
ValueCountFrequency (%)
5135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3652
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29219
65.5%
Hangul 15406
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4307
28.0%
산 641
 
4.2%
리 621
 
4.0%
읍 469
 
3.0%
대 437
 
2.8%
신 430
 
2.8%
천 372
 
2.4%
가 344
 
2.2%
명 286
 
1.9%
현 277
 
1.8%
Other values (118) 7222
46.9%
Common
ValueCountFrequency (%)
5135
17.6%
1 4579
15.7%
- 3652
12.5%
2 2478
8.5%
3 2131
7.3%
4 1855
 
6.3%
5 1808
 
6.2%
6 1556
 
5.3%
0 1537
 
5.3%
7 1527
 
5.2%
Other values (2) 2961
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29219
65.5%
Hangul 15406
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5135
17.6%
1 4579
15.7%
- 3652
12.5%
2 2478
8.5%
3 2131
7.3%
4 1855
 
6.3%
5 1808
 
6.2%
6 1556
 
5.3%
0 1537
 
5.3%
7 1527
 
5.2%
Other values (2) 2961
10.1%
Hangul
ValueCountFrequency (%)
동 4307
28.0%
산 641
 
4.2%
리 621
 
4.0%
읍 469
 
3.0%
대 437
 
2.8%
신 430
 
2.8%
천 372
 
2.4%
가 344
 
2.2%
명 286
 
1.9%
현 277
 
1.8%
Other values (118) 7222
46.9%

소재지지번주소상세정보
Text

MISSING 

Distinct928
Distinct (%)78.5%
Missing3477
Missing (%)74.6%
Memory size36.5 KiB
2023-12-13T01:18:35.003587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length9.7571912
Min length2

Characters and Unicode

Total characters11533
Distinct characters414
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique808 ?
Unique (%)68.4%

Sample

1st row세기빌딩
2nd row대구은행역
3rd row봄봄빌딩
4th row반월당 아너스 제네스타워 오피스텔
5th row이노빌딩 1층 107호
ValueCountFrequency (%)
1층 105
 
5.0%
101호 39
 
1.8%
상가 32
 
1.5%
102호 28
 
1.3%
상가동 21
 
1.0%
103호 20
 
0.9%
대명동 20
 
0.9%
104호 17
 
0.8%
105호 16
 
0.8%
106호 14
 
0.7%
Other values (1151) 1798
85.2%
2023-12-13T01:18:35.439000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
932
 
8.1%
1 801
 
6.9%
동 362
 
3.1%
0 340
 
2.9%
호 292
 
2.5%
2 286
 
2.5%
아 237
 
2.1%
트 232
 
2.0%
대 229
 
2.0%
파 208
 
1.8%
Other values (404) 7614
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7850
68.1%
Decimal Number 2101
 
18.2%
Space Separator 932
 
8.1%
Close Punctuation 165
 
1.4%
Open Punctuation 165
 
1.4%
Dash Punctuation 145
 
1.3%
Uppercase Letter 90
 
0.8%
Math Symbol 69
 
0.6%
Lowercase Letter 14
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 362
 
4.6%
호 292
 
3.7%
아 237
 
3.0%
트 232
 
3.0%
대 229
 
2.9%
파 208
 
2.6%
성 189
 
2.4%
스 182
 
2.3%
이 146
 
1.9%
지 144
 
1.8%
Other values (363) 5629
71.7%
Uppercase Letter
ValueCountFrequency (%)
T 13
14.4%
H 13
14.4%
L 9
10.0%
A 7
 
7.8%
E 6
 
6.7%
K 5
 
5.6%
R 5
 
5.6%
S 5
 
5.6%
D 4
 
4.4%
I 4
 
4.4%
Other values (9) 19
21.1%
Decimal Number
ValueCountFrequency (%)
1 801
38.1%
0 340
16.2%
2 286
 
13.6%
3 151
 
7.2%
4 140
 
6.7%
5 98
 
4.7%
6 87
 
4.1%
7 75
 
3.6%
8 64
 
3.0%
9 59
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
78.6%
h 1
 
7.1%
s 1
 
7.1%
d 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
+ 68
98.6%
~ 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7850
68.1%
Common 3579
31.0%
Latin 104
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 362
 
4.6%
호 292
 
3.7%
아 237
 
3.0%
트 232
 
3.0%
대 229
 
2.9%
파 208
 
2.6%
성 189
 
2.4%
스 182
 
2.3%
이 146
 
1.9%
지 144
 
1.8%
Other values (363) 5629
71.7%
Latin
ValueCountFrequency (%)
T 13
12.5%
H 13
12.5%
e 11
10.6%
L 9
 
8.7%
A 7
 
6.7%
E 6
 
5.8%
K 5
 
4.8%
R 5
 
4.8%
S 5
 
4.8%
D 4
 
3.8%
Other values (13) 26
25.0%
Common
ValueCountFrequency (%)
932
26.0%
1 801
22.4%
0 340
 
9.5%
2 286
 
8.0%
) 165
 
4.6%
( 165
 
4.6%
3 151
 
4.2%
- 145
 
4.1%
4 140
 
3.9%
5 98
 
2.7%
Other values (8) 356
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7850
68.1%
ASCII 3682
31.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
932
25.3%
1 801
21.8%
0 340
 
9.2%
2 286
 
7.8%
) 165
 
4.5%
( 165
 
4.5%
3 151
 
4.1%
- 145
 
3.9%
4 140
 
3.8%
5 98
 
2.7%
Other values (30) 459
12.5%
Hangul
ValueCountFrequency (%)
동 362
 
4.6%
호 292
 
3.7%
아 237
 
3.0%
트 232
 
3.0%
대 229
 
2.9%
파 208
 
2.6%
성 189
 
2.4%
스 182
 
2.3%
이 146
 
1.9%
지 144
 
1.8%
Other values (363) 5629
71.7%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

Distinct4148
Distinct (%)89.3%
Missing12
Missing (%)0.3%
Memory size36.5 KiB
2023-12-13T01:18:35.720416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.945987
Min length9

Characters and Unicode

Total characters55513
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

Unique4123 ?
Unique (%)88.7%

Sample

1st row053-587-8591
2nd row053-587-3378
3rd row053-581-5233
4th row02-6916-1500
5th row053-582-3633
ValueCountFrequency (%)
1577-0711 161
 
3.5%
1577-8007 141
 
3.0%
1644-5425 102
 
2.2%
02-6916-1500 43
 
0.9%
1577-9621 37
 
0.8%
053-312-5006 2
 
< 0.1%
053-611-2702 2
 
< 0.1%
053-423-0775 2
 
< 0.1%
053-201-1666 2
 
< 0.1%
053-427-0711 2
 
< 0.1%
Other values (4138) 4153
89.4%
2023-12-13T01:18:36.199733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8851
15.9%
5 8345
15.0%
0 7584
13.7%
3 6985
12.6%
7 4216
7.6%
1 4053
7.3%
2 3624
6.5%
6 3453
 
6.2%
8 2842
 
5.1%
4 2800
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46662
84.1%
Dash Punctuation 8851
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8345
17.9%
0 7584
16.3%
3 6985
15.0%
7 4216
9.0%
1 4053
8.7%
2 3624
7.8%
6 3453
7.4%
8 2842
 
6.1%
4 2800
 
6.0%
9 2760
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 8851
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 55513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8851
15.9%
5 8345
15.0%
0 7584
13.7%
3 6985
12.6%
7 4216
7.6%
1 4053
7.3%
2 3624
6.5%
6 3453
 
6.2%
8 2842
 
5.1%
4 2800
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8851
15.9%
5 8345
15.0%
0 7584
13.7%
3 6985
12.6%
7 4216
7.6%
1 4053
7.3%
2 3624
6.5%
6 3453
 
6.2%
8 2842
 
5.1%
4 2800
 
5.0%

사업자번호
Real number (ℝ)

UNIQUE 

Distinct4659
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9542254 × 109
Minimum1.011351 × 109
Maximum8.9979002 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:36.376075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.011351 × 109
5-th percentile1.4901701 × 109
Q13.2988011 × 109
median5.0323844 × 109
Q36.4822008 × 109
95-th percentile8.5173004 × 109
Maximum8.9979002 × 109
Range7.9865492 × 109
Interquartile range (IQR)3.1833996 × 109

Descriptive statistics

Standard deviation2.1213449 × 109
Coefficient of variation (CV)0.42818901
Kurtosis-0.83862514
Mean4.9542254 × 109
Median Absolute Deviation (MAD)1.6082838 × 109
Skewness0.02072893
Sum2.3081736 × 1013
Variance4.5001041 × 1018
MonotonicityNot monotonic
2023-12-13T01:18:36.543468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1213992016 1
 
< 0.1%
7100701240 1
 
< 0.1%
7485900435 1
 
< 0.1%
5275100531 1
 
< 0.1%
3731900929 1
 
< 0.1%
4271301126 1
 
< 0.1%
3960202257 1
 
< 0.1%
4275800356 1
 
< 0.1%
5031591741 1
 
< 0.1%
3998701517 1
 
< 0.1%
Other values (4649) 4649
99.8%
ValueCountFrequency (%)
1011351025 1
< 0.1%
1011352489 1
< 0.1%
1011633746 1
< 0.1%
1012592368 1
< 0.1%
1013073439 1
< 0.1%
1013251894 1
< 0.1%
1013772555 1
< 0.1%
1014396655 1
< 0.1%
1015500429 1
< 0.1%
1015800298 1
< 0.1%
ValueCountFrequency (%)
8997900240 1
< 0.1%
8991900964 1
< 0.1%
8991001918 1
< 0.1%
8990901251 1
< 0.1%
8990700054 1
< 0.1%
8990102235 1
< 0.1%
8984400551 1
< 0.1%
8983700612 1
< 0.1%
8983600861 1
< 0.1%
8982901315 1
< 0.1%

종사업자번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4659
Missing (%)100.0%
Memory size41.1 KiB

대표자명
Text

Distinct3927
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
2023-12-13T01:18:37.197160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.0463619
Min length2

Characters and Unicode

Total characters14193
Distinct characters300
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

Unique3419 ?
Unique (%)73.4%

Sample

1st row이유근
2nd row박경진
3rd row최지영
4th row이태희
5th row최병기
ValueCountFrequency (%)
1명 29
 
0.6%
김정숙 10
 
0.2%
김미숙 9
 
0.2%
김경희 9
 
0.2%
이정희 8
 
0.2%
김미정 8
 
0.2%
김영희 7
 
0.1%
외 7
 
0.1%
김민수 6
 
0.1%
김성진 6
 
0.1%
Other values (3927) 4611
97.9%
2023-12-13T01:18:37.849746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 997
 
7.0%
이 734
 
5.2%
정 639
 
4.5%
영 440
 
3.1%
박 411
 
2.9%
희 344
 
2.4%
경 331
 
2.3%
현 301
 
2.1%
미 291
 
2.1%
숙 270
 
1.9%
Other values (290) 9435
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14006
98.7%
Uppercase Letter 95
 
0.7%
Space Separator 51
 
0.4%
Decimal Number 38
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 997
 
7.1%
이 734
 
5.2%
정 639
 
4.6%
영 440
 
3.1%
박 411
 
2.9%
희 344
 
2.5%
경 331
 
2.4%
현 301
 
2.1%
미 291
 
2.1%
숙 270
 
1.9%
Other values (265) 9248
66.0%
Uppercase Letter
ValueCountFrequency (%)
N 16
16.8%
I 15
15.8%
A 10
10.5%
H 9
9.5%
E 7
 
7.4%
G 5
 
5.3%
J 4
 
4.2%
M 4
 
4.2%
L 3
 
3.2%
U 3
 
3.2%
Other values (9) 19
20.0%
Decimal Number
ValueCountFrequency (%)
1 36
94.7%
2 2
 
5.3%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14006
98.7%
Latin 95
 
0.7%
Common 92
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 997
 
7.1%
이 734
 
5.2%
정 639
 
4.6%
영 440
 
3.1%
박 411
 
2.9%
희 344
 
2.5%
경 331
 
2.4%
현 301
 
2.1%
미 291
 
2.1%
숙 270
 
1.9%
Other values (265) 9248
66.0%
Latin
ValueCountFrequency (%)
N 16
16.8%
I 15
15.8%
A 10
10.5%
H 9
9.5%
E 7
 
7.4%
G 5
 
5.3%
J 4
 
4.2%
M 4
 
4.2%
L 3
 
3.2%
U 3
 
3.2%
Other values (9) 19
20.0%
Common
ValueCountFrequency (%)
51
55.4%
1 36
39.1%
2 2
 
2.2%
( 1
 
1.1%
) 1
 
1.1%
+ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14006
98.7%
ASCII 187
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 997
 
7.1%
이 734
 
5.2%
정 639
 
4.6%
영 440
 
3.1%
박 411
 
2.9%
희 344
 
2.5%
경 331
 
2.4%
현 301
 
2.1%
미 291
 
2.1%
숙 270
 
1.9%
Other values (265) 9248
66.0%
ASCII
ValueCountFrequency (%)
51
27.3%
1 36
19.3%
N 16
 
8.6%
I 15
 
8.0%
A 10
 
5.3%
H 9
 
4.8%
E 7
 
3.7%
G 5
 
2.7%
J 4
 
2.1%
M 4
 
2.1%
Other values (15) 30
16.0%

사업자상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
1
4659 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4659
100.0%

Length

2023-12-13T01:18:38.045050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:38.160165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4659
100.0%

사업자상태변경일
Date

MISSING 

Distinct65
Distinct (%)4.9%
Missing3319
Missing (%)71.2%
Memory size36.5 KiB
Minimum1996-12-28 00:00:00
Maximum2022-09-01 00:00:00
2023-12-13T01:18:38.280561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:18:38.488794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

프랜차이즈명
Text

MISSING 

Distinct616
Distinct (%)19.6%
Missing1519
Missing (%)32.6%
Memory size36.5 KiB
2023-12-13T01:18:38.760037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.5977707
Min length2

Characters and Unicode

Total characters14437
Distinct characters493
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

Unique393 ?
Unique (%)12.5%

Sample

1st row동대문엽기떡볶이
2nd row얌샘김밥
3rd row행컵
4th row이마트 24
5th row수가성
ValueCountFrequency (%)
gs25 539
 
15.8%
cu 471
 
13.8%
세븐일레븐 400
 
11.7%
이마트 233
 
6.8%
24 233
 
6.8%
미니스탑 39
 
1.1%
한솥도시락 33
 
1.0%
나드리김밥 33
 
1.0%
맘스터치 31
 
0.9%
신참떡볶이 29
 
0.8%
Other values (637) 1375
40.3%
2023-12-13T01:18:39.181511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
븐 800
 
5.5%
2 775
 
5.4%
이 579
 
4.0%
5 543
 
3.8%
G 539
 
3.7%
S 539
 
3.7%
C 472
 
3.3%
U 471
 
3.3%
일 421
 
2.9%
레 417
 
2.9%
Other values (483) 8881
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10471
72.5%
Uppercase Letter 2027
 
14.0%
Decimal Number 1638
 
11.3%
Space Separator 276
 
1.9%
Other Punctuation 20
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
븐 800
 
7.6%
이 579
 
5.5%
일 421
 
4.0%
레 417
 
4.0%
세 406
 
3.9%
밥 348
 
3.3%
마 344
 
3.3%
떡 283
 
2.7%
김 255
 
2.4%
트 247
 
2.4%
Other values (460) 6371
60.8%
Decimal Number
ValueCountFrequency (%)
2 775
47.3%
5 543
33.2%
4 242
 
14.8%
0 25
 
1.5%
3 18
 
1.1%
1 15
 
0.9%
9 11
 
0.7%
8 5
 
0.3%
6 3
 
0.2%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
G 539
26.6%
S 539
26.6%
C 472
23.3%
U 471
23.2%
B 4
 
0.2%
Q 1
 
< 0.1%
H 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
& 19
95.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10471
72.5%
Latin 2028
 
14.0%
Common 1938
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
븐 800
 
7.6%
이 579
 
5.5%
일 421
 
4.0%
레 417
 
4.0%
세 406
 
3.9%
밥 348
 
3.3%
마 344
 
3.3%
떡 283
 
2.7%
김 255
 
2.4%
트 247
 
2.4%
Other values (460) 6371
60.8%
Common
ValueCountFrequency (%)
2 775
40.0%
5 543
28.0%
276
 
14.2%
4 242
 
12.5%
0 25
 
1.3%
& 19
 
1.0%
3 18
 
0.9%
1 15
 
0.8%
9 11
 
0.6%
8 5
 
0.3%
Other values (5) 9
 
0.5%
Latin
ValueCountFrequency (%)
G 539
26.6%
S 539
26.6%
C 472
23.3%
U 471
23.2%
B 4
 
0.2%
Q 1
 
< 0.1%
H 1
 
< 0.1%
s 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10471
72.5%
ASCII 3966
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
븐 800
 
7.6%
이 579
 
5.5%
일 421
 
4.0%
레 417
 
4.0%
세 406
 
3.9%
밥 348
 
3.3%
마 344
 
3.3%
떡 283
 
2.7%
김 255
 
2.4%
트 247
 
2.4%
Other values (460) 6371
60.8%
ASCII
ValueCountFrequency (%)
2 775
19.5%
5 543
13.7%
G 539
13.6%
S 539
13.6%
C 472
11.9%
U 471
11.9%
276
 
7.0%
4 242
 
6.1%
0 25
 
0.6%
& 19
 
0.5%
Other values (13) 65
 
1.6%

일반직영
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
1
3098 
3
1519 
2
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3098
66.5%
3 1519
32.6%
2 42
 
0.9%

Length

2023-12-13T01:18:39.319369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:39.436279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3098
66.5%
3 1519
32.6%
2 42
 
0.9%

음식점분류
Text

Distinct54
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
2023-12-13T01:18:39.619306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.1648422
Min length2

Characters and Unicode

Total characters10086
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.3%

Sample

1st row12
2nd row12+13+18
3rd row12+13+18
4th row23
5th row11
ValueCountFrequency (%)
23 1693
36.3%
13 1305
28.0%
12 877
18.8%
11 473
 
10.2%
20+23 34
 
0.7%
17+23 26
 
0.6%
13+19 23
 
0.5%
18 18
 
0.4%
13+14 15
 
0.3%
22+23 15
 
0.3%
Other values (44) 180
 
3.9%
2023-12-13T01:18:39.993696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3503
34.7%
3 3220
31.9%
2 2868
28.4%
+ 256
 
2.5%
0 70
 
0.7%
7 55
 
0.5%
9 50
 
0.5%
8 31
 
0.3%
4 18
 
0.2%
5 13
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9830
97.5%
Math Symbol 256
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3503
35.6%
3 3220
32.8%
2 2868
29.2%
0 70
 
0.7%
7 55
 
0.6%
9 50
 
0.5%
8 31
 
0.3%
4 18
 
0.2%
5 13
 
0.1%
6 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10086
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3503
34.7%
3 3220
31.9%
2 2868
28.4%
+ 256
 
2.5%
0 70
 
0.7%
7 55
 
0.5%
9 50
 
0.5%
8 31
 
0.3%
4 18
 
0.2%
5 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10086
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3503
34.7%
3 3220
31.9%
2 2868
28.4%
+ 256
 
2.5%
0 70
 
0.7%
7 55
 
0.5%
9 50
 
0.5%
8 31
 
0.3%
4 18
 
0.2%
5 13
 
0.1%

시설정보구분
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.534879
Minimum10
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:40.105291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30
Q130
median30
Q360
95-th percentile60
Maximum70
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.106343
Coefficient of variation (CV)0.35515191
Kurtosis-1.7542114
Mean42.534879
Median Absolute Deviation (MAD)0
Skewness0.22763435
Sum198170
Variance228.20161
MonotonicityNot monotonic
2023-12-13T01:18:40.228792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
30 2621
56.3%
60 1953
41.9%
10 48
 
1.0%
50 33
 
0.7%
70 3
 
0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
10 48
 
1.0%
20 1
 
< 0.1%
30 2621
56.3%
50 33
 
0.7%
60 1953
41.9%
70 3
 
0.1%
ValueCountFrequency (%)
70 3
 
0.1%
60 1953
41.9%
50 33
 
0.7%
30 2621
56.3%
20 1
 
< 0.1%
10 48
 
1.0%

위도
Real number (ℝ)

Distinct4198
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.855269
Minimum35.63289
Maximum35.990564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:40.389951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.63289
5-th percentile35.772717
Q135.838184
median35.85857
Q335.880468
95-th percentile35.935621
Maximum35.990564
Range0.35767441
Interquartile range (IQR)0.04228386

Descriptive statistics

Standard deviation0.051133567
Coefficient of variation (CV)0.0014261103
Kurtosis3.8409839
Mean35.855269
Median Absolute Deviation (MAD)0.02089145
Skewness-1.4001317
Sum167049.7
Variance0.0026146417
MonotonicityNot monotonic
2023-12-13T01:18:40.573066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87724196 8
 
0.2%
35.87544316 5
 
0.1%
35.86287963 5
 
0.1%
35.88653071 5
 
0.1%
35.84413723 5
 
0.1%
35.69476056 5
 
0.1%
35.84933926 5
 
0.1%
35.89066202 4
 
0.1%
35.87794067 4
 
0.1%
35.88902655 4
 
0.1%
Other values (4188) 4609
98.9%
ValueCountFrequency (%)
35.63289005 1
< 0.1%
35.63297054 1
< 0.1%
35.63346262 1
< 0.1%
35.64939919 1
< 0.1%
35.65087156 1
< 0.1%
35.65274205 1
< 0.1%
35.65313411 1
< 0.1%
35.65315543 1
< 0.1%
35.65331975 1
< 0.1%
35.65367364 1
< 0.1%
ValueCountFrequency (%)
35.99056446 1
< 0.1%
35.98857741 1
< 0.1%
35.98832471 1
< 0.1%
35.97656604 1
< 0.1%
35.95758921 1
< 0.1%
35.95614602 1
< 0.1%
35.95593044 1
< 0.1%
35.95429934 1
< 0.1%
35.95412547 2
< 0.1%
35.95394113 1
< 0.1%

경도
Real number (ℝ)

Distinct4193
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57614
Minimum128.40134
Maximum128.75257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:40.743898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.40134
5-th percentile128.45875
Q1128.53474
median128.57569
Q3128.61933
95-th percentile128.70265
Maximum128.75257
Range0.3512305
Interquartile range (IQR)0.0845947

Descriptive statistics

Standard deviation0.06638603
Coefficient of variation (CV)0.00051631685
Kurtosis-0.056644702
Mean128.57614
Median Absolute Deviation (MAD)0.0423182
Skewness0.031933458
Sum599036.25
Variance0.004407105
MonotonicityNot monotonic
2023-12-13T01:18:40.967155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7321533 8
 
0.2%
128.576747 5
 
0.1%
128.5339189 5
 
0.1%
128.4422285 5
 
0.1%
128.5327062 5
 
0.1%
128.634856 5
 
0.1%
128.5875323 5
 
0.1%
128.5164397 4
 
0.1%
128.6103517 4
 
0.1%
128.6937408 4
 
0.1%
Other values (4183) 4609
98.9%
ValueCountFrequency (%)
128.4013417 1
 
< 0.1%
128.4013752 1
 
< 0.1%
128.4081139 1
 
< 0.1%
128.4085708 4
0.1%
128.4094436 1
 
< 0.1%
128.4111589 1
 
< 0.1%
128.4132046 1
 
< 0.1%
128.4137151 1
 
< 0.1%
128.4147624 1
 
< 0.1%
128.4147831 1
 
< 0.1%
ValueCountFrequency (%)
128.7525722 1
 
< 0.1%
128.7522539 1
 
< 0.1%
128.7507109 1
 
< 0.1%
128.7501274 1
 
< 0.1%
128.749591 1
 
< 0.1%
128.7493723 3
0.1%
128.7493327 1
 
< 0.1%
128.7489307 1
 
< 0.1%
128.745519 1
 
< 0.1%
128.7360162 1
 
< 0.1%

평일운영시작시각
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672.4619
Minimum0
Maximum2300
Zeros1615
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:41.150212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median930
Q31100
95-th percentile1200
Maximum2300
Range2300
Interquartile range (IQR)1100

Descriptive statistics

Standard deviation520.3606
Coefficient of variation (CV)0.77381425
Kurtosis-1.3473101
Mean672.4619
Median Absolute Deviation (MAD)200
Skewness-0.2678444
Sum3133000
Variance270775.15
MonotonicityNot monotonic
2023-12-13T01:18:41.308877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1615
34.7%
1100 932
20.0%
1000 497
 
10.7%
1030 282
 
6.1%
900 204
 
4.4%
1130 182
 
3.9%
700 149
 
3.2%
600 146
 
3.1%
800 114
 
2.4%
1200 78
 
1.7%
Other values (50) 460
 
9.9%
ValueCountFrequency (%)
0 1615
34.7%
200 1
 
< 0.1%
300 1
 
< 0.1%
400 1
 
< 0.1%
500 8
 
0.2%
530 4
 
0.1%
550 1
 
< 0.1%
600 146
 
3.1%
630 10
 
0.2%
700 149
 
3.2%
ValueCountFrequency (%)
2300 1
 
< 0.1%
2200 1
 
< 0.1%
2100 1
 
< 0.1%
1900 2
 
< 0.1%
1800 8
 
0.2%
1750 1
 
< 0.1%
1730 5
 
0.1%
1710 2
 
< 0.1%
1700 59
1.3%
1650 1
 
< 0.1%

평일운영종료시각
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1084.3254
Minimum0
Maximum2359
Zeros1908
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:41.475126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1600
Q32100
95-th percentile2300
Maximum2359
Range2359
Interquartile range (IQR)2100

Descriptive statistics

Standard deviation1050.0755
Coefficient of variation (CV)0.96841369
Kurtosis-1.9634089
Mean1084.3254
Median Absolute Deviation (MAD)750
Skewness-0.0014962042
Sum5051872
Variance1102658.7
MonotonicityNot monotonic
2023-12-13T01:18:41.624954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1908
41.0%
2100 526
 
11.3%
2200 488
 
10.5%
2000 340
 
7.3%
2300 273
 
5.9%
2030 203
 
4.4%
100 163
 
3.5%
2130 118
 
2.5%
2230 90
 
1.9%
200 90
 
1.9%
Other values (62) 460
 
9.9%
ValueCountFrequency (%)
0 1908
41.0%
30 15
 
0.3%
40 2
 
< 0.1%
50 2
 
< 0.1%
55 1
 
< 0.1%
100 163
 
3.5%
110 1
 
< 0.1%
120 1
 
< 0.1%
130 21
 
0.5%
140 3
 
0.1%
ValueCountFrequency (%)
2359 3
 
0.1%
2350 23
 
0.5%
2340 8
 
0.2%
2330 40
 
0.9%
2320 1
 
< 0.1%
2310 1
 
< 0.1%
2300 273
5.9%
2250 7
 
0.2%
2240 3
 
0.1%
2230 90
 
1.9%

토요일운영시작시각
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean650.44087
Minimum0
Maximum2300
Zeros1709
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:41.760152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median900
Q31100
95-th percentile1200
Maximum2300
Range2300
Interquartile range (IQR)1100

Descriptive statistics

Standard deviation524.5624
Coefficient of variation (CV)0.80647208
Kurtosis-1.4172056
Mean650.44087
Median Absolute Deviation (MAD)230
Skewness-0.19652479
Sum3030404
Variance275165.71
MonotonicityNot monotonic
2023-12-13T01:18:41.936119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1709
36.7%
1100 899
19.3%
1000 467
 
10.0%
1030 264
 
5.7%
900 202
 
4.3%
1130 180
 
3.9%
700 149
 
3.2%
600 145
 
3.1%
800 116
 
2.5%
1200 75
 
1.6%
Other values (54) 453
 
9.7%
ValueCountFrequency (%)
0 1709
36.7%
200 1
 
< 0.1%
300 1
 
< 0.1%
400 1
 
< 0.1%
500 8
 
0.2%
530 4
 
0.1%
550 1
 
< 0.1%
600 145
 
3.1%
630 9
 
0.2%
700 149
 
3.2%
ValueCountFrequency (%)
2300 1
 
< 0.1%
2200 1
 
< 0.1%
2100 1
 
< 0.1%
1900 1
 
< 0.1%
1800 5
 
0.1%
1750 1
 
< 0.1%
1730 6
 
0.1%
1710 2
 
< 0.1%
1700 60
1.3%
1650 1
 
< 0.1%

토요일운영종료시각
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1041.8978
Minimum0
Maximum2359
Zeros1994
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:42.081857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q32100
95-th percentile2300
Maximum2359
Range2359
Interquartile range (IQR)2100

Descriptive statistics

Standard deviation1047.3188
Coefficient of variation (CV)1.0052029
Kurtosis-1.9524827
Mean1041.8978
Median Absolute Deviation (MAD)300
Skewness0.07655668
Sum4854202
Variance1096876.6
MonotonicityNot monotonic
2023-12-13T01:18:42.214602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1994
42.8%
2100 493
 
10.6%
2200 478
 
10.3%
2000 308
 
6.6%
2300 267
 
5.7%
2030 180
 
3.9%
100 161
 
3.5%
2130 115
 
2.5%
200 91
 
2.0%
2230 84
 
1.8%
Other values (71) 488
 
10.5%
ValueCountFrequency (%)
0 1994
42.8%
30 16
 
0.3%
40 2
 
< 0.1%
50 2
 
< 0.1%
55 1
 
< 0.1%
100 161
 
3.5%
110 1
 
< 0.1%
120 1
 
< 0.1%
130 20
 
0.4%
140 3
 
0.1%
ValueCountFrequency (%)
2359 3
 
0.1%
2350 22
 
0.5%
2340 8
 
0.2%
2330 37
 
0.8%
2320 2
 
< 0.1%
2300 267
5.7%
2250 7
 
0.2%
2240 3
 
0.1%
2230 84
 
1.8%
2220 3
 
0.1%

공휴일운영시작시각
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean572.26808
Minimum0
Maximum2300
Zeros2054
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:42.338209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median700
Q31100
95-th percentile1200
Maximum2300
Range2300
Interquartile range (IQR)1100

Descriptive statistics

Standard deviation534.79532
Coefficient of variation (CV)0.93451886
Kurtosis-1.5233243
Mean572.26808
Median Absolute Deviation (MAD)430
Skewness0.069919325
Sum2666197
Variance286006.03
MonotonicityNot monotonic
2023-12-13T01:18:42.461600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2054
44.1%
1100 779
 
16.7%
1000 415
 
8.9%
1030 229
 
4.9%
900 169
 
3.6%
1130 150
 
3.2%
600 144
 
3.1%
700 142
 
3.0%
800 105
 
2.3%
1200 75
 
1.6%
Other values (49) 397
 
8.5%
ValueCountFrequency (%)
0 2054
44.1%
100 1
 
< 0.1%
200 1
 
< 0.1%
400 1
 
< 0.1%
500 9
 
0.2%
530 4
 
0.1%
600 144
 
3.1%
630 8
 
0.2%
700 142
 
3.0%
710 1
 
< 0.1%
ValueCountFrequency (%)
2300 1
 
< 0.1%
2230 1
 
< 0.1%
2200 1
 
< 0.1%
2100 1
 
< 0.1%
1800 7
 
0.2%
1750 1
 
< 0.1%
1730 3
 
0.1%
1710 2
 
< 0.1%
1700 55
1.2%
1650 1
 
< 0.1%

공휴일운영종료시각
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean916.83172
Minimum0
Maximum2359
Zeros2311
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:42.612117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median55
Q32100
95-th percentile2300
Maximum2359
Range2359
Interquartile range (IQR)2100

Descriptive statistics

Standard deviation1041.8916
Coefficient of variation (CV)1.1364044
Kurtosis-1.8609724
Mean916.83172
Median Absolute Deviation (MAD)55
Skewness0.31716915
Sum4271519
Variance1085538
MonotonicityNot monotonic
2023-12-13T01:18:42.734201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2311
49.6%
2100 430
 
9.2%
2200 429
 
9.2%
2300 257
 
5.5%
2000 246
 
5.3%
100 152
 
3.3%
2030 148
 
3.2%
2130 106
 
2.3%
2230 81
 
1.7%
200 79
 
1.7%
Other values (67) 420
 
9.0%
ValueCountFrequency (%)
0 2311
49.6%
30 16
 
0.3%
40 2
 
< 0.1%
55 1
 
< 0.1%
100 152
 
3.3%
110 1
 
< 0.1%
120 1
 
< 0.1%
130 14
 
0.3%
140 3
 
0.1%
150 7
 
0.2%
ValueCountFrequency (%)
2359 3
 
0.1%
2350 19
 
0.4%
2340 9
 
0.2%
2330 36
 
0.8%
2320 1
 
< 0.1%
2300 257
5.5%
2250 7
 
0.2%
2240 1
 
< 0.1%
2230 81
 
1.7%
2220 4
 
0.1%

배달시작시각
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)2.4%
Missing1883
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean1042.464
Minimum0
Maximum2300
Zeros87
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:42.866072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700
Q11000
median1030
Q31100
95-th percentile1600
Maximum2300
Range2300
Interquartile range (IQR)100

Descriptive statistics

Standard deviation272.0462
Coefficient of variation (CV)0.2609646
Kurtosis6.3396292
Mean1042.464
Median Absolute Deviation (MAD)70
Skewness-1.0081831
Sum2893880
Variance74009.134
MonotonicityNot monotonic
2023-12-13T01:18:43.002762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1100 785
16.8%
1000 453
 
9.7%
1030 335
 
7.2%
900 159
 
3.4%
1130 146
 
3.1%
0 87
 
1.9%
930 78
 
1.7%
1200 77
 
1.7%
800 67
 
1.4%
1700 64
 
1.4%
Other values (57) 525
 
11.3%
(Missing) 1883
40.4%
ValueCountFrequency (%)
0 87
1.9%
10 1
 
< 0.1%
130 1
 
< 0.1%
300 1
 
< 0.1%
330 1
 
< 0.1%
400 1
 
< 0.1%
410 1
 
< 0.1%
500 2
 
< 0.1%
530 2
 
< 0.1%
550 1
 
< 0.1%
ValueCountFrequency (%)
2300 1
 
< 0.1%
2200 1
 
< 0.1%
2100 1
 
< 0.1%
1900 2
 
< 0.1%
1800 10
 
0.2%
1750 2
 
< 0.1%
1730 10
 
0.2%
1710 1
 
< 0.1%
1700 64
1.4%
1650 1
 
< 0.1%

배달종료시각
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)3.2%
Missing1883
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean1718.687
Minimum0
Maximum2350
Zeros231
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size41.1 KiB
2023-12-13T01:18:43.119051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11930
median2040
Q32200
95-th percentile2300
Maximum2350
Range2350
Interquartile range (IQR)270

Descriptive statistics

Standard deviation794.75984
Coefficient of variation (CV)0.46242269
Kurtosis0.38951226
Mean1718.687
Median Absolute Deviation (MAD)140
Skewness-1.4849072
Sum4771075
Variance631643.2
MonotonicityNot monotonic
2023-12-13T01:18:43.223515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2100 371
 
8.0%
2200 335
 
7.2%
2000 328
 
7.0%
0 231
 
5.0%
2030 226
 
4.9%
2300 203
 
4.4%
2130 127
 
2.7%
2230 82
 
1.8%
100 70
 
1.5%
200 64
 
1.4%
Other values (80) 739
 
15.9%
(Missing) 1883
40.4%
ValueCountFrequency (%)
0 231
5.0%
20 1
 
< 0.1%
30 16
 
0.3%
40 3
 
0.1%
50 3
 
0.1%
55 1
 
< 0.1%
100 70
 
1.5%
110 2
 
< 0.1%
120 2
 
< 0.1%
130 21
 
0.5%
ValueCountFrequency (%)
2350 45
 
1.0%
2340 13
 
0.3%
2330 42
 
0.9%
2320 2
 
< 0.1%
2310 3
 
0.1%
2300 203
4.4%
2250 11
 
0.2%
2240 6
 
0.1%
2230 82
1.8%
2220 10
 
0.2%

아침점심저녁구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
1+3+5
3204 
3+5
1298 
5
 
144
1+3
 
9
1+5
 
3

Length

Max length5
Median length5
Mean length4.3131573
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3+5
2nd row1+3+5
3rd row1+3+5
4th row1+3+5
5th row3+5

Common Values

ValueCountFrequency (%)
1+3+5 3204
68.8%
3+5 1298
27.9%
5 144
 
3.1%
1+3 9
 
0.2%
1+5 3
 
0.1%
3 1
 
< 0.1%

Length

2023-12-13T01:18:43.338779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:43.733335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1+3+5 3204
68.8%
3+5 1298
27.9%
5 144
 
3.1%
1+3 9
 
0.2%
1+5 3
 
0.1%
3 1
 
< 0.1%

배달가능여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
True
2776 
False
1883 
ValueCountFrequency (%)
True 2776
59.6%
False 1883
40.4%
2023-12-13T01:18:43.805245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
달서구청
1070 
북구청
883 
수성구청
691 
동구청
656 
달성군청
476 
Other values (3)
883 

Length

Max length4
Median length3
Mean length3.480146
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row달서구청
2nd row달서구청
3rd row달서구청
4th row수성구청
5th row달서구청

Common Values

ValueCountFrequency (%)
달서구청 1070
23.0%
북구청 883
19.0%
수성구청 691
14.8%
동구청 656
14.1%
달성군청 476
10.2%
남구청 364
 
7.8%
중구청 260
 
5.6%
서구청 259
 
5.6%

Length

2023-12-13T01:18:43.904552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:44.002504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구청 1070
23.0%
북구청 883
19.0%
수성구청 691
14.8%
동구청 656
14.1%
달성군청 476
10.2%
남구청 364
 
7.8%
중구청 260
 
5.6%
서구청 259
 
5.6%

관리기관전화번호
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
053-667-2536
1070 
053-665-2527
883 
053-666-4646
691 
053-662-2744
656 
053-668-2687
476 
Other values (3)
883 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-667-2536
2nd row053-667-2536
3rd row053-667-2536
4th row053-666-4646
5th row053-667-2536

Common Values

ValueCountFrequency (%)
053-667-2536 1070
23.0%
053-665-2527 883
19.0%
053-666-4646 691
14.8%
053-662-2744 656
14.1%
053-668-2687 476
10.2%
053-664-2556 364
 
7.8%
053-661-2535 260
 
5.6%
053-663-2613 259
 
5.6%

Length

2023-12-13T01:18:44.193086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:18:44.294182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-2536 1070
23.0%
053-665-2527 883
19.0%
053-666-4646 691
14.8%
053-662-2744 656
14.1%
053-668-2687 476
10.2%
053-664-2556 364
 
7.8%
053-661-2535 260
 
5.6%
053-663-2613 259
 
5.6%

데이터기준일자
Date

Distinct4628
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size36.5 KiB
Minimum2022-08-10 09:55:33
Maximum2022-11-01 17:21:31
2023-12-13T01:18:44.405791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:18:44.531332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

가맹점ID가맹점명가맹점유형코드시도명시군구명시군구코드소재지도로명주소소재지도로명주소상세정보소재지지번주소소재지지번주소상세정보전화번호사업자번호종사업자번호대표자명사업자상태사업자상태변경일프랜차이즈명일반직영음식점분류시설정보구분위도경도평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각배달시작시각배달종료시각아침점심저녁구분배달가능여부관리기관관리기관전화번호데이터기준일자
022110039불닭발땡초동대문엽기떡볶이성서계명대점10대구달서구27290이곡공원로 24<NA>이곡동 1248<NA>053-587-85911213992016<NA>이유근1<NA>동대문엽기떡볶이1123035.854966128.509987110023001100230011002300110023003+5Y달서구청053-667-25362022-11-01 17:21:31
122110038얌샘김밥 대구계명대점10대구달서구27290계대동문로3안길 22<NA>신당동 1697-20<NA>053-587-33786374100542<NA>박경진1<NA>얌샘김밥112+13+183035.858923128.492832100020001000200000100020001+3+5Y달서구청053-667-25362022-11-01 13:41:20
222110037행컵 (계명대점)10대구달서구27290계대동문로3안길 77<NA>신당동 1712-11<NA>053-581-52332407300280<NA>최지영12019-07-01행컵112+13+183035.856437128.492778100021001000210010002100100021001+3+5Y달서구청053-667-25362022-11-01 13:40:28
322110036이마트24대구사월역점20대구수성구27260달구벌대로 3303<NA>사월동 419-1<NA>02-6916-15005140954352<NA>이태희1<NA>이마트 241236035.836879128.717372700070007000<NA><NA>1+3+5N수성구청053-666-46462022-11-01 13:40:13
422110035수가성10대구달서구27290이곡공원로1길 54<NA>이곡동 135<NA>053-582-36335031888005<NA>최병기12008-01-01수가성1113035.856769128.509073104022001040220010402200110021203+5Y달서구청053-667-25362022-11-01 13:39:32
522110034이마트24 두산미래점20대구수성구27260청수로24길 14<NA>두산동 18-1<NA>053-762-20665020836581<NA>김규식1<NA>이마트 241236035.839345128.621163000000<NA><NA>1+3+5N수성구청053-666-46462022-11-01 13:39:29
622110033이마트24 신매공원점20대구수성구27260달구벌대로650길 53<NA>욱수동 262-1<NA>053-795-67885561001398<NA>이영근1<NA>이마트 241236035.833826128.709358000000<NA><NA>1+3+5N수성구청053-666-46462022-11-01 13:38:48
722110032이마트24 R범물청구점20대구수성구27260지범로39길 13<NA>범물동 1277-11<NA>053-213-87595452300443<NA>신정숙1<NA>이마트 241236035.820609128.64213000000<NA><NA>1+3+5N수성구청053-666-46462022-11-01 13:37:42
822110031이마트24 수성구청역점20대구수성구27260달구벌대로 2491세기빌딩범어동 171-4세기빌딩070-7701-89316208151020<NA>김상훈1<NA>이마트 241236035.859179128.635205700230070023007002300<NA><NA>1+3+5N수성구청053-666-46462022-11-01 13:37:05
922110030이마트24 R두산센텀점20대구수성구27260무학로21길 100<NA>두산동 131-7<NA>053-767-92016118801388<NA>권준민1<NA>이마트 241236035.834542128.621047600060006000<NA><NA>1+3+5N수성구청053-666-46462022-11-01 13:36:26
가맹점ID가맹점명가맹점유형코드시도명시군구명시군구코드소재지도로명주소소재지도로명주소상세정보소재지지번주소소재지지번주소상세정보전화번호사업자번호종사업자번호대표자명사업자상태사업자상태변경일프랜차이즈명일반직영음식점분류시설정보구분위도경도평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각배달시작시각배달종료시각아침점심저녁구분배달가능여부관리기관관리기관전화번호데이터기준일자
464922080013사야까10대구중구27110중앙대로 406<NA>남일동 120-5<NA>053-427-01418470400557<NA>전평준1<NA><NA>3183035.869303128.593904113020301130203011302030<NA><NA>3+5N중구청053-661-25352022-08-10 10:18:28
465022080012떡볶이 참 잘하는집 떡참 대구 남산점10대구중구27110남산로 85<NA>남산동 100-10<NA>053-252-47703521102036<NA>박지윤1<NA>떡볶이참잘하는집1123035.864276128.582121110023001100230011002300100022003+5Y중구청053-661-25352022-08-10 10:16:22
465122080011나드리김밥남산점10대구중구27110달구벌대로 1950남산그린타운 106동 105호남산동 2937-1남산그린타운 106동 105호053-421-10031445800733<NA>이명자1<NA>나드리김밥1123035.86288128.576747900210090021009002100100021001+3+5Y중구청053-661-25352022-08-10 10:14:22
465222080010주식회사 구산준10대구중구27110중앙대로 412-54<NA>동성로2가 93-8<NA>053-422-11208138101267<NA>박종혁1<NA>마이카츠1186035.869822128.595352110021001100210011002100110020303+5Y중구청053-661-25352022-08-10 10:12:35
465322080009칭다오반점10대구중구27110국채보상로 539대양빌딩상서동 22-5대양빌딩053-254-85174651901080<NA>정유나1<NA><NA>3113035.870649128.589626103020001030200010302000103020001+3+5Y중구청053-661-25352022-08-10 10:10:26
465422080008예원10대구중구27110경상감영길 161<NA>동문동 31-6<NA>053-423-81165042875803<NA>황택진1<NA><NA>3113035.87249128.596325110021001100210011002100103020303+5Y중구청053-661-25352022-08-10 10:05:59
465522080007맘스터치(중앙로점)10대구중구27110중앙대로 389<NA>동성로3가 10-4<NA>053-422-42434402400301<NA>박경일1<NA>맘스터치1173035.86789128.593384103022501030225010302250110021001+3+5Y중구청053-661-25352022-08-10 10:04:38
465622080006현풍닭칼국수동성로점10대구중구27110동성로1길 65<NA>봉산동 25-8<NA>053-424-66991647000078<NA>최문혁12017-01-01현풍닭칼국수1133035.865616128.596957110021001100210011002100110020303+5Y중구청053-661-25352022-08-10 10:01:51
465722080005본죽 남문시장점10대구중구27110명륜로 72<NA>남산동 698-3<NA>053-423-33505043036201<NA>김영훈1<NA>본죽1193035.86115128.59231590021309002130900213091022001+3+5Y중구청053-661-25352022-08-10 09:59:25
465822080004고봉민김밥 남산점10대구중구27110달구벌대로 1950남산그린타운남산동 2937-1남산그린타운053-424-82495043130825<NA>윤무근1<NA>고봉민김밥1123035.86288128.576747800210080021008002100100020301+3+5Y중구청053-661-25352022-08-10 09:55:33