Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text2
Categorical3

Dataset

Description대전광역시 청년가족국 가족돌봄과에서 사업 중인 아동급식카드 지원 사업과 관련하여 아동급식카드 가맹점 리스트 자료입니다
URLhttps://www.data.go.kr/data/15100147/fileData.do

Alerts

모집사 has constant value ""Constant
상태 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:36:32.721546
Analysis finished2023-12-12 08:36:34.434796
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13156.499
Minimum3
Maximum26225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:36:34.535566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1267.95
Q16615.25
median13243.5
Q319736.25
95-th percentile24973.15
Maximum26225
Range26222
Interquartile range (IQR)13121

Descriptive statistics

Standard deviation7599.7491
Coefficient of variation (CV)0.57764223
Kurtosis-1.20644
Mean13156.499
Median Absolute Deviation (MAD)6570
Skewness-0.013074813
Sum1.3156499 × 108
Variance57756187
MonotonicityNot monotonic
2023-12-12T17:36:34.708294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8497 1
 
< 0.1%
24318 1
 
< 0.1%
5152 1
 
< 0.1%
8307 1
 
< 0.1%
12232 1
 
< 0.1%
11118 1
 
< 0.1%
11641 1
 
< 0.1%
21424 1
 
< 0.1%
9752 1
 
< 0.1%
11540 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
21 1
< 0.1%
ValueCountFrequency (%)
26225 1
< 0.1%
26224 1
< 0.1%
26223 1
< 0.1%
26217 1
< 0.1%
26216 1
< 0.1%
26215 1
< 0.1%
26213 1
< 0.1%
26210 1
< 0.1%
26209 1
< 0.1%
26208 1
< 0.1%

가맹점명
Text

Distinct9429
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:36:35.141766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length6.8048
Min length1

Characters and Unicode

Total characters68048
Distinct characters1042
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9010 ?
Unique (%)90.1%

Sample

1st row수탉이울면 식당
2nd row태양오리전문점
3rd row와이엠푸드
4th row삼원식품
5th row농민식품
ValueCountFrequency (%)
이마트24 101
 
0.8%
주식회사 98
 
0.8%
세븐일레븐 73
 
0.6%
씨유(cu 53
 
0.4%
지에스25 52
 
0.4%
둔산점 45
 
0.4%
관저점 37
 
0.3%
유성점 29
 
0.2%
맘스터치 20
 
0.2%
한남대점 20
 
0.2%
Other values (9772) 11719
95.7%
2023-12-12T17:36:35.770575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2718
 
4.0%
2247
 
3.3%
대 1814
 
2.7%
이 1373
 
2.0%
전 1188
 
1.7%
식 1119
 
1.6%
스 900
 
1.3%
리 885
 
1.3%
마 843
 
1.2%
당 794
 
1.2%
Other values (1032) 54167
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60867
89.4%
Space Separator 2247
 
3.3%
Decimal Number 1447
 
2.1%
Uppercase Letter 1165
 
1.7%
Close Punctuation 723
 
1.1%
Open Punctuation 721
 
1.1%
Lowercase Letter 666
 
1.0%
Other Punctuation 200
 
0.3%
Dash Punctuation 6
 
< 0.1%
Connector Punctuation 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2718
 
4.5%
대 1814
 
3.0%
이 1373
 
2.3%
전 1188
 
2.0%
식 1119
 
1.8%
스 900
 
1.5%
리 885
 
1.5%
마 843
 
1.4%
당 794
 
1.3%
가 670
 
1.1%
Other values (956) 48563
79.8%
Uppercase Letter
ValueCountFrequency (%)
S 183
15.7%
G 157
13.5%
C 129
 
11.1%
U 82
 
7.0%
B 68
 
5.8%
A 58
 
5.0%
O 43
 
3.7%
T 43
 
3.7%
R 39
 
3.3%
D 38
 
3.3%
Other values (16) 325
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 87
13.1%
a 64
 
9.6%
o 59
 
8.9%
n 41
 
6.2%
h 38
 
5.7%
t 38
 
5.7%
i 37
 
5.6%
r 36
 
5.4%
s 33
 
5.0%
m 27
 
4.1%
Other values (15) 206
30.9%
Decimal Number
ValueCountFrequency (%)
2 442
30.5%
5 277
19.1%
4 159
 
11.0%
1 155
 
10.7%
0 137
 
9.5%
9 87
 
6.0%
3 67
 
4.6%
8 50
 
3.5%
7 37
 
2.6%
6 36
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 64
32.0%
& 64
32.0%
. 43
21.5%
, 11
 
5.5%
' 10
 
5.0%
! 5
 
2.5%
# 2
 
1.0%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 723
100.0%
Open Punctuation
ValueCountFrequency (%)
( 721
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60865
89.4%
Common 5350
 
7.9%
Latin 1831
 
2.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2718
 
4.5%
대 1814
 
3.0%
이 1373
 
2.3%
전 1188
 
2.0%
식 1119
 
1.8%
스 900
 
1.5%
리 885
 
1.5%
마 843
 
1.4%
당 794
 
1.3%
가 670
 
1.1%
Other values (954) 48561
79.8%
Latin
ValueCountFrequency (%)
S 183
 
10.0%
G 157
 
8.6%
C 129
 
7.0%
e 87
 
4.8%
U 82
 
4.5%
B 68
 
3.7%
a 64
 
3.5%
o 59
 
3.2%
A 58
 
3.2%
O 43
 
2.3%
Other values (41) 901
49.2%
Common
ValueCountFrequency (%)
2247
42.0%
) 723
 
13.5%
( 721
 
13.5%
2 442
 
8.3%
5 277
 
5.2%
4 159
 
3.0%
1 155
 
2.9%
0 137
 
2.6%
9 87
 
1.6%
3 67
 
1.3%
Other values (15) 335
 
6.3%
Han
ValueCountFrequency (%)
情 1
50.0%
高 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60865
89.4%
ASCII 7179
 
10.5%
None 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2718
 
4.5%
대 1814
 
3.0%
이 1373
 
2.3%
전 1188
 
2.0%
식 1119
 
1.8%
스 900
 
1.5%
리 885
 
1.5%
마 843
 
1.4%
당 794
 
1.3%
가 670
 
1.1%
Other values (954) 48561
79.8%
ASCII
ValueCountFrequency (%)
2247
31.3%
) 723
 
10.1%
( 721
 
10.0%
2 442
 
6.2%
5 277
 
3.9%
S 183
 
2.5%
4 159
 
2.2%
G 157
 
2.2%
1 155
 
2.2%
0 137
 
1.9%
Other values (64) 1978
27.6%
None
ValueCountFrequency (%)
· 1
50.0%
° 1
50.0%
CJK
ValueCountFrequency (%)
情 1
50.0%
高 1
50.0%

가맹점주소
Text

Distinct9758
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:36:36.164980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length25.8798
Min length9

Characters and Unicode

Total characters258798
Distinct characters544
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

Unique9531 ?
Unique (%)95.3%

Sample

1st row대전 대덕구 덕암로 601층 (상서동)
2nd row대전 서구 둔산로 4(둔산동)
3rd row대전 유성구 죽동로280번길 671층 (죽동)
4th row대전 동구 계족로368번길 152(가양동)
5th row대전 대덕구 오정로41번길 54-3(오정동)
ValueCountFrequency (%)
대전 9917
 
20.0%
서구 3103
 
6.3%
유성구 2678
 
5.4%
동구 1457
 
2.9%
대덕구 1405
 
2.8%
중구 1352
 
2.7%
1층 474
 
1.0%
101호 349
 
0.7%
둔산동 330
 
0.7%
102호 246
 
0.5%
Other values (10346) 28214
57.0%
2023-12-12T17:36:37.040998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39524
 
15.3%
1 17123
 
6.6%
대 14471
 
5.6%
동 13120
 
5.1%
전 10858
 
4.2%
구 10432
 
4.0%
) 9772
 
3.8%
( 9771
 
3.8%
로 9541
 
3.7%
2 6551
 
2.5%
Other values (534) 117635
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139518
53.9%
Decimal Number 53693
 
20.7%
Space Separator 39525
 
15.3%
Close Punctuation 9772
 
3.8%
Open Punctuation 9771
 
3.8%
Other Punctuation 4231
 
1.6%
Dash Punctuation 1934
 
0.7%
Uppercase Letter 332
 
0.1%
Math Symbol 21
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 14471
 
10.4%
동 13120
 
9.4%
전 10858
 
7.8%
구 10432
 
7.5%
로 9541
 
6.8%
층 5573
 
4.0%
길 5453
 
3.9%
번 5192
 
3.7%
서 3817
 
2.7%
성 3472
 
2.5%
Other values (486) 57589
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 79
23.8%
A 60
18.1%
C 32
9.6%
E 31
 
9.3%
K 15
 
4.5%
T 12
 
3.6%
L 12
 
3.6%
W 11
 
3.3%
D 9
 
2.7%
J 8
 
2.4%
Other values (15) 63
19.0%
Decimal Number
ValueCountFrequency (%)
1 17123
31.9%
2 6551
 
12.2%
0 5324
 
9.9%
3 4944
 
9.2%
4 4042
 
7.5%
5 3930
 
7.3%
6 3361
 
6.3%
7 3167
 
5.9%
8 2850
 
5.3%
9 2401
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 4191
99.1%
. 28
 
0.7%
& 4
 
0.1%
/ 3
 
0.1%
* 3
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
39524
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9772
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1934
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139518
53.9%
Common 118947
46.0%
Latin 333
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 14471
 
10.4%
동 13120
 
9.4%
전 10858
 
7.8%
구 10432
 
7.5%
로 9541
 
6.8%
층 5573
 
4.0%
길 5453
 
3.9%
번 5192
 
3.7%
서 3817
 
2.7%
성 3472
 
2.5%
Other values (486) 57589
41.3%
Latin
ValueCountFrequency (%)
B 79
23.7%
A 60
18.0%
C 32
9.6%
E 31
 
9.3%
K 15
 
4.5%
T 12
 
3.6%
L 12
 
3.6%
W 11
 
3.3%
D 9
 
2.7%
J 8
 
2.4%
Other values (16) 64
19.2%
Common
ValueCountFrequency (%)
39524
33.2%
1 17123
14.4%
) 9772
 
8.2%
( 9771
 
8.2%
2 6551
 
5.5%
0 5324
 
4.5%
3 4944
 
4.2%
, 4191
 
3.5%
4 4042
 
3.4%
5 3930
 
3.3%
Other values (12) 13775
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139518
53.9%
ASCII 119279
46.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39524
33.1%
1 17123
14.4%
) 9772
 
8.2%
( 9771
 
8.2%
2 6551
 
5.5%
0 5324
 
4.5%
3 4944
 
4.1%
, 4191
 
3.5%
4 4042
 
3.4%
5 3930
 
3.3%
Other values (37) 14107
 
11.8%
Hangul
ValueCountFrequency (%)
대 14471
 
10.4%
동 13120
 
9.4%
전 10858
 
7.8%
구 10432
 
7.5%
로 9541
 
6.8%
층 5573
 
4.0%
길 5453
 
3.9%
번 5192
 
3.7%
서 3817
 
2.7%
성 3472
 
2.5%
Other values (486) 57589
41.3%
None
ValueCountFrequency (%)
　 1
100.0%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
BC일반가맹점
8765 
BC주부식가맹점
1235 

Length

Max length8
Median length7
Mean length7.1235
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBC일반가맹점
2nd rowBC일반가맹점
3rd rowBC일반가맹점
4th rowBC주부식가맹점
5th rowBC주부식가맹점

Common Values

ValueCountFrequency (%)
BC일반가맹점 8765
87.6%
BC주부식가맹점 1235
 
12.3%

Length

2023-12-12T17:36:37.262113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:36:37.374686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bc일반가맹점 8765
87.6%
bc주부식가맹점 1235
 
12.3%

모집사
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대전광역시
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 10000
100.0%

Length

2023-12-12T17:36:37.494528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:36:37.596102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 10000
100.0%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 10000
100.0%

Length

2023-12-12T17:36:37.695589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:36:37.802602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2023-12-12T17:36:34.001519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:36:37.865849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.062
구분0.0621.000
2023-12-12T17:36:37.959920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.047
구분0.0471.000

Missing values

2023-12-12T17:36:34.186593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:36:34.362439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번가맹점명가맹점주소구분모집사상태
84968497수탉이울면 식당대전 대덕구 덕암로 601층 (상서동)BC일반가맹점대전광역시정상
1058110582태양오리전문점대전 서구 둔산로 4(둔산동)BC일반가맹점대전광역시정상
83298330와이엠푸드대전 유성구 죽동로280번길 671층 (죽동)BC일반가맹점대전광역시정상
1902219023삼원식품대전 동구 계족로368번길 152(가양동)BC주부식가맹점대전광역시정상
2026020261농민식품대전 대덕구 오정로41번길 54-3(오정동)BC주부식가맹점대전광역시정상
1869418695매일좋은날대전 유성구 원내로 18(원내동)BC일반가맹점대전광역시정상
72037204한입만포크대전 중구 대흥로24번길 33(대사동)BC일반가맹점대전광역시정상
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