Overview

Dataset statistics

Number of variables8
Number of observations333
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.6 KiB
Average record size in memory66.4 B

Variable types

Numeric2
Categorical3
Text2
DateTime1

Dataset

Description전북특별자치도 익산시에서 진행중인 집단급식소 현황입니다. 제공하고 있는 데이터는 어느 곳에서 집단급식을 진행하고 있는지와 그 기관의 성격, 이름, 도로명주소, 하루동안 먹는 인원입니다.
Author전북특별자치도 익산시
URLhttps://www.data.go.kr/data/15117084/fileData.do

Alerts

지역 has constant value ""Constant
구분1 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순서 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:52:45.217617
Analysis finished2024-03-14 16:52:47.399514
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

UNIQUE 

Distinct333
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167
Minimum1
Maximum333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-03-15T01:52:47.679671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.6
Q184
median167
Q3250
95-th percentile316.4
Maximum333
Range332
Interquartile range (IQR)166

Descriptive statistics

Standard deviation96.273049
Coefficient of variation (CV)0.57648532
Kurtosis-1.2
Mean167
Median Absolute Deviation (MAD)83
Skewness0
Sum55611
Variance9268.5
MonotonicityStrictly increasing
2024-03-15T01:52:48.140429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
230 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
Other values (323) 323
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
익산시
333 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
익산시 333
100.0%

Length

2024-03-15T01:52:48.646760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:52:48.954454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
익산시 333
100.0%

구분1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
집단급식소
333 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 333
100.0%

Length

2024-03-15T01:52:49.279964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:52:49.593250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 333
100.0%

구분2
Categorical

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
학교
116 
사회복지시설
88 
사업체
45 
산업체
27 
병원
26 
Other values (5)
31 

Length

Max length7
Median length6
Mean length3.4324324
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업체
2nd row사업체
3rd row사회복지시설
4th row사업체
5th row병원

Common Values

ValueCountFrequency (%)
학교 116
34.8%
사회복지시설 88
26.4%
사업체 45
 
13.5%
산업체 27
 
8.1%
병원 26
 
7.8%
공공기관 12
 
3.6%
어린이집 7
 
2.1%
기타 5
 
1.5%
유치원 5
 
1.5%
청소년수련시설 2
 
0.6%

Length

2024-03-15T01:52:49.941892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:52:50.315056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 116
34.8%
사회복지시설 88
26.4%
사업체 45
 
13.5%
산업체 27
 
8.1%
병원 26
 
7.8%
공공기관 12
 
3.6%
어린이집 7
 
2.1%
기타 5
 
1.5%
유치원 5
 
1.5%
청소년수련시설 2
 
0.6%

업소명
Text

UNIQUE 

Distinct333
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T01:52:51.288733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.0780781
Min length2

Characters and Unicode

Total characters2690
Distinct characters328
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)100.0%

Sample

1st row삼양식품(주)
2nd row(주)오리온제2익산공장
3rd row이리자선원
4th row오씨아이 주식회사
5th row원광대학교병원
ValueCountFrequency (%)
어린이집 9
 
2.3%
주식회사 9
 
2.3%
의료법인 4
 
1.0%
익산공장 3
 
0.8%
주)엘지화학 2
 
0.5%
육군부사관학교 2
 
0.5%
익산시 2
 
0.5%
한국철도공사 2
 
0.5%
익산캠퍼스 2
 
0.5%
광전자(주 2
 
0.5%
Other values (358) 359
90.7%
2024-03-15T01:52:52.674942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 113
 
4.2%
학 110
 
4.1%
교 108
 
4.0%
원 104
 
3.9%
등 79
 
2.9%
산 72
 
2.7%
집 71
 
2.6%
어 68
 
2.5%
주 66
 
2.5%
63
 
2.3%
Other values (318) 1836
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2474
92.0%
Space Separator 63
 
2.3%
Open Punctuation 63
 
2.3%
Close Punctuation 63
 
2.3%
Lowercase Letter 10
 
0.4%
Decimal Number 9
 
0.3%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 113
 
4.6%
학 110
 
4.4%
교 108
 
4.4%
원 104
 
4.2%
등 79
 
3.2%
산 72
 
2.9%
집 71
 
2.9%
어 68
 
2.7%
주 66
 
2.7%
린 63
 
2.5%
Other values (295) 1620
65.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
20.0%
t 2
20.0%
e 1
10.0%
i 1
10.0%
o 1
10.0%
k 1
10.0%
p 1
10.0%
r 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 6
66.7%
1 1
 
11.1%
3 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
L 1
25.0%
V 1
25.0%
J 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
/ 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2474
92.0%
Common 202
 
7.5%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 113
 
4.6%
학 110
 
4.4%
교 108
 
4.4%
원 104
 
4.2%
등 79
 
3.2%
산 72
 
2.9%
집 71
 
2.9%
어 68
 
2.7%
주 66
 
2.7%
린 63
 
2.5%
Other values (295) 1620
65.5%
Latin
ValueCountFrequency (%)
s 2
14.3%
t 2
14.3%
e 1
7.1%
i 1
7.1%
o 1
7.1%
k 1
7.1%
p 1
7.1%
r 1
7.1%
G 1
7.1%
L 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
63
31.2%
( 63
31.2%
) 63
31.2%
2 6
 
3.0%
- 1
 
0.5%
1 1
 
0.5%
3 1
 
0.5%
. 1
 
0.5%
/ 1
 
0.5%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2474
92.0%
ASCII 216
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 113
 
4.6%
학 110
 
4.4%
교 108
 
4.4%
원 104
 
4.2%
등 79
 
3.2%
산 72
 
2.9%
집 71
 
2.9%
어 68
 
2.7%
주 66
 
2.7%
린 63
 
2.5%
Other values (295) 1620
65.5%
ASCII
ValueCountFrequency (%)
63
29.2%
( 63
29.2%
) 63
29.2%
2 6
 
2.8%
s 2
 
0.9%
t 2
 
0.9%
- 1
 
0.5%
e 1
 
0.5%
i 1
 
0.5%
o 1
 
0.5%
Other values (13) 13
 
6.0%

소재지(도로명)
Text

Distinct321
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T01:52:53.660251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length28.477477
Min length21

Characters and Unicode

Total characters9483
Distinct characters233
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

Unique312 ?
Unique (%)93.7%

Sample

1st row전북특별자치도 익산시 익산대로21길 1-12 (모현동2가)
2nd row전북특별자치도 익산시 서동로23길 11 (신흥동)
3rd row전북특별자치도 익산시 익산대로76길 9-17 (신용동)
4th row전북특별자치도 익산시 보석로4길 107 (신흥동)
5th row전북특별자치도 익산시 무왕로 895 (신동)
ValueCountFrequency (%)
전북특별자치도 333
 
18.4%
익산시 333
 
18.4%
영등동 25
 
1.4%
1층 21
 
1.2%
부송동 21
 
1.2%
신동 17
 
0.9%
모현동1가 17
 
0.9%
익산대로 15
 
0.8%
남중동 15
 
0.8%
왕궁면 15
 
0.8%
Other values (530) 996
55.1%
2024-03-15T01:52:55.193162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1476
 
15.6%
산 429
 
4.5%
익 378
 
4.0%
북 351
 
3.7%
동 349
 
3.7%
시 337
 
3.6%
도 337
 
3.6%
전 336
 
3.5%
치 335
 
3.5%
특 334
 
3.5%
Other values (223) 4821
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6065
64.0%
Space Separator 1476
 
15.6%
Decimal Number 1257
 
13.3%
Open Punctuation 270
 
2.8%
Close Punctuation 270
 
2.8%
Other Punctuation 68
 
0.7%
Dash Punctuation 67
 
0.7%
Uppercase Letter 7
 
0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 429
 
7.1%
익 378
 
6.2%
북 351
 
5.8%
동 349
 
5.8%
시 337
 
5.6%
도 337
 
5.6%
전 336
 
5.5%
치 335
 
5.5%
특 334
 
5.5%
자 333
 
5.5%
Other values (201) 2546
42.0%
Decimal Number
ValueCountFrequency (%)
1 330
26.3%
2 176
14.0%
3 157
12.5%
4 109
 
8.7%
5 96
 
7.6%
7 95
 
7.6%
9 84
 
6.7%
6 80
 
6.4%
0 70
 
5.6%
8 60
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
G 1
 
14.3%
E 1
 
14.3%
D 1
 
14.3%
B 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6066
64.0%
Common 3410
36.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 429
 
7.1%
익 378
 
6.2%
북 351
 
5.8%
동 349
 
5.8%
시 337
 
5.6%
도 337
 
5.6%
전 336
 
5.5%
치 335
 
5.5%
특 334
 
5.5%
자 333
 
5.5%
Other values (202) 2547
42.0%
Common
ValueCountFrequency (%)
1476
43.3%
1 330
 
9.7%
( 270
 
7.9%
) 270
 
7.9%
2 176
 
5.2%
3 157
 
4.6%
4 109
 
3.2%
5 96
 
2.8%
7 95
 
2.8%
9 84
 
2.5%
Other values (6) 347
 
10.2%
Latin
ValueCountFrequency (%)
A 3
42.9%
G 1
 
14.3%
E 1
 
14.3%
D 1
 
14.3%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6065
64.0%
ASCII 3417
36.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1476
43.2%
1 330
 
9.7%
( 270
 
7.9%
) 270
 
7.9%
2 176
 
5.2%
3 157
 
4.6%
4 109
 
3.2%
5 96
 
2.8%
7 95
 
2.8%
9 84
 
2.5%
Other values (11) 354
 
10.4%
Hangul
ValueCountFrequency (%)
산 429
 
7.1%
익 378
 
6.2%
북 351
 
5.8%
동 349
 
5.8%
시 337
 
5.6%
도 337
 
5.6%
전 336
 
5.5%
치 335
 
5.5%
특 334
 
5.5%
자 333
 
5.5%
Other values (201) 2546
42.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

식수(인원)
Real number (ℝ)

Distinct172
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.52252
Minimum40
Maximum4500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-03-15T01:52:55.584048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile58
Q198
median175
Q3390
95-th percentile1152
Maximum4500
Range4460
Interquartile range (IQR)292

Descriptive statistics

Standard deviation479.4643
Coefficient of variation (CV)1.3717694
Kurtosis23.402944
Mean349.52252
Median Absolute Deviation (MAD)95
Skewness4.0007125
Sum116391
Variance229886.02
MonotonicityNot monotonic
2024-03-15T01:52:56.027580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 15
 
4.5%
90 13
 
3.9%
180 11
 
3.3%
80 9
 
2.7%
300 8
 
2.4%
150 7
 
2.1%
130 7
 
2.1%
120 7
 
2.1%
50 7
 
2.1%
60 6
 
1.8%
Other values (162) 243
73.0%
ValueCountFrequency (%)
40 1
 
0.3%
50 7
2.1%
51 1
 
0.3%
54 2
 
0.6%
55 1
 
0.3%
56 2
 
0.6%
57 1
 
0.3%
58 4
1.2%
59 1
 
0.3%
60 6
1.8%
ValueCountFrequency (%)
4500 1
0.3%
3000 2
0.6%
2580 1
0.3%
2100 2
0.6%
1620 1
0.3%
1500 1
0.3%
1432 1
0.3%
1430 1
0.3%
1300 1
0.3%
1260 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2023-07-24 00:00:00
Maximum2023-07-24 00:00:00
2024-03-15T01:52:56.370099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:52:56.667511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T01:52:46.352167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:52:45.838861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:52:46.602519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:52:46.104476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:52:56.875197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서구분2식수(인원)
순서1.0000.7040.359
구분20.7041.0000.301
식수(인원)0.3590.3011.000
2024-03-15T01:52:57.118814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서식수(인원)구분2
순서1.000-0.4710.285
식수(인원)-0.4711.0000.148
구분20.2850.1481.000

Missing values

2024-03-15T01:52:46.913738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:52:47.234801image/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

순서지역구분1구분2업소명소재지(도로명)식수(인원)데이터기준일자
01익산시집단급식소사업체삼양식품(주)전북특별자치도 익산시 익산대로21길 1-12 (모현동2가)2902023-07-24
12익산시집단급식소사업체(주)오리온제2익산공장전북특별자치도 익산시 서동로23길 11 (신흥동)5902023-07-24
23익산시집단급식소사회복지시설이리자선원전북특별자치도 익산시 익산대로76길 9-17 (신용동)4202023-07-24
34익산시집단급식소사업체오씨아이 주식회사전북특별자치도 익산시 보석로4길 107 (신흥동)2102023-07-24
45익산시집단급식소병원원광대학교병원전북특별자치도 익산시 무왕로 895 (신동)21002023-07-24
56익산시집단급식소학교한국폴리텍V대학 익산캠퍼스전북특별자치도 익산시 선화로 579 (어양동)12402023-07-24
67익산시집단급식소사업체(주)오리온제3익산공장전북특별자치도 익산시 동서로 317 (영등동)2202023-07-24
78익산시집단급식소학교전북기계공고전북특별자치도 익산시 인북로32길 41 (남중동)45002023-07-24
89익산시집단급식소학교원광대학교 도덕교육원전북특별자치도 익산시 동서로5길 16 (신동)3602023-07-24
910익산시집단급식소사업체동우화인켐(주)전북특별자치도 익산시 약촌로 132 (신흥동)3402023-07-24
순서지역구분1구분2업소명소재지(도로명)식수(인원)데이터기준일자
323324익산시집단급식소산업체(주)함소아제약 익산공장전북특별자치도 익산시 삼기면 산단오룡길 88, 3층402023-07-24
324325익산시집단급식소산업체크로다코리아(주)전북특별자치도 익산시 석암로11길 11, 솔루스바이오텍 1층 (용제동)632023-07-24
325326익산시집단급식소공공기관익산시보건소전북특별자치도 익산시 무왕로 975, 익산시보건소 4층 (신동)1002023-07-24
326327익산시집단급식소기타케이티 스포츠(kt sports)전북특별자치도 익산시 무왕로 1397, 야구회관 1층 (부송동)2102023-07-24
327328익산시집단급식소산업체마더스제약전북특별자치도 익산시 삼기면 산단오룡길 38902023-07-24
328329익산시집단급식소산업체주식회사 에스씨알전북특별자치도 익산시 석암로3길 17-26, 비엔테크㈜ (용제동)1002023-07-24
329330익산시집단급식소기타육군부사관학교 간부식당전북특별자치도 익산시 여산면 옥금동길 6, 육군부사관학교 간부식당1802023-07-24
330331익산시집단급식소사회복지시설익산실버재활요양센터전북특별자치도 익산시 춘포면 춘포2길 22-43502023-07-24
331332익산시집단급식소산업체(유)삼각에프엠씨 월빙랜드전북특별자치도 익산시 왕궁면 푸드폴리스로 59, G동 2층802023-07-24
332333익산시집단급식소사회복지시설금쪽같은 내부모님 데이케어전북특별자치도 익산시 배산로 190 (모현동1가)1002023-07-24