Overview

Dataset statistics

Number of variables6
Number of observations359
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory50.4 B

Variable types

Numeric2
Categorical2
Text2

Dataset

Description경상남도 진주시 내에 있는 음식물폐기물 다량배출사업장의 정보와 관련된 내용입니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034298

Alerts

우편번호 is highly overall correlated with 행정동명High correlation
행정동명 is highly overall correlated with 우편번호High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:26:47.780930
Analysis finished2023-12-11 00:26:50.612526
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180
Minimum1
Maximum359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T09:26:50.700643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.9
Q190.5
median180
Q3269.5
95-th percentile341.1
Maximum359
Range358
Interquartile range (IQR)179

Descriptive statistics

Standard deviation103.77861
Coefficient of variation (CV)0.57654784
Kurtosis-1.2
Mean180
Median Absolute Deviation (MAD)90
Skewness0
Sum64620
Variance10770
MonotonicityStrictly increasing
2023-12-11T09:26:50.869696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
248 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
Other values (349) 349
97.2%
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 (%)
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%

업종명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반음식점
179 
집단급식소
176 
휴게음식점
 
2
숙박시설
 
2

Length

Max length5
Median length5
Mean length4.994429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 179
49.9%
집단급식소 176
49.0%
휴게음식점 2
 
0.6%
숙박시설 2
 
0.6%

Length

2023-12-11T09:26:51.026396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:51.149725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 179
49.9%
집단급식소 176
49.0%
휴게음식점 2
 
0.6%
숙박시설 2
 
0.6%

업소명
Text

UNIQUE 

Distinct359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T09:26:51.424518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length8.4345404
Min length2

Characters and Unicode

Total characters3028
Distinct characters416
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)100.0%

Sample

1st row(주)디티알(DTR)
2nd row(주)신흥
3rd row(주)엠비씨컨벤션진주
4th row(주)이마트진주점 급식소
5th row(주)제이엠드림스 미스터피자경상대점
ValueCountFrequency (%)
진주점 4
 
0.9%
주식회사 4
 
0.9%
평거점 3
 
0.7%
급식소 3
 
0.7%
㈜아워홈 3
 
0.7%
진주평거점 2
 
0.5%
진주의료재단 2
 
0.5%
경상대점 2
 
0.5%
하대점 2
 
0.5%
통묵은지 2
 
0.5%
Other values (403) 406
93.8%
2023-12-11T09:26:51.880418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 131
 
4.3%
진 95
 
3.1%
교 93
 
3.1%
학 93
 
3.1%
75
 
2.5%
식 67
 
2.2%
등 60
 
2.0%
원 58
 
1.9%
( 57
 
1.9%
) 57
 
1.9%
Other values (406) 2242
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2774
91.6%
Space Separator 75
 
2.5%
Open Punctuation 58
 
1.9%
Close Punctuation 58
 
1.9%
Lowercase Letter 20
 
0.7%
Uppercase Letter 15
 
0.5%
Other Symbol 12
 
0.4%
Decimal Number 11
 
0.4%
Other Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 131
 
4.7%
진 95
 
3.4%
교 93
 
3.4%
학 93
 
3.4%
식 67
 
2.4%
등 60
 
2.2%
원 58
 
2.1%
점 55
 
2.0%
스 50
 
1.8%
에 48
 
1.7%
Other values (367) 2024
73.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
15.0%
n 3
15.0%
i 2
10.0%
s 2
10.0%
t 2
10.0%
o 2
10.0%
x 1
 
5.0%
c 1
 
5.0%
k 1
 
5.0%
a 1
 
5.0%
Other values (2) 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
13.3%
R 2
13.3%
L 2
13.3%
T 2
13.3%
D 1
6.7%
H 1
6.7%
O 1
6.7%
B 1
6.7%
W 1
6.7%
C 1
6.7%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
5 2
18.2%
0 2
18.2%
3 2
18.2%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
33.3%
& 1
33.3%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 57
98.3%
[ 1
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 57
98.3%
] 1
 
1.7%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2786
92.0%
Common 206
 
6.8%
Latin 36
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 131
 
4.7%
진 95
 
3.4%
교 93
 
3.3%
학 93
 
3.3%
식 67
 
2.4%
등 60
 
2.2%
원 58
 
2.1%
점 55
 
2.0%
스 50
 
1.8%
에 48
 
1.7%
Other values (368) 2036
73.1%
Latin
ValueCountFrequency (%)
e 3
 
8.3%
n 3
 
8.3%
I 2
 
5.6%
i 2
 
5.6%
R 2
 
5.6%
s 2
 
5.6%
t 2
 
5.6%
L 2
 
5.6%
T 2
 
5.6%
o 2
 
5.6%
Other values (14) 14
38.9%
Common
ValueCountFrequency (%)
75
36.4%
( 57
27.7%
) 57
27.7%
2 4
 
1.9%
5 2
 
1.0%
0 2
 
1.0%
3 2
 
1.0%
/ 1
 
0.5%
] 1
 
0.5%
[ 1
 
0.5%
Other values (4) 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2774
91.6%
ASCII 241
 
8.0%
None 12
 
0.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 131
 
4.7%
진 95
 
3.4%
교 93
 
3.4%
학 93
 
3.4%
식 67
 
2.4%
등 60
 
2.2%
원 58
 
2.1%
점 55
 
2.0%
스 50
 
1.8%
에 48
 
1.7%
Other values (367) 2024
73.0%
ASCII
ValueCountFrequency (%)
75
31.1%
( 57
23.7%
) 57
23.7%
2 4
 
1.7%
e 3
 
1.2%
n 3
 
1.2%
I 2
 
0.8%
5 2
 
0.8%
i 2
 
0.8%
R 2
 
0.8%
Other values (27) 34
14.1%
None
ValueCountFrequency (%)
㈜ 12
100.0%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
100.0%

소재지(도로명)
Text

Distinct352
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T09:26:52.183567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length22.874652
Min length10

Characters and Unicode

Total characters8212
Distinct characters228
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)96.7%

Sample

1st row 진주시 이반성면 진마대로2498번길 11
2nd row 진주시 대신로 150 (상평동)
3rd row 진주시 동진로 415 (진주종합운동장)
4th row 진주시 진양호로 477 (인사동)
5th row 진주시 진주대로 502 (가좌동,(2층)
ValueCountFrequency (%)
진주시 358
 
22.3%
1층 41
 
2.6%
경상남도 37
 
2.3%
진주대로 32
 
2.0%
정촌면 25
 
1.6%
평거동 23
 
1.4%
2층 21
 
1.3%
남강로 17
 
1.1%
문산읍 15
 
0.9%
충무공동 15
 
0.9%
Other values (604) 1020
63.6%
2023-12-11T09:26:52.653666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1470
17.9%
진 466
 
5.7%
주 425
 
5.2%
1 381
 
4.6%
시 365
 
4.4%
로 332
 
4.0%
동 310
 
3.8%
) 290
 
3.5%
( 289
 
3.5%
2 243
 
3.0%
Other values (218) 3641
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4344
52.9%
Decimal Number 1539
 
18.7%
Space Separator 1470
 
17.9%
Close Punctuation 290
 
3.5%
Open Punctuation 289
 
3.5%
Other Punctuation 172
 
2.1%
Dash Punctuation 57
 
0.7%
Connector Punctuation 27
 
0.3%
Lowercase Letter 11
 
0.1%
Uppercase Letter 9
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 466
 
10.7%
주 425
 
9.8%
시 365
 
8.4%
로 332
 
7.6%
동 310
 
7.1%
층 175
 
4.0%
길 164
 
3.8%
번 145
 
3.3%
대 114
 
2.6%
남 84
 
1.9%
Other values (185) 1764
40.6%
Decimal Number
ValueCountFrequency (%)
1 381
24.8%
2 243
15.8%
3 156
10.1%
0 139
 
9.0%
5 137
 
8.9%
4 110
 
7.1%
9 104
 
6.8%
6 93
 
6.0%
7 89
 
5.8%
8 87
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
s 3
27.3%
o 2
18.2%
a 1
 
9.1%
f 1
 
9.1%
u 1
 
9.1%
r 1
 
9.1%
e 1
 
9.1%
n 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
Y 2
22.2%
B 2
22.2%
A 1
11.1%
D 1
11.1%
E 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 161
93.6%
. 11
 
6.4%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Close Punctuation
ValueCountFrequency (%)
) 290
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4345
52.9%
Common 3847
46.8%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 466
 
10.7%
주 425
 
9.8%
시 365
 
8.4%
로 332
 
7.6%
동 310
 
7.1%
층 175
 
4.0%
길 164
 
3.8%
번 145
 
3.3%
대 114
 
2.6%
남 84
 
1.9%
Other values (186) 1765
40.6%
Common
ValueCountFrequency (%)
1470
38.2%
1 381
 
9.9%
) 290
 
7.5%
( 289
 
7.5%
2 243
 
6.3%
, 161
 
4.2%
3 156
 
4.1%
0 139
 
3.6%
5 137
 
3.6%
4 110
 
2.9%
Other values (8) 471
 
12.2%
Latin
ValueCountFrequency (%)
s 3
15.0%
o 2
10.0%
C 2
10.0%
Y 2
10.0%
B 2
10.0%
a 1
 
5.0%
A 1
 
5.0%
D 1
 
5.0%
E 1
 
5.0%
f 1
 
5.0%
Other values (4) 4
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4344
52.9%
ASCII 3867
47.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1470
38.0%
1 381
 
9.9%
) 290
 
7.5%
( 289
 
7.5%
2 243
 
6.3%
, 161
 
4.2%
3 156
 
4.0%
0 139
 
3.6%
5 137
 
3.5%
4 110
 
2.8%
Other values (22) 491
 
12.7%
Hangul
ValueCountFrequency (%)
진 466
 
10.7%
주 425
 
9.8%
시 365
 
8.4%
로 332
 
7.6%
동 310
 
7.1%
층 175
 
4.0%
길 164
 
3.8%
번 145
 
3.3%
대 114
 
2.6%
남 84
 
1.9%
Other values (185) 1764
40.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct146
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54436.939
Minimum52604
Maximum660300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T09:26:52.800225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52604
5-th percentile52619.6
Q152694
median52732
Q352827
95-th percentile52852
Maximum660300
Range607696
Interquartile range (IQR)133

Descriptive statistics

Standard deviation32065.639
Coefficient of variation (CV)0.58904192
Kurtosis358.99592
Mean54436.939
Median Absolute Deviation (MAD)68
Skewness18.947134
Sum19542861
Variance1.0282052 × 109
MonotonicityNot monotonic
2023-12-11T09:26:52.963746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52845 24
 
6.7%
52701 13
 
3.6%
52852 12
 
3.3%
52703 10
 
2.8%
52827 9
 
2.5%
52650 9
 
2.5%
52734 8
 
2.2%
52702 8
 
2.2%
52851 7
 
1.9%
52694 7
 
1.9%
Other values (136) 252
70.2%
ValueCountFrequency (%)
52604 1
 
0.3%
52605 1
 
0.3%
52607 4
1.1%
52611 1
 
0.3%
52612 4
1.1%
52615 4
1.1%
52616 3
0.8%
52620 3
0.8%
52621 1
 
0.3%
52622 1
 
0.3%
ValueCountFrequency (%)
660300 1
 
0.3%
52859 1
 
0.3%
52858 1
 
0.3%
52857 1
 
0.3%
52856 1
 
0.3%
52854 2
 
0.6%
52852 12
3.3%
52851 7
1.9%
52850 2
 
0.6%
52849 5
1.4%

행정동명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
평거동
48 
천전동
38 
충무공동
31 
정촌면
25 
가호동
24 
Other values (26)
193 

Length

Max length4
Median length3
Mean length3.1058496
Min length3

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row이반성면
2nd row상평동
3rd row충무공동
4th row성북동
5th row가호동

Common Values

ValueCountFrequency (%)
평거동 48
13.4%
천전동 38
 
10.6%
충무공동 31
 
8.6%
정촌면 25
 
7.0%
가호동 24
 
6.7%
하대동 19
 
5.3%
초장동 18
 
5.0%
신안동 15
 
4.2%
문산읍 15
 
4.2%
성북동 13
 
3.6%
Other values (21) 113
31.5%

Length

2023-12-11T09:26:53.094220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평거동 48
13.4%
천전동 38
 
10.6%
충무공동 31
 
8.6%
정촌면 25
 
7.0%
가호동 24
 
6.7%
하대동 19
 
5.3%
초장동 18
 
5.0%
신안동 15
 
4.2%
문산읍 15
 
4.2%
성북동 13
 
3.6%
Other values (21) 113
31.5%

Interactions

2023-12-11T09:26:50.211098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:49.902953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:50.311141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:50.106264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:26:53.191368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명우편번호행정동명
연번1.0000.3050.0000.419
업종명0.3051.0000.0000.408
우편번호0.0000.0001.0000.766
행정동명0.4190.4080.7661.000
2023-12-11T09:26:53.320992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명업종명
행정동명1.0000.213
업종명0.2131.000
2023-12-11T09:26:53.414100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호업종명행정동명
연번1.0000.1540.1850.155
우편번호0.1541.0000.0000.645
업종명0.1850.0001.0000.213
행정동명0.1550.6450.2131.000

Missing values

2023-12-11T09:26:50.453537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:26:50.560533image/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

연번업종명업소명소재지(도로명)우편번호행정동명
01집단급식소(주)디티알(DTR)진주시 이반성면 진마대로2498번길 1152615이반성면
12집단급식소(주)신흥진주시 대신로 150 (상평동)52802상평동
23일반음식점(주)엠비씨컨벤션진주진주시 동진로 415 (진주종합운동장)52830충무공동
34집단급식소(주)이마트진주점 급식소진주시 진양호로 477 (인사동)52686성북동
45일반음식점(주)제이엠드림스 미스터피자경상대점진주시 진주대로 502 (가좌동,(2층)52827가호동
56집단급식소한화호텔앤드리조트(부)진주갤러리아백화점 직원식당진주시 진주대로 1095 갤러리아백화점 진주점(평안동,(지하2층))52683중앙동
67집단급식소stx(주)홈플러스 진주점 급식소진주시 대신로 304 (상대동,외4필지3층)52775상대동
78일반음식점미스터비나가사끼짬뽕진주시 내동면 순환로378번길 2 (1층)52849내동면
89집단급식소LH어린이집진주시 충의로 19 (충무공동)52852충무공동
910집단급식소가람초등학교진주시 남강로959번길 22 (상평동)52808상평동
연번업종명업소명소재지(도로명)우편번호행정동명
349350일반음식점풍양조갈비경상남도 진주시 초전북로 68_ 1층 (초전동)52734초전동
350351일반음식점가얏골감자탕경상남도 진주시 진양호로 489_ 2층 (인사동)52685인사동
351352일반음식점낙원갈비집 진주혁신점경상남도 진주시 충의로 20-33_ 1층 (충무공동)52852충무공동
352353집단급식소(주)한솔경상남도 진주시 정촌면 산업로111번길 2952845정촌면
353354집단급식소주식회사 더식탁(케이엠씨 진주공장)경상남도 진주시 정촌면 산단중앙로 8652845정촌면
354355일반음식점다인돼지국밥경상남도 진주시 초전북로52번길 13_ 1층 (초전동)52734초전동
355356집단급식소에프엔에스(사랑채애 정촌댁)경상남도 진주시 정촌면 삼일로95번길 50-35_ 1층52845정촌면
356357일반음식점주식회사 비케이알(버거킹 진주 하대점)경상남도 진주시 대신로 345_ 1_2층 (하대동)52761하대동
357358일반음식점만수채경상남도 진주시 충의로 20-21_ 2층 (충무공동)52852충무공동
358359일반음식점주식회사 에스피삼립 진주휴게소경상남도 진주시 남해고속도로 194_ 진주휴게소 (호탄동)52825호탄동