Overview

Dataset statistics

Number of variables7
Number of observations350
Missing cells39
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description광주광역시 북구 음식물류폐기물 다량배출사업장 정보에 대한 데이터로 상호, 사업장 전화번호, 사업장 도로명주소, 사업장구분, 년배출량의 항목을 제공합니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/15099500/fileData.do

Alerts

데이터기준일 has constant value ""Constant
사업장전화번호 has 39 (11.1%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:43:03.746502
Analysis finished2024-04-06 08:43:06.580293
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct350
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.5
Minimum1
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-06T17:43:06.837606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.45
Q188.25
median175.5
Q3262.75
95-th percentile332.55
Maximum350
Range349
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation101.18053
Coefficient of variation (CV)0.57652725
Kurtosis-1.2
Mean175.5
Median Absolute Deviation (MAD)87.5
Skewness0
Sum61425
Variance10237.5
MonotonicityStrictly increasing
2024-04-06T17:43:07.387567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
232 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
Other values (340) 340
97.1%
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 (%)
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%

상호
Text

UNIQUE 

Distinct350
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-06T17:43:08.210618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length7.4
Min length2

Characters and Unicode

Total characters2590
Distinct characters392
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)100.0%

Sample

1st row(유)달빛바다
2nd row(유)무등골
3rd row(유)아웃백스테이크하우스코리아
4th row(재)케이티그룹희망나눔재단북광주점
5th row(주)비케이알
ValueCountFrequency (%)
주식회사 3
 
0.8%
용봉점 2
 
0.5%
유)달빛바다 1
 
0.3%
월드케이터링 1
 
0.3%
원도요양병원 1
 
0.3%
운암한방병원 1
 
0.3%
운암튼튼병원 1
 
0.3%
운암중학교 1
 
0.3%
운암유치원 1
 
0.3%
우산중학교 1
 
0.3%
Other values (380) 380
96.7%
2024-04-06T17:43:09.375582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 88
 
3.4%
교 84
 
3.2%
주 76
 
2.9%
원 64
 
2.5%
등 57
 
2.2%
( 56
 
2.2%
) 56
 
2.2%
점 54
 
2.1%
초 52
 
2.0%
한 51
 
2.0%
Other values (382) 1952
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2401
92.7%
Open Punctuation 56
 
2.2%
Close Punctuation 56
 
2.2%
Space Separator 43
 
1.7%
Decimal Number 16
 
0.6%
Uppercase Letter 11
 
0.4%
Other Symbol 4
 
0.2%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 88
 
3.7%
교 84
 
3.5%
주 76
 
3.2%
원 64
 
2.7%
등 57
 
2.4%
점 54
 
2.2%
초 52
 
2.2%
한 51
 
2.1%
광 51
 
2.1%
병 44
 
1.8%
Other values (364) 1780
74.1%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
2 4
25.0%
4 2
 
12.5%
0 2
 
12.5%
9 1
 
6.2%
3 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
36.4%
D 4
36.4%
C 1
 
9.1%
F 1
 
9.1%
K 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2405
92.9%
Common 172
 
6.6%
Latin 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 88
 
3.7%
교 84
 
3.5%
주 76
 
3.2%
원 64
 
2.7%
등 57
 
2.4%
점 54
 
2.2%
초 52
 
2.2%
한 51
 
2.1%
광 51
 
2.1%
병 44
 
1.8%
Other values (365) 1784
74.2%
Common
ValueCountFrequency (%)
( 56
32.6%
) 56
32.6%
43
25.0%
1 6
 
3.5%
2 4
 
2.3%
4 2
 
1.2%
0 2
 
1.2%
- 1
 
0.6%
9 1
 
0.6%
3 1
 
0.6%
Latin
ValueCountFrequency (%)
T 4
30.8%
D 4
30.8%
c 1
 
7.7%
n 1
 
7.7%
C 1
 
7.7%
F 1
 
7.7%
K 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2401
92.7%
ASCII 185
 
7.1%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 88
 
3.7%
교 84
 
3.5%
주 76
 
3.2%
원 64
 
2.7%
등 57
 
2.4%
점 54
 
2.2%
초 52
 
2.2%
한 51
 
2.1%
광 51
 
2.1%
병 44
 
1.8%
Other values (364) 1780
74.1%
ASCII
ValueCountFrequency (%)
( 56
30.3%
) 56
30.3%
43
23.2%
1 6
 
3.2%
2 4
 
2.2%
T 4
 
2.2%
D 4
 
2.2%
4 2
 
1.1%
0 2
 
1.1%
- 1
 
0.5%
Other values (7) 7
 
3.8%
None
ValueCountFrequency (%)
㈜ 4
100.0%

사업장전화번호
Text

MISSING 

Distinct307
Distinct (%)98.7%
Missing39
Missing (%)11.1%
Memory size2.9 KiB
2024-04-06T17:43:10.033912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019293
Min length12

Characters and Unicode

Total characters3738
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

Unique303 ?
Unique (%)97.4%

Sample

1st row062-571-9290
2nd row062-268-9581
3rd row062-525-0907
4th row062-251-0332
5th row062-460-5122
ValueCountFrequency (%)
062-573-7300 2
 
0.6%
061-243-8272 2
 
0.6%
062-460-5122 2
 
0.6%
062-372-5703 2
 
0.6%
062-511-8818 1
 
0.3%
062-510-4206 1
 
0.3%
062-571-1261 1
 
0.3%
062-650-7501 1
 
0.3%
062-575-3320 1
 
0.3%
062-511-8880 1
 
0.3%
Other values (297) 297
95.5%
2024-04-06T17:43:10.971381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 681
18.2%
- 622
16.6%
2 573
15.3%
6 488
13.1%
5 345
9.2%
1 264
 
7.1%
7 240
 
6.4%
3 158
 
4.2%
8 141
 
3.8%
9 118
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3116
83.4%
Dash Punctuation 622
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 681
21.9%
2 573
18.4%
6 488
15.7%
5 345
11.1%
1 264
 
8.5%
7 240
 
7.7%
3 158
 
5.1%
8 141
 
4.5%
9 118
 
3.8%
4 108
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 622
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3738
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 681
18.2%
- 622
16.6%
2 573
15.3%
6 488
13.1%
5 345
9.2%
1 264
 
7.1%
7 240
 
6.4%
3 158
 
4.2%
8 141
 
3.8%
9 118
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3738
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 681
18.2%
- 622
16.6%
2 573
15.3%
6 488
13.1%
5 345
9.2%
1 264
 
7.1%
7 240
 
6.4%
3 158
 
4.2%
8 141
 
3.8%
9 118
 
3.2%

사업장도로명주소
Text

Distinct340
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-06T17:43:11.593221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length25.122857
Min length20

Characters and Unicode

Total characters8793
Distinct characters205
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

Unique330 ?
Unique (%)94.3%

Sample

1st row광주광역시 북구 첨단과기로208번길 17-13_ 102호 (오룡동)
2nd row광주광역시 북구 양산로 6 (양산동)
3rd row광주광역시 북구 동문대로 200_ 삼성홈플러스 (두암동)
4th row광주광역시 북구 무등로202번길 15 (신안동)
5th row광주광역시 북구 우치로 76 (중흥동)
ValueCountFrequency (%)
광주광역시 350
 
19.1%
북구 350
 
19.1%
용봉동 58
 
3.2%
운암동 38
 
2.1%
일곡동 24
 
1.3%
설죽로 23
 
1.3%
양산동 21
 
1.1%
오치동 19
 
1.0%
두암동 17
 
0.9%
매곡동 17
 
0.9%
Other values (451) 918
50.0%
2024-04-06T17:43:12.729193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1485
16.9%
광 715
 
8.1%
동 388
 
4.4%
북 374
 
4.3%
주 367
 
4.2%
) 354
 
4.0%
( 354
 
4.0%
시 352
 
4.0%
구 351
 
4.0%
역 351
 
4.0%
Other values (195) 3702
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5272
60.0%
Space Separator 1485
 
16.9%
Decimal Number 1198
 
13.6%
Close Punctuation 354
 
4.0%
Open Punctuation 354
 
4.0%
Connector Punctuation 80
 
0.9%
Dash Punctuation 46
 
0.5%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 715
 
13.6%
동 388
 
7.4%
북 374
 
7.1%
주 367
 
7.0%
시 352
 
6.7%
구 351
 
6.7%
역 351
 
6.7%
로 340
 
6.4%
길 116
 
2.2%
용 109
 
2.1%
Other values (177) 1809
34.3%
Decimal Number
ValueCountFrequency (%)
1 247
20.6%
2 164
13.7%
3 153
12.8%
5 109
9.1%
7 105
8.8%
0 103
8.6%
4 94
 
7.8%
6 83
 
6.9%
9 77
 
6.4%
8 63
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
N 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
1485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5272
60.0%
Common 3517
40.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 715
 
13.6%
동 388
 
7.4%
북 374
 
7.1%
주 367
 
7.0%
시 352
 
6.7%
구 351
 
6.7%
역 351
 
6.7%
로 340
 
6.4%
길 116
 
2.2%
용 109
 
2.1%
Other values (177) 1809
34.3%
Common
ValueCountFrequency (%)
1485
42.2%
) 354
 
10.1%
( 354
 
10.1%
1 247
 
7.0%
2 164
 
4.7%
3 153
 
4.4%
5 109
 
3.1%
7 105
 
3.0%
0 103
 
2.9%
4 94
 
2.7%
Other values (5) 349
 
9.9%
Latin
ValueCountFrequency (%)
B 2
50.0%
N 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5272
60.0%
ASCII 3521
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1485
42.2%
) 354
 
10.1%
( 354
 
10.1%
1 247
 
7.0%
2 164
 
4.7%
3 153
 
4.3%
5 109
 
3.1%
7 105
 
3.0%
0 103
 
2.9%
4 94
 
2.7%
Other values (8) 353
 
10.0%
Hangul
ValueCountFrequency (%)
광 715
 
13.6%
동 388
 
7.4%
북 374
 
7.1%
주 367
 
7.0%
시 352
 
6.7%
구 351
 
6.7%
역 351
 
6.7%
로 340
 
6.4%
길 116
 
2.2%
용 109
 
2.1%
Other values (177) 1809
34.3%

사업장구분
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반음식점
181 
집단급식소
161 
휴게음식점
 
8

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 181
51.7%
집단급식소 161
46.0%
휴게음식점 8
 
2.3%

Length

2024-04-06T17:43:13.065801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:43:13.465069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 181
51.7%
집단급식소 161
46.0%
휴게음식점 8
 
2.3%

년배출예상
Real number (ℝ)

Distinct86
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24807.68
Minimum17
Maximum463680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-06T17:43:13.877275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile3600
Q112000
median20700
Q328800
95-th percentile54594
Maximum463680
Range463663
Interquartile range (IQR)16800

Descriptive statistics

Standard deviation33937.425
Coefficient of variation (CV)1.3680209
Kurtosis106.95868
Mean24807.68
Median Absolute Deviation (MAD)8100
Skewness9.2408561
Sum8682688
Variance1.1517488 × 109
MonotonicityNot monotonic
2024-04-06T17:43:14.306588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36000 36
 
10.3%
18000 32
 
9.1%
14400 31
 
8.9%
21600 31
 
8.9%
28800 26
 
7.4%
25200 20
 
5.7%
10800 20
 
5.7%
24000 18
 
5.1%
12000 16
 
4.6%
7200 12
 
3.4%
Other values (76) 108
30.9%
ValueCountFrequency (%)
17 1
 
0.3%
40 1
 
0.3%
120 1
 
0.3%
600 2
0.6%
720 1
 
0.3%
1080 1
 
0.3%
1200 1
 
0.3%
1440 1
 
0.3%
1800 3
0.9%
2160 2
0.6%
ValueCountFrequency (%)
463680 1
 
0.3%
360000 1
 
0.3%
144000 1
 
0.3%
110400 1
 
0.3%
79200 1
 
0.3%
72000 7
2.0%
68400 2
 
0.6%
64800 1
 
0.3%
57600 1
 
0.3%
56880 1
 
0.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-25
350 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-25
2nd row2024-03-25
3rd row2024-03-25
4th row2024-03-25
5th row2024-03-25

Common Values

ValueCountFrequency (%)
2024-03-25 350
100.0%

Length

2024-04-06T17:43:14.762580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:43:15.143061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-25 350
100.0%

Interactions

2024-04-06T17:43:05.319394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:43:04.629631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:43:05.658070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:43:05.001590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:43:15.383467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장구분년배출예상
연번1.0000.3530.000
사업장구분0.3531.0000.043
년배출예상0.0000.0431.000
2024-04-06T17:43:15.654804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번년배출예상사업장구분
연번1.0000.0140.224
년배출예상0.0141.0000.016
사업장구분0.2240.0161.000

Missing values

2024-04-06T17:43:06.066438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:43:06.439384image/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

연번상호사업장전화번호사업장도로명주소사업장구분년배출예상데이터기준일
01(유)달빛바다<NA>광주광역시 북구 첨단과기로208번길 17-13_ 102호 (오룡동)일반음식점180002024-03-25
12(유)무등골062-571-9290광주광역시 북구 양산로 6 (양산동)일반음식점259202024-03-25
23(유)아웃백스테이크하우스코리아062-268-9581광주광역시 북구 동문대로 200_ 삼성홈플러스 (두암동)일반음식점360002024-03-25
34(재)케이티그룹희망나눔재단북광주점062-525-0907광주광역시 북구 무등로202번길 15 (신안동)집단급식소216002024-03-25
45(주)비케이알062-251-0332광주광역시 북구 우치로 76 (중흥동)휴게음식점72002024-03-25
56(주)솔향 교육대점062-460-5122광주광역시 북구 필문대로 55 (풍향동)집단급식소120002024-03-25
67(주)신미 (전남대 1학생식당)062-530-0340광주광역시 북구 용봉로 77_ 전남대학교 1학생식당 (용봉동)집단급식소792002024-03-25
78(주)신세계푸드(해태제과광주점)062-571-7551광주광역시 북구 하서로 222 (양산동)집단급식소144002024-03-25
89(주)아워홈코카콜라광주점<NA>광주광역시 북구 양일로 130 (양산동)집단급식소216002024-03-25
910(주)에이치티푸드(동강대생활관점)062-372-5703광주광역시 북구 군왕로51번길 130 (두암동)집단급식소180002024-03-25
연번상호사업장전화번호사업장도로명주소사업장구분년배출예상데이터기준일
340341행복한임금님062-266-0300광주광역시 북구 하서로672번길 58 (용전동)일반음식점120002024-03-25
341342호연한방병원062-576-1000광주광역시 북구 자동차로 72 (신안동)집단급식소360002024-03-25
342343홍인한방병원062-710-4700광주광역시 북구 동문대로 165 (두암동)집단급식소216002024-03-25
343344황금코다리광주용두점062-571-1126광주광역시 북구 하서로 513-1 (본촌동)일반음식점180002024-03-25
344345황솔촌운암점062-513-9233광주광역시 북구 북문대로 167 (운암동)일반음식점540002024-03-25
345346효경실버빌요양원062-511-3338광주광역시 북구 무등로153번길 7 (신안동)집단급식소108002024-03-25
346347효동유치원070-7775-6231광주광역시 북구 서양로93번길 26 (중흥동)집단급식소240002024-03-25
347348효드림요양병원062-512-3500광주광역시 북구 들재매길 101 (신안동)집단급식소356402024-03-25
348349흑비흑염소062-511-0800광주광역시 북구 비엔날레로 182 (용봉동)일반음식점216002024-03-25
349350힘내라정형외과병원070-4190-5188광주광역시 북구 북문대로 167_ 4_5층 (운암동)집단급식소108002024-03-25