Overview

Dataset statistics

Number of variables8
Number of observations377
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory67.4 B

Variable types

Numeric3
Categorical1
Text4

Dataset

Description김해시 폐기물 재활용업체 현황에 대한 자료로 업종, 업소명, 등록일, 폐기물종류, 주소 등에 대한 데이터로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033433

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:15:02.098887
Analysis finished2024-03-13 00:15:03.545824
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct377
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189
Minimum1
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-03-13T09:15:03.611407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.8
Q195
median189
Q3283
95-th percentile358.2
Maximum377
Range376
Interquartile range (IQR)188

Descriptive statistics

Standard deviation108.97477
Coefficient of variation (CV)0.57658607
Kurtosis-1.2
Mean189
Median Absolute Deviation (MAD)94
Skewness0
Sum71253
Variance11875.5
MonotonicityStrictly increasing
2024-03-13T09:15:03.731241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
Other values (367) 367
97.3%
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 (%)
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐기물종합재활용업
249 
폐기물중간재활용업
117 
폐기물최종재활용업
 
11

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐기물종합재활용업 249
66.0%
폐기물중간재활용업 117
31.0%
폐기물최종재활용업 11
 
2.9%

Length

2024-03-13T09:15:03.846428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:15:03.937015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물종합재활용업 249
66.0%
폐기물중간재활용업 117
31.0%
폐기물최종재활용업 11
 
2.9%

업소명
Text

Distinct360
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-13T09:15:04.122042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length6.3076923
Min length2

Characters and Unicode

Total characters2378
Distinct characters271
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

Unique343 ?
Unique (%)91.0%

Sample

1st row대한민국상이군경회 김해사업소
2nd row해성메탈㈜
3rd row㈜일진건설환경(구 일성에너지㈜)
4th row하동수지
5th row영진산업
ValueCountFrequency (%)
주식회사 5
 
1.2%
농업회사법인 4
 
0.9%
김해공장 3
 
0.7%
김해지점 3
 
0.7%
일성에너지㈜ 3
 
0.7%
㈜우성메탈 2
 
0.5%
다올산업 2
 
0.5%
경성산업 2
 
0.5%
㈜개원산업 2
 
0.5%
꿈뜰팜 2
 
0.5%
Other values (382) 401
93.5%
2024-03-13T09:15:04.397646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 193
 
8.1%
업 99
 
4.2%
산 86
 
3.6%
이 62
 
2.6%
지 62
 
2.6%
경 55
 
2.3%
52
 
2.2%
대 48
 
2.0%
성 44
 
1.9%
사 43
 
1.8%
Other values (261) 1634
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2007
84.4%
Other Symbol 193
 
8.1%
Space Separator 52
 
2.2%
Open Punctuation 35
 
1.5%
Close Punctuation 34
 
1.4%
Other Punctuation 20
 
0.8%
Uppercase Letter 18
 
0.8%
Decimal Number 16
 
0.7%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 99
 
4.9%
산 86
 
4.3%
이 62
 
3.1%
지 62
 
3.1%
경 55
 
2.7%
대 48
 
2.4%
성 44
 
2.2%
사 43
 
2.1%
원 41
 
2.0%
수 39
 
1.9%
Other values (232) 1428
71.2%
Uppercase Letter
ValueCountFrequency (%)
D 2
11.1%
E 2
11.1%
J 2
11.1%
K 2
11.1%
H 1
 
5.6%
S 1
 
5.6%
W 1
 
5.6%
O 1
 
5.6%
G 1
 
5.6%
B 1
 
5.6%
Other values (4) 4
22.2%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
0 2
 
12.5%
3 1
 
6.2%
9 1
 
6.2%
7 1
 
6.2%
6 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 16
80.0%
, 3
 
15.0%
& 1
 
5.0%
Other Symbol
ValueCountFrequency (%)
㈜ 193
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2200
92.5%
Common 160
 
6.7%
Latin 18
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 193
 
8.8%
업 99
 
4.5%
산 86
 
3.9%
이 62
 
2.8%
지 62
 
2.8%
경 55
 
2.5%
대 48
 
2.2%
성 44
 
2.0%
사 43
 
2.0%
원 41
 
1.9%
Other values (233) 1467
66.7%
Common
ValueCountFrequency (%)
52
32.5%
( 35
21.9%
) 34
21.2%
. 16
 
10.0%
2 6
 
3.8%
1 4
 
2.5%
- 3
 
1.9%
, 3
 
1.9%
0 2
 
1.2%
3 1
 
0.6%
Other values (4) 4
 
2.5%
Latin
ValueCountFrequency (%)
D 2
11.1%
E 2
11.1%
J 2
11.1%
K 2
11.1%
H 1
 
5.6%
S 1
 
5.6%
W 1
 
5.6%
O 1
 
5.6%
G 1
 
5.6%
B 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2007
84.4%
None 193
 
8.1%
ASCII 178
 
7.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 193
100.0%
Hangul
ValueCountFrequency (%)
업 99
 
4.9%
산 86
 
4.3%
이 62
 
3.1%
지 62
 
3.1%
경 55
 
2.7%
대 48
 
2.4%
성 44
 
2.2%
사 43
 
2.1%
원 41
 
2.0%
수 39
 
1.9%
Other values (232) 1428
71.2%
ASCII
ValueCountFrequency (%)
52
29.2%
( 35
19.7%
) 34
19.1%
. 16
 
9.0%
2 6
 
3.4%
1 4
 
2.2%
- 3
 
1.7%
, 3
 
1.7%
D 2
 
1.1%
0 2
 
1.1%
Other values (18) 21
11.8%

등록일자
Text

Distinct342
Distinct (%)91.0%
Missing1
Missing (%)0.3%
Memory size3.1 KiB
2024-03-13T09:15:04.579630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length10
Mean length10.292553
Min length10

Characters and Unicode

Total characters3870
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)83.0%

Sample

1st row1999-12-28
2nd row2000-06-09
3rd row2000-07-13
4th row2001-10-22
5th row2001-12-14
ValueCountFrequency (%)
2016-03-10 4
 
1.1%
2020-08-03 3
 
0.8%
2014-07-09 3
 
0.8%
2022-09-13 2
 
0.5%
2017-03-14 2
 
0.5%
2000-07-22 2
 
0.5%
2015-09-11 2
 
0.5%
2015-04-30 2
 
0.5%
2021-07-22 2
 
0.5%
2021-07-02 2
 
0.5%
Other values (336) 356
93.7%
2024-03-13T09:15:04.877635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 985
25.5%
- 764
19.7%
2 750
19.4%
1 569
14.7%
9 169
 
4.4%
3 135
 
3.5%
7 109
 
2.8%
4 94
 
2.4%
6 85
 
2.2%
5 81
 
2.1%
Other values (11) 129
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3056
79.0%
Dash Punctuation 764
 
19.7%
Other Letter 20
 
0.5%
Open Punctuation 11
 
0.3%
Close Punctuation 11
 
0.3%
Other Punctuation 4
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 985
32.2%
2 750
24.5%
1 569
18.6%
9 169
 
5.5%
3 135
 
4.4%
7 109
 
3.6%
4 94
 
3.1%
6 85
 
2.8%
5 81
 
2.7%
8 79
 
2.6%
Other Letter
ValueCountFrequency (%)
변 5
25.0%
경 5
25.0%
최 4
20.0%
초 4
20.0%
허 1
 
5.0%
가 1
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 764
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3850
99.5%
Hangul 20
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 985
25.6%
- 764
19.8%
2 750
19.5%
1 569
14.8%
9 169
 
4.4%
3 135
 
3.5%
7 109
 
2.8%
4 94
 
2.4%
6 85
 
2.2%
5 81
 
2.1%
Other values (5) 109
 
2.8%
Hangul
ValueCountFrequency (%)
변 5
25.0%
경 5
25.0%
최 4
20.0%
초 4
20.0%
허 1
 
5.0%
가 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3850
99.5%
Hangul 20
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 985
25.6%
- 764
19.8%
2 750
19.5%
1 569
14.8%
9 169
 
4.4%
3 135
 
3.5%
7 109
 
2.8%
4 94
 
2.4%
6 85
 
2.2%
5 81
 
2.1%
Other values (5) 109
 
2.8%
Hangul
ValueCountFrequency (%)
변 5
25.0%
경 5
25.0%
최 4
20.0%
초 4
20.0%
허 1
 
5.0%
가 1
 
5.0%

폐기물종류
Text

Distinct280
Distinct (%)74.9%
Missing3
Missing (%)0.8%
Memory size3.1 KiB
2024-03-13T09:15:05.077604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length312
Median length116
Mean length31.724599
Min length3

Characters and Unicode

Total characters11865
Distinct characters251
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

Unique249 ?
Unique (%)66.6%

Sample

1st row폐전선, 폐케이블
2nd row폐사, 절단슬래그, 스케일, 광재, 주물사, 소각잔재물, 폐내화물, 쇼트분진, 오니, 분진, 폐흡착제, 폐석고
3rd row폐합성고분자화합물중 폐합성수지류,폐합성고무류 외, 폐섬유류, 폐목재류
4th row폐플라스틱류(PVC, PP, PC, ABS, HIPS)
5th row폐플라스틱류(PVC)
ValueCountFrequency (%)
그 193
 
12.3%
밖의 192
 
12.2%
폐합성수지류 45
 
2.9%
폐합성수지류(51-03-01 36
 
2.3%
폐합성수지 35
 
2.2%
폐수처리오니 26
 
1.7%
분진 25
 
1.6%
pe 21
 
1.3%
abs 21
 
1.3%
폐금속류 18
 
1.1%
Other values (422) 960
61.1%
2024-03-13T09:15:05.410042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1202
 
10.1%
, 697
 
5.9%
폐 680
 
5.7%
- 588
 
5.0%
0 488
 
4.1%
1 471
 
4.0%
( 426
 
3.6%
) 424
 
3.6%
성 330
 
2.8%
합 303
 
2.6%
Other values (241) 6256
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6329
53.3%
Decimal Number 1831
 
15.4%
Space Separator 1202
 
10.1%
Other Punctuation 719
 
6.1%
Dash Punctuation 588
 
5.0%
Open Punctuation 431
 
3.6%
Close Punctuation 429
 
3.6%
Uppercase Letter 324
 
2.7%
Math Symbol 8
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 680
 
10.7%
성 330
 
5.2%
합 303
 
4.8%
수 291
 
4.6%
류 262
 
4.1%
지 226
 
3.6%
그 224
 
3.5%
의 221
 
3.5%
밖 211
 
3.3%
오 205
 
3.2%
Other values (194) 3376
53.3%
Uppercase Letter
ValueCountFrequency (%)
P 146
45.1%
E 44
 
13.6%
S 34
 
10.5%
A 28
 
8.6%
B 24
 
7.4%
C 13
 
4.0%
V 10
 
3.1%
T 6
 
1.9%
R 4
 
1.2%
L 3
 
0.9%
Other values (8) 12
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 488
26.7%
1 471
25.7%
5 292
15.9%
2 162
 
8.8%
9 129
 
7.0%
3 114
 
6.2%
4 72
 
3.9%
7 47
 
2.6%
8 30
 
1.6%
6 26
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 697
96.9%
. 10
 
1.4%
: 5
 
0.7%
· 3
 
0.4%
% 2
 
0.3%
※ 1
 
0.1%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 6
75.0%
= 1
 
12.5%
+ 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 426
98.8%
[ 5
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 424
98.8%
] 5
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
1202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 588
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6330
53.4%
Common 5208
43.9%
Latin 327
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 680
 
10.7%
성 330
 
5.2%
합 303
 
4.8%
수 291
 
4.6%
류 262
 
4.1%
지 226
 
3.6%
그 224
 
3.5%
의 221
 
3.5%
밖 211
 
3.3%
오 205
 
3.2%
Other values (195) 3377
53.3%
Common
ValueCountFrequency (%)
1202
23.1%
, 697
13.4%
- 588
11.3%
0 488
9.4%
1 471
 
9.0%
( 426
 
8.2%
) 424
 
8.1%
5 292
 
5.6%
2 162
 
3.1%
9 129
 
2.5%
Other values (16) 329
 
6.3%
Latin
ValueCountFrequency (%)
P 146
44.6%
E 44
 
13.5%
S 34
 
10.4%
A 28
 
8.6%
B 24
 
7.3%
C 13
 
4.0%
V 10
 
3.1%
T 6
 
1.8%
R 4
 
1.2%
L 3
 
0.9%
Other values (10) 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6329
53.3%
ASCII 5531
46.6%
None 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1202
21.7%
, 697
12.6%
- 588
10.6%
0 488
8.8%
1 471
 
8.5%
( 426
 
7.7%
) 424
 
7.7%
5 292
 
5.3%
2 162
 
2.9%
P 146
 
2.6%
Other values (34) 635
11.5%
Hangul
ValueCountFrequency (%)
폐 680
 
10.7%
성 330
 
5.2%
합 303
 
4.8%
수 291
 
4.6%
류 262
 
4.1%
지 226
 
3.6%
그 224
 
3.5%
의 221
 
3.5%
밖 211
 
3.3%
오 205
 
3.2%
Other values (194) 3376
53.3%
None
ValueCountFrequency (%)
· 3
75.0%
㈜ 1
 
25.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

주소
Text

Distinct360
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-13T09:15:05.619630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length38
Mean length24.970822
Min length16

Characters and Unicode

Total characters9414
Distinct characters124
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

Unique344 ?
Unique (%)91.2%

Sample

1st row경상남도 김해시 주촌면 서부로 1403번길 23-28
2nd row경상남도 김해시 상동면 상동로 275-13
3rd row경상남도 김해시 한림면 김해대로 1031번길 49
4th row경상남도 김해시 생림면 안양로 283
5th row경상남도 김해시 상동면 상동로197번길 34-24
ValueCountFrequency (%)
경상남도 377
18.9%
김해시 377
18.9%
한림면 142
 
7.1%
생림면 56
 
2.8%
주촌면 49
 
2.5%
상동면 38
 
1.9%
진례면 36
 
1.8%
김해대로 35
 
1.8%
진영읍 28
 
1.4%
서부로 26
 
1.3%
Other values (508) 831
41.7%
2024-03-13T09:15:05.924913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1628
 
17.3%
김 442
 
4.7%
해 442
 
4.7%
상 434
 
4.6%
1 420
 
4.5%
시 380
 
4.0%
경 377
 
4.0%
남 377
 
4.0%
도 377
 
4.0%
로 345
 
3.7%
Other values (114) 4192
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5442
57.8%
Decimal Number 2067
 
22.0%
Space Separator 1628
 
17.3%
Dash Punctuation 217
 
2.3%
Other Punctuation 24
 
0.3%
Close Punctuation 15
 
0.2%
Open Punctuation 15
 
0.2%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 442
 
8.1%
해 442
 
8.1%
상 434
 
8.0%
시 380
 
7.0%
경 377
 
6.9%
남 377
 
6.9%
도 377
 
6.9%
로 345
 
6.3%
면 322
 
5.9%
림 229
 
4.2%
Other values (95) 1717
31.6%
Decimal Number
ValueCountFrequency (%)
1 420
20.3%
2 282
13.6%
3 231
11.2%
4 203
9.8%
5 201
9.7%
9 174
8.4%
6 165
 
8.0%
7 136
 
6.6%
8 128
 
6.2%
0 127
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
B 2
33.3%
C 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 19
79.2%
: 5
 
20.8%
Space Separator
ValueCountFrequency (%)
1628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5442
57.8%
Common 3966
42.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 442
 
8.1%
해 442
 
8.1%
상 434
 
8.0%
시 380
 
7.0%
경 377
 
6.9%
남 377
 
6.9%
도 377
 
6.9%
로 345
 
6.3%
면 322
 
5.9%
림 229
 
4.2%
Other values (95) 1717
31.6%
Common
ValueCountFrequency (%)
1628
41.0%
1 420
 
10.6%
2 282
 
7.1%
3 231
 
5.8%
- 217
 
5.5%
4 203
 
5.1%
5 201
 
5.1%
9 174
 
4.4%
6 165
 
4.2%
7 136
 
3.4%
Other values (6) 309
 
7.8%
Latin
ValueCountFrequency (%)
A 3
50.0%
B 2
33.3%
C 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5442
57.8%
ASCII 3972
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1628
41.0%
1 420
 
10.6%
2 282
 
7.1%
3 231
 
5.8%
- 217
 
5.5%
4 203
 
5.1%
5 201
 
5.1%
9 174
 
4.4%
6 165
 
4.2%
7 136
 
3.4%
Other values (9) 315
 
7.9%
Hangul
ValueCountFrequency (%)
김 442
 
8.1%
해 442
 
8.1%
상 434
 
8.0%
시 380
 
7.0%
경 377
 
6.9%
남 377
 
6.9%
도 377
 
6.9%
로 345
 
6.3%
면 322
 
5.9%
림 229
 
4.2%
Other values (95) 1717
31.6%

위도
Real number (ℝ)

Distinct349
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.289889
Minimum35.166576
Maximum35.378072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-03-13T09:15:06.046014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.166576
5-th percentile35.22571
Q135.261101
median35.298641
Q335.317071
95-th percentile35.348616
Maximum35.378072
Range0.21149588
Interquartile range (IQR)0.05596997

Descriptive statistics

Standard deviation0.039980624
Coefficient of variation (CV)0.0011329201
Kurtosis-0.30125391
Mean35.289889
Median Absolute Deviation (MAD)0.02244927
Skewness-0.2860442
Sum13304.288
Variance0.0015984503
MonotonicityNot monotonic
2024-03-13T09:15:06.161966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.31563587 3
 
0.8%
35.25671026 2
 
0.5%
35.24573161 2
 
0.5%
35.26924766 2
 
0.5%
35.30683824 2
 
0.5%
35.27619184 2
 
0.5%
35.24603239 2
 
0.5%
35.23035092 2
 
0.5%
35.23580371 2
 
0.5%
35.32662173 2
 
0.5%
Other values (339) 356
94.4%
ValueCountFrequency (%)
35.16657597 1
0.3%
35.18459829 1
0.3%
35.18731107 1
0.3%
35.19903162 1
0.3%
35.20906061 1
0.3%
35.20979715 1
0.3%
35.20995121 1
0.3%
35.21062502 1
0.3%
35.21855979 1
0.3%
35.21870739 1
0.3%
ValueCountFrequency (%)
35.37807185 1
0.3%
35.375558 1
0.3%
35.37534183 1
0.3%
35.3749089 1
0.3%
35.37433666 1
0.3%
35.37421205 1
0.3%
35.37417037 1
0.3%
35.37398056 1
0.3%
35.37382171 1
0.3%
35.37369194 1
0.3%

경도
Real number (ℝ)

Distinct349
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.82194
Minimum128.72033
Maximum128.98097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-03-13T09:15:06.317500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.72033
5-th percentile128.75328
Q1128.78166
median128.8163
Q3128.84764
95-th percentile128.91127
Maximum128.98097
Range0.2606343
Interquartile range (IQR)0.0659817

Descriptive statistics

Standard deviation0.048922249
Coefficient of variation (CV)0.00037976644
Kurtosis-0.1138679
Mean128.82194
Median Absolute Deviation (MAD)0.033529
Skewness0.56235646
Sum48565.871
Variance0.0023933864
MonotonicityNot monotonic
2024-03-13T09:15:06.463732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7513806 3
 
0.8%
128.7783171 2
 
0.5%
128.8471357 2
 
0.5%
128.8285833 2
 
0.5%
128.7903788 2
 
0.5%
128.8238281 2
 
0.5%
128.8442906 2
 
0.5%
128.8188579 2
 
0.5%
128.8124001 2
 
0.5%
128.7675006 2
 
0.5%
Other values (339) 356
94.4%
ValueCountFrequency (%)
128.7203312 1
0.3%
128.7260941 1
0.3%
128.7462285 1
0.3%
128.7469079 2
0.5%
128.7471648 1
0.3%
128.747191 1
0.3%
128.7499423 1
0.3%
128.7506 1
0.3%
128.7506229 2
0.5%
128.7511244 1
0.3%
ValueCountFrequency (%)
128.9809655 1
0.3%
128.9602039 1
0.3%
128.9600325 1
0.3%
128.9597425 1
0.3%
128.957467 1
0.3%
128.9441401 1
0.3%
128.9294396 1
0.3%
128.9206357 1
0.3%
128.9198103 1
0.3%
128.918996 1
0.3%

Interactions

2024-03-13T09:15:03.118187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:02.459779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:02.901085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:03.187370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:02.731005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:02.993165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:03.247781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:02.811950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:15:03.056734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:15:06.533654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종위도경도
연번1.0000.8550.1710.171
업종0.8551.0000.0000.135
위도0.1710.0001.0000.661
경도0.1710.1350.6611.000
2024-03-13T09:15:06.603606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업종
연번1.000-0.016-0.0590.768
위도-0.0161.000-0.0010.000
경도-0.059-0.0011.0000.091
업종0.7680.0000.0911.000

Missing values

2024-03-13T09:15:03.331531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:15:03.423685image/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.
2024-03-13T09:15:03.503585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업종업소명등록일자폐기물종류주소위도경도
01폐기물중간재활용업대한민국상이군경회 김해사업소1999-12-28폐전선, 폐케이블경상남도 김해시 주촌면 서부로 1403번길 23-2835.225809128.814957
12폐기물중간재활용업해성메탈㈜2000-06-09폐사, 절단슬래그, 스케일, 광재, 주물사, 소각잔재물, 폐내화물, 쇼트분진, 오니, 분진, 폐흡착제, 폐석고경상남도 김해시 상동면 상동로 275-1335.303837128.901624
23폐기물중간재활용업㈜일진건설환경(구 일성에너지㈜)2000-07-13폐합성고분자화합물중 폐합성수지류,폐합성고무류 외, 폐섬유류, 폐목재류경상남도 김해시 한림면 김해대로 1031번길 4935.297803128.797102
34폐기물중간재활용업하동수지2001-10-22폐플라스틱류(PVC, PP, PC, ABS, HIPS)경상남도 김해시 생림면 안양로 28335.37417128.846064
45폐기물중간재활용업영진산업2001-12-14폐플라스틱류(PVC)경상남도 김해시 상동면 상동로197번길 34-2435.303617128.893304
56폐기물중간재활용업이레산업2001-12-22폐플라스틱류경상남도 김해시 생림면 안양로 283-135.373981128.846101
67폐기물중간재활용업성보산업2002-05-16폐합성수지, 폐합성고무경상남도 김해시 분성로 557번길 59(어방동)35.241064128.905795
78폐기물중간재활용업신일자원㈜2003-01-20폐합성수지, 폐합성고무, 폐섬유, 폐피혁, 폐목재경상남도 김해시 한림면 가동로 7435.327385128.764535
89폐기물중간재활용업학산금속공업㈜2003-05-29폐전선, 폐케이블, 폐통신케이블, 폐몰드, 폐애자, 폐합성수지(폐몰드류(PE, PP), 폐피복전선류(PE))경상남도 김해시 생림면 장재로 520번길 8-6935.320759128.846985
910폐기물중간재활용업수한기업2003-11-04그 밖의 폐합성고분자화합물(알루미늄 폐전선), 그 밖의 공정오니(철스케일, 분철, 슬러그, 산화철)경상남도 김해시 진영읍 본산로 212번길 3835.315636128.751381
연번업종업소명등록일자폐기물종류주소위도경도
367368폐기물종합재활용업㈜엘케이산업2021-07-22폐수처리오니, 그 밖의 공정오니, 그 밖의 광재류, 그 밖의 분진, 폐석고경상남도 김해시 한림면 신천리 309-235.273224128.840744
368369폐기물종합재활용업EK상사2014-03-28그 밖의 폐합성고분자화합물경상남도 김해시 안동 539-1835.22701128.914863
369370폐기물종합재활용업㈜대림웨이트2023-07-24그 밖의 공정오니 중간가공폐기물(산화철, 스케일, 분철), 그 밖의 광재류(51-04-99) 중간가공폐기물(산화철, 스케일, 분철), 그 밖의 분진경상남도 김해시 한림면 김해대로 1192-2635.29118128.810172
370371폐기물종합재활용업사회복지법인 행복한 오늘2010-01-13폐케이블류경상남도 김해시 생림면 장재로 520번길 8-7135.321236128.846422
371372폐기물종합재활용업대금자원2023-08-18폐분말소화기, 폐소화기류경상남도 김해시 한림면 안하리 126235.32268128.820627
372373폐기물종합재활용업㈜대아솔루션2023-09-20폐폴리우레탄폼류경상남도 김해시 진례면 송현로177번길 43-2435.250408128.765875
373374폐기물종합재활용업삼정㈜2017-09-18폐합성고분자화합물(폐합성수지, 폐합성고무류, 폐폴리우레탄폼류, 양식용폐부자, 폐발포합성수지, 플라스틱폐포장재, 폐어망), 그 밖의 폐금속류경상남도 김해시 한림면 한림로 93535.333618128.757819
374375폐기물종합재활용업㈜미래로2023-02-02폐합성수지류경상남도 김해시 한림면 가산로 7235.323992128.757927
375376폐기물종합재활용업㈜문성리솔텍2023-11-15폐합성수지류(51-03-01), 폐합성수지(04-02-07), 폐합성고무류(51-03-02), 그밖의 폐섬유(51-27-99), 그밖의 폐목재류(51-20-99)경상남도 김해시 주촌면 김해대로1538번길 125-5835.269677128.845775
376377폐기물종합재활용업대한민국특수임무유공자회2017-09-29그 밖의 폐합성고분자화합물(일반 폐전선)경상남도 김해시 진영읍 서부로 275-3235.273357128.764152