Overview

Dataset statistics

Number of variables25
Number of observations651
Missing cells8798
Missing cells (%)54.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory134.9 KiB
Average record size in memory212.2 B

Variable types

Numeric9
DateTime2
Text10
Categorical3
Unsupported1

Dataset

Description경상남도 함안군에서 인터넷을 통해 접수된 대형폐기물(가전제품, 가구류, 침구류 등)접수내역에 관한 데이터입니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093768

Alerts

물품3(규격) is highly imbalanced (68.7%)Imbalance
물품7개수 is highly imbalanced (89.0%)Imbalance
물품10개수 is highly imbalanced (95.0%)Imbalance
물품1(규격) has 8 (1.2%) missing valuesMissing
물품1개수 has 8 (1.2%) missing valuesMissing
물품2(규격) has 394 (60.5%) missing valuesMissing
물품2개수 has 394 (60.5%) missing valuesMissing
물품3개수 has 520 (79.9%) missing valuesMissing
물품4(규격) has 587 (90.2%) missing valuesMissing
물품4개수 has 587 (90.2%) missing valuesMissing
물품5(규격) has 613 (94.2%) missing valuesMissing
물품5개수 has 613 (94.2%) missing valuesMissing
물품6(규격) has 621 (95.4%) missing valuesMissing
물품6개수 has 621 (95.4%) missing valuesMissing
물품7(규격) has 628 (96.5%) missing valuesMissing
물품8(규격) has 635 (97.5%) missing valuesMissing
물품8개수 has 635 (97.5%) missing valuesMissing
물품9(규격) has 640 (98.3%) missing valuesMissing
물품9개수 has 651 (100.0%) missing valuesMissing
물품10(규격) has 643 (98.8%) missing valuesMissing
번호 has unique valuesUnique
신고일 has unique valuesUnique
물품9개수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:31:31.371606
Analysis finished2023-12-10 23:31:31.971370
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct651
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326
Minimum1
Maximum651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:32.031462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.5
Q1163.5
median326
Q3488.5
95-th percentile618.5
Maximum651
Range650
Interquartile range (IQR)325

Descriptive statistics

Standard deviation188.07179
Coefficient of variation (CV)0.57690735
Kurtosis-1.2
Mean326
Median Absolute Deviation (MAD)163
Skewness0
Sum212226
Variance35371
MonotonicityStrictly increasing
2023-12-11T08:31:32.175541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
449 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
437 1
 
0.2%
438 1
 
0.2%
Other values (641) 641
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
651 1
0.2%
650 1
0.2%
649 1
0.2%
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%
644 1
0.2%
643 1
0.2%
642 1
0.2%

신고일
Date

UNIQUE 

Distinct651
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2021-12-28 15:25:00
Maximum2022-11-30 12:46:00
2023-12-11T08:31:32.311962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:32.444745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

배출일
Date

Distinct271
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-04 00:00:00
2023-12-11T08:31:32.563259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:32.716855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

물품개수
Real number (ℝ)

Distinct24
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9800307
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:32.868380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8.5
Maximum98
Range97
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.2944103
Coefficient of variation (CV)2.1121964
Kurtosis118.63712
Mean2.9800307
Median Absolute Deviation (MAD)0
Skewness9.640116
Sum1940
Variance39.619601
MonotonicityNot monotonic
2023-12-11T08:31:33.010547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 329
50.5%
2 136
20.9%
3 69
 
10.6%
4 37
 
5.7%
5 20
 
3.1%
6 12
 
1.8%
7 11
 
1.7%
10 6
 
0.9%
8 4
 
0.6%
16 4
 
0.6%
Other values (14) 23
 
3.5%
ValueCountFrequency (%)
1 329
50.5%
2 136
20.9%
3 69
 
10.6%
4 37
 
5.7%
5 20
 
3.1%
6 12
 
1.8%
7 11
 
1.7%
8 4
 
0.6%
9 3
 
0.5%
10 6
 
0.9%
ValueCountFrequency (%)
98 1
 
0.2%
76 1
 
0.2%
53 1
 
0.2%
51 1
 
0.2%
32 1
 
0.2%
23 1
 
0.2%
19 2
0.3%
18 3
0.5%
17 1
 
0.2%
16 4
0.6%

수수료
Text

Distinct59
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-11T08:31:33.184408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters11067
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)4.1%

Sample

1st row 2000 원
2nd row 5000 원
3rd row 6000 원
4th row 2000 원
5th row 6000 원
ValueCountFrequency (%)
원 651
50.0%
2000 135
 
10.4%
5000 74
 
5.7%
4000 66
 
5.1%
3000 65
 
5.0%
8000 40
 
3.1%
6000 38
 
2.9%
10000 36
 
2.8%
7000 31
 
2.4%
15000 19
 
1.5%
Other values (50) 147
 
11.3%
2023-12-11T08:31:33.504866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7619
68.8%
0 2006
 
18.1%
원 651
 
5.9%
2 193
 
1.7%
1 140
 
1.3%
3 104
 
0.9%
5 102
 
0.9%
4 90
 
0.8%
6 50
 
0.5%
8 48
 
0.4%
Other values (3) 64
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Space Separator 7619
68.8%
Decimal Number 2796
 
25.3%
Other Letter 651
 
5.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2006
71.7%
2 193
 
6.9%
1 140
 
5.0%
3 104
 
3.7%
5 102
 
3.6%
4 90
 
3.2%
6 50
 
1.8%
8 48
 
1.7%
7 42
 
1.5%
9 21
 
0.8%
Space Separator
ValueCountFrequency (%)
7619
100.0%
Other Letter
ValueCountFrequency (%)
원 651
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10416
94.1%
Hangul 651
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
7619
73.1%
0 2006
 
19.3%
2 193
 
1.9%
1 140
 
1.3%
3 104
 
1.0%
5 102
 
1.0%
4 90
 
0.9%
6 50
 
0.5%
8 48
 
0.5%
7 42
 
0.4%
Other values (2) 22
 
0.2%
Hangul
ValueCountFrequency (%)
원 651
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10416
94.1%
Hangul 651
 
5.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7619
73.1%
0 2006
 
19.3%
2 193
 
1.9%
1 140
 
1.3%
3 104
 
1.0%
5 102
 
1.0%
4 90
 
0.9%
6 50
 
0.5%
8 48
 
0.5%
7 42
 
0.4%
Other values (2) 22
 
0.2%
Hangul
ValueCountFrequency (%)
원 651
100.0%

물품1(규격)
Text

MISSING 

Distinct84
Distinct (%)13.1%
Missing8
Missing (%)1.2%
Memory size5.2 KiB
2023-12-11T08:31:33.684179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.321928
Min length6

Characters and Unicode

Total characters7280
Distinct characters148
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)2.2%

Sample

1st row서랍장(5단 미만)
2nd row상(가로,세로 1m이상)
3rd row유모차(모든 규격)
4th row카페트(모든 규격)
5th row책상(판수, 소형)
ValueCountFrequency (%)
규격 189
 
18.8%
미만 60
 
6.0%
서랍장(5단 59
 
5.9%
의자(일반의자(1인용 56
 
5.6%
이상 35
 
3.5%
매트리스(1인용 30
 
3.0%
책장(모든규격 26
 
2.6%
전기장판(모든 25
 
2.5%
1족 23
 
2.3%
선풍기(모든 22
 
2.2%
Other values (79) 478
47.7%
2023-12-11T08:31:34.004134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 829
 
11.4%
) 829
 
11.4%
360
 
4.9%
모 280
 
3.8%
격 256
 
3.5%
든 256
 
3.5%
규 256
 
3.5%
인 214
 
2.9%
장 204
 
2.8%
1 198
 
2.7%
Other values (138) 3598
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4562
62.7%
Open Punctuation 829
 
11.4%
Close Punctuation 829
 
11.4%
Decimal Number 489
 
6.7%
Space Separator 360
 
4.9%
Lowercase Letter 117
 
1.6%
Other Punctuation 39
 
0.5%
Math Symbol 29
 
0.4%
Uppercase Letter 20
 
0.3%
Other Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 280
 
6.1%
격 256
 
5.6%
든 256
 
5.6%
규 256
 
5.6%
인 214
 
4.7%
장 204
 
4.5%
용 198
 
4.3%
자 162
 
3.6%
의 149
 
3.3%
트 142
 
3.1%
Other values (113) 2445
53.6%
Decimal Number
ValueCountFrequency (%)
1 198
40.5%
0 77
 
15.7%
5 68
 
13.9%
2 51
 
10.4%
3 37
 
7.6%
9 29
 
5.9%
6 16
 
3.3%
4 8
 
1.6%
8 5
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
m 58
49.6%
c 35
29.9%
ℓ 14
 
12.0%
g 5
 
4.3%
k 5
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 35
89.7%
. 4
 
10.3%
Math Symbol
ValueCountFrequency (%)
+ 21
72.4%
~ 8
 
27.6%
Uppercase Letter
ValueCountFrequency (%)
T 10
50.0%
V 10
50.0%
Other Symbol
ValueCountFrequency (%)
㎡ 5
83.3%
㎏ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 829
100.0%
Close Punctuation
ValueCountFrequency (%)
) 829
100.0%
Space Separator
ValueCountFrequency (%)
360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4562
62.7%
Common 2595
35.6%
Latin 123
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 280
 
6.1%
격 256
 
5.6%
든 256
 
5.6%
규 256
 
5.6%
인 214
 
4.7%
장 204
 
4.5%
용 198
 
4.3%
자 162
 
3.6%
의 149
 
3.3%
트 142
 
3.1%
Other values (113) 2445
53.6%
Common
ValueCountFrequency (%)
( 829
31.9%
) 829
31.9%
360
13.9%
1 198
 
7.6%
0 77
 
3.0%
5 68
 
2.6%
2 51
 
2.0%
3 37
 
1.4%
, 35
 
1.3%
9 29
 
1.1%
Other values (9) 82
 
3.2%
Latin
ValueCountFrequency (%)
m 58
47.2%
c 35
28.5%
T 10
 
8.1%
V 10
 
8.1%
g 5
 
4.1%
k 5
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4562
62.7%
ASCII 2698
37.1%
Letterlike Symbols 14
 
0.2%
CJK Compat 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 829
30.7%
) 829
30.7%
360
13.3%
1 198
 
7.3%
0 77
 
2.9%
5 68
 
2.5%
m 58
 
2.1%
2 51
 
1.9%
3 37
 
1.4%
c 35
 
1.3%
Other values (12) 156
 
5.8%
Hangul
ValueCountFrequency (%)
모 280
 
6.1%
격 256
 
5.6%
든 256
 
5.6%
규 256
 
5.6%
인 214
 
4.7%
장 204
 
4.5%
용 198
 
4.3%
자 162
 
3.6%
의 149
 
3.3%
트 142
 
3.1%
Other values (113) 2445
53.6%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 14
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 5
83.3%
㎏ 1
 
16.7%

물품1개수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.2%
Missing8
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean1.3685848
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:34.120942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0557995
Coefficient of variation (CV)0.77145346
Kurtosis32.166409
Mean1.3685848
Median Absolute Deviation (MAD)0
Skewness5.0283249
Sum880
Variance1.1147125
MonotonicityNot monotonic
2023-12-11T08:31:34.217092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 514
79.0%
2 82
 
12.6%
3 27
 
4.1%
4 8
 
1.2%
10 4
 
0.6%
7 4
 
0.6%
5 3
 
0.5%
6 1
 
0.2%
(Missing) 8
 
1.2%
ValueCountFrequency (%)
1 514
79.0%
2 82
 
12.6%
3 27
 
4.1%
4 8
 
1.2%
5 3
 
0.5%
6 1
 
0.2%
7 4
 
0.6%
10 4
 
0.6%
ValueCountFrequency (%)
10 4
 
0.6%
7 4
 
0.6%
6 1
 
0.2%
5 3
 
0.5%
4 8
 
1.2%
3 27
 
4.1%
2 82
 
12.6%
1 514
79.0%

물품2(규격)
Text

MISSING 

Distinct69
Distinct (%)26.8%
Missing394
Missing (%)60.5%
Memory size5.2 KiB
2023-12-11T08:31:34.404784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length11.225681
Min length6

Characters and Unicode

Total characters2885
Distinct characters133
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)10.1%

Sample

1st row상(가로,세로 1m미만)
2nd row보행기(모든 규격)
3rd row대형가방(모든 규격)
4th row청소기(모든 규격)
5th row판유리(1제곱미터당)
ValueCountFrequency (%)
규격 84
20.5%
서랍장(5단 22
 
5.4%
미만 18
 
4.4%
의자(일반의자(1인용 16
 
3.9%
상(가로,세로 16
 
3.9%
책장(모든규격 15
 
3.7%
이상 11
 
2.7%
침대(일반)(1인용(틀+매트리스 10
 
2.4%
대형가방(모든 9
 
2.2%
1m미만 9
 
2.2%
Other values (66) 200
48.8%
2023-12-11T08:31:34.761650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 324
 
11.2%
( 324
 
11.2%
153
 
5.3%
모 120
 
4.2%
규 111
 
3.8%
격 111
 
3.8%
든 111
 
3.8%
장 79
 
2.7%
1 66
 
2.3%
인 61
 
2.1%
Other values (123) 1425
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1817
63.0%
Close Punctuation 324
 
11.2%
Open Punctuation 324
 
11.2%
Decimal Number 161
 
5.6%
Space Separator 153
 
5.3%
Lowercase Letter 46
 
1.6%
Other Punctuation 30
 
1.0%
Math Symbol 17
 
0.6%
Uppercase Letter 10
 
0.3%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 120
 
6.6%
규 111
 
6.1%
격 111
 
6.1%
든 111
 
6.1%
장 79
 
4.3%
인 61
 
3.4%
용 55
 
3.0%
상 50
 
2.8%
트 48
 
2.6%
자 47
 
2.6%
Other values (101) 1024
56.4%
Decimal Number
ValueCountFrequency (%)
1 66
41.0%
5 25
 
15.5%
0 23
 
14.3%
2 15
 
9.3%
3 12
 
7.5%
9 12
 
7.5%
6 5
 
3.1%
4 3
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
m 29
63.0%
c 13
28.3%
ℓ 4
 
8.7%
Other Punctuation
ValueCountFrequency (%)
, 27
90.0%
. 3
 
10.0%
Math Symbol
ValueCountFrequency (%)
+ 16
94.1%
~ 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
T 5
50.0%
V 5
50.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
66.7%
㎏ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 324
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1817
63.0%
Common 1016
35.2%
Latin 52
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 120
 
6.6%
규 111
 
6.1%
격 111
 
6.1%
든 111
 
6.1%
장 79
 
4.3%
인 61
 
3.4%
용 55
 
3.0%
상 50
 
2.8%
트 48
 
2.6%
자 47
 
2.6%
Other values (101) 1024
56.4%
Common
ValueCountFrequency (%)
) 324
31.9%
( 324
31.9%
153
15.1%
1 66
 
6.5%
, 27
 
2.7%
5 25
 
2.5%
0 23
 
2.3%
+ 16
 
1.6%
2 15
 
1.5%
3 12
 
1.2%
Other values (8) 31
 
3.1%
Latin
ValueCountFrequency (%)
m 29
55.8%
c 13
25.0%
T 5
 
9.6%
V 5
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1817
63.0%
ASCII 1061
36.8%
Letterlike Symbols 4
 
0.1%
CJK Compat 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 324
30.5%
( 324
30.5%
153
14.4%
1 66
 
6.2%
m 29
 
2.7%
, 27
 
2.5%
5 25
 
2.4%
0 23
 
2.2%
+ 16
 
1.5%
2 15
 
1.4%
Other values (9) 59
 
5.6%
Hangul
ValueCountFrequency (%)
모 120
 
6.6%
규 111
 
6.1%
격 111
 
6.1%
든 111
 
6.1%
장 79
 
4.3%
인 61
 
3.4%
용 55
 
3.0%
상 50
 
2.8%
트 48
 
2.6%
자 47
 
2.6%
Other values (101) 1024
56.4%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
66.7%
㎏ 1
33.3%

물품2개수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)3.1%
Missing394
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean1.5719844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:34.889976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6067707
Coefficient of variation (CV)1.0221289
Kurtosis17.045612
Mean1.5719844
Median Absolute Deviation (MAD)0
Skewness3.9943832
Sum404
Variance2.5817121
MonotonicityNot monotonic
2023-12-11T08:31:34.982995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 202
31.0%
2 26
 
4.0%
3 11
 
1.7%
4 8
 
1.2%
10 6
 
0.9%
5 2
 
0.3%
8 1
 
0.2%
7 1
 
0.2%
(Missing) 394
60.5%
ValueCountFrequency (%)
1 202
31.0%
2 26
 
4.0%
3 11
 
1.7%
4 8
 
1.2%
5 2
 
0.3%
7 1
 
0.2%
8 1
 
0.2%
10 6
 
0.9%
ValueCountFrequency (%)
10 6
 
0.9%
8 1
 
0.2%
7 1
 
0.2%
5 2
 
0.3%
4 8
 
1.2%
3 11
 
1.7%
2 26
 
4.0%
1 202
31.0%

물품3(규격)
Categorical

IMBALANCE 

Distinct46
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
520 
의자(일반의자(1인용))
 
13
서랍장(5단 미만)
 
12
책상(판수, 소형)
 
8
상(가로,세로 1m미만)
 
8
Other values (41)
90 

Length

Max length19
Median length4
Mean length5.4485407
Min length4

Unique

Unique18 ?
Unique (%)2.8%

Sample

1st row<NA>
2nd row<NA>
3rd row보행기(모든 규격)
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 520
79.9%
의자(일반의자(1인용)) 13
 
2.0%
서랍장(5단 미만) 12
 
1.8%
책상(판수, 소형) 8
 
1.2%
상(가로,세로 1m미만) 8
 
1.2%
상(가로,세로 1m이상) 7
 
1.1%
판유리(1제곱미터당) 5
 
0.8%
대형가방(모든 규격) 5
 
0.8%
매트리스(1인용) 5
 
0.8%
일반의자(1인용)(모든 규격) 4
 
0.6%
Other values (36) 64
 
9.8%

Length

2023-12-11T08:31:35.094699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 520
71.1%
규격 36
 
4.9%
상(가로,세로 15
 
2.1%
서랍장(5단 14
 
1.9%
의자(일반의자(1인용 13
 
1.8%
미만 13
 
1.8%
소형 8
 
1.1%
1m미만 8
 
1.1%
책상(판수 8
 
1.1%
1m이상 7
 
1.0%
Other values (42) 89
 
12.2%

물품3개수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)4.6%
Missing520
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean1.5801527
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:35.198758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5439918
Coefficient of variation (CV)0.9771156
Kurtosis18.910195
Mean1.5801527
Median Absolute Deviation (MAD)0
Skewness4.0812295
Sum207
Variance2.3839107
MonotonicityNot monotonic
2023-12-11T08:31:35.294525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 101
 
15.5%
2 12
 
1.8%
3 10
 
1.5%
4 3
 
0.5%
10 3
 
0.5%
5 2
 
0.3%
(Missing) 520
79.9%
ValueCountFrequency (%)
1 101
15.5%
2 12
 
1.8%
3 10
 
1.5%
4 3
 
0.5%
5 2
 
0.3%
10 3
 
0.5%
ValueCountFrequency (%)
10 3
 
0.5%
5 2
 
0.3%
4 3
 
0.5%
3 10
 
1.5%
2 12
 
1.8%
1 101
15.5%

물품4(규격)
Text

MISSING 

Distinct39
Distinct (%)60.9%
Missing587
Missing (%)90.2%
Memory size5.2 KiB
2023-12-11T08:31:35.476880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.140625
Min length7

Characters and Unicode

Total characters713
Distinct characters97
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

Unique27 ?
Unique (%)42.2%

Sample

1st row옷걸이(모든 규격)
2nd row일반의자(1인용)(모든 규격)
3rd row판유리(1제곱미터당)
4th row장롱(90cm장 1족)
5th row책상(판수, 소형)
ValueCountFrequency (%)
규격 23
21.5%
서랍장(5단 7
 
6.5%
미만 7
 
6.5%
책장(모든규격 4
 
3.7%
일반의자(1인용)(모든 4
 
3.7%
판유리(1제곱미터당 4
 
3.7%
1족 3
 
2.8%
의자(일반의자(1인용 3
 
2.8%
대형가방(모든 3
 
2.8%
책상(판수 3
 
2.8%
Other values (36) 46
43.0%
2023-12-11T08:31:35.847634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 78
 
10.9%
) 78
 
10.9%
43
 
6.0%
모 29
 
4.1%
든 28
 
3.9%
규 28
 
3.9%
격 28
 
3.9%
장 26
 
3.6%
1 21
 
2.9%
인 15
 
2.1%
Other values (87) 339
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
63.0%
Open Punctuation 78
 
10.9%
Close Punctuation 78
 
10.9%
Space Separator 43
 
6.0%
Decimal Number 43
 
6.0%
Lowercase Letter 10
 
1.4%
Other Punctuation 8
 
1.1%
Uppercase Letter 2
 
0.3%
Math Symbol 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 29
 
6.5%
든 28
 
6.2%
규 28
 
6.2%
격 28
 
6.2%
장 26
 
5.8%
인 15
 
3.3%
의 14
 
3.1%
자 14
 
3.1%
미 14
 
3.1%
용 13
 
2.9%
Other values (68) 240
53.5%
Decimal Number
ValueCountFrequency (%)
1 21
48.8%
5 7
 
16.3%
0 4
 
9.3%
2 3
 
7.0%
3 3
 
7.0%
9 3
 
7.0%
4 1
 
2.3%
6 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
m 6
60.0%
c 4
40.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
63.0%
Common 252
35.3%
Latin 12
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 29
 
6.5%
든 28
 
6.2%
규 28
 
6.2%
격 28
 
6.2%
장 26
 
5.8%
인 15
 
3.3%
의 14
 
3.1%
자 14
 
3.1%
미 14
 
3.1%
용 13
 
2.9%
Other values (68) 240
53.5%
Common
ValueCountFrequency (%)
( 78
31.0%
) 78
31.0%
43
17.1%
1 21
 
8.3%
, 7
 
2.8%
5 7
 
2.8%
0 4
 
1.6%
2 3
 
1.2%
3 3
 
1.2%
9 3
 
1.2%
Other values (5) 5
 
2.0%
Latin
ValueCountFrequency (%)
m 6
50.0%
c 4
33.3%
T 1
 
8.3%
V 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
63.0%
ASCII 263
36.9%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 78
29.7%
) 78
29.7%
43
16.3%
1 21
 
8.0%
, 7
 
2.7%
5 7
 
2.7%
m 6
 
2.3%
c 4
 
1.5%
0 4
 
1.5%
2 3
 
1.1%
Other values (8) 12
 
4.6%
Hangul
ValueCountFrequency (%)
모 29
 
6.5%
든 28
 
6.2%
규 28
 
6.2%
격 28
 
6.2%
장 26
 
5.8%
인 15
 
3.3%
의 14
 
3.1%
자 14
 
3.1%
미 14
 
3.1%
용 13
 
2.9%
Other values (68) 240
53.5%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

물품4개수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)9.4%
Missing587
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:35.967124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile9.55
Maximum10
Range9
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.3290778
Coefficient of variation (CV)1.2021046
Kurtosis7.3470636
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness2.8791685
Sum124
Variance5.4246032
MonotonicityNot monotonic
2023-12-11T08:31:36.059720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 48
 
7.4%
2 6
 
0.9%
3 4
 
0.6%
10 4
 
0.6%
5 1
 
0.2%
7 1
 
0.2%
(Missing) 587
90.2%
ValueCountFrequency (%)
1 48
7.4%
2 6
 
0.9%
3 4
 
0.6%
5 1
 
0.2%
7 1
 
0.2%
10 4
 
0.6%
ValueCountFrequency (%)
10 4
 
0.6%
7 1
 
0.2%
5 1
 
0.2%
3 4
 
0.6%
2 6
 
0.9%
1 48
7.4%

물품5(규격)
Text

MISSING 

Distinct22
Distinct (%)57.9%
Missing613
Missing (%)94.2%
Memory size5.2 KiB
2023-12-11T08:31:36.246576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length12
Min length6

Characters and Unicode

Total characters456
Distinct characters77
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

Unique13 ?
Unique (%)34.2%

Sample

1st row상(가로,세로 1m미만)
2nd row전기난로(모든 규격)
3rd row파일캐비닛(4단이상)
4th row의자(일반의자(1인용))
5th row판유리(1제곱미터당)
ValueCountFrequency (%)
규격 9
15.5%
일반의자(1인용)(모든 4
 
6.9%
서랍장(5단 4
 
6.9%
미만 4
 
6.9%
의자(일반의자(1인용 3
 
5.2%
판유리(1제곱미터당 3
 
5.2%
책장(모든규격 3
 
5.2%
상(가로,세로 3
 
5.2%
응접세트(쇼파)(3인용 2
 
3.4%
이상 2
 
3.4%
Other values (18) 21
36.2%
2023-12-11T08:31:36.551665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 53
 
11.6%
) 53
 
11.6%
20
 
4.4%
1 16
 
3.5%
장 14
 
3.1%
인 13
 
2.9%
용 13
 
2.9%
모 13
 
2.9%
규 12
 
2.6%
격 12
 
2.6%
Other values (67) 237
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
62.1%
Open Punctuation 53
 
11.6%
Close Punctuation 53
 
11.6%
Decimal Number 31
 
6.8%
Space Separator 20
 
4.4%
Lowercase Letter 7
 
1.5%
Other Punctuation 4
 
0.9%
Math Symbol 2
 
0.4%
Uppercase Letter 2
 
0.4%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 14
 
4.9%
인 13
 
4.6%
용 13
 
4.6%
모 13
 
4.6%
규 12
 
4.2%
격 12
 
4.2%
든 12
 
4.2%
미 10
 
3.5%
일 10
 
3.5%
자 10
 
3.5%
Other values (49) 164
58.0%
Decimal Number
ValueCountFrequency (%)
1 16
51.6%
5 4
 
12.9%
3 4
 
12.9%
0 2
 
6.5%
9 2
 
6.5%
2 2
 
6.5%
4 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
m 5
71.4%
c 2
 
28.6%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
T 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
62.1%
Common 164
36.0%
Latin 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 14
 
4.9%
인 13
 
4.6%
용 13
 
4.6%
모 13
 
4.6%
규 12
 
4.2%
격 12
 
4.2%
든 12
 
4.2%
미 10
 
3.5%
일 10
 
3.5%
자 10
 
3.5%
Other values (49) 164
58.0%
Common
ValueCountFrequency (%)
( 53
32.3%
) 53
32.3%
20
 
12.2%
1 16
 
9.8%
5 4
 
2.4%
3 4
 
2.4%
, 3
 
1.8%
0 2
 
1.2%
9 2
 
1.2%
2 2
 
1.2%
Other values (4) 5
 
3.0%
Latin
ValueCountFrequency (%)
m 5
55.6%
c 2
 
22.2%
V 1
 
11.1%
T 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
62.1%
ASCII 172
37.7%
CJK Compat 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 53
30.8%
) 53
30.8%
20
 
11.6%
1 16
 
9.3%
m 5
 
2.9%
5 4
 
2.3%
3 4
 
2.3%
, 3
 
1.7%
0 2
 
1.2%
9 2
 
1.2%
Other values (7) 10
 
5.8%
Hangul
ValueCountFrequency (%)
장 14
 
4.9%
인 13
 
4.6%
용 13
 
4.6%
모 13
 
4.6%
규 12
 
4.2%
격 12
 
4.2%
든 12
 
4.2%
미 10
 
3.5%
일 10
 
3.5%
자 10
 
3.5%
Other values (49) 164
58.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

물품5개수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)15.8%
Missing613
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean2.0263158
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:36.659148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6.6
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1870237
Coefficient of variation (CV)1.0793104
Kurtosis8.3853811
Mean2.0263158
Median Absolute Deviation (MAD)0
Skewness2.8936476
Sum77
Variance4.7830725
MonotonicityNot monotonic
2023-12-11T08:31:36.751594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 25
 
3.8%
2 5
 
0.8%
3 4
 
0.6%
10 2
 
0.3%
4 1
 
0.2%
6 1
 
0.2%
(Missing) 613
94.2%
ValueCountFrequency (%)
1 25
3.8%
2 5
 
0.8%
3 4
 
0.6%
4 1
 
0.2%
6 1
 
0.2%
10 2
 
0.3%
ValueCountFrequency (%)
10 2
 
0.3%
6 1
 
0.2%
4 1
 
0.2%
3 4
 
0.6%
2 5
 
0.8%
1 25
3.8%

물품6(규격)
Text

MISSING 

Distinct23
Distinct (%)76.7%
Missing621
Missing (%)95.4%
Memory size5.2 KiB
2023-12-11T08:31:36.896241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length11.133333
Min length6

Characters and Unicode

Total characters334
Distinct characters80
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

Unique18 ?
Unique (%)60.0%

Sample

1st row책장(모든규격)
2nd row문갑(모든규격)
3rd row판유리(1제곱미터당)
4th rowTV진열대(모든 규격)
5th row일반의자(1인용)(모든 규격)
ValueCountFrequency (%)
규격 11
22.4%
책장(모든규격 3
 
6.1%
상(가로,세로 3
 
6.1%
일반의자(1인용)(모든 3
 
6.1%
응접세트(쇼파)(1인용 2
 
4.1%
1m미만 2
 
4.1%
문짝(개당 2
 
4.1%
미만 2
 
4.1%
서랍장(5단 2
 
4.1%
보행기(모든 1
 
2.0%
Other values (18) 18
36.7%
2023-12-11T08:31:37.190782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 36
 
10.8%
) 36
 
10.8%
19
 
5.7%
모 15
 
4.5%
든 15
 
4.5%
규 15
 
4.5%
격 15
 
4.5%
1 11
 
3.3%
장 10
 
3.0%
인 7
 
2.1%
Other values (70) 155
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
62.6%
Open Punctuation 36
 
10.8%
Close Punctuation 36
 
10.8%
Decimal Number 20
 
6.0%
Space Separator 19
 
5.7%
Lowercase Letter 7
 
2.1%
Other Punctuation 4
 
1.2%
Uppercase Letter 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 15
 
7.2%
든 15
 
7.2%
규 15
 
7.2%
격 15
 
7.2%
장 10
 
4.8%
인 7
 
3.3%
로 7
 
3.3%
용 7
 
3.3%
상 6
 
2.9%
가 5
 
2.4%
Other values (53) 107
51.2%
Decimal Number
ValueCountFrequency (%)
1 11
55.0%
5 2
 
10.0%
9 2
 
10.0%
0 2
 
10.0%
2 1
 
5.0%
4 1
 
5.0%
3 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
m 5
71.4%
c 2
 
28.6%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
62.6%
Common 116
34.7%
Latin 9
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 15
 
7.2%
든 15
 
7.2%
규 15
 
7.2%
격 15
 
7.2%
장 10
 
4.8%
인 7
 
3.3%
로 7
 
3.3%
용 7
 
3.3%
상 6
 
2.9%
가 5
 
2.4%
Other values (53) 107
51.2%
Common
ValueCountFrequency (%)
( 36
31.0%
) 36
31.0%
19
16.4%
1 11
 
9.5%
, 3
 
2.6%
5 2
 
1.7%
9 2
 
1.7%
0 2
 
1.7%
㎏ 1
 
0.9%
. 1
 
0.9%
Other values (3) 3
 
2.6%
Latin
ValueCountFrequency (%)
m 5
55.6%
c 2
 
22.2%
T 1
 
11.1%
V 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
62.6%
ASCII 124
37.1%
CJK Compat 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 36
29.0%
) 36
29.0%
19
15.3%
1 11
 
8.9%
m 5
 
4.0%
, 3
 
2.4%
5 2
 
1.6%
c 2
 
1.6%
9 2
 
1.6%
0 2
 
1.6%
Other values (6) 6
 
4.8%
Hangul
ValueCountFrequency (%)
모 15
 
7.2%
든 15
 
7.2%
규 15
 
7.2%
격 15
 
7.2%
장 10
 
4.8%
인 7
 
3.3%
로 7
 
3.3%
용 7
 
3.3%
상 6
 
2.9%
가 5
 
2.4%
Other values (53) 107
51.2%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

물품6개수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)23.3%
Missing621
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean2.5666667
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:37.295705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.75
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.9558047
Coefficient of variation (CV)1.1516122
Kurtosis2.3259285
Mean2.5666667
Median Absolute Deviation (MAD)0
Skewness1.906816
Sum77
Variance8.7367816
MonotonicityNot monotonic
2023-12-11T08:31:37.381047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 20
 
3.1%
10 3
 
0.5%
3 2
 
0.3%
2 2
 
0.3%
5 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%
(Missing) 621
95.4%
ValueCountFrequency (%)
1 20
3.1%
2 2
 
0.3%
3 2
 
0.3%
4 1
 
0.2%
5 1
 
0.2%
8 1
 
0.2%
10 3
 
0.5%
ValueCountFrequency (%)
10 3
 
0.5%
8 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 2
 
0.3%
2 2
 
0.3%
1 20
3.1%

물품7(규격)
Text

MISSING 

Distinct18
Distinct (%)78.3%
Missing628
Missing (%)96.5%
Memory size5.2 KiB
2023-12-11T08:31:37.513989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.26087
Min length6

Characters and Unicode

Total characters236
Distinct characters67
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)60.9%

Sample

1st row신발장(모든 규격)
2nd row책장(모든규격)
3rd row판유리(1제곱미터당)
4th row서랍장(5단 미만)
5th row보행기(모든 규격)
ValueCountFrequency (%)
규격 8
21.6%
책장(모든규격 3
 
8.1%
미만 3
 
8.1%
문갑(모든규격 2
 
5.4%
일반의자(1인용)(모든 2
 
5.4%
서랍장(5단 2
 
5.4%
화장대(모든 1
 
2.7%
시계(모든규격 1
 
2.7%
유모차(모든 1
 
2.7%
1족 1
 
2.7%
Other values (13) 13
35.1%
2023-12-11T08:31:38.056705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 26
 
11.0%
) 26
 
11.0%
모 15
 
6.4%
14
 
5.9%
든 14
 
5.9%
규 14
 
5.9%
격 14
 
5.9%
장 9
 
3.8%
1 6
 
2.5%
책 4
 
1.7%
Other values (57) 94
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
64.4%
Open Punctuation 26
 
11.0%
Close Punctuation 26
 
11.0%
Space Separator 14
 
5.9%
Decimal Number 11
 
4.7%
Lowercase Letter 5
 
2.1%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 15
 
9.9%
든 14
 
9.2%
규 14
 
9.2%
격 14
 
9.2%
장 9
 
5.9%
책 4
 
2.6%
자 4
 
2.6%
미 4
 
2.6%
의 4
 
2.6%
상 3
 
2.0%
Other values (44) 67
44.1%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
5 2
 
18.2%
9 1
 
9.1%
8 1
 
9.1%
0 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
m 2
40.0%
c 1
20.0%
k 1
20.0%
g 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
64.4%
Common 79
33.5%
Latin 5
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 15
 
9.9%
든 14
 
9.2%
규 14
 
9.2%
격 14
 
9.2%
장 9
 
5.9%
책 4
 
2.6%
자 4
 
2.6%
미 4
 
2.6%
의 4
 
2.6%
상 3
 
2.0%
Other values (44) 67
44.1%
Common
ValueCountFrequency (%)
( 26
32.9%
) 26
32.9%
14
17.7%
1 6
 
7.6%
, 2
 
2.5%
5 2
 
2.5%
9 1
 
1.3%
8 1
 
1.3%
0 1
 
1.3%
Latin
ValueCountFrequency (%)
m 2
40.0%
c 1
20.0%
k 1
20.0%
g 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
64.4%
ASCII 84
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 26
31.0%
) 26
31.0%
14
16.7%
1 6
 
7.1%
, 2
 
2.4%
m 2
 
2.4%
5 2
 
2.4%
9 1
 
1.2%
8 1
 
1.2%
0 1
 
1.2%
Other values (3) 3
 
3.6%
Hangul
ValueCountFrequency (%)
모 15
 
9.9%
든 14
 
9.2%
규 14
 
9.2%
격 14
 
9.2%
장 9
 
5.9%
책 4
 
2.6%
자 4
 
2.6%
미 4
 
2.6%
의 4
 
2.6%
상 3
 
2.0%
Other values (44) 67
44.1%

물품7개수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
628 
1
 
12
2
 
6
10
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.8986175
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 628
96.5%
1 12
 
1.8%
2 6
 
0.9%
10 3
 
0.5%
3 1
 
0.2%
4 1
 
0.2%

Length

2023-12-11T08:31:38.184960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:38.289772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 628
96.5%
1 12
 
1.8%
2 6
 
0.9%
10 3
 
0.5%
3 1
 
0.2%
4 1
 
0.2%

물품8(규격)
Text

MISSING 

Distinct12
Distinct (%)75.0%
Missing635
Missing (%)97.5%
Memory size5.2 KiB
2023-12-11T08:31:38.424286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.625
Min length6

Characters and Unicode

Total characters170
Distinct characters61
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)62.5%

Sample

1st row서랍장(5단 미만)
2nd row의자(일반의자(1인용))
3rd row서랍장(5단 미만)
4th row책상(양수, 대형)
5th row폐소화기(3.4㎏ 미만)
ValueCountFrequency (%)
의자(일반의자(1인용 4
17.4%
미만 3
13.0%
규격 3
13.0%
서랍장(5단 2
 
8.7%
책상(양수 1
 
4.3%
대형 1
 
4.3%
폐소화기(3.4㎏ 1
 
4.3%
문갑(모든규격 1
 
4.3%
장식장(모든 1
 
4.3%
창틀(모든 1
 
4.3%
Other values (5) 5
21.7%
2023-12-11T08:31:38.724224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 21
 
12.4%
( 21
 
12.4%
의 8
 
4.7%
자 8
 
4.7%
7
 
4.1%
1 6
 
3.5%
인 6
 
3.5%
용 5
 
2.9%
일 4
 
2.4%
모 4
 
2.4%
Other values (51) 80
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
62.9%
Close Punctuation 21
 
12.4%
Open Punctuation 21
 
12.4%
Decimal Number 11
 
6.5%
Space Separator 7
 
4.1%
Other Punctuation 2
 
1.2%
Other Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 8
 
7.5%
자 8
 
7.5%
인 6
 
5.6%
용 5
 
4.7%
일 4
 
3.7%
모 4
 
3.7%
든 4
 
3.7%
규 4
 
3.7%
격 4
 
3.7%
미 4
 
3.7%
Other values (40) 56
52.3%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
5 2
 
18.2%
6 1
 
9.1%
4 1
 
9.1%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
62.9%
Common 63
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 8
 
7.5%
자 8
 
7.5%
인 6
 
5.6%
용 5
 
4.7%
일 4
 
3.7%
모 4
 
3.7%
든 4
 
3.7%
규 4
 
3.7%
격 4
 
3.7%
미 4
 
3.7%
Other values (40) 56
52.3%
Common
ValueCountFrequency (%)
) 21
33.3%
( 21
33.3%
7
 
11.1%
1 6
 
9.5%
5 2
 
3.2%
6 1
 
1.6%
4 1
 
1.6%
, 1
 
1.6%
3 1
 
1.6%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
62.9%
ASCII 62
36.5%
CJK Compat 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 21
33.9%
( 21
33.9%
7
 
11.3%
1 6
 
9.7%
5 2
 
3.2%
6 1
 
1.6%
4 1
 
1.6%
, 1
 
1.6%
3 1
 
1.6%
. 1
 
1.6%
Hangul
ValueCountFrequency (%)
의 8
 
7.5%
자 8
 
7.5%
인 6
 
5.6%
용 5
 
4.7%
일 4
 
3.7%
모 4
 
3.7%
든 4
 
3.7%
규 4
 
3.7%
격 4
 
3.7%
미 4
 
3.7%
Other values (40) 56
52.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

물품8개수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing635
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T08:31:38.829268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q35.25
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.32666
Coefficient of variation (CV)0.95047428
Kurtosis-0.17645187
Mean3.5
Median Absolute Deviation (MAD)0.5
Skewness1.0989298
Sum56
Variance11.066667
MonotonicityNot monotonic
2023-12-11T08:31:38.924705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8
 
1.2%
10 2
 
0.3%
5 1
 
0.2%
6 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
3 1
 
0.2%
8 1
 
0.2%
(Missing) 635
97.5%
ValueCountFrequency (%)
1 8
1.2%
2 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
8 1
 
0.2%
10 2
 
0.3%
ValueCountFrequency (%)
10 2
 
0.3%
8 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%
1 8
1.2%

물품9(규격)
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing640
Missing (%)98.3%
Memory size5.2 KiB
2023-12-11T08:31:39.145551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.090909
Min length8

Characters and Unicode

Total characters111
Distinct characters44
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)81.8%

Sample

1st row상(가로,세로 1m이상)
2nd row유모차(모든 규격)
3rd row문갑(모든규격)
4th row유모차(모든 규격)
5th row의자(일반의자(1인용))
ValueCountFrequency (%)
규격 5
29.4%
유모차(모든 2
 
11.8%
상(가로,세로 1
 
5.9%
1m이상 1
 
5.9%
문갑(모든규격 1
 
5.9%
의자(일반의자(1인용 1
 
5.9%
책장(모든규격 1
 
5.9%
거울(모든 1
 
5.9%
판유리(1제곱미터당 1
 
5.9%
선풍기(모든 1
 
5.9%
Other values (2) 2
 
11.8%
2023-12-11T08:31:39.495853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 12
 
10.8%
( 12
 
10.8%
모 9
 
8.1%
든 7
 
6.3%
규 7
 
6.3%
격 7
 
6.3%
6
 
5.4%
유 3
 
2.7%
1 3
 
2.7%
상 2
 
1.8%
Other values (34) 43
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
64.9%
Close Punctuation 12
 
10.8%
Open Punctuation 12
 
10.8%
Space Separator 6
 
5.4%
Decimal Number 5
 
4.5%
Other Punctuation 2
 
1.8%
Other Symbol 1
 
0.9%
Lowercase Letter 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 9
 
12.5%
든 7
 
9.7%
규 7
 
9.7%
격 7
 
9.7%
유 3
 
4.2%
상 2
 
2.8%
기 2
 
2.8%
장 2
 
2.8%
차 2
 
2.8%
당 2
 
2.8%
Other values (25) 29
40.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
3 2
40.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
64.9%
Common 38
34.2%
Latin 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 9
 
12.5%
든 7
 
9.7%
규 7
 
9.7%
격 7
 
9.7%
유 3
 
4.2%
상 2
 
2.8%
기 2
 
2.8%
장 2
 
2.8%
차 2
 
2.8%
당 2
 
2.8%
Other values (25) 29
40.3%
Common
ValueCountFrequency (%)
) 12
31.6%
( 12
31.6%
6
15.8%
1 3
 
7.9%
3 2
 
5.3%
. 1
 
2.6%
㎡ 1
 
2.6%
, 1
 
2.6%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
64.9%
ASCII 38
34.2%
CJK Compat 1
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 12
31.6%
( 12
31.6%
6
15.8%
1 3
 
7.9%
3 2
 
5.3%
. 1
 
2.6%
m 1
 
2.6%
, 1
 
2.6%
Hangul
ValueCountFrequency (%)
모 9
 
12.5%
든 7
 
9.7%
규 7
 
9.7%
격 7
 
9.7%
유 3
 
4.2%
상 2
 
2.8%
기 2
 
2.8%
장 2
 
2.8%
차 2
 
2.8%
당 2
 
2.8%
Other values (25) 29
40.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

물품9개수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

물품10(규격)
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing643
Missing (%)98.8%
Memory size5.2 KiB
2023-12-11T08:31:39.650263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11.5
Mean length10.75
Min length6

Characters and Unicode

Total characters86
Distinct characters41
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

Unique6 ?
Unique (%)75.0%

Sample

1st row상(가로,세로 1m미만)
2nd row문갑(모든규격)
3rd row의자(일반의자(1인용))
4th row침대(돌침대)(2인용(틀+매트))
5th row옷걸이(모든 규격)
ValueCountFrequency (%)
옷걸이(모든 2
18.2%
규격 2
18.2%
상(가로,세로 1
9.1%
1m미만 1
9.1%
문갑(모든규격 1
9.1%
의자(일반의자(1인용 1
9.1%
침대(돌침대)(2인용(틀+매트 1
9.1%
문짝(개당 1
9.1%
식탁(6인미만 1
9.1%
2023-12-11T08:31:39.946781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 11
 
12.8%
) 11
 
12.8%
격 3
 
3.5%
인 3
 
3.5%
모 3
 
3.5%
든 3
 
3.5%
3
 
3.5%
규 3
 
3.5%
걸 2
 
2.3%
의 2
 
2.3%
Other values (31) 42
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
62.8%
Open Punctuation 11
 
12.8%
Close Punctuation 11
 
12.8%
Decimal Number 4
 
4.7%
Space Separator 3
 
3.5%
Math Symbol 1
 
1.2%
Lowercase Letter 1
 
1.2%
Other Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
격 3
 
5.6%
인 3
 
5.6%
모 3
 
5.6%
든 3
 
5.6%
규 3
 
5.6%
걸 2
 
3.7%
의 2
 
3.7%
자 2
 
3.7%
옷 2
 
3.7%
용 2
 
3.7%
Other values (22) 29
53.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
6 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
62.8%
Common 31
36.0%
Latin 1
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
격 3
 
5.6%
인 3
 
5.6%
모 3
 
5.6%
든 3
 
5.6%
규 3
 
5.6%
걸 2
 
3.7%
의 2
 
3.7%
자 2
 
3.7%
옷 2
 
3.7%
용 2
 
3.7%
Other values (22) 29
53.7%
Common
ValueCountFrequency (%)
( 11
35.5%
) 11
35.5%
3
 
9.7%
1 2
 
6.5%
+ 1
 
3.2%
2 1
 
3.2%
, 1
 
3.2%
6 1
 
3.2%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54
62.8%
ASCII 32
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 11
34.4%
) 11
34.4%
3
 
9.4%
1 2
 
6.2%
+ 1
 
3.1%
2 1
 
3.1%
m 1
 
3.1%
, 1
 
3.1%
6 1
 
3.1%
Hangul
ValueCountFrequency (%)
격 3
 
5.6%
인 3
 
5.6%
모 3
 
5.6%
든 3
 
5.6%
규 3
 
5.6%
걸 2
 
3.7%
의 2
 
3.7%
자 2
 
3.7%
옷 2
 
3.7%
용 2
 
3.7%
Other values (22) 29
53.7%

물품10개수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
643 
1
 
4
3
 
2
10
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.9646697
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 643
98.8%
1 4
 
0.6%
3 2
 
0.3%
10 1
 
0.2%
2 1
 
0.2%

Length

2023-12-11T08:31:40.088373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:40.187660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 643
98.8%
1 4
 
0.6%
3 2
 
0.3%
10 1
 
0.2%
2 1
 
0.2%

Sample

번호신고일배출일물품개수수수료물품1(규격)물품1개수물품2(규격)물품2개수물품3(규격)물품3개수물품4(규격)물품4개수물품5(규격)물품5개수물품6(규격)물품6개수물품7(규격)물품7개수물품8(규격)물품8개수물품9(규격)물품9개수물품10(규격)물품10개수
012021-12-28 15:252022-01-0612000 원서랍장(5단 미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
122021-12-31 11:132022-01-0325000 원상(가로,세로 1m이상)1상(가로,세로 1m미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232021-12-31 11:522022-01-0236000 원유모차(모든 규격)1보행기(모든 규격)1보행기(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
342022-01-03 9:442022-01-0512000 원카페트(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452022-01-03 10:382022-01-0526000 원책상(판수, 소형)1대형가방(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
562022-01-03 13:122022-01-0512000 원유모차(모든규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
672022-01-03 16:132022-01-0548000 원프린트기(모든 규격)1청소기(모든 규격)1의자(일반의자(1인용))1옷걸이(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
782022-01-04 10:122022-01-0613000 원일반의자(1인용)(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
892022-01-04 10:222022-01-0624000 원신발장(모든 규격)1판유리(1제곱미터당)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9102022-01-04 15:302022-01-0717000 원응접세트(쇼파)(3인용 이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호신고일배출일물품개수수수료물품1(규격)물품1개수물품2(규격)물품2개수물품3(규격)물품3개수물품4(규격)물품4개수물품5(규격)물품5개수물품6(규격)물품6개수물품7(규격)물품7개수물품8(규격)물품8개수물품9(규격)물품9개수물품10(규격)물품10개수
6416422022-11-24 12:282022-11-2612000 원서랍장(5단 미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6426432022-11-24 13:382022-11-2812000 원전지밥솥(모든 규격)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6436442022-11-24 15:052022-11-2812000 원상(가로,세로 1m미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6446452022-11-24 16:192022-11-2815000 원매트리스(1인용)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6456462022-11-25 16:072022-11-2813000 원폐소화기(3.4㎏ 미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6466472022-11-26 11:022022-11-2818000 원침대(일반)(2인용(매트리스))1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6476482022-11-28 11:072022-11-301129000 원공기청정기(모든규격)1TV진열대(모든 규격)1유모차(모든 규격)1장판(3.3㎡당)2싱크대장(모든 규격)1일반의자(1인용)(모든 규격)1세탁기(8kg 미만)1의자(일반의자(1인용))1보행기(모든 규격)<NA>식탁(6인미만)1
6486492022-11-28 17:412022-12-01311000 원응접세트(쇼파)(3인용 이상)1서랍장(5단 미만)1서랍장(5단 미만)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6496502022-11-30 10:462022-12-0415000 원매트리스(1인용)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6506512022-11-30 12:462022-12-0225000 원전자렌지(모든규격)1상(가로,세로 1m이상)1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>