Overview

Dataset statistics

Number of variables8
Number of observations1828
Missing cells254
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.3 KiB
Average record size in memory69.1 B

Variable types

Numeric5
Categorical2
Text1

Dataset

Description녹색제품의 일반분류(대분류, 중분류, 소분류) 기준, 분류추가 및 변경이력 정보, G2B세분류번호, 구매분류코드 등을 제공
URLhttps://www.data.go.kr/data/15039360/fileData.do

Alerts

중분류명 is highly overall correlated with 대분류코드 and 5 other fieldsHigh correlation
대분류명 is highly overall correlated with 대분류코드 and 5 other fieldsHigh correlation
대분류코드 is highly overall correlated with 중분류코드 and 4 other fieldsHigh correlation
중분류코드 is highly overall correlated with 대분류코드 and 3 other fieldsHigh correlation
소분류코드 is highly overall correlated with 대분류코드 and 3 other fieldsHigh correlation
세분류번호(G2B) is highly overall correlated with 대분류코드 and 2 other fieldsHigh correlation
구매분류코드 is highly overall correlated with 대분류명 and 1 other fieldsHigh correlation
세분류번호(G2B) has 44 (2.4%) missing valuesMissing
구매분류코드 has 210 (11.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:32:13.376750
Analysis finished2023-12-12 06:32:18.058235
Duration4.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.22319
Minimum100
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-12T15:32:18.115450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1100
median300
Q3700
95-th percentile700
Maximum800
Range700
Interquartile range (IQR)600

Descriptive statistics

Standard deviation261.63165
Coefficient of variation (CV)0.71832781
Kurtosis-1.6603259
Mean364.22319
Median Absolute Deviation (MAD)200
Skewness0.34734138
Sum665800
Variance68451.12
MonotonicityIncreasing
2023-12-12T15:32:18.215632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
100 654
35.8%
700 619
33.9%
300 282
15.4%
200 190
 
10.4%
600 40
 
2.2%
400 22
 
1.2%
500 17
 
0.9%
800 4
 
0.2%
ValueCountFrequency (%)
100 654
35.8%
200 190
 
10.4%
300 282
15.4%
400 22
 
1.2%
500 17
 
0.9%
600 40
 
2.2%
700 619
33.9%
800 4
 
0.2%
ValueCountFrequency (%)
800 4
 
0.2%
700 619
33.9%
600 40
 
2.2%
500 17
 
0.9%
400 22
 
1.2%
300 282
15.4%
200 190
 
10.4%
100 654
35.8%

대분류명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
[100] 사무용 기기, 가구 및 사무용품
654 
[700] 복합용도 및 기타
619 
[300] 개인용품 및 가정용품
282 
[200] 주택, 건설용 자재, 재료 및 설비
190 
[600] 산업용 제품, 장비
 
40
Other values (3)
 
43

Length

Max length25
Median length23
Mean length19.295952
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[100] 사무용 기기, 가구 및 사무용품
2nd row[100] 사무용 기기, 가구 및 사무용품
3rd row[100] 사무용 기기, 가구 및 사무용품
4th row[100] 사무용 기기, 가구 및 사무용품
5th row[100] 사무용 기기, 가구 및 사무용품

Common Values

ValueCountFrequency (%)
[100] 사무용 기기, 가구 및 사무용품 654
35.8%
[700] 복합용도 및 기타 619
33.9%
[300] 개인용품 및 가정용품 282
15.4%
[200] 주택, 건설용 자재, 재료 및 설비 190
 
10.4%
[600] 산업용 제품, 장비 40
 
2.2%
[400] 가정용 기기, 가구 22
 
1.2%
[500] 교통, 여가, 문화 관련 제품 17
 
0.9%
[800] 서비스 4
 
0.2%

Length

2023-12-12T15:32:18.332696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:32:18.445662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 1745
18.9%
기기 676
 
7.3%
가구 676
 
7.3%
100 654
 
7.1%
사무용 654
 
7.1%
사무용품 654
 
7.1%
700 619
 
6.7%
복합용도 619
 
6.7%
기타 619
 
6.7%
300 282
 
3.1%
Other values (21) 2018
21.9%

중분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.53337
Minimum101
Maximum804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-12T15:32:18.581303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile141
Q1171
median311
Q3721
95-th percentile721
Maximum804
Range703
Interquartile range (IQR)550

Descriptive statistics

Standard deviation248.11002
Coefficient of variation (CV)0.61944906
Kurtosis-1.6451202
Mean400.53337
Median Absolute Deviation (MAD)140
Skewness0.41044649
Sum732175
Variance61558.582
MonotonicityIncreasing
2023-12-12T15:32:18.697480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
171 548
30.0%
721 539
29.5%
311 254
13.9%
241 128
 
7.0%
101 66
 
3.6%
741 48
 
2.6%
141 40
 
2.2%
221 34
 
1.9%
601 26
 
1.4%
761 22
 
1.2%
Other values (18) 123
 
6.7%
ValueCountFrequency (%)
101 66
 
3.6%
141 40
 
2.2%
171 548
30.0%
201 18
 
1.0%
221 34
 
1.9%
241 128
 
7.0%
261 10
 
0.5%
301 16
 
0.9%
311 254
13.9%
321 11
 
0.6%
ValueCountFrequency (%)
804 1
 
0.1%
803 1
 
0.1%
802 1
 
0.1%
801 1
 
0.1%
761 22
 
1.2%
741 48
 
2.6%
721 539
29.5%
701 10
 
0.5%
657 2
 
0.1%
641 12
 
0.7%

중분류명
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
[171] 사무용 가구 등 (EL171~EL179)
548 
[721] 플라스틱, 고무, 목재 제품류 (EL721~EL727)
539 
[311] 섬유, 가죽류 (EL311~EL317)
254 
[241] 기타 자재류 (EL241~EL259)
128 
[101] 문구류 (EL101~EL108)
66 
Other values (23)
293 

Length

Max length39
Median length36
Mean length29.991794
Min length13

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row[101] 문구류 (EL101~EL108)
2nd row[101] 문구류 (EL101~EL108)
3rd row[101] 문구류 (EL101~EL108)
4th row[101] 문구류 (EL101~EL108)
5th row[101] 문구류 (EL101~EL108)

Common Values

ValueCountFrequency (%)
[171] 사무용 가구 등 (EL171~EL179) 548
30.0%
[721] 플라스틱, 고무, 목재 제품류 (EL721~EL727) 539
29.5%
[311] 섬유, 가죽류 (EL311~EL317) 254
13.9%
[241] 기타 자재류 (EL241~EL259) 128
 
7.0%
[101] 문구류 (EL101~EL108) 66
 
3.6%
[741] 금속, 무기재료, 요업 제품류 (EL741~EL746) 48
 
2.6%
[141] 사무용 기기류 (EL141~EL150) 40
 
2.2%
[221] 수도, 배관 자재류 (EL221~EL229) 34
 
1.9%
[601] 원료, 자재류 (EL602~EL612) 26
 
1.4%
[761] 기타 (EL761~EL768) 22
 
1.2%
Other values (18) 123
 
6.7%

Length

2023-12-12T15:32:18.827700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제품류 614
 
6.8%
사무용 588
 
6.5%
등 576
 
6.4%
el171~el179 548
 
6.1%
171 548
 
6.1%
가구 548
 
6.1%
721 539
 
6.0%
고무 539
 
6.0%
목재 539
 
6.0%
el721~el727 539
 
6.0%
Other values (92) 3471
38.4%

소분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct172
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.89497
Minimum101
Maximum804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-12T15:32:18.945657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile144
Q1172
median311
Q3721
95-th percentile724
Maximum804
Range703
Interquartile range (IQR)549

Descriptive statistics

Standard deviation247.75588
Coefficient of variation (CV)0.61646922
Kurtosis-1.6472312
Mean401.89497
Median Absolute Deviation (MAD)139
Skewness0.40860926
Sum734664
Variance61382.975
MonotonicityIncreasing
2023-12-12T15:32:19.078569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172 528
28.9%
721 496
27.1%
311 240
13.1%
241 34
 
1.9%
101 33
 
1.8%
245 30
 
1.6%
724 27
 
1.5%
743 23
 
1.3%
144 21
 
1.1%
246 18
 
1.0%
Other values (162) 378
20.7%
ValueCountFrequency (%)
101 33
1.8%
102 6
 
0.3%
103 7
 
0.4%
104 6
 
0.3%
105 4
 
0.2%
106 4
 
0.2%
107 5
 
0.3%
108 1
 
0.1%
141 6
 
0.3%
142 4
 
0.2%
ValueCountFrequency (%)
804 1
0.1%
803 1
0.1%
802 1
0.1%
801 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 2
0.1%
764 1
0.1%
763 1
0.1%

소분류명
Text

Distinct172
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-12T15:32:19.397042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length11.061269
Min length8

Characters and Unicode

Total characters20220
Distinct characters271
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)5.3%

Sample

1st row[101] 인쇄용지
2nd row[101] 인쇄용지
3rd row[101] 인쇄용지
4th row[101] 인쇄용지
5th row[101] 인쇄용지
ValueCountFrequency (%)
제품 585
 
12.3%
가구 536
 
11.2%
172 528
 
11.1%
합성수지 499
 
10.5%
721 496
 
10.4%
311 240
 
5.0%
의류 240
 
5.0%
페인트 35
 
0.7%
및 34
 
0.7%
241 34
 
0.7%
Other values (438) 1548
32.4%
2023-12-12T15:32:19.979288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2947
14.6%
[ 1828
 
9.0%
] 1828
 
9.0%
1 1776
 
8.8%
2 1360
 
6.7%
7 1207
 
6.0%
제 642
 
3.2%
수 627
 
3.1%
품 613
 
3.0%
지 611
 
3.0%
Other values (261) 6781
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8041
39.8%
Decimal Number 5485
27.1%
Space Separator 2947
 
14.6%
Open Punctuation 1828
 
9.0%
Close Punctuation 1828
 
9.0%
Other Punctuation 73
 
0.4%
Uppercase Letter 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 642
 
8.0%
수 627
 
7.8%
품 613
 
7.6%
지 611
 
7.6%
가 571
 
7.1%
성 557
 
6.9%
구 552
 
6.9%
합 509
 
6.3%
류 256
 
3.2%
의 251
 
3.1%
Other values (243) 2852
35.5%
Decimal Number
ValueCountFrequency (%)
1 1776
32.4%
2 1360
24.8%
7 1207
22.0%
3 364
 
6.6%
4 321
 
5.9%
0 167
 
3.0%
5 127
 
2.3%
6 123
 
2.2%
8 30
 
0.5%
9 10
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
L 6
33.3%
D 6
33.3%
E 6
33.3%
Other Punctuation
ValueCountFrequency (%)
· 72
98.6%
. 1
 
1.4%
Space Separator
ValueCountFrequency (%)
2947
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1828
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1828
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12161
60.1%
Hangul 8041
39.8%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 642
 
8.0%
수 627
 
7.8%
품 613
 
7.6%
지 611
 
7.6%
가 571
 
7.1%
성 557
 
6.9%
구 552
 
6.9%
합 509
 
6.3%
류 256
 
3.2%
의 251
 
3.1%
Other values (243) 2852
35.5%
Common
ValueCountFrequency (%)
2947
24.2%
[ 1828
15.0%
] 1828
15.0%
1 1776
14.6%
2 1360
11.2%
7 1207
9.9%
3 364
 
3.0%
4 321
 
2.6%
0 167
 
1.4%
5 127
 
1.0%
Other values (5) 236
 
1.9%
Latin
ValueCountFrequency (%)
L 6
33.3%
D 6
33.3%
E 6
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12107
59.9%
Hangul 8041
39.8%
None 72
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2947
24.3%
[ 1828
15.1%
] 1828
15.1%
1 1776
14.7%
2 1360
11.2%
7 1207
10.0%
3 364
 
3.0%
4 321
 
2.7%
0 167
 
1.4%
5 127
 
1.0%
Other values (7) 182
 
1.5%
Hangul
ValueCountFrequency (%)
제 642
 
8.0%
수 627
 
7.8%
품 613
 
7.6%
지 611
 
7.6%
가 571
 
7.1%
성 557
 
6.9%
구 552
 
6.9%
합 509
 
6.3%
류 256
 
3.2%
의 251
 
3.1%
Other values (243) 2852
35.5%
None
ValueCountFrequency (%)
· 72
100.0%

세분류번호(G2B)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct569
Distinct (%)31.9%
Missing44
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean42949886
Minimum11101522
Maximum90111599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-12T15:32:20.157645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11101522
5-th percentile14121918
Q130161602
median46181504
Q356101530
95-th percentile56121598
Maximum90111599
Range79010077
Interquartile range (IQR)25939928

Descriptive statistics

Standard deviation13198141
Coefficient of variation (CV)0.30729165
Kurtosis-0.55368317
Mean42949886
Median Absolute Deviation (MAD)9920206
Skewness-0.57863353
Sum7.6622597 × 1010
Variance1.7419093 × 1014
MonotonicityNot monotonic
2023-12-12T15:32:20.321891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56101516 8
 
0.4%
56101507 8
 
0.4%
52152204 8
 
0.4%
52151650 8
 
0.4%
44111512 8
 
0.4%
56101708 8
 
0.4%
56101706 8
 
0.4%
56101703 8
 
0.4%
56101702 8
 
0.4%
56101701 8
 
0.4%
Other values (559) 1704
93.2%
(Missing) 44
 
2.4%
ValueCountFrequency (%)
11101522 1
 
0.1%
11101527 1
 
0.1%
11101701 1
 
0.1%
11111698 2
 
0.1%
11122006 1
 
0.1%
11151503 1
 
0.1%
11161701 1
 
0.1%
11162112 1
 
0.1%
11162201 8
0.4%
11162307 1
 
0.1%
ValueCountFrequency (%)
90111599 1
 
0.1%
84131503 1
 
0.1%
78111808 1
 
0.1%
73181199 2
 
0.1%
73171598 1
 
0.1%
60141002 1
 
0.1%
60121807 1
 
0.1%
60121402 8
0.4%
60121012 1
 
0.1%
56122004 8
0.4%

구매분류코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct109
Distinct (%)6.7%
Missing210
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean93.76267
Minimum2
Maximum206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-12T15:32:20.522028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q147
median112
Q3131
95-th percentile166.15
Maximum206
Range204
Interquartile range (IQR)84

Descriptive statistics

Standard deviation52.554515
Coefficient of variation (CV)0.56050574
Kurtosis-1.2988274
Mean93.76267
Median Absolute Deviation (MAD)40
Skewness-0.15758595
Sum151708
Variance2761.977
MonotonicityNot monotonic
2023-12-12T15:32:20.702863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 66
 
3.6%
16 66
 
3.6%
30 66
 
3.6%
29 66
 
3.6%
74 66
 
3.6%
176 66
 
3.6%
15 66
 
3.6%
131 66
 
3.6%
125 62
 
3.4%
121 62
 
3.4%
Other values (99) 966
52.8%
(Missing) 210
 
11.5%
ValueCountFrequency (%)
2 3
 
0.2%
3 1
 
0.1%
4 2
 
0.1%
5 1
 
0.1%
6 2
 
0.1%
7 1
 
0.1%
8 4
 
0.2%
13 66
3.6%
15 66
3.6%
16 66
3.6%
ValueCountFrequency (%)
206 1
 
0.1%
205 11
 
0.6%
176 66
3.6%
169 1
 
0.1%
168 1
 
0.1%
167 1
 
0.1%
166 1
 
0.1%
164 1
 
0.1%
162 62
3.4%
161 1
 
0.1%

Interactions

2023-12-12T15:32:16.764996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.037177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.745412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.473417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.133950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.897949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.177964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.867420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.623553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.276411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:17.035421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.297706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.029142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.760569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.397467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:17.163184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.427980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.165328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.910306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.502060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:17.609313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:14.583765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:15.330591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.023295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:16.636720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:32:20.837656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류코드대분류명중분류코드중분류명소분류코드세분류번호(G2B)구매분류코드
대분류코드1.0001.0000.9631.0000.9290.7630.787
대분류명1.0001.0000.9631.0000.9290.7630.787
중분류코드0.9630.9631.0001.0000.9970.7230.883
중분류명1.0001.0001.0001.0000.9950.9030.870
소분류코드0.9290.9290.9970.9951.0000.7130.866
세분류번호(G2B)0.7630.7630.7230.9030.7131.0000.587
구매분류코드0.7870.7870.8830.8700.8660.5871.000
2023-12-12T15:32:20.984479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중분류명대분류명
중분류명1.0000.994
대분류명0.9941.000
2023-12-12T15:32:21.086439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류코드중분류코드소분류코드세분류번호(G2B)구매분류코드대분류명중분류명
대분류코드1.0000.9820.977-0.5240.4771.0000.994
중분류코드0.9821.0000.995-0.4610.4660.8840.995
소분류코드0.9770.9951.000-0.4550.4630.7930.957
세분류번호(G2B)-0.524-0.461-0.4551.000-0.3670.5010.616
구매분류코드0.4770.4660.463-0.3671.0000.5540.559
대분류명1.0000.8840.7930.5010.5541.0000.994
중분류명0.9940.9950.9570.6160.5590.9941.000

Missing values

2023-12-12T15:32:17.779829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:32:17.911358image/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.
2023-12-12T15:32:18.008096image/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

대분류코드대분류명중분류코드중분류명소분류코드소분류명세분류번호(G2B)구매분류코드
0100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지5512161232
1100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1412199932
2100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1412190432
3100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1412190132
4100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1411160632
5100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1411151132
6100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지5512161233
7100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1412190433
8100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1412150333
9100[100] 사무용 기기, 가구 및 사무용품101[101] 문구류 (EL101~EL108)101[101] 인쇄용지1411150933
대분류코드대분류명중분류코드중분류명소분류코드소분류명세분류번호(G2B)구매분류코드
1818700[700] 복합용도 및 기타761[761] 기타 (EL761~EL768)764[764] 전지<NA><NA>
1819700[700] 복합용도 및 기타761[761] 기타 (EL761~EL768)765[765] 소화기46191602<NA>
1820700[700] 복합용도 및 기타761[761] 기타 (EL761~EL768)765[765] 소화기46191601<NA>
1821700[700] 복합용도 및 기타761[761] 기타 (EL761~EL768)766[766] 종량제 쓰레기 봉투<NA><NA>
1822700[700] 복합용도 및 기타761[761] 기타 (EL761~EL768)767[767] 음식쓰레기 감량화 기기<NA><NA>
1823700[700] 복합용도 및 기타761[761] 기타 (EL761~EL768)768[768] 포소화약제<NA><NA>
1824800[800] 서비스801[801] 호텔 서비스 (EL801)801[801] 호텔 서비스90111599<NA>
1825800[800] 서비스802[802] 자동차 보험 (EL802)802[802] 자동차 보험84131503<NA>
1826800[800] 서비스803[803] 휴양콘도미니엄서비스 (EL803)803[803] 휴양콘도미니엄서비스<NA><NA>
1827800[800] 서비스804[804] 카 쉐어링 서비스 (EL804)804[804] 카 쉐어링 서비스78111808<NA>