gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	500
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	59.7 KiB
Average record size in memory	122.3 B

Variable types

Text	2
Categorical	6
Numeric	6

Dataset

Description	해당 파일 데이터는 신용보증기금의 재물자산관리품목코드에 대한 정보를 확인하실 수 있는 자료이니 데이터 활용에 참고하여 주시기 바랍니다.
Author	신용보증기금
URL	https://www.data.go.kr/data/15092925/fileData.do

Alerts

`이력일련번호` has constant value ""	Constant
`최종수정수` has constant value ""	Constant
`물품대분류명` is highly overall correlated with `물품세분류코드` and 3 other fields	High correlation
`물품대분류코드` is highly overall correlated with `물품세분류코드` and 3 other fields	High correlation
`물품중분류명` is highly overall correlated with `물품중분류코드` and 5 other fields	High correlation
`물품중분류코드` is highly overall correlated with `물품중분류명`	High correlation
`물품소분류코드` is highly overall correlated with `물품코드신구구분코드`	High correlation
`물품세분류코드` is highly overall correlated with `물품코드신구구분코드` and 3 other fields	High correlation
`정부자산구분코드` is highly overall correlated with `물품대분류코드` and 2 other fields	High correlation
`처리직원번호` is highly overall correlated with `최초처리직원번호` and 1 other fields	High correlation
`최초처리직원번호` is highly overall correlated with `처리직원번호` and 1 other fields	High correlation
`물품코드신구구분코드` is highly overall correlated with `물품소분류코드` and 4 other fields	High correlation
`물품대분류코드` is highly imbalanced (85.2%)	Imbalance
`물품대분류명` is highly imbalanced (85.2%)	Imbalance
`물품코드아이디(ID)` has unique values	Unique

Reproduction

Analysis started	2023-12-13 00:22:44.061692
Analysis finished	2023-12-13 00:22:47.418277
Duration	3.36 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

물품코드아이디(ID)
Text

UNIQUE

Distinct	500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	5000
Distinct characters	62
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	500 ?
Unique (%)	100.0%

Sample

1st row	9dd56i8LdO
2nd row	9dd56hRZJ2
3rd row	9dd555EJUl
4th row	9c7mcOT6Hx
5th row	9c7mcMaoc2

Value	Count	Frequency (%)
9dd56i8ldo	1	0.2%
z000000329	1	0.2%
z000000343	1	0.2%
z000000342	1	0.2%
z000000341	1	0.2%
z000000340	1	0.2%
z000000339	1	0.2%
z000000338	1	0.2%
z000000337	1	0.2%
z000000336	1	0.2%
Other values (490)	490	98.0%

Most occurring characters

Value	Count	Frequency (%)
0	2135	42.7%
Z	392	7.8%
9	254	5.1%
4	187	3.7%
2	185	3.7%
3	185	3.7%
c	171	3.4%
1	126	2.5%
5	97	1.9%
7	96	1.9%
Other values (52)	1172	23.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3446	68.9%
Uppercase Letter	967	19.3%
Lowercase Letter	587	11.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Z	392	40.5%
Y	62	6.4%
W	37	3.8%
S	34	3.5%
T	32	3.3%
X	32	3.3%
J	31	3.2%
U	29	3.0%
I	28	2.9%
E	25	2.6%
Other values (16)	265	27.4%

Lowercase Letter

Value	Count	Frequency (%)
c	171	29.1%
g	33	5.6%
a	30	5.1%
d	25	4.3%
m	22	3.7%
t	21	3.6%
k	21	3.6%
b	21	3.6%
i	21	3.6%
s	19	3.2%
Other values (16)	203	34.6%

Decimal Number

Value	Count	Frequency (%)
0	2135	62.0%
9	254	7.4%
4	187	5.4%
2	185	5.4%
3	185	5.4%
1	126	3.7%
5	97	2.8%
7	96	2.8%
8	92	2.7%
6	89	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3446	68.9%
Latin	1554	31.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Z	392	25.2%
c	171	11.0%
Y	62	4.0%
W	37	2.4%
S	34	2.2%
g	33	2.1%
T	32	2.1%
X	32	2.1%
J	31	2.0%
a	30	1.9%
Other values (42)	700	45.0%

Common

Value	Count	Frequency (%)
0	2135	62.0%
9	254	7.4%
4	187	5.4%
2	185	5.4%
3	185	5.4%
1	126	3.7%
5	97	2.8%
7	96	2.8%
8	92	2.7%
6	89	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2135	42.7%
Z	392	7.8%
9	254	5.1%
4	187	3.7%
2	185	3.7%
3	185	3.7%
c	171	3.4%
1	126	2.5%
5	97	1.9%
7	96	1.9%
Other values (52)	1172	23.4%

이력일련번호
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	500	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	500	100.0%

물품코드신구구분코드
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

2	433
1	67

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
2	433	86.6%
1	67	13.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	433	86.6%
1	67	13.4%

물품대분류코드
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

5	479
4	15
8	5
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

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

Common Values

Value	Count	Frequency (%)
5	479	95.8%
4	15	3.0%
8	5	1.0%
1	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	479	95.8%
4	15	3.0%
8	5	1.0%
1	1	0.2%

물품중분류코드
Real number (ℝ)

HIGH CORRELATION

Distinct	9
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.196

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	5
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.3143674
Coefficient of variation (CV)	0.724145
Kurtosis	-0.23212407
Mean	3.196
Median Absolute Deviation (MAD)	1
Skewness	1.0233002
Sum	1598
Variance	5.3562966
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	197	39.4%
1	114	22.8%
7	56	11.2%
5	40	8.0%
3	25	5.0%
4	25	5.0%
6	19	3.8%
9	17	3.4%
8	7	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	114	22.8%
2	197	39.4%
3	25	5.0%
4	25	5.0%
5	40	8.0%
6	19	3.8%
7	56	11.2%
8	7	1.4%
9	17	3.4%

Value	Count	Frequency (%)
9	17	3.4%
8	7	1.4%
7	56	11.2%
6	19	3.8%
5	40	8.0%
4	25	5.0%
3	25	5.0%
2	197	39.4%
1	114	22.8%

물품소분류코드
Real number (ℝ)

HIGH CORRELATION

Distinct	34
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.108

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	9
Q3	20
95-th percentile	27
Maximum	99
Range	98
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	17.056324
Coefficient of variation (CV)	1.3012148
Kurtosis	15.435171
Mean	13.108
Median Absolute Deviation (MAD)	7
Skewness	3.5857311
Sum	6554
Variance	290.91817
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
1	87	17.4%
2	48	9.6%
20	37	7.4%
24	27	5.4%
3	25	5.0%
13	25	5.0%
9	25	5.0%
8	24	4.8%
12	18	3.6%
4	16	3.2%
Other values (24)	168	33.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	87	17.4%
2	48	9.6%
3	25	5.0%
4	16	3.2%
5	13	2.6%
6	11	2.2%
7	14	2.8%
8	24	4.8%
9	25	5.0%
10	12	2.4%

Value	Count	Frequency (%)
99	14	2.8%
48	1	0.2%
42	1	0.2%
37	3	0.6%
35	1	0.2%
29	2	0.4%
28	2	0.4%
27	11	2.2%
26	7	1.4%
25	8	1.6%

물품세분류코드
Real number (ℝ)

HIGH CORRELATION

Distinct	103
Distinct (%)	20.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	187.46

Minimum	2
Maximum	260
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	2
5-th percentile	32
Q1	201
median	203
Q3	209
95-th percentile	228.05
Maximum	260
Range	258
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	55.156476
Coefficient of variation (CV)	0.29423064
Kurtosis	3.8956913
Mean	187.46
Median Absolute Deviation (MAD)	2
Skewness	-2.2692486
Sum	93730
Variance	3042.2369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201	118	23.6%
202	56	11.2%
203	36	7.2%
204	28	5.6%
205	20	4.0%
206	16	3.2%
207	13	2.6%
208	12	2.4%
210	11	2.2%
209	11	2.2%
Other values (93)	179	35.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.2%
3	3	0.6%
5	1	0.2%
6	2	0.4%
7	2	0.4%
8	2	0.4%
9	1	0.2%
12	1	0.2%
16	1	0.2%
19	1	0.2%

Value	Count	Frequency (%)
260	1	0.2%
259	1	0.2%
249	1	0.2%
248	1	0.2%
247	1	0.2%
246	1	0.2%
245	1	0.2%
244	1	0.2%
243	1	0.2%
242	1	0.2%

물품대분류명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

업무용비품	479
업무용기계	15
소프트웨어	5
업무용토지	1

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	업무용비품
2nd row	업무용비품
3rd row	업무용비품
4th row	업무용비품
5th row	업무용비품

Common Values

Value	Count	Frequency (%)
업무용비품	479	95.8%
업무용기계	15	3.0%
소프트웨어	5	1.0%
업무용토지	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
업무용비품	479	95.8%
업무용기계	15	3.0%
소프트웨어	5	1.0%
업무용토지	1	0.2%

물품중분류명
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

사무용집기	165
가전제품	91
운동기구	56
주방기구	41
기타비품	29
Other values (10)	118

Length

Max length	9
Median length	7.5
Mean length	4.62
Min length	3

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	가전제품
2nd row	가전제품
3rd row	가전제품
4th row	운동기구
5th row	운동기구

Common Values

Value	Count	Frequency (%)
사무용집기	165	33.0%
가전제품	91	18.2%
운동기구	56	11.2%
주방기구	41	8.2%
기타비품	29	5.8%
사무용비품	27	5.4%
사무용기기	24	4.8%
공구및기구	19	3.8%
전산용기계	14	2.8%
전기통신기기	12	2.4%
Other values (5)	22	4.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
사무용집기	165	33.0%
가전제품	91	18.2%
운동기구	56	11.2%
주방기구	41	8.2%
기타비품	29	5.8%
사무용비품	27	5.4%
사무용기기	24	4.8%
공구및기구	19	3.8%
전산용기계	14	2.8%
전기통신기기	12	2.4%
Other values (5)	22	4.4%

물품소분류명
Text

Distinct	138
Distinct (%)	27.6%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Length

Max length	11
Median length	9
Mean length	3.958
Min length	1

Characters and Unicode

Total characters	1979
Distinct characters	211
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	71 ?
Unique (%)	14.2%

Sample

1st row	청소기
2nd row	세탁기
3rd row	냉장고
4th row	헬스기구
5th row	헬스기구

Value	Count	Frequency (%)
헬스기구	49	9.8%
칸막이(판넬	33	6.6%
기타oa	30	6.0%
책상	23	4.6%
의자	20	4.0%
냉난방기	20	4.0%
쇼파	19	3.8%
oa캐비닛서랍	15	3.0%
기타비품	13	2.6%
복사기	10	2.0%
Other values (129)	270	53.8%

Most occurring characters

Value	Count	Frequency (%)
기	228	11.5%
스	69	3.5%
구	59	3.0%
이	50	2.5%
헬	49	2.5%
타	48	2.4%
O	45	2.3%
A	45	2.3%
(	39	2.0%
)	39	2.0%
Other values (201)	1308	66.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1783	90.1%
Uppercase Letter	112	5.7%
Open Punctuation	39	2.0%
Close Punctuation	39	2.0%
Other Punctuation	4	0.2%
Space Separator	2	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	228	12.8%
스	69	3.9%
구	59	3.3%
이	50	2.8%
헬	49	2.7%
타	48	2.7%
막	35	2.0%
판	35	2.0%
칸	34	1.9%
비	33	1.9%
Other values (191)	1143	64.1%

Uppercase Letter

Value	Count	Frequency (%)
O	45	40.2%
A	45	40.2%
T	7	6.2%
V	7	6.2%
P	4	3.6%
C	4	3.6%

Open Punctuation

Value	Count	Frequency (%)
(	39	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	39	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	4	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1783	90.1%
Latin	112	5.7%
Common	84	4.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	228	12.8%
스	69	3.9%
구	59	3.3%
이	50	2.8%
헬	49	2.7%
타	48	2.7%
막	35	2.0%
판	35	2.0%
칸	34	1.9%
비	33	1.9%
Other values (191)	1143	64.1%

Latin

Value	Count	Frequency (%)
O	45	40.2%
A	45	40.2%
T	7	6.2%
V	7	6.2%
P	4	3.6%
C	4	3.6%

Common

Value	Count	Frequency (%)
(	39	46.4%
)	39	46.4%
/	4	4.8%
	2	2.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1783	90.1%
ASCII	196	9.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
기	228	12.8%
스	69	3.9%
구	59	3.3%
이	50	2.8%
헬	49	2.7%
타	48	2.7%
막	35	2.0%
판	35	2.0%
칸	34	1.9%
비	33	1.9%
Other values (191)	1143	64.1%

ASCII

Value	Count	Frequency (%)
O	45	23.0%
A	45	23.0%
(	39	19.9%
)	39	19.9%
T	7	3.6%
V	7	3.6%
P	4	2.0%
C	4	2.0%
/	4	2.0%
	2	1.0%

정부자산구분코드
Real number (ℝ)

HIGH CORRELATION

Distinct	8
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.838

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	8
median	8
Q3	9
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.5584009
Coefficient of variation (CV)	0.19882634
Kurtosis	3.0946114
Mean	7.838
Median Absolute Deviation (MAD)	1
Skewness	-1.8786982
Sum	3919
Variance	2.4286132
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
9	202	40.4%
8	193	38.6%
4	42	8.4%
7	37	7.4%
6	19	3.8%
2	5	1.0%
1	1	0.2%
5	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.2%
2	5	1.0%
4	42	8.4%
5	1	0.2%
6	19	3.8%
7	37	7.4%
8	193	38.6%
9	202	40.4%

Value	Count	Frequency (%)
9	202	40.4%
8	193	38.6%
7	37	7.4%
6	19	3.8%
5	1	0.2%
4	42	8.4%
2	5	1.0%
1	1	0.2%

최종수정수
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	500	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	500	100.0%

처리직원번호
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4770.888

Minimum	4099
Maximum	5376
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	4099
5-th percentile	4597
Q1	4597
median	4597
Q3	4794
95-th percentile	5376
Maximum	5376
Range	1277
Interquartile range (IQR)	197

Descriptive statistics

Standard deviation	310.62828
Coefficient of variation (CV)	0.065109113
Kurtosis	0.03871258
Mean	4770.888
Median Absolute Deviation (MAD)	0
Skewness	1.3164787
Sum	2385444
Variance	96489.931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4597	341	68.2%
5376	96	19.2%
4794	34	6.8%
4748	18	3.6%
5314	3	0.6%
4099	2	0.4%
5088	1	0.2%
5332	1	0.2%
5253	1	0.2%
4529	1	0.2%
Other values (2)	2	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4099	2	0.4%
4469	1	0.2%
4500	1	0.2%
4529	1	0.2%
4597	341	68.2%
4748	18	3.6%
4794	34	6.8%
5088	1	0.2%
5253	1	0.2%
5314	3	0.6%

Value	Count	Frequency (%)
5376	96	19.2%
5332	1	0.2%
5314	3	0.6%
5253	1	0.2%
5088	1	0.2%
4794	34	6.8%
4748	18	3.6%
4597	341	68.2%
4529	1	0.2%
4500	1	0.2%

최초처리직원번호
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4770.888

Minimum	4099
Maximum	5376
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.5 KiB

Quantile statistics

Minimum	4099
5-th percentile	4597
Q1	4597
median	4597
Q3	4794
95-th percentile	5376
Maximum	5376
Range	1277
Interquartile range (IQR)	197

Descriptive statistics

Standard deviation	310.62828
Coefficient of variation (CV)	0.065109113
Kurtosis	0.03871258
Mean	4770.888
Median Absolute Deviation (MAD)	0
Skewness	1.3164787
Sum	2385444
Variance	96489.931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4597	341	68.2%
5376	96	19.2%
4794	34	6.8%
4748	18	3.6%
5314	3	0.6%
4099	2	0.4%
5088	1	0.2%
5332	1	0.2%
5253	1	0.2%
4529	1	0.2%
Other values (2)	2	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4099	2	0.4%
4469	1	0.2%
4500	1	0.2%
4529	1	0.2%
4597	341	68.2%
4748	18	3.6%
4794	34	6.8%
5088	1	0.2%
5253	1	0.2%
5314	3	0.6%

Value	Count	Frequency (%)
5376	96	19.2%
5332	1	0.2%
5314	3	0.6%
5253	1	0.2%
5088	1	0.2%
4794	34	6.8%
4748	18	3.6%
4597	341	68.2%
4529	1	0.2%
4500	1	0.2%

Heatmap
Table

	물품코드신구구분코드	물품대분류코드	물품중분류코드	물품소분류코드	물품세분류코드	물품대분류명	물품중분류명	정부자산구분코드	처리직원번호	최초처리직원번호
물품코드신구구분코드	1.000	0.651	0.315	0.711	1.000	0.651	0.922	0.356	0.466	0.466
물품대분류코드	0.651	1.000	0.230	0.053	0.866	1.000	1.000	0.988	0.355	0.355
물품중분류코드	0.315	0.230	1.000	0.602	0.531	0.230	0.992	0.782	0.342	0.342
물품소분류코드	0.711	0.053	0.602	1.000	0.678	0.053	0.737	0.370	0.271	0.271
물품세분류코드	1.000	0.866	0.531	0.678	1.000	0.866	0.846	0.734	0.525	0.525
물품대분류명	0.651	1.000	0.230	0.053	0.866	1.000	1.000	0.988	0.355	0.355
물품중분류명	0.922	1.000	0.992	0.737	0.846	1.000	1.000	0.952	0.734	0.734
정부자산구분코드	0.356	0.988	0.782	0.370	0.734	0.988	0.952	1.000	0.303	0.303
처리직원번호	0.466	0.355	0.342	0.271	0.525	0.355	0.734	0.303	1.000	1.000
최초처리직원번호	0.466	0.355	0.342	0.271	0.525	0.355	0.734	0.303	1.000	1.000

Heatmap
Table

	물품코드신구구분코드	물품대분류명	물품대분류코드	물품중분류명
물품코드신구구분코드	1.000	0.454	0.454	0.896
물품대분류명	0.454	1.000	1.000	0.989
물품대분류코드	0.454	1.000	1.000	0.989
물품중분류명	0.896	0.989	0.989	1.000

Heatmap
Table

	물품중분류코드	물품소분류코드	물품세분류코드	정부자산구분코드	처리직원번호	최초처리직원번호	물품코드신구구분코드	물품대분류코드	물품대분류명	물품중분류명
물품중분류코드	1.000	-0.335	0.071	0.227	-0.216	-0.216	0.313	0.148	0.148	0.943
물품소분류코드	-0.335	1.000	-0.271	-0.061	0.235	0.235	0.522	0.034	0.034	0.452
물품세분류코드	0.071	-0.271	1.000	0.089	-0.014	-0.014	0.994	0.544	0.544	0.570
정부자산구분코드	0.227	-0.061	0.089	1.000	-0.066	-0.066	0.266	0.847	0.847	0.809
처리직원번호	-0.216	0.235	-0.014	-0.066	1.000	1.000	0.578	0.293	0.293	0.370
최초처리직원번호	-0.216	0.235	-0.014	-0.066	1.000	1.000	0.578	0.293	0.293	0.370
물품코드신구구분코드	0.313	0.522	0.994	0.266	0.578	0.578	1.000	0.454	0.454	0.896
물품대분류코드	0.148	0.034	0.544	0.847	0.293	0.293	0.454	1.000	1.000	0.989
물품대분류명	0.148	0.034	0.544	0.847	0.293	0.293	0.454	1.000	1.000	0.989
물품중분류명	0.943	0.452	0.570	0.809	0.370	0.370	0.896	0.989	0.989	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	물품코드아이디(ID)	이력일련번호	물품코드신구구분코드	물품대분류코드	물품중분류코드	물품소분류코드	물품세분류코드	물품대분류명	물품중분류명	물품소분류명	정부자산구분코드	최종수정수	처리직원번호	최초처리직원번호
0	9dd56i8LdO	1	2	5	1	18	209	업무용비품	가전제품	청소기	9	1	5314	5314
1	9dd56hRZJ2	1	2	5	1	15	206	업무용비품	가전제품	세탁기	9	1	5314	5314
2	9dd555EJUl	1	2	5	1	3	211	업무용비품	가전제품	냉장고	9	1	5314	5314
3	9c7mcOT6Hx	1	2	5	7	1	249	업무용비품	운동기구	헬스기구	9	1	5376	5376
4	9c7mcMaoc2	1	2	5	7	1	248	업무용비품	운동기구	헬스기구	9	1	5376	5376
5	9c7mbXc2Tw	1	2	5	7	1	247	업무용비품	운동기구	헬스기구	9	1	5376	5376
6	9c7mbTVrDz	1	2	5	7	1	246	업무용비품	운동기구	헬스기구	9	1	5376	5376
7	9c5W3iJUmt	1	2	5	2	1	220	업무용비품	사무용집기	책상	8	1	5376	5376
8	9c5VjDzYMV	1	2	5	2	12	214	업무용비품	사무용집기	OA캐비닛서랍	8	1	5376	5376
9	9c5HBBZTQh	1	2	4	1	8	210	업무용기계	전산용기계	기타주변기기	7	1	4748	4748

	물품코드아이디(ID)	이력일련번호	물품코드신구구분코드	물품대분류코드	물품중분류코드	물품소분류코드	물품세분류코드	물품대분류명	물품중분류명	물품소분류명	정부자산구분코드	최종수정수	처리직원번호	최초처리직원번호
490	Z000000491	1	2	5	9	2	202	업무용비품	기타비품	소화기	9	1	4597	4597
491	Z000000492	1	2	5	9	2	203	업무용비품	기타비품	소화기	9	1	4597	4597
492	Z000000493	1	2	5	9	2	204	업무용비품	기타비품	소화기	9	1	4597	4597
493	Z000000494	1	2	5	9	3	201	업무용비품	기타비품	가스연막기	9	1	4597	4597
494	Z000000495	1	2	5	9	4	201	업무용비품	기타비품	완강기	9	1	4597	4597
495	Z000000496	1	2	5	9	5	201	업무용비품	기타비품	온도계	9	1	4597	4597
496	Z000000497	1	2	5	9	6	201	업무용비품	기타비품	온습도계	9	1	4597	4597
497	Z000000498	1	2	5	9	7	201	업무용비품	기타비품	사다리	9	1	4597	4597
498	Z000000499	1	2	5	9	7	202	업무용비품	기타비품	사다리	9	1	4597	4597
499	Z000000500	1	2	5	9	7	203	업무용비품	기타비품	사다리	9	1	4597	4597

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Open Punctuation

Close Punctuation

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample