gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	100
Missing cells	42
Missing cells (%)	3.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	11.8 KiB
Average record size in memory	120.3 B

Variable types

Categorical	2
Text	7
Numeric	5

Dataset

Description	샘플 데이터
Author	지디에스컨설팅그룹
URL	https://www.bigdata-environment.kr/user/data_market/detail.do?id=ba792ac0-1769-11eb-8f72-932712f5aa3c

Alerts

`자료생성년월(자격마감일)` has constant value ""	Constant
`사업장형태구분코드` has constant value ""	Constant
`우편번호` is highly overall correlated with `웹검색 X좌표`	High correlation
`웹검색 X좌표` is highly overall correlated with `우편번호`	High correlation
`웹검색 전화번호` has 42 (42.0%) missing values	Missing
`사업장명` has unique values	Unique
`웹검색 대표자명` has unique values	Unique
`웹검색 주소` has unique values	Unique
`웹검색 X좌표` has unique values	Unique
`웹검색 Y좌표` has unique values	Unique

Reproduction

Analysis started	2023-12-10 10:19:03.410902
Analysis finished	2023-12-10 10:19:09.771558
Duration	6.36 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

자료생성년월(자격마감일)
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

202006	100

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	202006
2nd row	202006
3rd row	202006
4th row	202006
5th row	202006

Common Values

Value	Count	Frequency (%)
202006	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
202006	100	100.0%

사업장명
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	17
Median length	12
Mean length	7.84
Min length	5

Characters and Unicode

Total characters	784
Distinct characters	182
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	100 ?
Unique (%)	100.0%

Sample

1st row	(주)프리존
2nd row	주식회사 세진씰
3rd row	주식회사데이터원
4th row	케이이엔씨주식회사
5th row	대경상사(주)

Value	Count	Frequency (%)
주식회사	8	7.4%
주)프리존	1	0.9%
주식회사일진프로파일	1	0.9%
주식회사포유	1	0.9%
연꽃마을영농조합법인지점	1	0.9%
주식회사에이티에디션	1	0.9%
주)한가위	1	0.9%
주)익성	1	0.9%
주)덕우실업	1	0.9%
주식회사정원이엔지	1	0.9%
Other values (91)	91	84.3%

Most occurring characters

Value	Count	Frequency (%)
주	95	12.1%
(	59	7.5%
)	59	7.5%
사	41	5.2%
식	40	5.1%
회	38	4.8%
이	23	2.9%
업	12	1.5%
성	12	1.5%
스	10	1.3%
Other values (172)	395	50.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	658	83.9%
Open Punctuation	59	7.5%
Close Punctuation	59	7.5%
Space Separator	8	1.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	95	14.4%
사	41	6.2%
식	40	6.1%
회	38	5.8%
이	23	3.5%
업	12	1.8%
성	12	1.8%
스	10	1.5%
진	9	1.4%
산	9	1.4%
Other values (169)	369	56.1%

Open Punctuation

Value	Count	Frequency (%)
(	59	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	59	100.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	658	83.9%
Common	126	16.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	95	14.4%
사	41	6.2%
식	40	6.1%
회	38	5.8%
이	23	3.5%
업	12	1.8%
성	12	1.8%
스	10	1.5%
진	9	1.4%
산	9	1.4%
Other values (169)	369	56.1%

Common

Value	Count	Frequency (%)
(	59	46.8%
)	59	46.8%
	8	6.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	658	83.9%
ASCII	126	16.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
주	95	14.4%
사	41	6.2%
식	40	6.1%
회	38	5.8%
이	23	3.5%
업	12	1.8%
성	12	1.8%
스	10	1.5%
진	9	1.4%
산	9	1.4%
Other values (169)	369	56.1%

ASCII

Value	Count	Frequency (%)
(	59	46.8%
)	59	46.8%
	8	6.3%

사업자등록번호
Real number (ℝ)

Distinct	83
Distinct (%)	83.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	427334.85

Minimum	110880
Maximum	895870
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	110880
5-th percentile	128812
Q1	290347.5
median	406835
Q3	613311.5
95-th percentile	783520.5
Maximum	895870
Range	784990
Interquartile range (IQR)	322964

Descriptive statistics

Standard deviation	208952.06
Coefficient of variation (CV)	0.48896565
Kurtosis	-0.80605697
Mean	427334.85
Median Absolute Deviation (MAD)	169500
Skewness	0.25452589
Sum	42733485
Variance	4.3660965 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
405810	3	3.0%
303811	3	3.0%
136812	3	3.0%
128812	3	3.0%
136811	3	3.0%
512810	2	2.0%
416810	2	2.0%
313810	2	2.0%
304810	2	2.0%
404810	2	2.0%
Other values (73)	75	75.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
110880	1	1.0%
122864	1	1.0%
125810	1	1.0%
125812	1	1.0%
128812	3	3.0%
128813	1	1.0%
136811	3	3.0%
136812	3	3.0%
149870	1	1.0%
150880	1	1.0%

Value	Count	Frequency (%)
895870	1	1.0%
870850	1	1.0%
862860	1	1.0%
818860	1	1.0%
814880	1	1.0%
781870	1	1.0%
751810	1	1.0%
746880	1	1.0%
731870	1	1.0%
712810	1	1.0%

우편번호
Real number (ℝ)

HIGH CORRELATION

Distinct	99
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36218.92

Minimum	4799
Maximum	415860
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4799
5-th percentile	10037.4
Q1	17678.25
median	31709.5
Q3	44969.25
95-th percentile	58580.4
Maximum	415860
Range	411061
Interquartile range (IQR)	27291

Descriptive statistics

Standard deviation	41588.935
Coefficient of variation (CV)	1.1482655
Kurtosis	71.474727
Mean	36218.92
Median Absolute Deviation (MAD)	13936.5
Skewness	7.8064596
Sum	3621892
Variance	1.7296395 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
54353	2	2.0%
49498	1	1.0%
27114	1	1.0%
39850	1	1.0%
25248	1	1.0%
11192	1	1.0%
37363	1	1.0%
27653	1	1.0%
39909	1	1.0%
15847	1	1.0%
Other values (89)	89	89.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4799	1	1.0%
7274	1	1.0%
8055	1	1.0%
10013	1	1.0%
10026	1	1.0%
10038	1	1.0%
10045	1	1.0%
10212	1	1.0%
10257	1	1.0%
10816	1	1.0%

Value	Count	Frequency (%)
415860	1	1.0%
62464	1	1.0%
59657	1	1.0%
59418	1	1.0%
59006	1	1.0%
58558	1	1.0%
58027	1	1.0%
57812	1	1.0%
57714	1	1.0%
57371	1	1.0%

사업장지번상세주소
Text

Distinct	95
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	16
Median length	15
Mean length	12.44
Min length	10

Characters and Unicode

Total characters	1244
Distinct characters	136
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	90 ?
Unique (%)	90.0%

Sample

1st row	경기도 광명시 소하동
2nd row	충청남도 당진시 송산면
3rd row	경기도 김포시 양촌읍
4th row	전라남도 여수시 화양면
5th row	강원도 강릉시 구정면

Value	Count	Frequency (%)
경기도	28	8.9%
충청남도	11	3.5%
충청북도	9	2.9%
경상북도	9	2.9%
전라남도	8	2.6%
전라북도	6	1.9%
대구광역시	5	1.6%
경상남도	5	1.6%
울산광역시	5	1.6%
김포시	5	1.6%
Other values (169)	222	70.9%

Most occurring characters

Value	Count	Frequency (%)
	213	17.1%
시	85	6.8%
도	82	6.6%
동	52	4.2%
경	44	3.5%
면	43	3.5%
남	37	3.0%
북	34	2.7%
구	33	2.7%
산	32	2.6%
Other values (126)	589	47.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1029	82.7%
Space Separator	213	17.1%
Decimal Number	2	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	85	8.3%
도	82	8.0%
동	52	5.1%
경	44	4.3%
면	43	4.2%
남	37	3.6%
북	34	3.3%
구	33	3.2%
산	32	3.1%
기	30	2.9%
Other values (124)	557	54.1%

Space Separator

Value	Count	Frequency (%)
	213	100.0%

Decimal Number

Value	Count	Frequency (%)
2	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1029	82.7%
Common	215	17.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	85	8.3%
도	82	8.0%
동	52	5.1%
경	44	4.3%
면	43	4.2%
남	37	3.6%
북	34	3.3%
구	33	3.2%
산	32	3.1%
기	30	2.9%
Other values (124)	557	54.1%

Common

Value	Count	Frequency (%)
	213	99.1%
2	2	0.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1029	82.7%
ASCII	215	17.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	213	99.1%
2	2	0.9%

Hangul

Value	Count	Frequency (%)
시	85	8.3%
도	82	8.0%
동	52	5.1%
경	44	4.3%
면	43	4.2%
남	37	3.6%
북	34	3.3%
구	33	3.2%
산	32	3.1%
기	30	2.9%
Other values (124)	557	54.1%

사업장도로명상세주소
Text

Distinct	98
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	24
Median length	20.5
Mean length	16.08
Min length	1

Characters and Unicode

Total characters	1608
Distinct characters	175
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	97 ?
Unique (%)	97.0%

Sample

1st row	경기도 광명시 하안로
2nd row	충청남도 당진시 송산면 당산1로
3rd row	경기도 김포시 양촌읍 대곶남로
4th row	전라남도 여수시 화양면 영터길
5th row	강원도 강릉시 구정면 미륵굼길

Value	Count	Frequency (%)
경기도	26	7.2%
충청남도	11	3.0%
충청북도	9	2.5%
경상북도	8	2.2%
전라남도	8	2.2%
전라북도	6	1.7%
경상남도	5	1.4%
대구광역시	5	1.4%
울산광역시	5	1.4%
강원도	4	1.1%
Other values (224)	274	75.9%

Most occurring characters

Value	Count	Frequency (%)
	267	16.6%
시	82	5.1%
도	81	5.0%
로	72	4.5%
산	50	3.1%
길	46	2.9%
면	42	2.6%
경	42	2.6%
남	38	2.4%
구	36	2.2%
Other values (165)	852	53.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1268	78.9%
Space Separator	267	16.6%
Decimal Number	73	4.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	82	6.5%
도	81	6.4%
로	72	5.7%
산	50	3.9%
길	46	3.6%
면	42	3.3%
경	42	3.3%
남	38	3.0%
구	36	2.8%
북	34	2.7%
Other values (154)	745	58.8%

Decimal Number

Value	Count	Frequency (%)
1	14	19.2%
2	13	17.8%
4	9	12.3%
3	9	12.3%
5	6	8.2%
8	6	8.2%
6	5	6.8%
9	4	5.5%
0	4	5.5%
7	3	4.1%

Space Separator

Value	Count	Frequency (%)
	267	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1268	78.9%
Common	340	21.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	82	6.5%
도	81	6.4%
로	72	5.7%
산	50	3.9%
길	46	3.6%
면	42	3.3%
경	42	3.3%
남	38	3.0%
구	36	2.8%
북	34	2.7%
Other values (154)	745	58.8%

Common

Value	Count	Frequency (%)
	267	78.5%
1	14	4.1%
2	13	3.8%
4	9	2.6%
3	9	2.6%
5	6	1.8%
8	6	1.8%
6	5	1.5%
9	4	1.2%
0	4	1.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1268	78.9%
ASCII	340	21.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	267	78.5%
1	14	4.1%
2	13	3.8%
4	9	2.6%
3	9	2.6%
5	6	1.8%
8	6	1.8%
6	5	1.5%
9	4	1.2%
0	4	1.2%

Hangul

Value	Count	Frequency (%)
시	82	6.5%
도	81	6.4%
로	72	5.7%
산	50	3.9%
길	46	3.6%
면	42	3.3%
경	42	3.3%
남	38	3.0%
구	36	2.8%
북	34	2.7%
Other values (154)	745	58.8%

사업장형태구분코드
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

1	100

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	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	100	100.0%

사업장업종코드
Real number (ℝ)

Distinct	59
Distinct (%)	59.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	255670.62

Minimum	151102
Maximum	900200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	151102
5-th percentile	151301.95
Q1	241200
median	269903
Q3	290206
95-th percentile	292902.05
Maximum	900200
Range	749098
Interquartile range (IQR)	49006

Descriptive statistics

Standard deviation	81870.807
Coefficient of variation (CV)	0.32021985
Kurtosis	38.612801
Mean	255670.62
Median Absolute Deviation (MAD)	21999
Skewness	4.6924561
Sum	25567062
Variance	6.702829 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
281100	8	8.0%
291902	6	6.0%
292903	4	4.0%
252901	4	4.0%
289202	3	3.0%
269903	3	3.0%
291200	3	3.0%
241200	3	3.0%
153300	3	3.0%
151301	3	3.0%
Other values (49)	60	60.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
151102	1	1.0%
151200	1	1.0%
151301	3	3.0%
151302	1	1.0%
153102	1	1.0%
153300	3	3.0%
154101	1	1.0%
154400	1	1.0%
154501	1	1.0%
154502	1	1.0%

Value	Count	Frequency (%)
900200	1	1.0%
292903	4	4.0%
292902	2	2.0%
292901	2	2.0%
292300	1	1.0%
292202	2	2.0%
292100	2	2.0%
291902	6	6.0%
291502	1	1.0%
291200	3	3.0%

사업장업종코드명
Text

Distinct	59
Distinct (%)	59.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	28
Median length	18
Mean length	14.62
Min length	3

Characters and Unicode

Total characters	1462
Distinct characters	142
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	38 ?
Unique (%)	38.0%

Sample

1st row	인쇄 및 제책용 기계 제조업
2nd row	볼트 및 너트류 제조업
3rd row	산업용 냉장 및 냉동장비 제조업
4th row	산업용 냉장 및 냉동장비 제조업
5th row	장류 제조업

Value	Count	Frequency (%)
제조업	84	19.4%
및	53	12.2%
기타	17	3.9%
금속	13	3.0%
관련제품	10	2.3%
플라스틱	10	2.3%
산업용	9	2.1%
창	8	1.8%
셔터	8	1.8%
문	8	1.8%
Other values (121)	214	49.3%

Most occurring characters

Value	Count	Frequency (%)
	353	24.1%
제	121	8.3%
업	115	7.9%
조	93	6.4%
및	53	3.6%
기	40	2.7%
용	32	2.2%
품	31	2.1%
장	25	1.7%
금	25	1.7%
Other values (132)	574	39.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1104	75.5%
Space Separator	353	24.1%
Other Punctuation	2	0.1%
Open Punctuation	1	0.1%
Close Punctuation	1	0.1%
Decimal Number	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
제	121	11.0%
업	115	10.4%
조	93	8.4%
및	53	4.8%
기	40	3.6%
용	32	2.9%
품	31	2.8%
장	25	2.3%
금	25	2.3%
스	19	1.7%
Other values (127)	550	49.8%

Space Separator

Value	Count	Frequency (%)
	353	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Decimal Number

Value	Count	Frequency (%)
1	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1104	75.5%
Common	358	24.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
제	121	11.0%
업	115	10.4%
조	93	8.4%
및	53	4.8%
기	40	3.6%
용	32	2.9%
품	31	2.8%
장	25	2.3%
금	25	2.3%
스	19	1.7%
Other values (127)	550	49.8%

Common

Value	Count	Frequency (%)
	353	98.6%
/	2	0.6%
(	1	0.3%
)	1	0.3%
1	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1103	75.4%
ASCII	358	24.5%
Compat Jamo	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	353	98.6%
/	2	0.6%
(	1	0.3%
)	1	0.3%
1	1	0.3%

Hangul

Value	Count	Frequency (%)
제	121	11.0%
업	115	10.4%
조	93	8.4%
및	53	4.8%
기	40	3.6%
용	32	2.9%
품	31	2.8%
장	25	2.3%
금	25	2.3%
스	19	1.7%
Other values (126)	549	49.8%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	1	100.0%

웹검색 대표자명
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	10
Median length	3
Mean length	3.21
Min length	2

Characters and Unicode

Total characters	321
Distinct characters	103
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	100 ?
Unique (%)	100.0%

Sample

1st row	김소영
2nd row	강수진
3rd row	고은아
4th row	고영선
5th row	최대희

Value	Count	Frequency (%)
김소영	1	1.0%
조강식	1	1.0%
최병진	1	1.0%
김동우	1	1.0%
김상우	1	1.0%
박소영	1	1.0%
이봉직	1	1.0%
이의열	1	1.0%
김수남	1	1.0%
이상환	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
이	23	7.2%
김	15	4.7%
정	10	3.1%
영	8	2.5%
진	8	2.5%
현	7	2.2%
윤	7	2.2%
기	7	2.2%
수	7	2.2%
박	7	2.2%
Other values (93)	222	69.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	316	98.4%
Other Punctuation	5	1.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
이	23	7.3%
김	15	4.7%
정	10	3.2%
영	8	2.5%
진	8	2.5%
현	7	2.2%
윤	7	2.2%
기	7	2.2%
수	7	2.2%
박	7	2.2%
Other values (92)	217	68.7%

Other Punctuation

Value	Count	Frequency (%)
/	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	316	98.4%
Common	5	1.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
이	23	7.3%
김	15	4.7%
정	10	3.2%
영	8	2.5%
진	8	2.5%
현	7	2.2%
윤	7	2.2%
기	7	2.2%
수	7	2.2%
박	7	2.2%
Other values (92)	217	68.7%

Common

Value	Count	Frequency (%)
/	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	316	98.4%
ASCII	5	1.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
이	23	7.3%
김	15	4.7%
정	10	3.2%
영	8	2.5%
진	8	2.5%
현	7	2.2%
윤	7	2.2%
기	7	2.2%
수	7	2.2%
박	7	2.2%
Other values (92)	217	68.7%

ASCII

Value	Count	Frequency (%)
/	5	100.0%

웹검색 주소
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	44
Median length	26
Mean length	17.62
Min length	12

Characters and Unicode

Total characters	1762
Distinct characters	176
Distinct categories	8 ?
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	100 ?
Unique (%)	100.0%

Sample

1st row	경기 광명시 하안로 108, 705호
2nd row	충남 당진시 당산1로 1
3rd row	경기 김포시 대곶남로 632-54, B동
4th row	전남 여수시 영터길 35-31
5th row	강원 강릉시 미륵굼길 22

Value	Count	Frequency (%)
경기	28	6.5%
충남	11	2.5%
충북	9	2.1%
경북	9	2.1%
전남	8	1.8%
전북	6	1.4%
대구	5	1.2%
김포시	5	1.2%
울산	5	1.2%
경남	5	1.2%
Other values (286)	343	79.0%

Most occurring characters

Value	Count	Frequency (%)
	334	19.0%
1	79	4.5%
로	72	4.1%
시	64	3.6%
2	60	3.4%
길	48	2.7%
경	45	2.6%
산	42	2.4%
3	42	2.4%
4	39	2.2%
Other values (166)	937	53.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	982	55.7%
Decimal Number	399	22.6%
Space Separator	334	19.0%
Dash Punctuation	29	1.6%
Other Punctuation	12	0.7%
Uppercase Letter	4	0.2%
Open Punctuation	1	0.1%
Close Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	72	7.3%
시	64	6.5%
길	48	4.9%
경	45	4.6%
산	42	4.3%
구	36	3.7%
남	33	3.4%
기	32	3.3%
북	32	3.3%
군	25	2.5%
Other values (149)	553	56.3%

Decimal Number

Value	Count	Frequency (%)
1	79	19.8%
2	60	15.0%
3	42	10.5%
4	39	9.8%
5	37	9.3%
0	33	8.3%
7	31	7.8%
6	31	7.8%
8	26	6.5%
9	21	5.3%

Uppercase Letter

Value	Count	Frequency (%)
B	3	75.0%
A	1	25.0%

Space Separator

Value	Count	Frequency (%)
	334	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	12	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	982	55.7%
Common	776	44.0%
Latin	4	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	72	7.3%
시	64	6.5%
길	48	4.9%
경	45	4.6%
산	42	4.3%
구	36	3.7%
남	33	3.4%
기	32	3.3%
북	32	3.3%
군	25	2.5%
Other values (149)	553	56.3%

Common

Value	Count	Frequency (%)
	334	43.0%
1	79	10.2%
2	60	7.7%
3	42	5.4%
4	39	5.0%
5	37	4.8%
0	33	4.3%
7	31	4.0%
6	31	4.0%
-	29	3.7%
Other values (5)	61	7.9%

Latin

Value	Count	Frequency (%)
B	3	75.0%
A	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	982	55.7%
ASCII	780	44.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	334	42.8%
1	79	10.1%
2	60	7.7%
3	42	5.4%
4	39	5.0%
5	37	4.7%
0	33	4.2%
7	31	4.0%
6	31	4.0%
-	29	3.7%
Other values (7)	65	8.3%

Hangul

Value	Count	Frequency (%)
로	72	7.3%
시	64	6.5%
길	48	4.9%
경	45	4.6%
산	42	4.3%
구	36	3.7%
남	33	3.4%
기	32	3.3%
북	32	3.3%
군	25	2.5%
Other values (149)	553	56.3%

웹검색 전화번호
Text

MISSING

Distinct	58
Distinct (%)	100.0%
Missing	42
Missing (%)	42.0%
Memory size	932.0 B

Length

Max length	18
Median length	16
Mean length	16.034483
Min length	13

Characters and Unicode

Total characters	930
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	58 ?
Unique (%)	100.0%

Sample

1st row	+82 02-2678-5957
2nd row	+82 02-704-5609
3rd row	+82 033-647-2334
4th row	+82 031-677-0091
5th row	+82 055-585-6827

Value	Count	Frequency (%)
82	58	50.0%
063-536-0250	1	0.9%
061-792-5095	1	0.9%
053-588-8994	1	0.9%
063-545-3533	1	0.9%
061-533-0058	1	0.9%
054-859-2766	1	0.9%
063-546-3091	1	0.9%
063-546-3465	1	0.9%
054-974-8096	1	0.9%
Other values (49)	49	42.2%

Most occurring characters

Value	Count	Frequency (%)
-	119	12.8%
0	109	11.7%
2	106	11.4%
8	103	11.1%
3	80	8.6%
5	65	7.0%
+	58	6.2%
	58	6.2%
6	52	5.6%
1	51	5.5%
Other values (3)	129	13.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	695	74.7%
Dash Punctuation	119	12.8%
Math Symbol	58	6.2%
Space Separator	58	6.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	109	15.7%
2	106	15.3%
8	103	14.8%
3	80	11.5%
5	65	9.4%
6	52	7.5%
1	51	7.3%
4	49	7.1%
7	45	6.5%
9	35	5.0%

Dash Punctuation

Value	Count	Frequency (%)
-	119	100.0%

Math Symbol

Value	Count	Frequency (%)
+	58	100.0%

Space Separator

Value	Count	Frequency (%)
	58	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	930	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	119	12.8%
0	109	11.7%
2	106	11.4%
8	103	11.1%
3	80	8.6%
5	65	7.0%
+	58	6.2%
	58	6.2%
6	52	5.6%
1	51	5.5%
Other values (3)	129	13.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	930	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	119	12.8%
0	109	11.7%
2	106	11.4%
8	103	11.1%
3	80	8.6%
5	65	7.0%
+	58	6.2%
	58	6.2%
6	52	5.6%
1	51	5.5%
Other values (3)	129	13.9%

웹검색 X좌표
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1837515.3

Minimum	1617892.8
Maximum	1991544.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1617892.8
5-th percentile	1659284.5
Q1	1747204
median	1868271.2
Q3	1929896
95-th percentile	1970611.2
Maximum	1991544.6
Range	373651.88
Interquartile range (IQR)	182691.98

Descriptive statistics

Standard deviation	106255.68
Coefficient of variation (CV)	0.057825741
Kurtosis	-1.2046185
Mean	1837515.3
Median Absolute Deviation (MAD)	88745.032
Skewness	-0.36306465
Sum	1.8375153 × 10⁸
Variance	1.129027 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1938903.40779391	1	1.0%
1935959.37114259	1	1.0%
1904769.46925829	1	1.0%
1790493.04379843	1	1.0%
1938950.50031295	1	1.0%
1973571.53980397	1	1.0%
1810561.56971334	1	1.0%
1890909.92951476	1	1.0%
1774887.62501663	1	1.0%
1928687.92939208	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1617892.76302819	1	1.0%
1636911.28142483	1	1.0%
1652301.89501356	1	1.0%
1652764.45686196	1	1.0%
1656805.67024407	1	1.0%
1659414.92318368	1	1.0%
1663422.15695067	1	1.0%
1664385.99714253	1	1.0%
1674895.57345646	1	1.0%
1677821.37423001	1	1.0%

Value	Count	Frequency (%)
1991544.64743336	1	1.0%
1985807.66663271	1	1.0%
1978469.56998754	1	1.0%
1975397.48688316	1	1.0%
1973571.53980397	1	1.0%
1970455.41281955	1	1.0%
1968640.66421683	1	1.0%
1967828.48785428	1	1.0%
1967597.4166855	1	1.0%
1967390.52229823	1	1.0%

웹검색 Y좌표
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1004985.2

Minimum	899183.93
Maximum	1169067.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	899183.93
5-th percentile	915036.39
Q1	939401.3
median	978051.27
Q3	1078326.9
95-th percentile	1153517.5
Maximum	1169067.5
Range	269883.57
Interquartile range (IQR)	138925.61

Descriptive statistics

Standard deviation	79737.465
Coefficient of variation (CV)	0.079341927
Kurtosis	-0.86601701
Mean	1004985.2
Median Absolute Deviation (MAD)	47409.197
Skewness	0.66778747
Sum	1.0049852 × 10⁸
Variance	6.3580634 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
946241.899671075	1	1.0%
941703.988950586	1	1.0%
1055527.87520097	1	1.0%
1091649.43216809	1	1.0%
1049996.03591431	1	1.0%
975892.483629037	1	1.0%
1096195.80685617	1	1.0%
1001324.99485536	1	1.0%
1083279.84829564	1	1.0%
951867.687871575	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
899183.934351539	1	1.0%
900998.452073571	1	1.0%
908899.875483916	1	1.0%
910892.179392193	1	1.0%
911149.527157309	1	1.0%
915240.957110934	1	1.0%
916373.565735682	1	1.0%
918575.130468498	1	1.0%
920260.869241746	1	1.0%
921452.081018082	1	1.0%

Value	Count	Frequency (%)
1169067.50900987	1	1.0%
1168849.28693954	1	1.0%
1167558.53874441	1	1.0%
1166594.75846372	1	1.0%
1158232.0318095	1	1.0%
1153269.31662966	1	1.0%
1150307.73506776	1	1.0%
1146797.88185522	1	1.0%
1143496.71689219	1	1.0%
1136092.69575844	1	1.0%

Phik (φk)
Auto

Heatmap
Table

	사업장명	사업자등록번호	우편번호	사업장지번상세주소	사업장도로명상세주소	사업장업종코드	사업장업종코드명	웹검색 대표자명	웹검색 주소	웹검색 전화번호	웹검색 X좌표	웹검색 Y좌표
사업장명	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
사업자등록번호	1.000	1.000	0.498	0.994	0.957	0.266	0.000	1.000	1.000	1.000	0.671	0.614
우편번호	1.000	0.498	1.000	1.000	0.000	0.000	0.860	1.000	1.000	1.000	0.711	0.086
사업장지번상세주소	1.000	0.994	1.000	1.000	0.991	0.969	0.990	1.000	1.000	1.000	1.000	0.997
사업장도로명상세주소	1.000	0.957	0.000	0.991	1.000	0.774	0.967	1.000	1.000	1.000	0.933	0.902
사업장업종코드	1.000	0.266	0.000	0.969	0.774	1.000	1.000	1.000	1.000	1.000	0.000	0.149
사업장업종코드명	1.000	0.000	0.860	0.990	0.967	1.000	1.000	1.000	1.000	1.000	0.144	0.599
웹검색 대표자명	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
웹검색 주소	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
웹검색 전화번호	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
웹검색 X좌표	1.000	0.671	0.711	1.000	0.933	0.000	0.144	1.000	1.000	1.000	1.000	0.725
웹검색 Y좌표	1.000	0.614	0.086	0.997	0.902	0.149	0.599	1.000	1.000	1.000	0.725	1.000

Heatmap
Table

	사업자등록번호	우편번호	사업장업종코드	웹검색 X좌표	웹검색 Y좌표
사업자등록번호	1.000	0.231	-0.071	-0.294	0.243
우편번호	0.231	1.000	-0.084	-0.900	0.391
사업장업종코드	-0.071	-0.084	1.000	0.004	-0.285
웹검색 X좌표	-0.294	-0.900	0.004	1.000	-0.441
웹검색 Y좌표	0.243	0.391	-0.285	-0.441	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

	자료생성년월(자격마감일)	사업장명	사업자등록번호	우편번호	사업장지번상세주소	사업장도로명상세주소	사업장형태구분코드	사업장업종코드	사업장업종코드명	웹검색 대표자명	웹검색 주소	웹검색 전화번호	웹검색 X좌표	웹검색 Y좌표
0	202006	(주)프리존	654880	14319	경기도 광명시 소하동	경기도 광명시 하안로	1	292902	인쇄 및 제책용 기계 제조업	김소영	경기 광명시 하안로 108, 705호	<NA>	1938903.407794	946241.899671
1	202006	주식회사 세진씰	128813	31713	충청남도 당진시 송산면	충청남도 당진시 송산면 당산1로	1	289908	볼트 및 너트류 제조업	강수진	충남 당진시 당산1로 1	+82 02-2678-5957	1883550.9064	923274.549403
2	202006	주식회사데이터원	818860	10045	경기도 김포시 양촌읍	경기도 김포시 양촌읍 대곶남로	1	291902	산업용 냉장 및 냉동장비 제조업	고은아	경기 김포시 대곶남로 632-54, B동	+82 02-704-5609	1960396.948663	921452.081018
3	202006	케이이엔씨주식회사	401860	59657	전라남도 여수시 화양면	전라남도 여수시 화양면 영터길	1	291902	산업용 냉장 및 냉동장비 제조업	고영선	전남 여수시 영터길 35-31	<NA>	1636911.281425	1011583.065294
4	202006	대경상사(주)	226811	25623	강원도 강릉시 구정면	강원도 강릉시 구정면 미륵굼길	1	154502	장류 제조업	최대희	강원 강릉시 미륵굼길 22	+82 033-647-2334	1968640.664217	1123178.50414
5	202006	진영기업(주)	125810	17599	경기도 안성시 미양면	경기도 안성시 미양면 제2공단5길	1	281100	금속 문 창 셔터 및 관련제품 제조업	오상영	경기 안성시 제2공단5길 16-37	+82 031-677-0091	1886176.039323	978932.852682
6	202006	주식회사남성하이테크	731870	52062	경상남도 함안군 군북면	경상남도 함안군 군북면 유전2길	1	271101	제철업	남권희	경남 함안군 유전2길 23	+82 055-585-6827	1701317.516387	1076675.926898
7	202006	안성공업(주)	125812	17604	경기도 안성시 미양면	경기도 안성시 미양면 협동단지길	1	292100	농업 및 임업용 기계 제조업	임경석	경기 안성시 협동단지길 15	+82 031-677-7311	1884610.249058	977169.680081
8	202006	대영파워펌프(주)	136811	18544	경기도 화성시 마도면	경기도 화성시 마도면 마도로	1	291200	유압 기기 제조업	송경희	경기 화성시 마도로 421-13	+82 031-357-5000	1910513.68504	933434.249208
9	202006	아이엠아이크리티컬엔지니어링코리아	136811	10816	경기도 파주시 문산읍	경기도 파주시 문산읍 당동2로	1	291200	유압 기기 제조업	서정덕	경기 파주시 당동2로 14	+82 031-980-9800	1985807.666633	937026.981809

	자료생성년월(자격마감일)	사업장명	사업자등록번호	우편번호	사업장지번상세주소	사업장도로명상세주소	사업장형태구분코드	사업장업종코드	사업장업종코드명	웹검색 대표자명	웹검색 주소	웹검색 전화번호	웹검색 X좌표	웹검색 Y좌표
90	202006	(주)이호	310812	32010	충청남도 서산시 수석동	충청남도 서산시 운암로	1	261002	가정용 유리제품 제조업	박규태/유상만	충남 서산시 수석산업로 31-8	+82 041-663-0020	1865063.694029	911149.527157
91	202006	오산환경(주)	310810	32009	충청남도 서산시 장동	충청남도 서산시 낫머리길	1	900200	하수 처리업	이용한	충남 서산시 낫머리길 130-6	+82 041-665-9970	1860525.439717	908899.875484
92	202006	충무발효(주)	620810	44956	울산광역시 울주군 삼동면	울산광역시 울주군 삼동면 삼동로	1	154501	천연 및 혼합 조제 조미료 제조업	양승준	울산 울주군 삼동로 267-6	+82 052-264-4810	1723969.325984	1146797.881855
93	202006	신일(주)	620810	44252	울산광역시 북구 효문동	울산광역시 북구 활밤로	1	241102	기타 기초 무기화학 물질 제조업	이장남/이형진	울산 북구 활밤로 13	+82 052-287-6700	1731699.659811	1169067.50901
94	202006	주식회사다인시스템	664870	22830	인천광역시 서구 가좌동	인천광역시 서구 방축로	1	281100	금속 문 창 셔터 및 관련제품 제조업	윤수신	인천 서구 방축로 351	<NA>	1941962.312752	927695.810793
95	202006	대성석유화학(주)	610812	45009	울산광역시 울주군 온산읍	울산광역시 울주군 온산읍 화산1길	1	232200	윤활유 및 그리스 제조업	이종윤/김해근	울산 울주군 화산1길 62	+82 052-966-3001	1715713.696994	1166594.758464
96	202006	금정(주)	620811	44953	울산광역시 울주군 삼남면	울산광역시 울주군 삼남면 가천금사길	1	242903	그 외 기타 분류 안된 화학제품 제조업	장효동	울산 울주군 가천금사길 208-13	+82 052-264-8586	1726311.125493	1143496.716892
97	202006	(주)구일기공	506812	37746	경상북도 포항시 북구 죽도동	경상북도 포항시 북구 죽파로	1	281100	금속 문 창 셔터 및 관련제품 제조업	송재영	경북 포항시 북구 죽파로 29	+82 054-273-3280	1782906.885032	1167558.538744
98	202006	삼미정공(주)	620811	44222	울산광역시 북구 매곡동	울산광역시 북구 매곡산업3길	1	292901	산업용 로봇 제조업	김호현	울산 북구 매곡산업3길 9	+82 052-298-2311-5	1740650.452519	1168849.28694
99	202006	인벡스다이아몬드(주)	128812	10904	경기도 파주시 동패동	경기도 파주시 교하로425번길	1	289303	톱 및 호환성 공구 제조업	정진후	경기 파주시 교하로425번길 25-28	+82 031-945-2153	1967597.416685	932466.925152

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Open Punctuation

Close Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Other Punctuation

Open Punctuation

Close Punctuation

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Compat Jamo

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block