gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	7646
Missing cells	15625
Missing cells (%)	10.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	159.0 B

Variable types

Numeric	7
Categorical	5
Text	7

Dataset

Description	대구광역시_산업단지 기업 등록현황_20220224
Author	대구광역시
URL	http://data.daegu.go.kr/open/data/dataView.do?dataSetId=15073542&dataSetDetailId=150735421e0de4e035a92&provdMethod=FILE

Alerts

`지식산업센터명` is highly overall correlated with `남종업원` and 6 other fields	High correlation
`단지명` is highly overall correlated with `지식산업센터명` and 2 other fields	High correlation
`관할조직명` is highly overall correlated with `단지명` and 2 other fields	High correlation
`대표업종번호` is highly overall correlated with `사업유형`	High correlation
`남종업원` is highly overall correlated with `여종업원` and 2 other fields	High correlation
`여종업원` is highly overall correlated with `남종업원` and 1 other fields	High correlation
`외국인(남)` is highly overall correlated with `외국인(여)` and 1 other fields	High correlation
`외국인(여)` is highly overall correlated with `외국인(남)`	High correlation
`종업원수` is highly overall correlated with `남종업원` and 2 other fields	High correlation
`설립구분` is highly overall correlated with `단지명` and 2 other fields	High correlation
`사업유형` is highly overall correlated with `대표업종번호` and 1 other fields	High correlation
`지식산업센터명` is highly imbalanced (81.8%)	Imbalance
`설립구분` is highly imbalanced (85.5%)	Imbalance
`공장대표주소(도로명)` has 81 (1.1%) missing values	Missing
`남종업원` has 673 (8.8%) missing values	Missing
`여종업원` has 1610 (21.1%) missing values	Missing
`외국인(남)` has 4658 (60.9%) missing values	Missing
`외국인(여)` has 4800 (62.8%) missing values	Missing
`주원자재` has 3738 (48.9%) missing values	Missing
`남종업원` is highly skewed (γ1 = 63.92169835)	Skewed
`외국인(남)` is highly skewed (γ1 = 41.60058139)	Skewed
`종업원수` is highly skewed (γ1 = 59.99111529)	Skewed
`순번` has unique values	Unique
`남종업원` has 199 (2.6%) zeros	Zeros
`여종업원` has 737 (9.6%) zeros	Zeros
`외국인(남)` has 2629 (34.4%) zeros	Zeros
`외국인(여)` has 2724 (35.6%) zeros	Zeros
`종업원수` has 771 (10.1%) zeros	Zeros

Reproduction

Analysis started	2024-04-20 18:54:22.101180
Analysis finished	2024-04-20 18:54:40.602219
Duration	18.5 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

순번
Real number (ℝ)

UNIQUE

Distinct	7646
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3823.5

Minimum	1
Maximum	7646
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	1
5-th percentile	383.25
Q1	1912.25
median	3823.5
Q3	5734.75
95-th percentile	7263.75
Maximum	7646
Range	7645
Interquartile range (IQR)	3822.5

Descriptive statistics

Standard deviation	2207.3544
Coefficient of variation (CV)	0.57731252
Kurtosis	-1.2
Mean	3823.5
Median Absolute Deviation (MAD)	1911.5
Skewness	0
Sum	29234481
Variance	4872413.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
5095	1	< 0.1%
5107	1	< 0.1%
5106	1	< 0.1%
5105	1	< 0.1%
5104	1	< 0.1%
5103	1	< 0.1%
5102	1	< 0.1%
5101	1	< 0.1%
5100	1	< 0.1%
Other values (7636)	7636	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
7646	1	< 0.1%
7645	1	< 0.1%
7644	1	< 0.1%
7643	1	< 0.1%
7642	1	< 0.1%
7641	1	< 0.1%
7640	1	< 0.1%
7639	1	< 0.1%
7638	1	< 0.1%
7637	1	< 0.1%

단지명
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

성서지방산업단지	3110
서대구일반산업단지	1318
대구제3일반산업단지	905
북구검단지방산업단지	592
달성일반산업단지	370
Other values (15)	1351

Length

Max length	20
Median length	8
Mean length	8.9377452
Min length	8

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	성서지방산업단지
2nd row	성서지방산업단지
3rd row	서대구일반산업단지
4th row	서대구일반산업단지
5th row	대구제3일반산업단지

Common Values

Value	Count	Frequency (%)
성서지방산업단지	3110	40.7%
서대구일반산업단지	1318	17.2%
대구제3일반산업단지	905	11.8%
북구검단지방산업단지	592	7.7%
달성일반산업단지	370	4.8%
달성2차일반산업단지	280	3.7%
대구국가산업단지	208	2.7%
대구염색일반산업단지	153	2.0%
대구출판산업단지	126	1.6%
대구테크노폴리스일반산업단지	118	1.5%
Other values (10)	466	6.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
성서지방산업단지	3110	40.7%
서대구일반산업단지	1318	17.2%
대구제3일반산업단지	905	11.8%
북구검단지방산업단지	592	7.7%
달성일반산업단지	370	4.8%
달성2차일반산업단지	280	3.7%
대구국가산업단지	208	2.7%
대구염색일반산업단지	153	2.0%
대구출판산업단지	126	1.6%
성서5차첨단산업단지	118	1.5%
Other values (10)	466	6.1%

회사명
Text

Distinct	6859
Distinct (%)	89.7%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

Length

Max length	31
Median length	25
Mean length	6.5384515
Min length	2

Characters and Unicode

Total characters	49993
Distinct characters	692
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	6236 ?
Unique (%)	81.6%

Sample

1st row	(주)코리아엠에스케이
2nd row	( 주)명장
3rd row	(SM)컨설팅
4th row	(SW)홀마켓
5th row	(사)한국장애인문화협회

Value	Count	Frequency (%)
주식회사	219	2.7%
제2공장	32	0.4%
대구지점	18	0.2%
개인	17	0.2%
기숙사	16	0.2%
2공장	12	0.1%
대구공장	9	0.1%
제1공장	8	0.1%
주	8	0.1%
농업회사법인	6	0.1%
Other values (6921)	7886	95.8%

Most occurring characters

Value	Count	Frequency (%)
주	3724	7.4%
)	3609	7.2%
(	3607	7.2%
이	1501	3.0%
스	1252	2.5%
업	1006	2.0%
대	880	1.8%
산	828	1.7%
성	821	1.6%
에	787	1.6%
Other values (682)	31978	64.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	40670	81.4%
Close Punctuation	3609	7.2%
Open Punctuation	3607	7.2%
Uppercase Letter	992	2.0%
Space Separator	661	1.3%
Decimal Number	276	0.6%
Other Punctuation	102	0.2%
Lowercase Letter	53	0.1%
Dash Punctuation	22	< 0.1%
Other Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
주	3724	9.2%
이	1501	3.7%
스	1252	3.1%
업	1006	2.5%
대	880	2.2%
산	828	2.0%
성	821	2.0%
에	787	1.9%
공	744	1.8%
사	738	1.8%
Other values (620)	28389	69.8%

Uppercase Letter

Value	Count	Frequency (%)
E	101	10.2%
S	84	8.5%
T	81	8.2%
C	68	6.9%
N	63	6.4%
M	58	5.8%
D	55	5.5%
A	50	5.0%
G	48	4.8%
K	43	4.3%
Other values (16)	341	34.4%

Lowercase Letter

Value	Count	Frequency (%)
e	12	22.6%
h	5	9.4%
c	4	7.5%
o	4	7.5%
l	4	7.5%
i	4	7.5%
t	4	7.5%
n	2	3.8%
x	2	3.8%
s	2	3.8%
Other values (7)	10	18.9%

Decimal Number

Value	Count	Frequency (%)
2	122	44.2%
1	55	19.9%
3	24	8.7%
9	15	5.4%
4	13	4.7%
6	12	4.3%
5	12	4.3%
0	10	3.6%
7	8	2.9%
8	5	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	58	56.9%
&	33	32.4%
,	9	8.8%
/	2	2.0%

Close Punctuation

Value	Count	Frequency (%)
)	3609	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3607	100.0%

Space Separator

Value	Count	Frequency (%)
	661	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	40671	81.4%
Common	8277	16.6%
Latin	1045	2.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
주	3724	9.2%
이	1501	3.7%
스	1252	3.1%
업	1006	2.5%
대	880	2.2%
산	828	2.0%
성	821	2.0%
에	787	1.9%
공	744	1.8%
사	738	1.8%
Other values (621)	28390	69.8%

Latin

Value	Count	Frequency (%)
E	101	9.7%
S	84	8.0%
T	81	7.8%
C	68	6.5%
N	63	6.0%
M	58	5.6%
D	55	5.3%
A	50	4.8%
G	48	4.6%
K	43	4.1%
Other values (33)	394	37.7%

Common

Value	Count	Frequency (%)
)	3609	43.6%
(	3607	43.6%
	661	8.0%
2	122	1.5%
.	58	0.7%
1	55	0.7%
&	33	0.4%
3	24	0.3%
-	22	0.3%
9	15	0.2%
Other values (8)	71	0.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	40670	81.4%
ASCII	9322	18.6%
None	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
주	3724	9.2%
이	1501	3.7%
스	1252	3.1%
업	1006	2.5%
대	880	2.2%
산	828	2.0%
성	821	2.0%
에	787	1.9%
공	744	1.8%
사	738	1.8%
Other values (620)	28389	69.8%

ASCII

Value	Count	Frequency (%)
)	3609	38.7%
(	3607	38.7%
	661	7.1%
2	122	1.3%
E	101	1.1%
S	84	0.9%
T	81	0.9%
C	68	0.7%
N	63	0.7%
.	58	0.6%
Other values (51)	868	9.3%

None

Value	Count	Frequency (%)
㈜	1	100.0%

지식산업센터명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	21
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

<NA>	6900
디센터 1976	190
검단팩토리밸리	99
이앤씨 벤처드림타워8	96
MJ테크노파크	60
Other values (16)	301

Length

Max length	16
Median length	4
Mean length	4.4376144
Min length	4

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	디센터 1976
4th row	서대구산단 복합지식산업센터
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	6900	90.2%
디센터 1976	190	2.5%
검단팩토리밸리	99	1.3%
이앤씨 벤처드림타워8	96	1.3%
MJ테크노파크	60	0.8%
성서드림타운	59	0.8%
일신테크노밸리	54	0.7%
비젼지식산업센터	30	0.4%
(주)성서지식산업센터	29	0.4%
뉴비젼 지식산업센터	27	0.4%
Other values (11)	102	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	6900	86.2%
1976	190	2.4%
디센터	190	2.4%
검단팩토리밸리	99	1.2%
이앤씨	96	1.2%
벤처드림타워8	96	1.2%
mj테크노파크	60	0.8%
성서드림타운	59	0.7%
일신테크노밸리	54	0.7%
비젼지식산업센터	30	0.4%
Other values (17)	226	2.8%

공장대표주소(도로명)
Text

MISSING

Distinct	6503
Distinct (%)	86.0%
Missing	81
Missing (%)	1.1%
Memory size	59.9 KiB

Length

Max length	78
Median length	64
Mean length	33.6538
Min length	18

Characters and Unicode

Total characters	254591
Distinct characters	335
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	5676 ?
Unique (%)	75.0%

Sample

1st row	대구광역시 달서구 성서로67길 64, 1차단지 50B 3L 1차단지 50B 3L (갈산동)
2nd row	대구광역시 달서구 호산동로7길 42, (3차단지 95B 1-7L) (호림동)
3rd row	대구광역시 서구 와룡로 307, 1층 104호(중리동) 1층 104호
4th row	대구광역시 서구 와룡로90길 61, B2층 202호 (이현동) B2층 202호
5th row	대구광역시 북구 노원로1길 160 (노원동3가)

Value	Count	Frequency (%)
대구광역시	7565	15.0%
달서구	3231	6.4%
북구	1497	3.0%
서구	1464	2.9%
달성군	1188	2.4%
2차단지	1093	2.2%
1차단지	907	1.8%
노원동3가	859	1.7%
갈산동	773	1.5%
월암동	631	1.3%
Other values (3682)	31140	61.8%

Most occurring characters

Value	Count	Frequency (%)
	42827	16.8%
구	14755	5.8%
1	10625	4.2%
대	8996	3.5%
서	8108	3.2%
)	7914	3.1%
(	7912	3.1%
시	7602	3.0%
광	7574	3.0%
역	7568	3.0%
Other values (325)	130710	51.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	133668	52.5%
Decimal Number	48886	19.2%
Space Separator	42827	16.8%
Close Punctuation	7915	3.1%
Open Punctuation	7913	3.1%
Uppercase Letter	6257	2.5%
Other Punctuation	4330	1.7%
Dash Punctuation	2750	1.1%
Lowercase Letter	39	< 0.1%
Math Symbol	6	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	14755	11.0%
대	8996	6.7%
서	8108	6.1%
시	7602	5.7%
광	7574	5.7%
역	7568	5.7%
동	7495	5.6%
로	7210	5.4%
단	6020	4.5%
달	5723	4.3%
Other values (276)	52617	39.4%

Uppercase Letter

Value	Count	Frequency (%)
B	3032	48.5%
L	2913	46.6%
A	142	2.3%
F	66	1.1%
D	25	0.4%
M	16	0.3%
R	15	0.2%
C	9	0.1%
J	9	0.1%
P	6	0.1%
Other values (11)	24	0.4%

Decimal Number

Value	Count	Frequency (%)
1	10625	21.7%
2	7328	15.0%
3	6968	14.3%
5	4287	8.8%
4	3945	8.1%
0	3664	7.5%
7	3564	7.3%
6	3334	6.8%
9	2725	5.6%
8	2446	5.0%

Lowercase Letter

Value	Count	Frequency (%)
l	9	23.1%
w	7	17.9%
o	7	17.9%
r	7	17.9%
d	7	17.9%
b	2	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	4216	97.4%
/	82	1.9%
&	18	0.4%
.	12	0.3%
"	2	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	7914	> 99.9%
]	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	7912	> 99.9%
[	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	42827	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2750	100.0%

Math Symbol

Value	Count	Frequency (%)
~	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	133668	52.5%
Common	114627	45.0%
Latin	6296	2.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	14755	11.0%
대	8996	6.7%
서	8108	6.1%
시	7602	5.7%
광	7574	5.7%
역	7568	5.7%
동	7495	5.6%
로	7210	5.4%
단	6020	4.5%
달	5723	4.3%
Other values (276)	52617	39.4%

Latin

Value	Count	Frequency (%)
B	3032	48.2%
L	2913	46.3%
A	142	2.3%
F	66	1.0%
D	25	0.4%
M	16	0.3%
R	15	0.2%
C	9	0.1%
J	9	0.1%
l	9	0.1%
Other values (17)	60	1.0%

Common

Value	Count	Frequency (%)
	42827	37.4%
1	10625	9.3%
)	7914	6.9%
(	7912	6.9%
2	7328	6.4%
3	6968	6.1%
5	4287	3.7%
,	4216	3.7%
4	3945	3.4%
0	3664	3.2%
Other values (12)	14941	13.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	133667	52.5%
ASCII	120923	47.5%
Compat Jamo	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	42827	35.4%
1	10625	8.8%
)	7914	6.5%
(	7912	6.5%
2	7328	6.1%
3	6968	5.8%
5	4287	3.5%
,	4216	3.5%
4	3945	3.3%
0	3664	3.0%
Other values (39)	21237	17.6%

Hangul

Value	Count	Frequency (%)
구	14755	11.0%
대	8996	6.7%
서	8108	6.1%
시	7602	5.7%
광	7574	5.7%
역	7568	5.7%
동	7495	5.6%
로	7210	5.4%
단	6020	4.5%
달	5723	4.3%
Other values (275)	52616	39.4%

Compat Jamo

Value	Count	Frequency (%)
ㅣ	1	100.0%

공장대표주소(지번)
Text

Distinct	6629
Distinct (%)	86.7%
Missing	2
Missing (%)	< 0.1%
Memory size	59.9 KiB

Length

Max length	82
Median length	65
Mean length	27.189953
Min length	11

Characters and Unicode

Total characters	207840
Distinct characters	284
Distinct categories	10 ?
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	5867 ?
Unique (%)	76.8%

Sample

1st row	대구광역시 달서구 갈산동 100-1번지
2nd row	대구광역시 달서구 호림동 2-18번지
3rd row	대구광역시 서구 중리동 1166-1 1층 104호 1층 104호
4th row	대구광역시 서구 이현동 48-109 B2층 202호 B2층 202호
5th row	대구광역시 북구 노원동3가 39번지

Value	Count	Frequency (%)
대구광역시	7640	18.5%
달서구	3234	7.8%
북구	1533	3.7%
서구	1468	3.6%
달성군	1219	3.0%
노원동3가	891	2.2%
갈산동	815	2.0%
이현동	663	1.6%
중리동	662	1.6%
월암동	654	1.6%
Other values (6378)	22509	54.5%

Most occurring characters

Value	Count	Frequency (%)
	34009	16.4%
구	14758	7.1%
1	10891	5.2%
지	9068	4.4%
대	8213	4.0%
광	7642	3.7%
시	7641	3.7%
역	7641	3.7%
-	7372	3.5%
동	7104	3.4%
Other values (274)	93501	45.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	111433	53.6%
Decimal Number	48647	23.4%
Space Separator	34009	16.4%
Dash Punctuation	7372	3.5%
Uppercase Letter	4057	2.0%
Close Punctuation	1007	0.5%
Open Punctuation	1006	0.5%
Other Punctuation	266	0.1%
Lowercase Letter	39	< 0.1%
Math Symbol	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	14758	13.2%
지	9068	8.1%
대	8213	7.4%
광	7642	6.9%
시	7641	6.9%
역	7641	6.9%
동	7104	6.4%
번	6366	5.7%
서	4831	4.3%
달	4534	4.1%
Other values (228)	33635	30.2%

Uppercase Letter

Value	Count	Frequency (%)
B	1924	47.4%
L	1804	44.5%
A	179	4.4%
F	65	1.6%
D	21	0.5%
R	15	0.4%
M	14	0.3%
C	8	0.2%
J	7	0.2%
I	5	0.1%
Other values (8)	15	0.4%

Decimal Number

Value	Count	Frequency (%)
1	10891	22.4%
2	6443	13.2%
3	5892	12.1%
0	4958	10.2%
4	3926	8.1%
8	3492	7.2%
6	3491	7.2%
5	3420	7.0%
7	3409	7.0%
9	2725	5.6%

Lowercase Letter

Value	Count	Frequency (%)
l	9	23.1%
r	7	17.9%
d	7	17.9%
o	7	17.9%
w	7	17.9%
b	2	5.1%

Other Punctuation

Value	Count	Frequency (%)
,	206	77.4%
/	35	13.2%
&	16	6.0%
.	7	2.6%
"	2	0.8%

Close Punctuation

Value	Count	Frequency (%)
)	1006	99.9%
]	1	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	1005	99.9%
[	1	0.1%

Space Separator

Value	Count	Frequency (%)
	34009	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7372	100.0%

Math Symbol

Value	Count	Frequency (%)
~	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	111433	53.6%
Common	92311	44.4%
Latin	4096	2.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	14758	13.2%
지	9068	8.1%
대	8213	7.4%
광	7642	6.9%
시	7641	6.9%
역	7641	6.9%
동	7104	6.4%
번	6366	5.7%
서	4831	4.3%
달	4534	4.1%
Other values (228)	33635	30.2%

Latin

Value	Count	Frequency (%)
B	1924	47.0%
L	1804	44.0%
A	179	4.4%
F	65	1.6%
D	21	0.5%
R	15	0.4%
M	14	0.3%
l	9	0.2%
C	8	0.2%
r	7	0.2%
Other values (14)	50	1.2%

Common

Value	Count	Frequency (%)
	34009	36.8%
1	10891	11.8%
-	7372	8.0%
2	6443	7.0%
3	5892	6.4%
0	4958	5.4%
4	3926	4.3%
8	3492	3.8%
6	3491	3.8%
5	3420	3.7%
Other values (12)	8417	9.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	111433	53.6%
ASCII	96407	46.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	34009	35.3%
1	10891	11.3%
-	7372	7.6%
2	6443	6.7%
3	5892	6.1%
0	4958	5.1%
4	3926	4.1%
8	3492	3.6%
6	3491	3.6%
5	3420	3.5%
Other values (36)	12513	13.0%

Hangul

Value	Count	Frequency (%)
구	14758	13.2%
지	9068	8.1%
대	8213	7.4%
광	7642	6.9%
시	7641	6.9%
역	7641	6.9%
동	7104	6.4%
번	6366	5.7%
서	4831	4.3%
달	4534	4.1%
Other values (228)	33635	30.2%

대표업종번호
Real number (ℝ)

HIGH CORRELATION

Distinct	546
Distinct (%)	7.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	30066.347

Minimum	10112
Maximum	96911
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	10112
5-th percentile	13213
Q1	22241
median	27199
Q3	30310
95-th percentile	68112
Maximum	96911
Range	86799
Interquartile range (IQR)	8069

Descriptive statistics

Standard deviation	16178.882
Coefficient of variation (CV)	0.538106
Kurtosis	2.9466787
Mean	30066.347
Median Absolute Deviation (MAD)	3132
Skewness	1.7752154
Sum	2.2985722 × 10⁸
Variance	2.6175622 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68112	454	5.9%
30399	411	5.4%
25924	292	3.8%
29294	281	3.7%
13213	209	2.7%
28123	191	2.5%
25929	153	2.0%
13402	143	1.9%
25922	140	1.8%
29299	117	1.5%
Other values (536)	5254	68.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10112	1	< 0.1%
10121	11	0.1%
10122	3	< 0.1%
10129	19	0.2%
10211	4	0.1%
10212	1	< 0.1%
10213	2	< 0.1%
10219	1	< 0.1%
10301	3	< 0.1%
10302	1	< 0.1%

Value	Count	Frequency (%)
96911	3	< 0.1%
95213	5	0.1%
95212	13	0.2%
95211	41	0.5%
91139	1	< 0.1%
91136	2	< 0.1%
91135	1	< 0.1%
91111	1	< 0.1%
87210	1	< 0.1%
87111	1	< 0.1%

업종번호
Text

Distinct	1808
Distinct (%)	23.6%
Missing	1
Missing (%)	< 0.1%
Memory size	59.9 KiB

Length

Max length	299
Median length	5
Mean length	9.500981
Min length	5

Characters and Unicode

Total characters	72635
Distinct characters	11
Distinct categories	2 ?
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	1294 ?
Unique (%)	16.9%

Sample

1st row	13229
2nd row	30399+29294+30391+30392+30400
3rd row	71531
4th row	17222
5th row	17901+18111+18113+18119

Value	Count	Frequency (%)
68112	445	5.8%
30399+30391+30392+30400	267	3.5%
25924	262	3.4%
29294	242	3.2%
13213	184	2.4%
28123	150	2.0%
25922	136	1.8%
25929	134	1.8%
13402	129	1.7%
25923	85	1.1%
Other values (1798)	5611	73.4%

Most occurring characters

Value	Count	Frequency (%)
2	17262	23.8%
1	12364	17.0%
9	10486	14.4%
3	8636	11.9%
0	6005	8.3%
+	5735	7.9%
4	3937	5.4%
5	2952	4.1%
8	1951	2.7%
6	1814	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	66900	92.1%
Math Symbol	5735	7.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17262	25.8%
1	12364	18.5%
9	10486	15.7%
3	8636	12.9%
0	6005	9.0%
4	3937	5.9%
5	2952	4.4%
8	1951	2.9%
6	1814	2.7%
7	1493	2.2%

Math Symbol

Value	Count	Frequency (%)
+	5735	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	72635	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17262	23.8%
1	12364	17.0%
9	10486	14.4%
3	8636	11.9%
0	6005	8.3%
+	5735	7.9%
4	3937	5.4%
5	2952	4.1%
8	1951	2.7%
6	1814	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72635	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17262	23.8%
1	12364	17.0%
9	10486	14.4%
3	8636	11.9%
0	6005	8.3%
+	5735	7.9%
4	3937	5.4%
5	2952	4.1%
8	1951	2.7%
6	1814	2.5%

업종명
Text

Distinct	1245
Distinct (%)	16.3%
Missing	1
Missing (%)	< 0.1%
Memory size	59.9 KiB

Length

Max length	36
Median length	30
Mean length	15.950425
Min length	3

Characters and Unicode

Total characters	121941
Distinct characters	372
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	599 ?
Unique (%)	7.8%

Sample

1st row	기타 직물제품 제조업
2nd row	그 외 자동차용 신품 부품 제조업 외 4 종
3rd row	경영 컨설팅업
4th row	판지 상자 및 용기 제조업
5th row	문구용 종이제품 제조업 외 3 종

Value	Count	Frequency (%)
제조업	4906	12.5%
외	3719	9.5%
및	3053	7.8%
종	2532	6.5%
기타	1673	4.3%
1	1410	3.6%
그	1186	3.0%
신품	676	1.7%
부품	592	1.5%
자동차용	585	1.5%
Other values (894)	18806	48.1%

Most occurring characters

Value	Count	Frequency (%)
	31495	25.8%
업	8047	6.6%
제	6408	5.3%
조	5875	4.8%
외	3759	3.1%
기	3655	3.0%
및	3060	2.5%
종	2642	2.2%
품	2487	2.0%
용	2441	2.0%
Other values (362)	52072	42.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	86999	71.3%
Space Separator	31495	25.8%
Decimal Number	2672	2.2%
Other Punctuation	731	0.6%
Open Punctuation	22	< 0.1%
Close Punctuation	22	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
업	8047	9.2%
제	6408	7.4%
조	5875	6.8%
외	3759	4.3%
기	3655	4.2%
및	3060	3.5%
종	2642	3.0%
품	2487	2.9%
용	2441	2.8%
타	1698	2.0%
Other values (347)	46927	53.9%

Decimal Number

Value	Count	Frequency (%)
1	1546	57.9%
3	428	16.0%
2	378	14.1%
4	124	4.6%
5	75	2.8%
6	47	1.8%
7	32	1.2%
8	17	0.6%
0	13	0.5%
9	12	0.4%

Other Punctuation

Value	Count	Frequency (%)
,	718	98.2%
.	13	1.8%

Space Separator

Value	Count	Frequency (%)
	31495	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	22	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	86999	71.3%
Common	34942	28.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
업	8047	9.2%
제	6408	7.4%
조	5875	6.8%
외	3759	4.3%
기	3655	4.2%
및	3060	3.5%
종	2642	3.0%
품	2487	2.9%
용	2441	2.8%
타	1698	2.0%
Other values (347)	46927	53.9%

Common

Value	Count	Frequency (%)
	31495	90.1%
1	1546	4.4%
,	718	2.1%
3	428	1.2%
2	378	1.1%
4	124	0.4%
5	75	0.2%
6	47	0.1%
7	32	0.1%
(	22	0.1%
Other values (5)	77	0.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	86953	71.3%
ASCII	34942	28.7%
Compat Jamo	46	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31495	90.1%
1	1546	4.4%
,	718	2.1%
3	428	1.2%
2	378	1.1%
4	124	0.4%
5	75	0.2%
6	47	0.1%
7	32	0.1%
(	22	0.1%
Other values (5)	77	0.2%

Hangul

Value	Count	Frequency (%)
업	8047	9.3%
제	6408	7.4%
조	5875	6.8%
외	3759	4.3%
기	3655	4.2%
및	3060	3.5%
종	2642	3.0%
품	2487	2.9%
용	2441	2.8%
타	1698	2.0%
Other values (346)	46881	53.9%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	46	100.0%

관할조직명
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

대구성서산업단지관리공단	3354
서대구산업단지관리공단	1318
대구제3산업단지관리공단	905
(사)대구검단산업단지관리공단	686
한국산업단지공단 대구지역본부 달성사무소	494
Other values (9)	889

Length

Max length	30
Median length	12
Mean length	12.965603
Min length	7

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	대구성서산업단지관리공단
2nd row	대구성서산업단지관리공단
3rd row	서대구산업단지관리공단
4th row	서대구산업단지관리공단
5th row	대구제3산업단지관리공단

Common Values

Value	Count	Frequency (%)
대구성서산업단지관리공단	3354	43.9%
서대구산업단지관리공단	1318	17.2%
대구제3산업단지관리공단	905	11.8%
(사)대구검단산업단지관리공단	686	9.0%
한국산업단지공단 대구지역본부 달성사무소	494	6.5%
달성1차산업단지관리공단	370	4.8%
연구개발특구지원본부 대구기술사업화센터 운영지원팀	175	2.3%
대구염색산업단지관리공단	153	2.0%
대구경북경제자유구역청	101	1.3%
대구광역시 달성군	80	1.0%
Other values (4)	10	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
대구성서산업단지관리공단	3354	37.0%
서대구산업단지관리공단	1318	14.5%
대구제3산업단지관리공단	905	10.0%
사)대구검단산업단지관리공단	686	7.6%
한국산업단지공단	494	5.4%
대구지역본부	494	5.4%
달성사무소	494	5.4%
달성1차산업단지관리공단	370	4.1%
연구개발특구지원본부	175	1.9%
대구기술사업화센터	175	1.9%
Other values (14)	610	6.7%

설립구분
Categorical

HIGH CORRELATION IMBALANCE

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

일반산업단지	7188
국가산업단지	321
농공단지	81
지식산업센터	40
외국인투자지역	6
Other values (2)	10

Length

Max length	8
Median length	6
Mean length	5.9775046
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
일반산업단지	7188	94.0%
국가산업단지	321	4.2%
농공단지	81	1.1%
지식산업센터	40	0.5%
외국인투자지역	6	0.1%
일반	6	0.1%
도시첨단산업단지	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
일반산업단지	7188	94.0%
국가산업단지	321	4.2%
농공단지	81	1.1%
지식산업센터	40	0.5%
외국인투자지역	6	0.1%
일반	6	0.1%
도시첨단산업단지	4	0.1%

사업유형
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.9 KiB

제조업	6580
비제조업	1066

Length

Max length	4
Median length	3
Mean length	3.1394193
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
제조업	6580	86.1%
비제조업	1066	13.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
제조업	6580	86.1%
비제조업	1066	13.9%

남종업원
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	183
Distinct (%)	2.6%
Missing	673
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	15.242794

Minimum	0
Maximum	7210
Zeros	199
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	13
95-th percentile	47
Maximum	7210
Range	7210
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	94.623532
Coefficient of variation (CV)	6.2077552
Kurtosis	4801.3671
Mean	15.242794
Median Absolute Deviation (MAD)	4
Skewness	63.921698
Sum	106288
Variance	8953.6127
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	754	9.9%
3	727	9.5%
1	696	9.1%
4	582	7.6%
5	521	6.8%
6	384	5.0%
7	327	4.3%
8	299	3.9%
10	261	3.4%
9	201	2.6%
Other values (173)	2221	29.0%
(Missing)	673	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	199	2.6%
1	696	9.1%
2	754	9.9%
3	727	9.5%
4	582	7.6%
5	521	6.8%
6	384	5.0%
7	327	4.3%
8	299	3.9%
9	201	2.6%

Value	Count	Frequency (%)
7210	1	< 0.1%
1000	1	< 0.1%
826	1	< 0.1%
772	1	< 0.1%
760	1	< 0.1%
738	1	< 0.1%
680	1	< 0.1%
674	1	< 0.1%
656	1	< 0.1%
620	1	< 0.1%

여종업원
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	90
Distinct (%)	1.5%
Missing	1610
Missing (%)	21.1%
Infinite	0
Infinite (%)	0.0%
Mean	5.5616302

Minimum	0
Maximum	415
Zeros	737
Zeros (%)	9.6%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	5
95-th percentile	20
Maximum	415
Range	415
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	12.998898
Coefficient of variation (CV)	2.337246
Kurtosis	295.79821
Mean	5.5616302
Median Absolute Deviation (MAD)	1
Skewness	12.567619
Sum	33570
Variance	168.97135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1656	21.7%
2	922	12.1%
0	737	9.6%
3	589	7.7%
5	332	4.3%
4	330	4.3%
6	221	2.9%
10	156	2.0%
7	142	1.9%
8	131	1.7%
Other values (80)	820	10.7%
(Missing)	1610	21.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	737	9.6%
1	1656	21.7%
2	922	12.1%
3	589	7.7%
4	330	4.3%
5	332	4.3%
6	221	2.9%
7	142	1.9%
8	131	1.7%
9	94	1.2%

Value	Count	Frequency (%)
415	1	< 0.1%
374	1	< 0.1%
176	1	< 0.1%
161	1	< 0.1%
150	1	< 0.1%
132	1	< 0.1%
130	1	< 0.1%
120	1	< 0.1%
119	1	< 0.1%
115	1	< 0.1%

외국인(남)
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	26
Distinct (%)	0.9%
Missing	4658
Missing (%)	60.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.72155288

Minimum	0
Maximum	303
Zeros	2629
Zeros (%)	34.4%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5
Maximum	303
Range	303
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.0900598
Coefficient of variation (CV)	8.4402128
Kurtosis	2037.1786
Mean	0.72155288
Median Absolute Deviation (MAD)	0
Skewness	41.600581
Sum	2156
Variance	37.088829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	2629	34.4%
1	75	1.0%
3	53	0.7%
2	52	0.7%
5	41	0.5%
4	24	0.3%
6	22	0.3%
10	18	0.2%
8	15	0.2%
7	15	0.2%
Other values (16)	44	0.6%
(Missing)	4658	60.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2629	34.4%
1	75	1.0%
2	52	0.7%
3	53	0.7%
4	24	0.3%
5	41	0.5%
6	22	0.3%
7	15	0.2%
8	15	0.2%
9	10	0.1%

Value	Count	Frequency (%)
303	1	< 0.1%
60	1	< 0.1%
39	1	< 0.1%
28	1	< 0.1%
22	1	< 0.1%
20	4	0.1%
19	1	< 0.1%
18	2	< 0.1%
17	2	< 0.1%
16	3	< 0.1%

외국인(여)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	13
Distinct (%)	0.5%
Missing	4800
Missing (%)	62.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.11946592

Minimum	0
Maximum	20
Zeros	2724
Zeros (%)	35.6%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	20
Range	20
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.86838265
Coefficient of variation (CV)	7.2688736
Kurtosis	247.38557
Mean	0.11946592
Median Absolute Deviation (MAD)	0
Skewness	13.680081
Sum	340
Variance	0.75408843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	2724	35.6%
1	52	0.7%
2	33	0.4%
3	11	0.1%
4	9	0.1%
5	5	0.1%
6	3	< 0.1%
10	3	< 0.1%
20	2	< 0.1%
8	1	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	4800	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2724	35.6%
1	52	0.7%
2	33	0.4%
3	11	0.1%
4	9	0.1%
5	5	0.1%
6	3	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
20	2	< 0.1%
13	1	< 0.1%
12	1	< 0.1%
10	3	< 0.1%
8	1	< 0.1%
7	1	< 0.1%
6	3	< 0.1%
5	5	0.1%
4	9	0.1%
3	11	0.1%

종업원수
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	208
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.618101

Minimum	0
Maximum	7225
Zeros	771
Zeros (%)	10.1%
Negative	0
Negative (%)	0.0%
Memory size	67.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	7
Q3	17
95-th percentile	62
Maximum	7225
Range	7225
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	94.10402
Coefficient of variation (CV)	5.0544371
Kurtosis	4508.5689
Mean	18.618101
Median Absolute Deviation (MAD)	5
Skewness	59.991115
Sum	142354
Variance	8855.5666
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	771	10.1%
3	542	7.1%
4	540	7.1%
2	519	6.8%
5	470	6.1%
6	411	5.4%
1	396	5.2%
7	358	4.7%
10	316	4.1%
8	303	4.0%
Other values (198)	3020	39.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	771	10.1%
1	396	5.2%
2	519	6.8%
3	542	7.1%
4	540	7.1%
5	470	6.1%
6	411	5.4%
7	358	4.7%
8	303	4.0%
9	233	3.0%

Value	Count	Frequency (%)
7225	1	< 0.1%
1043	1	< 0.1%
1030	1	< 0.1%
876	1	< 0.1%
864	1	< 0.1%
851	1	< 0.1%
819	1	< 0.1%
730	1	< 0.1%
674	1	< 0.1%
668	1	< 0.1%

생산품
Text

Distinct	5236
Distinct (%)	69.0%
Missing	60
Missing (%)	0.8%
Memory size	59.9 KiB

Length

Max length	61
Median length	48
Mean length	7.6067756
Min length	1

Characters and Unicode

Total characters	57705
Distinct characters	760
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	4655 ?
Unique (%)	61.4%

Sample

1st row	덴탈마스크
2nd row	실린더, 댐퍼
3rd row	경영 컨설팅
4th row	포장완충재
5th row	스케치북, 수첩 등

Value	Count	Frequency (%)
자동차부품	334	2.8%
및	274	2.3%
등	202	1.7%
자동차	188	1.6%
금형	177	1.5%
부품	168	1.4%
임대	125	1.0%
임대업	125	1.0%
외	123	1.0%
기계부품	110	0.9%
Other values (5644)	10147	84.7%

Most occurring characters

Value	Count	Frequency (%)
	4470	7.7%
,	2081	3.6%
기	2003	3.5%
품	1782	3.1%
자	1623	2.8%
부	1584	2.7%
동	1515	2.6%
차	1114	1.9%
스	973	1.7%
용	804	1.4%
Other values (750)	39756	68.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	47751	82.8%
Space Separator	4470	7.7%
Other Punctuation	2209	3.8%
Uppercase Letter	1743	3.0%
Lowercase Letter	751	1.3%
Open Punctuation	358	0.6%
Close Punctuation	357	0.6%
Decimal Number	47	0.1%
Dash Punctuation	19	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	2003	4.2%
품	1782	3.7%
자	1623	3.4%
부	1584	3.3%
동	1515	3.2%
차	1114	2.3%
스	973	2.0%
용	804	1.7%
계	775	1.6%
제	735	1.5%
Other values (679)	34843	73.0%

Uppercase Letter

Value	Count	Frequency (%)
C	172	9.9%
P	161	9.2%
L	158	9.1%
E	149	8.5%
D	124	7.1%
T	117	6.7%
R	102	5.9%
S	89	5.1%
O	84	4.8%
A	78	4.5%
Other values (16)	509	29.2%

Lowercase Letter

Value	Count	Frequency (%)
e	91	12.1%
a	69	9.2%
l	65	8.7%
t	60	8.0%
r	59	7.9%
o	59	7.9%
n	39	5.2%
s	38	5.1%
p	37	4.9%
i	36	4.8%
Other values (15)	198	26.4%

Decimal Number

Value	Count	Frequency (%)
2	10	21.3%
0	8	17.0%
3	8	17.0%
4	5	10.6%
1	4	8.5%
8	4	8.5%
6	3	6.4%
9	2	4.3%
5	2	4.3%
7	1	2.1%

Other Punctuation

Value	Count	Frequency (%)
,	2081	94.2%
.	72	3.3%
/	44	2.0%
'	5	0.2%
&	4	0.2%
·	3	0.1%

Space Separator

Value	Count	Frequency (%)
	4470	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	358	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	357	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	47751	82.8%
Common	7460	12.9%
Latin	2494	4.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	2003	4.2%
품	1782	3.7%
자	1623	3.4%
부	1584	3.3%
동	1515	3.2%
차	1114	2.3%
스	973	2.0%
용	804	1.7%
계	775	1.6%
제	735	1.5%
Other values (679)	34843	73.0%

Latin

Value	Count	Frequency (%)
C	172	6.9%
P	161	6.5%
L	158	6.3%
E	149	6.0%
D	124	5.0%
T	117	4.7%
R	102	4.1%
e	91	3.6%
S	89	3.6%
O	84	3.4%
Other values (41)	1247	50.0%

Common

Value	Count	Frequency (%)
	4470	59.9%
,	2081	27.9%
(	358	4.8%
)	357	4.8%
.	72	1.0%
/	44	0.6%
-	19	0.3%
2	10	0.1%
0	8	0.1%
3	8	0.1%
Other values (10)	33	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	47750	82.7%
ASCII	9951	17.2%
None	3	< 0.1%
Compat Jamo	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4470	44.9%
,	2081	20.9%
(	358	3.6%
)	357	3.6%
C	172	1.7%
P	161	1.6%
L	158	1.6%
E	149	1.5%
D	124	1.2%
T	117	1.2%
Other values (60)	1804	18.1%

Hangul

Value	Count	Frequency (%)
기	2003	4.2%
품	1782	3.7%
자	1623	3.4%
부	1584	3.3%
동	1515	3.2%
차	1114	2.3%
스	973	2.0%
용	804	1.7%
계	775	1.6%
제	735	1.5%
Other values (678)	34842	73.0%

None

Value	Count	Frequency (%)
·	3	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㅔ	1	100.0%

주원자재
Text

MISSING

Distinct	2244
Distinct (%)	57.4%
Missing	3738
Missing (%)	48.9%
Memory size	59.9 KiB

Length

Max length	64
Median length	40
Mean length	6.4779939
Min length	1

Characters and Unicode

Total characters	25316
Distinct characters	580
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	1983 ?
Unique (%)	50.7%

Sample

1st row	부직포 외
2nd row	원단 필름
3rd row	지류
4th row	폴리에틸렌
5th row	알루미늄,폴리에스터 필름

Value	Count	Frequency (%)
철판	289	4.8%
등	235	3.9%
철	219	3.6%
알루미늄	141	2.3%
원단	138	2.3%
금속	129	2.1%
철강	121	2.0%
원사	115	1.9%
파이프	70	1.2%
염.조제	67	1.1%
Other values (2196)	4548	74.9%

Most occurring characters

Value	Count	Frequency (%)
	2192	8.7%
,	2160	8.5%
철	1115	4.4%
스	725	2.9%
판	632	2.5%
강	391	1.5%
원	390	1.5%
P	326	1.3%
이	320	1.3%
재	301	1.2%
Other values (570)	16764	66.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	16866	66.6%
Uppercase Letter	2472	9.8%
Other Punctuation	2313	9.1%
Space Separator	2192	8.7%
Lowercase Letter	850	3.4%
Decimal Number	381	1.5%
Close Punctuation	103	0.4%
Open Punctuation	103	0.4%
Dash Punctuation	31	0.1%
Math Symbol	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
철	1115	6.6%
스	725	4.3%
판	632	3.7%
강	391	2.3%
원	390	2.3%
이	320	1.9%
재	301	1.8%
미	292	1.7%
늄	291	1.7%
등	282	1.7%
Other values (496)	12127	71.9%

Uppercase Letter

Value	Count	Frequency (%)
P	326	13.2%
S	293	11.9%
C	264	10.7%
E	217	8.8%
L	206	8.3%
A	123	5.0%
B	116	4.7%
T	113	4.6%
I	98	4.0%
D	96	3.9%
Other values (16)	620	25.1%

Lowercase Letter

Value	Count	Frequency (%)
e	137	16.1%
l	82	9.6%
p	78	9.2%
s	77	9.1%
t	71	8.4%
o	54	6.4%
r	50	5.9%
i	43	5.1%
c	43	5.1%
a	38	4.5%
Other values (12)	177	20.8%

Decimal Number

Value	Count	Frequency (%)
0	89	23.4%
4	86	22.6%
1	50	13.1%
5	47	12.3%
3	38	10.0%
6	25	6.6%
2	23	6.0%
7	13	3.4%
8	9	2.4%
9	1	0.3%

Other Punctuation

Value	Count	Frequency (%)
,	2160	93.4%
.	129	5.6%
/	20	0.9%
'	1	< 0.1%
&	1	< 0.1%
*	1	< 0.1%
%	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	102	99.0%
]	1	1.0%

Open Punctuation

Value	Count	Frequency (%)
(	102	99.0%
[	1	1.0%

Math Symbol

Value	Count	Frequency (%)
~	2	50.0%
+	2	50.0%

Space Separator

Value	Count	Frequency (%)
	2192	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	31	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	16866	66.6%
Common	5128	20.3%
Latin	3322	13.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
철	1115	6.6%
스	725	4.3%
판	632	3.7%
강	391	2.3%
원	390	2.3%
이	320	1.9%
재	301	1.8%
미	292	1.7%
늄	291	1.7%
등	282	1.7%
Other values (496)	12127	71.9%

Latin

Value	Count	Frequency (%)
P	326	9.8%
S	293	8.8%
C	264	7.9%
E	217	6.5%
L	206	6.2%
e	137	4.1%
A	123	3.7%
B	116	3.5%
T	113	3.4%
I	98	3.0%
Other values (38)	1429	43.0%

Common

Value	Count	Frequency (%)
	2192	42.7%
,	2160	42.1%
.	129	2.5%
)	102	2.0%
(	102	2.0%
0	89	1.7%
4	86	1.7%
1	50	1.0%
5	47	0.9%
3	38	0.7%
Other values (16)	133	2.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	16865	66.6%
ASCII	8450	33.4%
Compat Jamo	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2192	25.9%
,	2160	25.6%
P	326	3.9%
S	293	3.5%
C	264	3.1%
E	217	2.6%
L	206	2.4%
e	137	1.6%
.	129	1.5%
A	123	1.5%
Other values (64)	2403	28.4%

Hangul

Value	Count	Frequency (%)
철	1115	6.6%
스	725	4.3%
판	632	3.7%
강	391	2.3%
원	390	2.3%
이	320	1.9%
재	301	1.8%
미	292	1.7%
늄	291	1.7%
등	282	1.7%
Other values (495)	12126	71.9%

Compat Jamo

Value	Count	Frequency (%)
ㄱ	1	100.0%

Heatmap
Table

	순번	단지명	지식산업센터명	대표업종번호	관할조직명	설립구분	사업유형	남종업원	여종업원	외국인(남)	외국인(여)	종업원수
순번	1.000	0.264	0.361	0.153	0.196	0.090	0.091	0.000	0.008	0.000	0.110	0.032
단지명	0.264	1.000	1.000	0.683	0.980	0.955	0.598	0.172	0.081	0.388	0.547	0.172
지식산업센터명	0.361	1.000	1.000	0.592	1.000	0.727	0.755	NaN	0.000	NaN	0.679	NaN
대표업종번호	0.153	0.683	0.592	1.000	0.515	0.174	0.998	0.000	0.334	0.000	0.000	0.000
관할조직명	0.196	0.980	1.000	0.515	1.000	0.936	0.566	0.180	0.017	0.331	0.322	0.177
설립구분	0.090	0.955	0.727	0.174	0.936	1.000	0.115	0.000	0.000	0.000	0.166	0.000
사업유형	0.091	0.598	0.755	0.998	0.566	0.115	1.000	0.000	0.027	0.000	0.000	0.000
남종업원	0.000	0.172	NaN	0.000	0.180	0.000	0.000	1.000	0.355	0.000	0.000	0.996
여종업원	0.008	0.081	0.000	0.334	0.017	0.000	0.027	0.355	1.000	0.000	0.185	0.501
외국인(남)	0.000	0.388	NaN	0.000	0.331	0.000	0.000	0.000	0.000	1.000	0.882	0.000
외국인(여)	0.110	0.547	0.679	0.000	0.322	0.166	0.000	0.000	0.185	0.882	1.000	0.000
종업원수	0.032	0.172	NaN	0.000	0.177	0.000	0.000	0.996	0.501	0.000	0.000	1.000

Heatmap
Table

	지식산업센터명	사업유형	단지명	설립구분	관할조직명
지식산업센터명	1.000	0.607	0.990	0.582	0.990
사업유형	0.607	1.000	0.477	0.123	0.446
단지명	0.990	0.477	1.000	0.815	0.857
설립구분	0.582	0.123	0.815	1.000	0.643
관할조직명	0.990	0.446	0.857	0.643	1.000

Heatmap
Table

	순번	대표업종번호	남종업원	여종업원	외국인(남)	외국인(여)	종업원수	단지명	지식산업센터명	관할조직명	설립구분	사업유형
순번	1.000	0.036	-0.206	-0.133	-0.068	-0.043	-0.211	0.086	0.121	0.080	0.045	0.070
대표업종번호	0.036	1.000	0.006	-0.196	0.014	0.022	-0.167	0.284	0.226	0.236	0.089	0.956
남종업원	-0.206	0.006	1.000	0.558	0.117	0.043	0.940	0.090	1.000	0.100	0.000	0.000
여종업원	-0.133	-0.196	0.558	1.000	0.164	0.152	0.763	0.037	0.000	0.010	0.000	0.020
외국인(남)	-0.068	0.014	0.117	0.164	1.000	0.602	0.218	0.229	1.000	0.210	0.000	0.000
외국인(여)	-0.043	0.022	0.043	0.152	0.602	1.000	0.131	0.194	0.476	0.141	0.112	0.000
종업원수	-0.211	-0.167	0.940	0.763	0.218	0.131	1.000	0.091	1.000	0.099	0.000	0.000
단지명	0.086	0.284	0.090	0.037	0.229	0.194	0.091	1.000	0.990	0.857	0.815	0.477
지식산업센터명	0.121	0.226	1.000	0.000	1.000	0.476	1.000	0.990	1.000	0.990	0.582	0.607
관할조직명	0.080	0.236	0.100	0.010	0.210	0.141	0.099	0.857	0.990	1.000	0.643	0.446
설립구분	0.045	0.089	0.000	0.000	0.000	0.112	0.000	0.815	0.582	0.643	1.000	0.123
사업유형	0.070	0.956	0.000	0.020	0.000	0.000	0.000	0.477	0.607	0.446	0.123	1.000

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.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	순번	단지명	회사명	지식산업센터명	공장대표주소(도로명)	공장대표주소(지번)	대표업종번호	업종번호	업종명	관할조직명	설립구분	사업유형	남종업원	여종업원	외국인(남)	외국인(여)	종업원수	생산품	주원자재
0	1	성서지방산업단지	(주)코리아엠에스케이	<NA>	대구광역시 달서구 성서로67길 64, 1차단지 50B 3L 1차단지 50B 3L (갈산동)	대구광역시 달서구 갈산동 100-1번지	13229	13229	기타 직물제품 제조업	대구성서산업단지관리공단	일반산업단지	제조업	3	10	<NA>	1	14	덴탈마스크	부직포 외
1	2	성서지방산업단지	( 주)명장	<NA>	대구광역시 달서구 호산동로7길 42, (3차단지 95B 1-7L) (호림동)	대구광역시 달서구 호림동 2-18번지	30399	30399+29294+30391+30392+30400	그 외 자동차용 신품 부품 제조업 외 4 종	대구성서산업단지관리공단	일반산업단지	제조업	27	7	<NA>	<NA>	34	실린더, 댐퍼	<NA>
2	3	서대구일반산업단지	(SM)컨설팅	디센터 1976	대구광역시 서구 와룡로 307, 1층 104호(중리동) 1층 104호	대구광역시 서구 중리동 1166-1 1층 104호 1층 104호	71531	71531	경영 컨설팅업	서대구산업단지관리공단	일반산업단지	비제조업	1	<NA>	<NA>	<NA>	1	경영 컨설팅	<NA>
3	4	서대구일반산업단지	(SW)홀마켓	서대구산단 복합지식산업센터	대구광역시 서구 와룡로90길 61, B2층 202호 (이현동) B2층 202호	대구광역시 서구 이현동 48-109 B2층 202호 B2층 202호	17222	17222	판지 상자 및 용기 제조업	서대구산업단지관리공단	일반산업단지	제조업	1	<NA>	<NA>	<NA>	1	포장완충재	원단 필름
4	5	대구제3일반산업단지	(사)한국장애인문화협회	<NA>	대구광역시 북구 노원로1길 160 (노원동3가)	대구광역시 북구 노원동3가 39번지	17901	17901+18111+18113+18119	문구용 종이제품 제조업 외 3 종	대구제3산업단지관리공단	일반산업단지	제조업	3	0	0	0	3	스케치북, 수첩 등	지류
5	6	달성2차일반산업단지	(사)한국지체장애인협회 달성군장애인재활자립작업장	<NA>	대구광역시 달성군 구지면 달성2차로 221 (주)영완	대구광역시 달성군 구지면 예현리 757-12 (주)영완	16292	16292+18119+22231+32029+33933	장식용 목제품 제조업 외 4 종	한국산업단지공단 대구지역본부 달성사무소	일반산업단지	제조업	37	21	0	0	58	쓰레기종량제봉투 외	폴리에틸렌
6	7	성서5차첨단산업단지	(유)대구특수금속	<NA>	대구광역시 달성군 다사읍 세천로3길 69, 성서5차첨단산업단지 6B 4L	대구광역시 달성군 다사읍 세천리 1670-4번지 성서5차첨단산업단지 6B 4L	29294	29294	주형 및 금형 제조업	대구성서산업단지관리공단	일반산업단지	제조업	141	43	<NA>	<NA>	184	자동차상업인쇄	<NA>
7	8	성서지방산업단지	(유)대구특수금속	<NA>	대구광역시 달서구 성서공단북로69길 39, 1차단지 35B 7L 1차단지 35B 7L (갈산동)	대구광역시 달서구 갈산동 100-62번지 1차단지 35B 7L	30399	30399+18112+26295+26299+29294+30391+30392+30400	그 외 자동차용 신품 부품 제조업 외 7 종	대구성서산업단지관리공단	일반산업단지	제조업	54	11	0	0	65	자동차부품, 명판,라벨류	알루미늄,폴리에스터 필름
8	9	대구염색일반산업단지	(유)대안에이엔씨	<NA>	대구광역시 서구 염색공단로21길 8, (유)대안에이엔씨 (비산동)	대구광역시 서구 비산동 3194-6번지 (유)대안에이엔씨	13403	13403	날염 가공업	대구염색산업단지관리공단	일반산업단지	제조업	28	3	4	<NA>	35	나염	<NA>
9	10	성서지방산업단지	(유)딘텍스코리아	<NA>	대구광역시 달서구 성서공단남로32길 50, (2차단지 44B 6L) (월암동)	대구광역시 달서구 월암동 922-5번지 (2차단지 44B 6L)	18111	18111+18113	경 인쇄업 외 1 종	대구성서산업단지관리공단	일반산업단지	제조업	19	4	<NA>	<NA>	23	경인쇄	<NA>

	순번	단지명	회사명	지식산업센터명	공장대표주소(도로명)	공장대표주소(지번)	대표업종번호	업종번호	업종명	관할조직명	설립구분	사업유형	남종업원	여종업원	외국인(남)	외국인(여)	종업원수	생산품	주원자재
7636	7637	달성일반산업단지	흥진섬유	<NA>	대구광역시 달성군 논공읍 논공로117길 40	대구광역시 달성군 논공읍 북리 1-122번지	68112	68112	비주거용 건물 임대업	달성1차산업단지관리공단	일반산업단지	비제조업	5	11	0	0	16	연사	원사
7637	7638	대구제3일반산업단지	흥진하이텍	<NA>	대구광역시 북구 3공단로 210-2 (노원동3가)	대구광역시 북구 노원동3가 53-4번지	30399	30399+30391+30392+30400	그 외 자동차용 신품 부품 제조업 외 3 종	대구제3산업단지관리공단	일반산업단지	제조업	2	1	0	0	3	자동차부품	철판
7638	7639	성서지방산업단지	흥창정밀	성서드림타운	대구광역시 달서구 성서공단남로 37, 1층 123 (월암동)	대구광역시 달서구 월암동 1-224번지 1층 123	25924	25924	절삭가공 및 유사처리업	대구성서산업단지관리공단	일반산업단지	제조업	1	1	<NA>	<NA>	2	절삭가공	<NA>
7639	7640	성서지방산업단지	희성글로벌	<NA>	대구광역시 달서구 성서로35길 49, 2차단지 23-2B 12-1L (월암동)	대구광역시 달서구 월암동 1-218번지 2차단지 23-2B 12-1L	13999	13999	그 외 기타 분류 안된 섬유제품 제조업	대구성서산업단지관리공단	일반산업단지	제조업	19	1	0	0	20	편조원단	<NA>
7640	7641	성서지방산업단지	희성전자(주)대구2공장	<NA>	대구광역시 달서구 성서공단북로 61, (3차단지 60B 5L) (호산동)	대구광역시 달서구 호산동 357-70번지 (3차단지 60B 5L)	26211	26211	액정 표시장치 제조업	대구성서산업단지관리공단	일반산업단지	제조업	50	20	0	0	70	액정표시장치	철
7641	7642	성서지방산업단지	희성전자(주)대구공장	<NA>	대구광역시 달서구 성서공단로11길 63, (3차단지 81B 1L) (호산동)	대구광역시 달서구 호산동 710번지	26211	26211+28410+28422	액정 표시장치 제조업 외 2 종	대구성서산업단지관리공단	일반산업단지	제조업	656	374	0	0	1030	B L U, LED조명장치	철
7642	7643	대구제3일반산업단지	희창기계	<NA>	대구광역시 북구 노원로9길 70 (노원동3가)	대구광역시 북구 노원동3가 200-5번지	29261	29261	산업용 섬유 세척, 염색, 정리 및 가공 기계 제조업	대구제3산업단지관리공단	일반산업단지	제조업	2	0	0	0	2	섬유기계	철재류
7643	7644	대구제3일반산업단지	희현테크	<NA>	대구광역시 북구 3공단로 97-12 (노원동3가)	대구광역시 북구 노원동3가 244-12	25924	25924	절삭가공 및 유사처리업	대구제3산업단지관리공단	일반산업단지	제조업	<NA>	1	<NA>	<NA>	1	기계부품	금속
7644	7645	성서지방산업단지	힉스정밀	<NA>	대구광역시 달서구 성서공단남로 170, 2차단지 39B 4L (월암동)	대구광역시 달서구 월암동 916-3번지 2차단지 39B 4L	29142	29142	기어 및 동력전달장치 제조업	대구성서산업단지관리공단	일반산업단지	제조업	7	1	<NA>	<NA>	8	풀리(PULLEY)	<NA>
7645	7646	대구제3일반산업단지	힐링워커	<NA>	대구광역시 북구 3공단로33길 27-2(노원동3가)	대구광역시 북구 노원동3가 59-8	29210	29210+30399+31202+31322	농업 및 임업용 기계 제조업 외 3 종	대구제3산업단지관리공단	일반산업단지	제조업	<NA>	<NA>	<NA>	<NA>	0	프레스금형	금속

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Close Punctuation

Open Punctuation

Space Separator

Dash Punctuation

Other Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Lowercase Letter

Other Punctuation

Close Punctuation

Open Punctuation

Space Separator

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin

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

Uppercase Letter

Decimal Number

Lowercase Letter

Other Punctuation

Close Punctuation

Open Punctuation

Space Separator

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts