gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	88
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	14.0 KiB
Average record size in memory	162.5 B

Variable types

Categorical	3
Text	7
Numeric	9

Dataset

Description	상위단지, 시도, 시군, 단지명, 조성상태, 지정면적, 관리면적 등 전국 국가 산업단지현황통계 중 저희 기관이 관할하는 국가산업단지 자료를 분기별로 제공하고 있습니다.
Author	한국산업단지공단
URL	https://www.data.go.kr/data/15085874/fileData.do

Alerts

`유형` has constant value ""	Constant
`지정면적(천제곱미터)` is highly overall correlated with `관리면적(천제곱미터)` and 3 other fields	High correlation
`관리면적(천제곱미터)` is highly overall correlated with `지정면적(천제곱미터)` and 3 other fields	High correlation
`산업시설구역_전체면적(천제곱미터)` is highly overall correlated with `지정면적(천제곱미터)` and 5 other fields	High correlation
`산업시설구역_분양대상(천제곱미터)` is highly overall correlated with `지정면적(천제곱미터)` and 6 other fields	High correlation
`산업시설구역_분양(천제곱미터)` is highly overall correlated with `지정면적(천제곱미터)` and 6 other fields	High correlation
`산업시설구역_미분양(천제곱미터)` is highly overall correlated with `산업시설구역_분양률(퍼센트)`	High correlation
`산업시설구역_분양률(퍼센트)` is highly overall correlated with `산업시설구역_분양대상(천제곱미터)` and 4 other fields	High correlation
`입주업체(개)` is highly overall correlated with `산업시설구역_전체면적(천제곱미터)` and 4 other fields	High correlation
`가동업체(개)` is highly overall correlated with `산업시설구역_전체면적(천제곱미터)` and 4 other fields	High correlation
`단지명` has unique values	Unique
`산업시설구역_전체면적(천제곱미터)` has 3 (3.4%) zeros	Zeros
`산업시설구역_분양대상(천제곱미터)` has 9 (10.2%) zeros	Zeros
`산업시설구역_분양(천제곱미터)` has 13 (14.8%) zeros	Zeros
`산업시설구역_미분양(천제곱미터)` has 60 (68.2%) zeros	Zeros
`산업시설구역_분양률(퍼센트)` has 13 (14.8%) zeros	Zeros
`입주업체(개)` has 18 (20.5%) zeros	Zeros
`가동업체(개)` has 18 (20.5%) zeros	Zeros

Reproduction

Analysis started	2024-03-23 05:45:54.095980
Analysis finished	2024-03-23 05:46:13.886828
Duration	19.79 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

유형
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

국가	88

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
국가	88	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
국가	88	100.0%

시도
Categorical

Distinct	17
Distinct (%)	19.3%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

경남	12
경북	12
경기	11
전북	10
전남	9
Other values (12)	34

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	3 ?
Unique (%)	3.4%

Sample

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

Common Values

Value	Count	Frequency (%)
경남	12	13.6%
경북	12	13.6%
경기	11	12.5%
전북	10	11.4%
전남	9	10.2%
충남	7	8.0%
광주	5	5.7%
인천	4	4.5%
충북	3	3.4%
부산	3	3.4%
Other values (7)	12	13.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경남	12	13.6%
경북	12	13.6%
경기	11	12.5%
전북	10	11.4%
전남	9	10.2%
충남	7	8.0%
광주	5	5.7%
인천	4	4.5%
강원	3	3.4%
충북	3	3.4%
Other values (7)	12	13.6%

시군
Text

Distinct	45
Distinct (%)	51.1%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	7
Median length	3
Mean length	3.0795455
Min length	2

Characters and Unicode

Total characters	271
Distinct characters	55
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	23 ?
Unique (%)	26.1%

Sample

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

Value	Count	Frequency (%)
구미시	8	8.8%
군산시	5	5.5%
영암군	4	4.4%
익산시	4	4.4%
당진시	4	4.4%
창원시	4	4.4%
북구	3	3.3%
평택시	3	3.3%
강서구	3	3.3%
거제시	3	3.3%
Other values (35)	50	54.9%

Most occurring characters

Value	Count	Frequency (%)
시	63	23.2%
구	29	10.7%
군	15	5.5%
산	14	5.2%
주	11	4.1%
미	8	3.0%
진	8	3.0%
평	7	2.6%
해	6	2.2%
영	6	2.2%
Other values (45)	104	38.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	268	98.9%
Space Separator	3	1.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	63	23.5%
구	29	10.8%
군	15	5.6%
산	14	5.2%
주	11	4.1%
미	8	3.0%
진	8	3.0%
평	7	2.6%
해	6	2.2%
영	6	2.2%
Other values (44)	101	37.7%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	268	98.9%
Common	3	1.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	63	23.5%
구	29	10.8%
군	15	5.6%
산	14	5.2%
주	11	4.1%
미	8	3.0%
진	8	3.0%
평	7	2.6%
해	6	2.2%
영	6	2.2%
Other values (44)	101	37.7%

Common

Value	Count	Frequency (%)
	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	268	98.9%
ASCII	3	1.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	63	23.5%
구	29	10.8%
군	15	5.6%
산	14	5.2%
주	11	4.1%
미	8	3.0%
진	8	3.0%
평	7	2.6%
해	6	2.2%
영	6	2.2%
Other values (44)	101	37.7%

ASCII

Value	Count	Frequency (%)
	3	100.0%

단지명
Text

UNIQUE

Distinct	88
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	27
Median length	18
Mean length	10.920455
Min length	2

Characters and Unicode

Total characters	961
Distinct characters	160
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

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

Unique

Unique	88 ?
Unique (%)	100.0%

Sample

1st row	한국수출산업 (①)
2nd row	서울디지털 (①)
3rd row	명지·녹산 (① + ②)
4th row	녹산지구(산업단지) (①)
5th row	명지지구 (②)

Value	Count	Frequency (%)
①	32	18.0%
②	25	14.0%
	18	10.1%
③	9	5.1%
한국수출산업	2	1.1%
빛그린	2	1.1%
아산국가	2	1.1%
구역	2	1.1%
④	2	1.1%
명지·녹산	2	1.1%
Other values (82)	82	46.1%

Most occurring characters

Value	Count	Frequency (%)
	195	20.3%
)	72	7.5%
(	72	7.5%
지	36	3.7%
구	33	3.4%
①	32	3.3%
②	25	2.6%
산	24	2.5%
국	22	2.3%
단	21	2.2%
Other values (150)	429	44.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	505	52.5%
Space Separator	195	20.3%
Close Punctuation	77	8.0%
Open Punctuation	77	8.0%
Other Number	68	7.1%
Math Symbol	18	1.9%
Decimal Number	13	1.4%
Other Punctuation	3	0.3%
Uppercase Letter	3	0.3%
Dash Punctuation	2	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	36	7.1%
구	33	6.5%
산	24	4.8%
국	22	4.4%
단	21	4.2%
가	17	3.4%
업	15	3.0%
주	14	2.8%
미	10	2.0%
대	8	1.6%
Other values (130)	305	60.4%

Other Number

Value	Count	Frequency (%)
①	32	47.1%
②	25	36.8%
③	9	13.2%
④	2	2.9%

Decimal Number

Value	Count	Frequency (%)
2	6	46.2%
4	4	30.8%
1	2	15.4%
3	1	7.7%

Uppercase Letter

Value	Count	Frequency (%)
V	1	33.3%
T	1	33.3%
M	1	33.3%

Close Punctuation

Value	Count	Frequency (%)
)	72	93.5%
]	5	6.5%

Open Punctuation

Value	Count	Frequency (%)
(	72	93.5%
[	5	6.5%

Other Punctuation

Value	Count	Frequency (%)
·	2	66.7%
:	1	33.3%

Space Separator

Value	Count	Frequency (%)
	195	100.0%

Math Symbol

Value	Count	Frequency (%)
+	18	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	505	52.5%
Common	453	47.1%
Latin	3	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	36	7.1%
구	33	6.5%
산	24	4.8%
국	22	4.4%
단	21	4.2%
가	17	3.4%
업	15	3.0%
주	14	2.8%
미	10	2.0%
대	8	1.6%
Other values (130)	305	60.4%

Common

Value	Count	Frequency (%)
	195	43.0%
)	72	15.9%
(	72	15.9%
①	32	7.1%
②	25	5.5%
+	18	4.0%
③	9	2.0%
2	6	1.3%
[	5	1.1%
]	5	1.1%
Other values (7)	14	3.1%

Latin

Value	Count	Frequency (%)
V	1	33.3%
T	1	33.3%
M	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	504	52.4%
ASCII	386	40.2%
Enclosed Alphanum	68	7.1%
None	2	0.2%
Compat Jamo	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	195	50.5%
)	72	18.7%
(	72	18.7%
+	18	4.7%
2	6	1.6%
[	5	1.3%
]	5	1.3%
4	4	1.0%
-	2	0.5%
1	2	0.5%
Other values (5)	5	1.3%

Hangul

Value	Count	Frequency (%)
지	36	7.1%
구	33	6.5%
산	24	4.8%
국	22	4.4%
단	21	4.2%
가	17	3.4%
업	15	3.0%
주	14	2.8%
미	10	2.0%
대	8	1.6%
Other values (129)	304	60.3%

Enclosed Alphanum

Value	Count	Frequency (%)
①	32	47.1%
②	25	36.8%
③	9	13.2%
④	2	2.9%

None

Value	Count	Frequency (%)
·	2	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	1	100.0%

조성상태
Categorical

Distinct	3
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

완료	52
조성중	31
미개발	5

Length

Max length	3
Median length	2
Mean length	2.4090909
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
완료	52	59.1%
조성중	31	35.2%
미개발	5	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
완료	52	59.1%
조성중	31	35.2%
미개발	5	5.7%

지정면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION

Distinct	84
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12526.33

Minimum	80
Maximum	150799
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	80
5-th percentile	625.45
Q1	1757.5
median	3779.5
Q3	9675.5
95-th percentile	50959.5
Maximum	150799
Range	150719
Interquartile range (IQR)	7918

Descriptive statistics

Standard deviation	24750.867
Coefficient of variation (CV)	1.9759074
Kurtosis	16.22002
Mean	12526.33
Median Absolute Deviation (MAD)	2641.5
Skewness	3.8029105
Sum	1102317
Variance	6.1260542 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1925	2	2.3%
1845	2	2.3%
2229	2	2.3%
1672	2	2.3%
18243	1	1.1%
10089	1	1.1%
3693	1	1.1%
96405	1	1.1%
1838	1	1.1%
1614	1	1.1%
Other values (74)	74	84.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80	1	1.1%
116	1	1.1%
248	1	1.1%
267	1	1.1%
609	1	1.1%
656	1	1.1%
820	1	1.1%
835	1	1.1%
848	1	1.1%
912	1	1.1%

Value	Count	Frequency (%)
150799	1	1.1%
125445	1	1.1%
96405	1	1.1%
51715	1	1.1%
51229	1	1.1%
50459	1	1.1%
49683	1	1.1%
48444	1	1.1%
35870	1	1.1%
28755	1	1.1%

관리면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION

Distinct	82
Distinct (%)	93.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7067.6477

Minimum	77
Maximum	49683
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	77
5-th percentile	589.5
Q1	1637.5
median	2754
Q3	8643.75
95-th percentile	27313.3
Maximum	49683
Range	49606
Interquartile range (IQR)	7006.25

Descriptive statistics

Standard deviation	9679.9725
Coefficient of variation (CV)	1.3696173
Kurtosis	7.1250911
Mean	7067.6477
Median Absolute Deviation (MAD)	1920
Skewness	2.5573954
Sum	621953
Variance	93701868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1925	2	2.3%
821	2	2.3%
1646	2	2.3%
2754	2	2.3%
1672	2	2.3%
1845	2	2.3%
9203	1	1.1%
17208	1	1.1%
10089	1	1.1%
3692	1	1.1%
Other values (72)	72	81.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
77	1	1.1%
116	1	1.1%
237	1	1.1%
266	1	1.1%
579	1	1.1%
609	1	1.1%
656	1	1.1%
821	2	2.3%
847	1	1.1%
912	1	1.1%

Value	Count	Frequency (%)
49683	1	1.1%
45595	1	1.1%
38010	1	1.1%
32304	1	1.1%
28168	1	1.1%
25726	1	1.1%
20513	1	1.1%
18465	1	1.1%
17796	1	1.1%
17624	1	1.1%

산업시설구역_전체면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	82
Distinct (%)	93.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4390.5341

Minimum	0
Maximum	34710
Zeros	3
Zeros (%)	3.4%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	107.55
Q1	991.25
median	1556.5
Q3	4684.5
95-th percentile	19542.3
Maximum	34710
Range	34710
Interquartile range (IQR)	3693.25

Descriptive statistics

Standard deviation	6318.8674
Coefficient of variation (CV)	1.4392024
Kurtosis	7.3130776
Mean	4390.5341
Median Absolute Deviation (MAD)	1224.5
Skewness	2.5881976
Sum	386367
Variance	39928085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3	3.4%
1448	2	2.3%
1502	2	2.3%
1215	2	2.3%
4317	2	2.3%
1497	1	1.1%
1381	1	1.1%
8892	1	1.1%
7800	1	1.1%
1371	1	1.1%
Other values (72)	72	81.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	3.4%
44	1	1.1%
103	1	1.1%
116	1	1.1%
184	1	1.1%
190	1	1.1%
375	1	1.1%
379	1	1.1%
391	1	1.1%
394	1	1.1%

Value	Count	Frequency (%)
34710	1	1.1%
23731	1	1.1%
23336	1	1.1%
21191	1	1.1%
20628	1	1.1%
17526	1	1.1%
16909	1	1.1%
16058	1	1.1%
10506	1	1.1%
10171	1	1.1%

산업시설구역_분양대상(천제곱미터)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	76
Distinct (%)	86.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4092.3409

Minimum	0
Maximum	34530
Zeros	9
Zeros (%)	10.2%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	631
median	1474.5
Q3	4352.5
95-th percentile	17910.65
Maximum	34530
Range	34530
Interquartile range (IQR)	3721.5

Descriptive statistics

Standard deviation	6135.304
Coefficient of variation (CV)	1.4992162
Kurtosis	7.9109958
Mean	4092.3409
Median Absolute Deviation (MAD)	1335
Skewness	2.6460239
Sum	360126
Variance	37641955
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9	10.2%
1448	2	2.3%
4317	2	2.3%
477	2	2.3%
1215	2	2.3%
6616	1	1.1%
7800	1	1.1%
1371	1	1.1%
18296	1	1.1%
1006	1	1.1%
Other values (66)	66	75.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	10.2%
44	1	1.1%
103	1	1.1%
116	1	1.1%
190	1	1.1%
375	1	1.1%
391	1	1.1%
424	1	1.1%
477	2	2.3%
502	1	1.1%

Value	Count	Frequency (%)
34530	1	1.1%
23010	1	1.1%
21045	1	1.1%
20447	1	1.1%
18296	1	1.1%
17195	1	1.1%
16608	1	1.1%
16058	1	1.1%
10506	1	1.1%
9994	1	1.1%

산업시설구역_분양(천제곱미터)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	70
Distinct (%)	79.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3991.5568

Minimum	0
Maximum	34530
Zeros	13
Zeros (%)	14.8%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	470
median	1450
Q3	4317
95-th percentile	17724.1
Maximum	34530
Range	34530
Interquartile range (IQR)	3847

Descriptive statistics

Standard deviation	6158.154
Coefficient of variation (CV)	1.542795
Kurtosis	7.9073679
Mean	3991.5568
Median Absolute Deviation (MAD)	1450
Skewness	2.6463288
Sum	351257
Variance	37922861
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	13	14.8%
1448	2	2.3%
4317	2	2.3%
30	2	2.3%
470	2	2.3%
1031	2	2.3%
935	2	2.3%
6592	1	1.1%
18009	1	1.1%
982	1	1.1%
Other values (60)	60	68.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	14.8%
23	1	1.1%
30	2	2.3%
44	1	1.1%
375	1	1.1%
383	1	1.1%
391	1	1.1%
439	1	1.1%
470	2	2.3%
522	1	1.1%

Value	Count	Frequency (%)
34530	1	1.1%
23010	1	1.1%
21045	1	1.1%
20447	1	1.1%
18009	1	1.1%
17195	1	1.1%
16608	1	1.1%
16058	1	1.1%
10506	1	1.1%
9909	1	1.1%

산업시설구역_미분양(천제곱미터)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	23
Distinct (%)	26.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.78409

Minimum	0
Maximum	1374
Zeros	60
Zeros (%)	68.2%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	85
95-th percentile	628.1
Maximum	1374
Range	1374
Interquartile range (IQR)	85

Descriptive statistics

Standard deviation	240.22602
Coefficient of variation (CV)	2.3835708
Kurtosis	12.402186
Mean	100.78409
Median Absolute Deviation (MAD)	0
Skewness	3.3547814
Sum	8869
Variance	57708.539
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	60	68.2%
85	2	2.3%
196	2	2.3%
7	2	2.3%
24	2	2.3%
190	2	2.3%
280	2	2.3%
1374	1	1.1%
299	1	1.1%
394	1	1.1%
Other values (13)	13	14.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	60	68.2%
7	2	2.3%
24	2	2.3%
40	1	1.1%
85	2	2.3%
93	1	1.1%
103	1	1.1%
157	1	1.1%
190	2	2.3%
196	2	2.3%

Value	Count	Frequency (%)
1374	1	1.1%
1065	1	1.1%
896	1	1.1%
701	1	1.1%
696	1	1.1%
502	1	1.1%
394	1	1.1%
299	1	1.1%
292	1	1.1%
287	1	1.1%

산업시설구역_분양률(퍼센트)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	24
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	78.944205

Minimum	0
Maximum	100
Zeros	13
Zeros (%)	14.8%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	79.605
median	100
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	20.395

Descriptive statistics

Standard deviation	37.619293
Coefficient of variation (CV)	0.47653014
Kurtosis	0.51467621
Mean	78.944205
Median Absolute Deviation (MAD)	0
Skewness	-1.5227137
Sum	6947.09
Variance	1415.2112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
100.0	51	58.0%
0.0	13	14.8%
76.95	2	2.3%
98.53	2	2.3%
97.61	1	1.1%
7.08	1	1.1%
3.24	1	1.1%
48.57	1	1.1%
98.07	1	1.1%
66.15	1	1.1%
Other values (14)	14	15.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	13	14.8%
3.24	1	1.1%
7.08	1	1.1%
19.83	1	1.1%
48.57	1	1.1%
66.15	1	1.1%
67.96	1	1.1%
73.38	1	1.1%
76.95	2	2.3%
80.49	1	1.1%

Value	Count	Frequency (%)
100.0	51	58.0%
99.64	1	1.1%
99.15	1	1.1%
98.53	2	2.3%
98.43	1	1.1%
98.07	1	1.1%
97.61	1	1.1%
96.64	1	1.1%
95.1	1	1.1%
94.99	1	1.1%

입주업체(개)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	53
Distinct (%)	60.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1229.3295

Minimum	0
Maximum	21341
Zeros	18
Zeros (%)	20.5%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	57
Q3	422
95-th percentile	8537.85
Maximum	21341
Range	21341
Interquartile range (IQR)	421

Descriptive statistics

Standard deviation	3462.6588
Coefficient of variation (CV)	2.8167051
Kurtosis	16.983806
Mean	1229.3295
Median Absolute Deviation (MAD)	57
Skewness	3.9905544
Sum	108181
Variance	11990006
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18	20.5%
1	9	10.2%
31	3	3.4%
23	3	3.4%
14122	2	2.3%
2194	2	2.3%
90	2	2.3%
1517	2	2.3%
3	2	2.3%
12	2	2.3%
Other values (43)	43	48.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	20.5%
1	9	10.2%
2	1	1.1%
3	2	2.3%
12	2	2.3%
23	3	3.4%
28	1	1.1%
29	1	1.1%
31	3	3.4%
32	1	1.1%

Value	Count	Frequency (%)
21341	1	1.1%
14122	2	2.3%
11249	1	1.1%
8842	1	1.1%
7973	1	1.1%
3162	1	1.1%
2965	1	1.1%
2713	1	1.1%
2194	2	2.3%
1822	1	1.1%

가동업체(개)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	53
Distinct (%)	60.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1138.6023

Minimum	0
Maximum	20891
Zeros	18
Zeros (%)	20.5%
Negative	0
Negative (%)	0.0%
Memory size	924.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	36
Q3	343.25
95-th percentile	8274.35
Maximum	20891
Range	20891
Interquartile range (IQR)	342.25

Descriptive statistics

Standard deviation	3305.5051
Coefficient of variation (CV)	2.9031253
Kurtosis	18.02716
Mean	1138.6023
Median Absolute Deviation (MAD)	36
Skewness	4.0823083
Sum	100197
Variance	10926364
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18	20.5%
1	9	10.2%
17	3	3.4%
23	3	3.4%
12871	2	2.3%
1547	2	2.3%
39	2	2.3%
1299	2	2.3%
3	2	2.3%
185	2	2.3%
Other values (43)	43	48.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	20.5%
1	9	10.2%
2	1	1.1%
3	2	2.3%
8	1	1.1%
9	1	1.1%
11	1	1.1%
17	3	3.4%
21	1	1.1%
23	3	3.4%

Value	Count	Frequency (%)
20891	1	1.1%
12871	2	2.3%
11068	1	1.1%
8603	1	1.1%
7664	1	1.1%
3147	1	1.1%
2661	1	1.1%
2186	1	1.1%
1811	1	1.1%
1611	1	1.1%

고용현황(명)_남
Text

Distinct	54
Distinct (%)	61.4%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	6
Median length	5
Mean length	3.1136364
Min length	1

Characters and Unicode

Total characters	274
Distinct characters	11
Distinct categories	2 ?
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	45 ?
Unique (%)	51.1%

Sample

1st row	99275
2nd row	99275
3rd row	21930
4th row	21930
5th row	0

Value	Count	Frequency (%)
0	18	20.5%
x	10	11.4%
3111	3	3.4%
99275	2	2.3%
953	2	2.3%
273	2	2.3%
12258	2	2.3%
21930	2	2.3%
911	2	2.3%
6555	1	1.1%
Other values (44)	44	50.0%

Most occurring characters

Value	Count	Frequency (%)
1	43	15.7%
3	41	15.0%
0	33	12.0%
2	32	11.7%
9	22	8.0%
6	20	7.3%
7	19	6.9%
5	19	6.9%
4	18	6.6%
8	17	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	264	96.4%
Uppercase Letter	10	3.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	43	16.3%
3	41	15.5%
0	33	12.5%
2	32	12.1%
9	22	8.3%
6	20	7.6%
7	19	7.2%
5	19	7.2%
4	18	6.8%
8	17	6.4%

Uppercase Letter

Value	Count	Frequency (%)
X	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	264	96.4%
Latin	10	3.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	43	16.3%
3	41	15.5%
0	33	12.5%
2	32	12.1%
9	22	8.3%
6	20	7.6%
7	19	7.2%
5	19	7.2%
4	18	6.8%
8	17	6.4%

Latin

Value	Count	Frequency (%)
X	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	43	15.7%
3	41	15.0%
0	33	12.0%
2	32	11.7%
9	22	8.0%
6	20	7.3%
7	19	6.9%
5	19	6.9%
4	18	6.6%
8	17	6.2%

고용현황(명)_여
Text

Distinct	55
Distinct (%)	62.5%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	5
Median length	4
Mean length	2.6590909
Min length	1

Characters and Unicode

Total characters	234
Distinct characters	11
Distinct categories	2 ?
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	47 ?
Unique (%)	53.4%

Sample

1st row	41958
2nd row	41958
3rd row	6363
4th row	6363
5th row	0

Value	Count	Frequency (%)
0	18	20.5%
x	10	11.4%
524	3	3.4%
41958	2	2.3%
151	2	2.3%
35	2	2.3%
6354	2	2.3%
6363	2	2.3%
528	1	1.1%
1228	1	1.1%
Other values (45)	45	51.1%

Most occurring characters

Value	Count	Frequency (%)
1	31	13.2%
0	27	11.5%
5	25	10.7%
2	23	9.8%
3	22	9.4%
8	21	9.0%
7	21	9.0%
4	20	8.5%
6	18	7.7%
9	16	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	224	95.7%
Uppercase Letter	10	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31	13.8%
0	27	12.1%
5	25	11.2%
2	23	10.3%
3	22	9.8%
8	21	9.4%
7	21	9.4%
4	20	8.9%
6	18	8.0%
9	16	7.1%

Uppercase Letter

Value	Count	Frequency (%)
X	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	224	95.7%
Latin	10	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31	13.8%
0	27	12.1%
5	25	11.2%
2	23	10.3%
3	22	9.8%
8	21	9.4%
7	21	9.4%
4	20	8.9%
6	18	8.0%
9	16	7.1%

Latin

Value	Count	Frequency (%)
X	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31	13.2%
0	27	11.5%
5	25	10.7%
2	23	9.8%
3	22	9.4%
8	21	9.0%
7	21	9.0%
4	20	8.5%
6	18	7.7%
9	16	6.8%

고용현황(명)_계
Text

Distinct	55
Distinct (%)	62.5%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	6
Median length	5
Mean length	3.2613636
Min length	1

Characters and Unicode

Total characters	287
Distinct characters	11
Distinct categories	2 ?
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	47 ?
Unique (%)	53.4%

Sample

1st row	141233
2nd row	141233
3rd row	28293
4th row	28293
5th row	0

Value	Count	Frequency (%)
0	18	20.5%
x	10	11.4%
3635	3	3.4%
141233	2	2.3%
1104	2	2.3%
308	2	2.3%
18612	2	2.3%
28293	2	2.3%
1161	1	1.1%
7783	1	1.1%
Other values (45)	45	51.1%

Most occurring characters

Value	Count	Frequency (%)
1	49	17.1%
0	39	13.6%
3	33	11.5%
4	29	10.1%
2	26	9.1%
8	23	8.0%
5	22	7.7%
7	20	7.0%
6	19	6.6%
9	17	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	277	96.5%
Uppercase Letter	10	3.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	49	17.7%
0	39	14.1%
3	33	11.9%
4	29	10.5%
2	26	9.4%
8	23	8.3%
5	22	7.9%
7	20	7.2%
6	19	6.9%
9	17	6.1%

Uppercase Letter

Value	Count	Frequency (%)
X	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	277	96.5%
Latin	10	3.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	49	17.7%
0	39	14.1%
3	33	11.9%
4	29	10.5%
2	26	9.4%
8	23	8.3%
5	22	7.9%
7	20	7.2%
6	19	6.9%
9	17	6.1%

Latin

Value	Count	Frequency (%)
X	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	49	17.1%
0	39	13.6%
3	33	11.5%
4	29	10.1%
2	26	9.1%
8	23	8.0%
5	22	7.7%
7	20	7.0%
6	19	6.6%
9	17	5.9%

누계생산(백만원)
Text

Distinct	55
Distinct (%)	62.5%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	9
Median length	8
Mean length	4.9772727
Min length	1

Characters and Unicode

Total characters	438
Distinct characters	11
Distinct categories	2 ?
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	47 ?
Unique (%)	53.4%

Sample

1st row	13784706
2nd row	13784706
3rd row	13002583
4th row	13002583
5th row	0

Value	Count	Frequency (%)
0	23	26.1%
x	5	5.7%
1594144	3	3.4%
13784706	2	2.3%
127764	2	2.3%
79994	2	2.3%
6979974	2	2.3%
13002583	2	2.3%
341850	1	1.1%
4490240	1	1.1%
Other values (45)	45	51.1%

Most occurring characters

Value	Count	Frequency (%)
0	66	15.1%
1	52	11.9%
4	52	11.9%
7	50	11.4%
9	43	9.8%
3	41	9.4%
2	39	8.9%
5	36	8.2%
6	36	8.2%
8	18	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	433	98.9%
Uppercase Letter	5	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	66	15.2%
1	52	12.0%
4	52	12.0%
7	50	11.5%
9	43	9.9%
3	41	9.5%
2	39	9.0%
5	36	8.3%
6	36	8.3%
8	18	4.2%

Uppercase Letter

Value	Count	Frequency (%)
X	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	433	98.9%
Latin	5	1.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	66	15.2%
1	52	12.0%
4	52	12.0%
7	50	11.5%
9	43	9.9%
3	41	9.5%
2	39	9.0%
5	36	8.3%
6	36	8.3%
8	18	4.2%

Latin

Value	Count	Frequency (%)
X	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	438	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	66	15.1%
1	52	11.9%
4	52	11.9%
7	50	11.4%
9	43	9.8%
3	41	9.4%
2	39	8.9%
5	36	8.2%
6	36	8.2%
8	18	4.1%

누계수출(천달러)
Text

Distinct	49
Distinct (%)	55.7%
Missing	0
Missing (%)	0.0%
Memory size	836.0 B

Length

Max length	8
Median length	7
Mean length	4.2840909
Min length	1

Characters and Unicode

Total characters	377
Distinct characters	11
Distinct categories	2 ?
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	39 ?
Unique (%)	44.3%

Sample

1st row	3205413
2nd row	3205413
3rd row	4366806
4th row	4366806
5th row	0

Value	Count	Frequency (%)
0	28	31.8%
x	4	4.5%
879694	3	3.4%
59067	2	2.3%
4366806	2	2.3%
2998	2	2.3%
3205413	2	2.3%
11845	2	2.3%
15268	2	2.3%
2975156	2	2.3%
Other values (39)	39	44.3%

Most occurring characters

Value	Count	Frequency (%)
0	57	15.1%
8	42	11.1%
1	40	10.6%
5	38	10.1%
4	36	9.5%
9	35	9.3%
2	34	9.0%
3	34	9.0%
6	32	8.5%
7	25	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	373	98.9%
Uppercase Letter	4	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	57	15.3%
8	42	11.3%
1	40	10.7%
5	38	10.2%
4	36	9.7%
9	35	9.4%
2	34	9.1%
3	34	9.1%
6	32	8.6%
7	25	6.7%

Uppercase Letter

Value	Count	Frequency (%)
X	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	373	98.9%
Latin	4	1.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	57	15.3%
8	42	11.3%
1	40	10.7%
5	38	10.2%
4	36	9.7%
9	35	9.4%
2	34	9.1%
3	34	9.1%
6	32	8.6%
7	25	6.7%

Latin

Value	Count	Frequency (%)
X	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	377	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	57	15.1%
8	42	11.1%
1	40	10.6%
5	38	10.1%
4	36	9.5%
9	35	9.3%
2	34	9.0%
3	34	9.0%
6	32	8.5%
7	25	6.6%

Heatmap
Table

	시도	시군	단지명	조성상태	지정면적(천제곱미터)	관리면적(천제곱미터)	산업시설구역_전체면적(천제곱미터)	산업시설구역_분양대상(천제곱미터)	산업시설구역_분양(천제곱미터)	산업시설구역_미분양(천제곱미터)	산업시설구역_분양률(퍼센트)	입주업체(개)	가동업체(개)	고용현황(명)_남	고용현황(명)_여	고용현황(명)_계	누계생산(백만원)	누계수출(천달러)
시도	1.000	1.000	1.000	0.654	0.000	0.605	0.574	0.563	0.563	0.000	0.026	0.632	0.599	0.936	0.936	0.936	0.936	0.941
시군	1.000	1.000	1.000	0.938	0.874	0.881	0.891	0.863	0.863	0.644	0.437	0.876	0.870	0.904	0.913	0.913	0.906	0.924
단지명	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
조성상태	0.654	0.938	1.000	1.000	0.032	0.408	0.289	0.328	0.328	0.399	0.462	0.000	0.000	0.000	0.000	0.000	0.000	0.000
지정면적(천제곱미터)	0.000	0.874	1.000	0.032	1.000	0.891	0.887	0.875	0.875	0.000	0.000	0.922	0.930	0.998	0.998	0.998	0.998	1.000
관리면적(천제곱미터)	0.605	0.881	1.000	0.408	0.891	1.000	0.916	0.883	0.883	0.000	0.000	0.653	0.674	0.997	0.991	0.991	0.991	0.990
산업시설구역_전체면적(천제곱미터)	0.574	0.891	1.000	0.289	0.887	0.916	1.000	0.994	0.994	0.000	0.000	0.687	0.703	0.994	0.994	0.994	0.994	0.993
산업시설구역_분양대상(천제곱미터)	0.563	0.863	1.000	0.328	0.875	0.883	0.994	1.000	1.000	0.000	0.000	0.718	0.729	0.995	0.995	0.995	0.995	0.996
산업시설구역_분양(천제곱미터)	0.563	0.863	1.000	0.328	0.875	0.883	0.994	1.000	1.000	0.000	0.000	0.718	0.729	0.995	0.995	0.995	0.995	0.996
산업시설구역_미분양(천제곱미터)	0.000	0.644	1.000	0.399	0.000	0.000	0.000	0.000	0.000	1.000	0.715	0.000	0.000	0.000	0.000	0.000	0.000	0.000
산업시설구역_분양률(퍼센트)	0.026	0.437	1.000	0.462	0.000	0.000	0.000	0.000	0.000	0.715	1.000	0.000	0.000	0.877	0.870	0.870	0.854	0.000
입주업체(개)	0.632	0.876	1.000	0.000	0.922	0.653	0.687	0.718	0.718	0.000	0.000	1.000	0.999	1.000	1.000	1.000	1.000	1.000
가동업체(개)	0.599	0.870	1.000	0.000	0.930	0.674	0.703	0.729	0.729	0.000	0.000	0.999	1.000	1.000	1.000	1.000	1.000	1.000
고용현황(명)_남	0.936	0.904	1.000	0.000	0.998	0.997	0.994	0.995	0.995	0.000	0.877	1.000	1.000	1.000	1.000	1.000	1.000	0.999
고용현황(명)_여	0.936	0.913	1.000	0.000	0.998	0.991	0.994	0.995	0.995	0.000	0.870	1.000	1.000	1.000	1.000	1.000	1.000	1.000
고용현황(명)_계	0.936	0.913	1.000	0.000	0.998	0.991	0.994	0.995	0.995	0.000	0.870	1.000	1.000	1.000	1.000	1.000	1.000	1.000
누계생산(백만원)	0.936	0.906	1.000	0.000	0.998	0.991	0.994	0.995	0.995	0.000	0.854	1.000	1.000	1.000	1.000	1.000	1.000	1.000
누계수출(천달러)	0.941	0.924	1.000	0.000	1.000	0.990	0.993	0.996	0.996	0.000	0.000	1.000	1.000	0.999	1.000	1.000	1.000	1.000

Heatmap
Table

	조성상태	시도
조성상태	1.000	0.415
시도	0.415	1.000

Heatmap
Table

	지정면적(천제곱미터)	관리면적(천제곱미터)	산업시설구역_전체면적(천제곱미터)	산업시설구역_분양대상(천제곱미터)	산업시설구역_분양(천제곱미터)	산업시설구역_미분양(천제곱미터)	산업시설구역_분양률(퍼센트)	입주업체(개)	가동업체(개)	시도	조성상태
지정면적(천제곱미터)	1.000	0.965	0.929	0.910	0.898	-0.093	0.426	0.455	0.449	0.000	0.000
관리면적(천제곱미터)	0.965	1.000	0.928	0.906	0.888	-0.087	0.390	0.412	0.405	0.273	0.188
산업시설구역_전체면적(천제곱미터)	0.929	0.928	1.000	0.957	0.944	-0.054	0.454	0.523	0.516	0.263	0.183
산업시설구역_분양대상(천제곱미터)	0.910	0.906	0.957	1.000	0.987	-0.099	0.557	0.575	0.580	0.256	0.212
산업시설구역_분양(천제곱미터)	0.898	0.888	0.944	0.987	1.000	-0.197	0.623	0.597	0.607	0.256	0.212
산업시설구역_미분양(천제곱미터)	-0.093	-0.087	-0.054	-0.099	-0.197	1.000	-0.661	-0.177	-0.206	0.000	0.267
산업시설구역_분양률(퍼센트)	0.426	0.390	0.454	0.557	0.623	-0.661	1.000	0.516	0.539	0.000	0.341
입주업체(개)	0.455	0.412	0.523	0.575	0.597	-0.177	0.516	1.000	0.995	0.323	0.000
가동업체(개)	0.449	0.405	0.516	0.580	0.607	-0.206	0.539	0.995	1.000	0.298	0.000
시도	0.000	0.273	0.263	0.256	0.256	0.000	0.000	0.323	0.298	1.000	0.415
조성상태	0.000	0.188	0.183	0.212	0.212	0.267	0.341	0.000	0.000	0.415	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

	유형	시도	시군	단지명	조성상태	지정면적(천제곱미터)	관리면적(천제곱미터)	산업시설구역_전체면적(천제곱미터)	산업시설구역_분양대상(천제곱미터)	산업시설구역_분양(천제곱미터)	산업시설구역_미분양(천제곱미터)	산업시설구역_분양률(퍼센트)	입주업체(개)	가동업체(개)	고용현황(명)_남	고용현황(명)_여	고용현황(명)_계	누계생산(백만원)	누계수출(천달러)
0	국가	서울	구로구	한국수출산업 (①)	완료	1925	1925	1448	1448	1448	0	100.0	14122	12871	99275	41958	141233	13784706	3205413
1	국가	서울	구로구	서울디지털 (①)	완료	1925	1925	1448	1448	1448	0	100.0	14122	12871	99275	41958	141233	13784706	3205413
2	국가	부산	강서구	명지·녹산 (① + ②)	완료	8841	8814	4317	4317	4317	0	100.0	1517	1299	21930	6363	28293	13002583	4366806
3	국가	부산	강서구	녹산지구(산업단지) (①)	완료	6998	6971	4317	4317	4317	0	100.0	1517	1299	21930	6363	28293	13002583	4366806
4	국가	부산	강서구	명지지구 (②)	완료	1843	1843	0	0	0	0	0.0	0	0	0	0	0	0	0
5	국가	대구	달성군	대구국가	조성중	8559	7479	4943	3207	3050	157	95.1	275	185	3554	980	4534	6569865	4383260
6	국가	인천	남동구	남동[재생사업지구]	완료	9574	9574	5925	5925	5925	0	100.0	7973	7664	60430	23615	84045	32748390	3985214
7	국가	인천	부평구	한국수출산업 (① + ②)	완료	1786	1786	1452	1452	1452	0	100.0	3162	3147	16331	7707	24038	7303974	1870446
8	국가	인천	부평구	부평 (①)	완료	609	609	522	522	522	0	100.0	1822	1811	6881	3749	10630	3379732	567459
9	국가	인천	서구	주안 (②)	완료	1177	1177	930	930	930	0	100.0	1340	1336	9450	3958	13408	3924242	1302987

	유형	시도	시군	단지명	조성상태	지정면적(천제곱미터)	관리면적(천제곱미터)	산업시설구역_전체면적(천제곱미터)	산업시설구역_분양대상(천제곱미터)	산업시설구역_분양(천제곱미터)	산업시설구역_미분양(천제곱미터)	산업시설구역_분양률(퍼센트)	입주업체(개)	가동업체(개)	고용현황(명)_남	고용현황(명)_여	고용현황(명)_계	누계생산(백만원)	누계수출(천달러)
78	국가	경남	창원시 진해구	명지·녹산 (①)	완료	1672	1672	0	0	0	0	0.0	0	0	0	0	0	0	0
79	국가	경남	창원시 진해구	녹산지구(주거단지) (①)	완료	1672	1672	0	0	0	0	0.0	0	0	0	0	0	0	0
80	국가	경남	창원시	창원[재생사업지구:부분]	조성중	35870	25726	17526	17195	17195	0	100.0	2965	2661	101245	17329	118574	60059679	18305207
81	국가	경남	창원시 진해구	진해	조성중	3269	1663	1588	1588	1588	0	100.0	3	3	1142	40	1182	770300	611154
82	국가	경남	밀양시	밀양나노융합	조성중	1656	1522	947	0	0	0	0.0	3	3	374	172	546	3	0
83	국가	경남	사천시	경남항공 (① + ②)	조성중	1655	1642	1098	926	30	896	3.24	0	0	0	0	0	0	0
84	국가	경남	사천시	경남항공(사천지구) (①)	조성중	820	821	595	502	0	502	0.0	0	0	0	0	0	0	0
85	국가	경남	진주시	경남항공(진주지구) (②)	조성중	835	821	503	424	30	394	7.08	0	0	0	0	0	0	0
86	국가	제주	제주시	제주첨단과학기술	완료	1099	1071	375	375	375	0	100.0	206	206	2248	1135	3383	1474771	59003
87	국가	제주	제주시	제주첨단과학기술2단지	미개발	848	847	394	0	0	0	0.0	0	0	0	0	0	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

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

Other Number

Decimal Number

Uppercase Letter

Close Punctuation

Open Punctuation

Other Punctuation

Space Separator

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Enclosed Alphanum

None

Compat Jamo

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common