gimi9 Pandas Profiling

Dataset statistics

Number of variables	20
Number of observations	10000
Missing cells	70288
Missing cells (%)	35.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.7 MiB
Average record size in memory	178.0 B

Variable types

Numeric	8
Categorical	5
Text	5
Unsupported	2

Dataset

Description	인덱스,연도,지역구,시설군,건물명,주소1,주소2,우편번호1,우편번호2,도로명주소1,도로명주소2,연면적,준공일자,부서명,상주인원수,일일사용자수,침상수,최근교육이수일,교육종류코드,교육종류코드
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-15380/S/1/datasetView.do

Alerts

`교육종류코드` is highly overall correlated with `우편번호1` and 2 other fields	High correlation
`교육종류코드.1` is highly overall correlated with `우편번호1` and 2 other fields	High correlation
`인덱스` is highly overall correlated with `연도` and 3 other fields	High correlation
`연도` is highly overall correlated with `인덱스` and 3 other fields	High correlation
`우편번호1` is highly overall correlated with `인덱스` and 6 other fields	High correlation
`우편번호2` is highly overall correlated with `인덱스` and 5 other fields	High correlation
`상주인원수` is highly overall correlated with `일일사용자수` and 1 other fields	High correlation
`일일사용자수` is highly overall correlated with `상주인원수` and 1 other fields	High correlation
`침상수` is highly overall correlated with `연도` and 1 other fields	High correlation
`지역구` is highly overall correlated with `우편번호1`	High correlation
`시설군` is highly overall correlated with `우편번호1`	High correlation
`부서명` is highly overall correlated with `인덱스` and 4 other fields	High correlation
`부서명` is highly imbalanced (93.0%)	Imbalance
`교육종류코드` is highly imbalanced (70.1%)	Imbalance
`주소2` has 1552 (15.5%) missing values	Missing
`우편번호1` has 9931 (99.3%) missing values	Missing
`우편번호2` has 9931 (99.3%) missing values	Missing
`도로명주소1` has 10000 (100.0%) missing values	Missing
`도로명주소2` has 10000 (100.0%) missing values	Missing
`연면적` has 3359 (33.6%) missing values	Missing
`준공일자` has 8946 (89.5%) missing values	Missing
`상주인원수` has 3359 (33.6%) missing values	Missing
`일일사용자수` has 3359 (33.6%) missing values	Missing
`침상수` has 3359 (33.6%) missing values	Missing
`최근교육이수일` has 6479 (64.8%) missing values	Missing
`일일사용자수` is highly skewed (γ1 = 37.50086395)	Skewed
`인덱스` has unique values	Unique
`도로명주소1` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`도로명주소2` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`상주인원수` has 5425 (54.2%) zeros	Zeros
`일일사용자수` has 5381 (53.8%) zeros	Zeros
`침상수` has 4491 (44.9%) zeros	Zeros

Reproduction

Analysis started	2024-05-18 02:26:51.783388
Analysis finished	2024-05-18 02:27:16.537490
Duration	24.75 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

인덱스
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41800.253

Minimum	5
Maximum	73024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	5
5-th percentile	2573.85
Q1	24690.75
median	50476.5
Q3	59039.25
95-th percentile	71325.1
Maximum	73024
Range	73019
Interquartile range (IQR)	34348.5

Descriptive statistics

Standard deviation	23320.859
Coefficient of variation (CV)	0.55791191
Kurtosis	-1.1464343
Mean	41800.253
Median Absolute Deviation (MAD)	17516.5
Skewness	-0.52821455
Sum	4.1800253 × 10⁸
Variance	5.4386245 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1774	1	< 0.1%
1119	1	< 0.1%
46591	1	< 0.1%
60849	1	< 0.1%
58095	1	< 0.1%
3548	1	< 0.1%
59084	1	< 0.1%
24747	1	< 0.1%
68660	1	< 0.1%
2510	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
12	1	< 0.1%
17	1	< 0.1%
20	1	< 0.1%
34	1	< 0.1%
41	1	< 0.1%
50	1	< 0.1%
55	1	< 0.1%

Value	Count	Frequency (%)
73024	1	< 0.1%
73019	1	< 0.1%
73018	1	< 0.1%
73017	1	< 0.1%
73012	1	< 0.1%
73007	1	< 0.1%
73006	1	< 0.1%
73003	1	< 0.1%
73002	1	< 0.1%
73000	1	< 0.1%

연도
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.5277

Minimum	2013
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	2013
5-th percentile	2014
Q1	2015
median	2017
Q3	2023
95-th percentile	2024
Maximum	2024
Range	11
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	3.9084729
Coefficient of variation (CV)	0.0019362989
Kurtosis	-1.5366309
Mean	2018.5277
Median Absolute Deviation (MAD)	3
Skewness	0.24582072
Sum	20185277
Variance	15.27616
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2014	2190	21.9%
2024	1727	17.3%
2023	1631	16.3%
2019	1502	15.0%
2017	1401	14.0%
2015	1397	14.0%
2013	72	0.7%
2016	41	0.4%
2020	26	0.3%
2018	13	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2013	72	0.7%
2014	2190	21.9%
2015	1397	14.0%
2016	41	0.4%
2017	1401	14.0%
2018	13	0.1%
2019	1502	15.0%
2020	26	0.3%
2023	1631	16.3%
2024	1727	17.3%

Value	Count	Frequency (%)
2024	1727	17.3%
2023	1631	16.3%
2020	26	0.3%
2019	1502	15.0%
2018	13	0.1%
2017	1401	14.0%
2016	41	0.4%
2015	1397	14.0%
2014	2190	21.9%
2013	72	0.7%

지역구
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

강남구	1211
중구	672
영등포구	668
서초구	615
송파구	567
Other values (21)	6267

Length

Max length	4
Median length	3
Mean length	3.0545
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	광진구
2nd row	종로구
3rd row	영등포구
4th row	중구
5th row	동작구

Common Values

Value	Count	Frequency (%)
강남구	1211	12.1%
중구	672	6.7%
영등포구	668	6.7%
서초구	615	6.2%
송파구	567	5.7%
마포구	523	5.2%
강서구	519	5.2%
구로구	404	4.0%
강동구	391	3.9%
종로구	383	3.8%
Other values (16)	4047	40.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
강남구	1211	12.1%
중구	672	6.7%
영등포구	668	6.7%
서초구	615	6.2%
송파구	567	5.7%
마포구	523	5.2%
강서구	519	5.2%
구로구	404	4.0%
강동구	391	3.9%
종로구	383	3.8%
Other values (16)	4047	40.5%

시설군
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

실내주차장	3901
보육시설	1002
어린이집	774
의료기관	747
대규모점포	715
Other values (19)	2861

Length

Max length	9
Median length	5
Mean length	4.5461
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	실내주차장
2nd row	실내주차장
3rd row	지하역사
4th row	대규모점포
5th row	의료기관

Common Values

Value	Count	Frequency (%)
실내주차장	3901	39.0%
보육시설	1002	10.0%
어린이집	774	7.7%
의료기관	747	7.5%
대규모점포	715	7.1%
지하역사	607	6.1%
PC영업시설	515	5.1%
목욕장	433	4.3%
학원	323	3.2%
산후조리원	239	2.4%
Other values (14)	744	7.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
실내주차장	3901	39.0%
보육시설	1002	10.0%
어린이집	774	7.7%
의료기관	747	7.5%
대규모점포	715	7.1%
지하역사	607	6.1%
pc영업시설	515	5.1%
목욕장	433	4.3%
학원	323	3.2%
산후조리원	239	2.4%
Other values (14)	744	7.4%

건물명
Text

Distinct	5828
Distinct (%)	58.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	41
Median length	30
Mean length	8.3735
Min length	2

Characters and Unicode

Total characters	83735
Distinct characters	783
Distinct categories	14 ?
Distinct scripts	4 ?
Distinct blocks	7 ?

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

Unique

Unique	3223 ?
Unique (%)	32.2%

Sample

1st row	화양타워
2nd row	코리안리빌딩
3rd row	영등포시장역 (5호선)
4th row	롯데마트서울역점
5th row	서울요양병원

Value	Count	Frequency (%)
어린이집	132	1.0%
pc방	104	0.8%
구립	86	0.7%
공영주차장	80	0.6%
산후조리원	61	0.5%
pc	61	0.5%
롯데시네마	48	0.4%
이마트	43	0.3%
cgv	33	0.3%
홈플러스	30	0.2%
Other values (6263)	11999	94.7%

Most occurring characters

Value	Count	Frequency (%)
이	2795	3.3%
	2766	3.3%
어	2024	2.4%
원	1937	2.3%
린	1831	2.2%
집	1769	2.1%
스	1546	1.8%
)	1318	1.6%
(	1311	1.6%
리	1073	1.3%
Other values (773)	65365	78.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	72233	86.3%
Uppercase Letter	3359	4.0%
Space Separator	2766	3.3%
Decimal Number	1625	1.9%
Close Punctuation	1319	1.6%
Open Punctuation	1312	1.6%
Lowercase Letter	614	0.7%
Other Symbol	234	0.3%
Other Punctuation	156	0.2%
Dash Punctuation	69	0.1%
Other values (4)	48	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
이	2795	3.9%
어	2024	2.8%
원	1937	2.7%
린	1831	2.5%
집	1769	2.4%
스	1546	2.1%
리	1073	1.5%
서	949	1.3%
동	919	1.3%
타	885	1.2%
Other values (684)	56505	78.2%

Uppercase Letter

Value	Count	Frequency (%)
C	672	20.0%
P	552	16.4%
S	258	7.7%
G	177	5.3%
T	171	5.1%
K	162	4.8%
E	158	4.7%
A	145	4.3%
I	127	3.8%
L	106	3.2%
Other values (15)	831	24.7%

Lowercase Letter

Value	Count	Frequency (%)
e	91	14.8%
c	81	13.2%
p	59	9.6%
o	40	6.5%
r	35	5.7%
n	35	5.7%
a	34	5.5%
s	30	4.9%
t	26	4.2%
k	24	3.9%
Other values (14)	159	25.9%

Other Punctuation

Value	Count	Frequency (%)
&	51	32.7%
,	32	20.5%
.	26	16.7%
?	17	10.9%
:	15	9.6%
/	5	3.2%
？	4	2.6%
%	2	1.3%
!	2	1.3%
＆	1	0.6%

Decimal Number

Value	Count	Frequency (%)
2	367	22.6%
1	358	22.0%
3	210	12.9%
5	146	9.0%
4	134	8.2%
7	95	5.8%
9	92	5.7%
0	89	5.5%
6	82	5.0%
8	52	3.2%

Math Symbol

Value	Count	Frequency (%)
+	5	41.7%
=	3	25.0%
>	2	16.7%
~	1	8.3%
→	1	8.3%

Other Number

Value	Count	Frequency (%)
③	2	33.3%
⑥	2	33.3%
②	1	16.7%
⑤	1	16.7%

Close Punctuation

Value	Count	Frequency (%)
)	1318	99.9%
]	1	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	1311	99.9%
[	1	0.1%

Letter Number

Value	Count	Frequency (%)
Ⅱ	10	90.9%
Ⅲ	1	9.1%

Space Separator

Value	Count	Frequency (%)
	2766	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	234	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	69	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	72462	86.5%
Common	7284	8.7%
Latin	3984	4.8%
Han	5	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
이	2795	3.9%
어	2024	2.8%
원	1937	2.7%
린	1831	2.5%
집	1769	2.4%
스	1546	2.1%
리	1073	1.5%
서	949	1.3%
동	919	1.3%
타	885	1.2%
Other values (683)	56734	78.3%

Latin

Value	Count	Frequency (%)
C	672	16.9%
P	552	13.9%
S	258	6.5%
G	177	4.4%
T	171	4.3%
K	162	4.1%
E	158	4.0%
A	145	3.6%
I	127	3.2%
L	106	2.7%
Other values (41)	1456	36.5%

Common

Value	Count	Frequency (%)
	2766	38.0%
)	1318	18.1%
(	1311	18.0%
2	367	5.0%
1	358	4.9%
3	210	2.9%
5	146	2.0%
4	134	1.8%
7	95	1.3%
9	92	1.3%
Other values (27)	487	6.7%

Han

Value	Count	Frequency (%)
前	4	80.0%
秀	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	72228	86.3%
ASCII	11245	13.4%
None	239	0.3%
Number Forms	11	< 0.1%
Enclosed Alphanum	6	< 0.1%
CJK	5	< 0.1%
Arrows	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
이	2795	3.9%
어	2024	2.8%
원	1937	2.7%
린	1831	2.5%
집	1769	2.4%
스	1546	2.1%
리	1073	1.5%
서	949	1.3%
동	919	1.3%
타	885	1.2%
Other values (682)	56500	78.2%

ASCII

Value	Count	Frequency (%)
	2766	24.6%
)	1318	11.7%
(	1311	11.7%
C	672	6.0%
P	552	4.9%
2	367	3.3%
1	358	3.2%
S	258	2.3%
3	210	1.9%
G	177	1.6%
Other values (69)	3256	29.0%

None

Value	Count	Frequency (%)
㈜	234	97.9%
？	4	1.7%
＆	1	0.4%

Number Forms

Value	Count	Frequency (%)
Ⅱ	10	90.9%
Ⅲ	1	9.1%

CJK

Value	Count	Frequency (%)
前	4	80.0%
秀	1	20.0%

Enclosed Alphanum

Value	Count	Frequency (%)
③	2	33.3%
⑥	2	33.3%
②	1	16.7%
⑤	1	16.7%

Arrows

Value	Count	Frequency (%)
→	1	100.0%

주소1
Text

Distinct	1519
Distinct (%)	15.2%
Missing	13
Missing (%)	0.1%
Memory size	156.2 KiB

Length

Max length	58
Median length	7
Mean length	8.8032442
Min length	3

Characters and Unicode

Total characters	87918
Distinct characters	404
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	1437 ?
Unique (%)	14.4%

Sample

1st row	서울시 광진구
2nd row	서울시 종로구
3rd row	서울시 영등포구
4th row	서울시 중구
5th row	서울시 동작구

Value	Count	Frequency (%)
서울시	7295	32.0%
서울	1217	5.3%
강남구	1211	5.3%
중구	672	3.0%
서초구	610	2.7%
서울특별시	606	2.7%
영등포구	565	2.5%
송파구	564	2.5%
마포구	529	2.3%
강서구	429	1.9%
Other values (2108)	9079	39.9%

Most occurring characters

Value	Count	Frequency (%)
	12948	14.7%
서	10533	12.0%
구	9892	11.3%
울	9149	10.4%
시	7977	9.1%
동	2324	2.6%
강	2298	2.6%
로	2210	2.5%
남	1279	1.5%
포	1204	1.4%
Other values (394)	28104	32.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	66794	76.0%
Space Separator	12948	14.7%
Decimal Number	5579	6.3%
Close Punctuation	924	1.1%
Open Punctuation	923	1.0%
Other Punctuation	470	0.5%
Dash Punctuation	194	0.2%
Math Symbol	49	0.1%
Uppercase Letter	35	< 0.1%
Lowercase Letter	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	10533	15.8%
구	9892	14.8%
울	9149	13.7%
시	7977	11.9%
동	2324	3.5%
강	2298	3.4%
로	2210	3.3%
남	1279	1.9%
포	1204	1.8%
중	927	1.4%
Other values (356)	19001	28.4%

Uppercase Letter

Value	Count	Frequency (%)
B	16	45.7%
A	3	8.6%
K	2	5.7%
S	2	5.7%
D	2	5.7%
J	2	5.7%
M	2	5.7%
H	1	2.9%
P	1	2.9%
F	1	2.9%
Other values (3)	3	8.6%

Decimal Number

Value	Count	Frequency (%)
1	1180	21.2%
2	782	14.0%
3	666	11.9%
4	533	9.6%
5	512	9.2%
6	442	7.9%
0	424	7.6%
7	379	6.8%
8	353	6.3%
9	308	5.5%

Other Punctuation

Value	Count	Frequency (%)
,	448	95.3%
.	10	2.1%
？	8	1.7%
?	2	0.4%
:	1	0.2%
/	1	0.2%

Close Punctuation

Value	Count	Frequency (%)
)	917	99.2%
]	7	0.8%

Open Punctuation

Value	Count	Frequency (%)
(	916	99.2%
[	7	0.8%

Lowercase Letter

Value	Count	Frequency (%)
s	1	50.0%
k	1	50.0%

Space Separator

Value	Count	Frequency (%)
	12948	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	194	100.0%

Math Symbol

Value	Count	Frequency (%)
~	49	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	66794	76.0%
Common	21087	24.0%
Latin	37	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	10533	15.8%
구	9892	14.8%
울	9149	13.7%
시	7977	11.9%
동	2324	3.5%
강	2298	3.4%
로	2210	3.3%
남	1279	1.9%
포	1204	1.8%
중	927	1.4%
Other values (356)	19001	28.4%

Common

Value	Count	Frequency (%)
	12948	61.4%
1	1180	5.6%
)	917	4.3%
(	916	4.3%
2	782	3.7%
3	666	3.2%
4	533	2.5%
5	512	2.4%
,	448	2.1%
6	442	2.1%
Other values (13)	1743	8.3%

Latin

Value	Count	Frequency (%)
B	16	43.2%
A	3	8.1%
K	2	5.4%
S	2	5.4%
D	2	5.4%
J	2	5.4%
M	2	5.4%
H	1	2.7%
P	1	2.7%
F	1	2.7%
Other values (5)	5	13.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	66794	76.0%
ASCII	21116	24.0%
None	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12948	61.3%
1	1180	5.6%
)	917	4.3%
(	916	4.3%
2	782	3.7%
3	666	3.2%
4	533	2.5%
5	512	2.4%
,	448	2.1%
6	442	2.1%
Other values (27)	1772	8.4%

Hangul

Value	Count	Frequency (%)
서	10533	15.8%
구	9892	14.8%
울	9149	13.7%
시	7977	11.9%
동	2324	3.5%
강	2298	3.4%
로	2210	3.3%
남	1279	1.9%
포	1204	1.8%
중	927	1.4%
Other values (356)	19001	28.4%

None

Value	Count	Frequency (%)
？	8	100.0%

주소2
Text

MISSING

Distinct	7124
Distinct (%)	84.3%
Missing	1552
Missing (%)	15.5%
Memory size	156.2 KiB

Length

Max length	67
Median length	48
Mean length	14.332031
Min length	3

Characters and Unicode

Total characters	121077
Distinct characters	543
Distinct categories	12 ?
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	6059 ?
Unique (%)	71.7%

Sample

1st row	화양동 110-37
2nd row	수송동 80
3rd row	양산로 지하200 (영등포동5가)
4th row	봉래동 2가 122-11
5th row	상도4동 255-4

Value	Count	Frequency (%)
영등포구	174	0.7%
여의도동	174	0.7%
강남구	174	0.7%
지하	161	0.7%
테헤란로	131	0.6%
지하1층	127	0.5%
남부순환로	122	0.5%
도봉로	114	0.5%
강남대로	97	0.4%
서초동	97	0.4%
Other values (6544)	21944	94.1%

Most occurring characters

Value	Count	Frequency (%)
	17216	14.2%
로	7265	6.0%
1	6903	5.7%
동	6265	5.2%
2	4830	4.0%
(	4371	3.6%
)	4368	3.6%
3	3809	3.1%
4	3074	2.5%
5	2957	2.4%
Other values (533)	60019	49.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	57613	47.6%
Decimal Number	33151	27.4%
Space Separator	17216	14.2%
Open Punctuation	4418	3.6%
Close Punctuation	4415	3.6%
Other Punctuation	1985	1.6%
Dash Punctuation	1812	1.5%
Uppercase Letter	235	0.2%
Math Symbol	214	0.2%
Lowercase Letter	14	< 0.1%
Other values (2)	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	7265	12.6%
동	6265	10.9%
길	2653	4.6%
대	1438	2.5%
층	1261	2.2%
지	1236	2.1%
가	1159	2.0%
구	1132	2.0%
산	840	1.5%
하	750	1.3%
Other values (472)	33614	58.3%

Uppercase Letter

Value	Count	Frequency (%)
B	73	31.1%
S	25	10.6%
C	19	8.1%
A	11	4.7%
D	11	4.7%
T	10	4.3%
L	9	3.8%
K	9	3.8%
I	7	3.0%
G	6	2.6%
Other values (14)	55	23.4%

Lowercase Letter

Value	Count	Frequency (%)
c	2	14.3%
k	2	14.3%
s	2	14.3%
v	1	7.1%
n	1	7.1%
b	1	7.1%
w	1	7.1%
p	1	7.1%
r	1	7.1%
e	1	7.1%

Decimal Number

Value	Count	Frequency (%)
1	6903	20.8%
2	4830	14.6%
3	3809	11.5%
4	3074	9.3%
5	2957	8.9%
6	2638	8.0%
0	2510	7.6%
7	2393	7.2%
8	2076	6.3%
9	1961	5.9%

Other Punctuation

Value	Count	Frequency (%)
,	1894	95.4%
.	44	2.2%
?	22	1.1%
？	12	0.6%
:	7	0.4%
/	6	0.3%

Open Punctuation

Value	Count	Frequency (%)
(	4371	98.9%
[	47	1.1%

Close Punctuation

Value	Count	Frequency (%)
)	4368	98.9%
]	47	1.1%

Letter Number

Value	Count	Frequency (%)
Ⅰ	2	66.7%
Ⅲ	1	33.3%

Space Separator

Value	Count	Frequency (%)
	17216	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1812	100.0%

Math Symbol

Value	Count	Frequency (%)
~	214	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	63211	52.2%
Hangul	57614	47.6%
Latin	252	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	7265	12.6%
동	6265	10.9%
길	2653	4.6%
대	1438	2.5%
층	1261	2.2%
지	1236	2.1%
가	1159	2.0%
구	1132	2.0%
산	840	1.5%
하	750	1.3%
Other values (473)	33615	58.3%

Latin

Value	Count	Frequency (%)
B	73	29.0%
S	25	9.9%
C	19	7.5%
A	11	4.4%
D	11	4.4%
T	10	4.0%
L	9	3.6%
K	9	3.6%
I	7	2.8%
G	6	2.4%
Other values (27)	72	28.6%

Common

Value	Count	Frequency (%)
	17216	27.2%
1	6903	10.9%
2	4830	7.6%
(	4371	6.9%
)	4368	6.9%
3	3809	6.0%
4	3074	4.9%
5	2957	4.7%
6	2638	4.2%
0	2510	4.0%
Other values (13)	10535	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	63448	52.4%
Hangul	57610	47.6%
None	13	< 0.1%
Compat Jamo	3	< 0.1%
Number Forms	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	17216	27.1%
1	6903	10.9%
2	4830	7.6%
(	4371	6.9%
)	4368	6.9%
3	3809	6.0%
4	3074	4.8%
5	2957	4.7%
6	2638	4.2%
0	2510	4.0%
Other values (47)	10772	17.0%

Hangul

Value	Count	Frequency (%)
로	7265	12.6%
동	6265	10.9%
길	2653	4.6%
대	1438	2.5%
층	1261	2.2%
지	1236	2.1%
가	1159	2.0%
구	1132	2.0%
산	840	1.5%
하	750	1.3%
Other values (470)	33611	58.3%

None

Value	Count	Frequency (%)
？	12	92.3%
㈜	1	7.7%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	2	66.7%
ㅏ	1	33.3%

Number Forms

Value	Count	Frequency (%)
Ⅰ	2	66.7%
Ⅲ	1	33.3%

우편번호1
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	9
Distinct (%)	13.0%
Missing	9931
Missing (%)	99.3%
Infinite	0
Infinite (%)	0.0%
Mean	103.91304

Minimum	2
Maximum	156
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	2
5-th percentile	11
Q1	11
median	151
Q3	151
95-th percentile	156
Maximum	156
Range	154
Interquartile range (IQR)	140

Descriptive statistics

Standard deviation	63.24991
Coefficient of variation (CV)	0.60868114
Kurtosis	-1.3308725
Mean	103.91304
Median Absolute Deviation (MAD)	5
Skewness	-0.77216362
Sum	7170
Variance	4000.5512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
151	28	0.3%
11	20	0.2%
156	7	0.1%
121	7	0.1%
152	2	< 0.1%
111	2	< 0.1%
2	1	< 0.1%
132	1	< 0.1%
123	1	< 0.1%
(Missing)	9931	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
11	20	0.2%
111	2	< 0.1%
121	7	0.1%
123	1	< 0.1%
132	1	< 0.1%
151	28	0.3%
152	2	< 0.1%
156	7	0.1%

Value	Count	Frequency (%)
156	7	0.1%
152	2	< 0.1%
151	28	0.3%
132	1	< 0.1%
123	1	< 0.1%
121	7	0.1%
111	2	< 0.1%
11	20	0.2%
2	1	< 0.1%

우편번호2
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	41
Distinct (%)	59.4%
Missing	9931
Missing (%)	99.3%
Infinite	0
Infinite (%)	0.0%
Mean	561.76812

Minimum	15
Maximum	907
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	15
5-th percentile	111
Q1	111
median	807
Q3	829
95-th percentile	895
Maximum	907
Range	892
Interquartile range (IQR)	718

Descriptive statistics

Standard deviation	354.71493
Coefficient of variation (CV)	0.63142588
Kurtosis	-1.7355962
Mean	561.76812
Median Absolute Deviation (MAD)	83
Skewness	-0.50060228
Sum	38762
Variance	125822.68
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
111	21	0.2%
807	3	< 0.1%
829	3	< 0.1%
809	2	< 0.1%
895	2	< 0.1%
890	2	< 0.1%
826	2	< 0.1%
801	1	< 0.1%
899	1	< 0.1%
888	1	< 0.1%
Other values (31)	31	0.3%
(Missing)	9931	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
21	1	< 0.1%
111	21	0.2%
123	1	< 0.1%
212	1	< 0.1%
222	1	< 0.1%
701	1	< 0.1%
725	1	< 0.1%
742	1	< 0.1%
783	1	< 0.1%

Value	Count	Frequency (%)
907	1	< 0.1%
904	1	< 0.1%
899	1	< 0.1%
895	2	< 0.1%
893	1	< 0.1%
890	2	< 0.1%
888	1	< 0.1%
883	1	< 0.1%
882	1	< 0.1%
872	1	< 0.1%

도로명주소1
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	10000
Missing (%)	100.0%
Memory size	166.0 KiB

도로명주소2
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	10000
Missing (%)	100.0%
Memory size	166.0 KiB

연면적
Real number (ℝ)

MISSING

Distinct	3942
Distinct (%)	59.4%
Missing	3359
Missing (%)	33.6%
Infinite	0
Infinite (%)	0.0%
Mean	8601.7775

Minimum	0
Maximum	604089.5
Zeros	88
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	359.56
Q1	771.33
median	2887.07
Q3	7793
95-th percentile	28900
Maximum	604089.5
Range	604089.5
Interquartile range (IQR)	7021.67

Descriptive statistics

Standard deviation	25245.342
Coefficient of variation (CV)	2.9348983
Kurtosis	161.10838
Mean	8601.7775
Median Absolute Deviation (MAD)	2368.93
Skewness	10.678689
Sum	57124404
Variance	6.3732732 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2251.3	171	1.7%
0.0	88	0.9%
353.88	86	0.9%
11043.4	55	0.5%
2700.0	53	0.5%
606.0	52	0.5%
499.0	40	0.4%
9345.69	39	0.4%
14133.0	27	0.3%
579.0	27	0.3%
Other values (3932)	6003	60.0%
(Missing)	3359	33.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	88	0.9%
4.358	4	< 0.1%
130.0	2	< 0.1%
189.0	5	0.1%
194.0	2	< 0.1%
283.0	1	< 0.1%
300.0	2	< 0.1%
300.99	1	< 0.1%
301.0	1	< 0.1%
301.2	1	< 0.1%

Value	Count	Frequency (%)
604089.5	1	< 0.1%
521000.0	1	< 0.1%
439000.0	1	< 0.1%
438913.3	1	< 0.1%
426635.0	2	< 0.1%
418000.0	1	< 0.1%
341000.0	1	< 0.1%
315000.0	1	< 0.1%
305934.0	1	< 0.1%
283843.2	1	< 0.1%

준공일자
Text

MISSING

Distinct	936
Distinct (%)	88.8%
Missing	8946
Missing (%)	89.5%
Memory size	156.2 KiB

Length

Max length	10
Median length	9
Mean length	9.1413662
Min length	4

Characters and Unicode

Total characters	9635
Distinct characters	14
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	853 ?
Unique (%)	80.9%

Sample

1st row	1999-06-28
2nd row	2007-11-16
3rd row	1991-12-1
4th row	1995-12-11
5th row	1994-10-20

Value	Count	Frequency (%)
2000-12-15	8	0.8%
2009-7-22	7	0.7%
2013	6	0.6%
1905-7-2	6	0.6%
1905-6-29	5	0.5%
1996-11-23	4	0.4%
1984-3-31	4	0.4%
2009-05-31	4	0.4%
2008-7-18	3	0.3%
2012-12-15	3	0.3%
Other values (925)	1004	95.3%

Most occurring characters

Value	Count	Frequency (%)
-	2078	21.6%
1	1712	17.8%
0	1625	16.9%
2	1307	13.6%
9	986	10.2%
8	388	4.0%
3	362	3.8%
7	332	3.4%
5	306	3.2%
6	283	2.9%
Other values (4)	256	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7539	78.2%
Dash Punctuation	2078	21.6%
Other Punctuation	16	0.2%
Space Separator	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1712	22.7%
0	1625	21.6%
2	1307	17.3%
9	986	13.1%
8	388	5.1%
3	362	4.8%
7	332	4.4%
5	306	4.1%
6	283	3.8%
4	238	3.2%

Other Punctuation

Value	Count	Frequency (%)
.	15	93.8%
,	1	6.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2078	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9635	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	2078	21.6%
1	1712	17.8%
0	1625	16.9%
2	1307	13.6%
9	986	10.2%
8	388	4.0%
3	362	3.8%
7	332	3.4%
5	306	3.2%
6	283	2.9%
Other values (4)	256	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9635	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	2078	21.6%
1	1712	17.8%
0	1625	16.9%
2	1307	13.6%
9	986	10.2%
8	388	4.0%
3	362	3.8%
7	332	3.4%
5	306	3.2%
6	283	2.9%
Other values (4)	256	2.7%

부서명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	9747
new	235
관리부서	13
O	3
○	1

Length

Max length	6
Median length	4
Mean length	3.9755
Min length	1

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	9747	97.5%
new	235	2.4%
관리부서	13	0.1%
O	3	< 0.1%
○	1	< 0.1%
제노피플관리	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	9747	97.5%
new	235	2.4%
관리부서	13	0.1%
o	3	< 0.1%
○	1	< 0.1%
제노피플관리	1	< 0.1%

상주인원수
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	68
Distinct (%)	1.0%
Missing	3359
Missing (%)	33.6%
Infinite	0
Infinite (%)	0.0%
Mean	4.1584099

Minimum	0
Maximum	850
Zeros	5425
Zeros (%)	54.2%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	12
Maximum	850
Range	850
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	37.505296
Coefficient of variation (CV)	9.0191435
Kurtosis	277.38464
Mean	4.1584099
Median Absolute Deviation (MAD)	0
Skewness	15.797117
Sum	27616
Variance	1406.6472
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5425	54.2%
3	744	7.4%
12	311	3.1%
80	27	0.3%
10	8	0.1%
20	6	0.1%
30	5	0.1%
500	5	0.1%
6	4	< 0.1%
50	4	< 0.1%
Other values (58)	102	1.0%
(Missing)	3359	33.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5425	54.2%
1	2	< 0.1%
2	3	< 0.1%
3	744	7.4%
4	3	< 0.1%
5	4	< 0.1%
6	4	< 0.1%
7	1	< 0.1%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
850	1	< 0.1%
800	2	< 0.1%
780	1	< 0.1%
755	1	< 0.1%
700	2	< 0.1%
660	2	< 0.1%
600	2	< 0.1%
508	2	< 0.1%
500	5	0.1%
400	3	< 0.1%

일일사용자수
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	71
Distinct (%)	1.1%
Missing	3359
Missing (%)	33.6%
Infinite	0
Infinite (%)	0.0%
Mean	59.167896

Minimum	0
Maximum	27979
Zeros	5381
Zeros (%)	53.8%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	150
Maximum	27979
Range	27979
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	582.11288
Coefficient of variation (CV)	9.838323
Kurtosis	1588.4473
Mean	59.167896
Median Absolute Deviation (MAD)	0
Skewness	37.500864
Sum	392934
Variance	338855.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5381	53.8%
150	531	5.3%
45	321	3.2%
700	198	2.0%
100	41	0.4%
200	16	0.2%
250	14	0.1%
800	12	0.1%
500	11	0.1%
300	10	0.1%
Other values (61)	106	1.1%
(Missing)	3359	33.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5381	53.8%
15	1	< 0.1%
19	1	< 0.1%
20	2	< 0.1%
25	1	< 0.1%
30	6	0.1%
40	2	< 0.1%
44	1	< 0.1%
45	321	3.2%
48	2	< 0.1%

Value	Count	Frequency (%)
27979	1	< 0.1%
25703	1	< 0.1%
18442	1	< 0.1%
15332	1	< 0.1%
6500	1	< 0.1%
5000	3	< 0.1%
2000	1	< 0.1%
1000	4	< 0.1%
850	3	< 0.1%
800	12	0.1%

침상수
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	63
Distinct (%)	0.9%
Missing	3359
Missing (%)	33.6%
Infinite	0
Infinite (%)	0.0%
Mean	71.128143

Minimum	0
Maximum	2091
Zeros	4491
Zeros (%)	44.9%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	106
95-th percentile	406
Maximum	2091
Range	2091
Interquartile range (IQR)	106

Descriptive statistics

Standard deviation	138.17978
Coefficient of variation (CV)	1.9426879
Kurtosis	17.695505
Mean	71.128143
Median Absolute Deviation (MAD)	0
Skewness	3.1298053
Sum	472362
Variance	19093.652
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4491	44.9%
171	348	3.5%
156	244	2.4%
103	234	2.3%
178	175	1.8%
636	165	1.7%
406	149	1.5%
106	142	1.4%
190	116	1.2%
367	100	1.0%
Other values (53)	477	4.8%
(Missing)	3359	33.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4491	44.9%
30	2	< 0.1%
31	6	0.1%
35	56	0.6%
48	1	< 0.1%
60	1	< 0.1%
65	2	< 0.1%
79	3	< 0.1%
80	2	< 0.1%
85	2	< 0.1%

Value	Count	Frequency (%)
2091	1	< 0.1%
1965	1	< 0.1%
684	1	< 0.1%
636	165	1.7%
500	1	< 0.1%
477	20	0.2%
406	149	1.5%
367	100	1.0%
305	1	< 0.1%
297	44	0.4%

최근교육이수일
Text

MISSING

Distinct	463
Distinct (%)	13.1%
Missing	6479
Missing (%)	64.8%
Memory size	156.2 KiB

Length

Max length	10
Median length	10
Mean length	9.6836126
Min length	1

Characters and Unicode

Total characters	34096
Distinct characters	24
Distinct categories	5 ?
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	174 ?
Unique (%)	4.9%

Sample

1st row	2013-04-04
2nd row	2018-10-17
3rd row	2014-05-30
4th row	2015-12-02
5th row	2016-05-25

Value	Count	Frequency (%)
2016-07-20	68	1.9%
2016-10-26	65	1.8%
2016-11-23	62	1.8%
2016-11-15	61	1.7%
2012-11-14	52	1.5%
2015-12-02	49	1.4%
2015-05-28	46	1.3%
2016-08-24	45	1.3%
2014-11-21	44	1.2%
2015-11-27	43	1.2%
Other values (452)	2988	84.8%

Most occurring characters

Value	Count	Frequency (%)
1	7290	21.4%
0	6364	18.7%
-	6202	18.2%
2	5915	17.3%
6	1292	3.8%
4	1279	3.8%
5	1257	3.7%
7	1104	3.2%
3	1001	2.9%
8	942	2.8%
Other values (14)	1450	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27032	79.3%
Dash Punctuation	6202	18.2%
Other Punctuation	818	2.4%
Space Separator	27	0.1%
Other Letter	17	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7290	27.0%
0	6364	23.5%
2	5915	21.9%
6	1292	4.8%
4	1279	4.7%
5	1257	4.7%
7	1104	4.1%
3	1001	3.7%
8	942	3.5%
9	588	2.2%

Other Letter

Value	Count	Frequency (%)
업	3	17.6%
영	2	11.8%
구	2	11.8%
면	2	11.8%
제	2	11.8%
폐	2	11.8%
휴	1	5.9%
노	1	5.9%
강	1	5.9%
래	1	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	788	96.3%
/	30	3.7%

Dash Punctuation

Value	Count	Frequency (%)
-	6202	100.0%

Space Separator

Value	Count	Frequency (%)
	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	34079	> 99.9%
Hangul	17	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7290	21.4%
0	6364	18.7%
-	6202	18.2%
2	5915	17.4%
6	1292	3.8%
4	1279	3.8%
5	1257	3.7%
7	1104	3.2%
3	1001	2.9%
8	942	2.8%
Other values (4)	1433	4.2%

Hangul

Value	Count	Frequency (%)
업	3	17.6%
영	2	11.8%
구	2	11.8%
면	2	11.8%
제	2	11.8%
폐	2	11.8%
휴	1	5.9%
노	1	5.9%
강	1	5.9%
래	1	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34079	> 99.9%
Hangul	17	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7290	21.4%
0	6364	18.7%
-	6202	18.2%
2	5915	17.4%
6	1292	3.8%
4	1279	3.8%
5	1257	3.7%
7	1104	3.2%
3	1001	2.9%
8	942	2.8%
Other values (4)	1433	4.2%

Hangul

Value	Count	Frequency (%)
업	3	17.6%
영	2	11.8%
구	2	11.8%
면	2	11.8%
제	2	11.8%
폐	2	11.8%
휴	1	5.9%
노	1	5.9%
강	1	5.9%
래	1	5.9%

교육종류코드
Categorical

HIGH CORRELATION IMBALANCE

Distinct	15
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	7279
보수	1987
신규	575
실내공기질관리자교육	43
보수교육	41
Other values (10)	75

Length

Max length	10
Median length	4
Mean length	3.5328
Min length	1

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	보수
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	7279	72.8%
보수	1987	19.9%
신규	575	5.8%
실내공기질관리자교육	43	0.4%
보수교육	41	0.4%
환경보전협회사이버	41	0.4%
교육면제	9	0.1%
신규교육	8	0.1%
-	7	0.1%
사이버	3	< 0.1%
Other values (5)	7	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	7279	72.8%
보수	1987	19.9%
신규	576	5.8%
실내공기질관리자교육	43	0.4%
보수교육	41	0.4%
환경보전협회사이버	41	0.4%
교육면제	9	0.1%
신규교육	8	0.1%
	7	0.1%
사이버	3	< 0.1%
Other values (5)	7	0.1%

교육종류코드.1
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	7438
보수	1987
신규	575

Length

Max length	4
Median length	4
Mean length	3.4876
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	보수
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	7438	74.4%
보수	1987	19.9%
신규	575	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	7438	74.4%
보수	1987	19.9%
신규	575	5.8%

Heatmap
Table

	인덱스	연도	지역구	시설군	우편번호1	우편번호2	연면적	부서명	상주인원수	일일사용자수	침상수	교육종류코드	교육종류코드.1
인덱스	1.000	0.884	0.309	0.406	0.664	0.585	0.034	0.643	0.164	0.000	0.330	0.370	0.215
연도	0.884	1.000	0.305	0.393	0.712	0.862	0.000	0.632	0.100	0.000	0.295	0.329	0.155
지역구	0.309	0.305	1.000	0.405	0.851	0.606	0.187	0.571	0.190	0.173	0.663	0.765	0.450
시설군	0.406	0.393	0.405	1.000	0.809	0.709	0.369	0.484	0.000	0.000	0.123	0.266	0.185
우편번호1	0.664	0.712	0.851	0.809	1.000	0.805	NaN	0.752	1.000	1.000	0.000	0.514	0.514
우편번호2	0.585	0.862	0.606	0.709	0.805	1.000	NaN	0.618	0.864	0.864	0.000	0.494	0.494
연면적	0.034	0.000	0.187	0.369	NaN	NaN	1.000	0.000	0.000	0.000	0.000	0.000	0.042
부서명	0.643	0.632	0.571	0.484	0.752	0.618	0.000	1.000	NaN	NaN	NaN	0.000	0.000
상주인원수	0.164	0.100	0.190	0.000	1.000	0.864	0.000	NaN	1.000	0.555	0.318	0.000	0.000
일일사용자수	0.000	0.000	0.173	0.000	1.000	0.864	0.000	NaN	0.555	1.000	0.016	0.000	0.000
침상수	0.330	0.295	0.663	0.123	0.000	0.000	0.000	NaN	0.318	0.016	1.000	0.000	0.026
교육종류코드	0.370	0.329	0.765	0.266	0.514	0.494	0.000	0.000	0.000	0.000	0.000	1.000	1.000
교육종류코드.1	0.215	0.155	0.450	0.185	0.514	0.494	0.042	0.000	0.000	0.000	0.026	1.000	1.000

Heatmap
Table

	교육종류코드	교육종류코드.1	지역구	시설군	부서명
교육종류코드	1.000	0.999	0.359	0.088	0.000
교육종류코드.1	0.999	1.000	0.356	0.146	0.000
지역구	0.359	0.356	1.000	0.116	0.272
시설군	0.088	0.146	0.116	1.000	0.222
부서명	0.000	0.000	0.272	0.222	1.000

Heatmap
Table

	인덱스	연도	우편번호1	우편번호2	연면적	상주인원수	일일사용자수	침상수	지역구	시설군	부서명	교육종류코드	교육종류코드.1
인덱스	1.000	0.984	-0.688	-0.515	-0.006	-0.081	-0.086	-0.391	0.123	0.169	0.571	0.217	0.143
연도	0.984	1.000	-0.834	-0.737	0.003	-0.092	-0.091	-0.506	0.125	0.169	0.491	0.176	0.179
우편번호1	-0.688	-0.834	1.000	0.675	0.077	-0.360	0.152	0.335	0.585	0.605	0.396	0.763	0.763
우편번호2	-0.515	-0.737	0.675	1.000	0.153	-0.405	-0.208	0.335	0.297	0.457	0.597	0.564	0.564
연면적	-0.006	0.003	0.077	0.153	1.000	-0.218	-0.213	-0.140	0.067	0.145	0.000	0.000	0.042
상주인원수	-0.081	-0.092	-0.360	-0.405	-0.218	1.000	0.960	0.332	0.073	0.000	1.000	0.000	0.000
일일사용자수	-0.086	-0.091	0.152	-0.208	-0.213	0.960	1.000	0.260	0.078	0.000	1.000	0.000	0.000
침상수	-0.391	-0.506	0.335	0.335	-0.140	0.332	0.260	1.000	0.351	0.061	1.000	0.000	0.017
지역구	0.123	0.125	0.585	0.297	0.067	0.073	0.078	0.351	1.000	0.116	0.272	0.359	0.356
시설군	0.169	0.169	0.605	0.457	0.145	0.000	0.000	0.061	0.116	1.000	0.222	0.088	0.146
부서명	0.571	0.491	0.396	0.597	0.000	1.000	1.000	1.000	0.272	0.222	1.000	0.000	0.000
교육종류코드	0.217	0.176	0.763	0.564	0.000	0.000	0.000	0.000	0.359	0.088	0.000	1.000	0.999
교육종류코드.1	0.143	0.179	0.763	0.564	0.042	0.000	0.000	0.017	0.356	0.146	0.000	0.999	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

	인덱스	연도	지역구	시설군	건물명	주소1	주소2	우편번호1	우편번호2	도로명주소1	도로명주소2	연면적	준공일자	부서명	상주인원수	일일사용자수	침상수	최근교육이수일	교육종류코드	교육종류코드.1
27396	1774	2014	광진구	실내주차장	화양타워	서울시 광진구	화양동 110-37	<NA>	<NA>	<NA>	<NA>	4030.0	1999-06-28	<NA>	0	0	0	2013-04-04	보수	보수
27726	939	2014	종로구	실내주차장	코리안리빌딩	서울시 종로구	수송동 80	<NA>	<NA>	<NA>	<NA>	6027.14	<NA>	<NA>	0	0	0	<NA>	<NA>	<NA>
28176	8550	2014	영등포구	지하역사	영등포시장역 (5호선)	서울시 영등포구	양산로 지하200 (영등포동5가)	<NA>	<NA>	<NA>	<NA>	14029.0	<NA>	<NA>	0	0	171	<NA>	<NA>	<NA>
31112	6363	2014	중구	대규모점포	롯데마트서울역점	서울시 중구	봉래동 2가 122-11	<NA>	<NA>	<NA>	<NA>	26069.0	<NA>	<NA>	0	0	0	<NA>	<NA>	<NA>
21368	45542	2016	동작구	의료기관	서울요양병원	서울시 동작구	상도4동 255-4	<NA>	<NA>	<NA>	<NA>	2271.0	<NA>	<NA>	0	110	0	<NA>	<NA>	<NA>
8187	58218	2023	강동구	PC영업시설	힐러PC	서울시 강동구	양재대로89길 17, 지층 (성내동)	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
5961	70598	2024	관악구	의료기관	척편한병원	서울시 관악구	신림로 318, 4,5층 (신림동, 청암두산위브)	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
11471	52877	2019	서대문구	영화상영관	필름포럼(사단법인 필레마)	서울특별시 성산로 527 (대신동, 하늬솔빌딩 지하1층)	<NA>	<NA>	<NA>	<NA>	<NA>	8898.97	<NA>	<NA>	0	0	0	2018-10-17	보수	보수
9485	56585	2023	성동구	실내주차장	(주)신세계이마트성수점	서울시 성동구	뚝섬로 377(성수2가1동)	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
8472	58163	2023	동작구	실내주차장	롯데타워(지하5층)	서울시 동작구	보라매로5길 51	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>

	인덱스	연도	지역구	시설군	건물명	주소1	주소2	우편번호1	우편번호2	도로명주소1	도로명주소2	연면적	준공일자	부서명	상주인원수	일일사용자수	침상수	최근교육이수일	교육종류코드	교육종류코드.1
30080	7242	2014	노원구	보육시설	한국성서대학교어린이집	서울시 노원구	동일로214길 32 (상계동)	<NA>	<NA>	<NA>	<NA>	1190.0	<NA>	<NA>	0	0	253	<NA>	<NA>	<NA>
16480	50758	2018	종로구	어린이집	상록수어린이집	서울시 종로구	송월1길 73-7	<NA>	<NA>	<NA>	<NA>	0.0	<NA>	<NA>	0	0	0	<NA>	<NA>	<NA>
1715	68283	2024	송파구	실내주차장	문정역skv1	서울시 송파구	법원로 128	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
20313	48855	2017	노원구	장례식장	한국원자력의학원 장례식장	서울시 노원구	노원로 75 (공릉동)	<NA>	<NA>	<NA>	<NA>	3297.0	<NA>	<NA>	0	0	0	2014-11-07	보수	보수
25953	28006	2015	중랑구	목욕장	두산사우나	서울시 중랑구	면목7동 1522 두산(아) 402동 지하1층	<NA>	<NA>	<NA>	<NA>	1320.0	<NA>	<NA>	0	0	133	<NA>	<NA>	<NA>
30882	6595	2014	성동구	실내주차장	성동종합행정마을(성동구청)	서울시 성동구	고산자로 270	<NA>	<NA>	<NA>	<NA>	9503.29	<NA>	<NA>	0	0	135	<NA>	<NA>	<NA>
26721	5321	2014	성동구	목욕장	월드사우나	서울시 성동구	독서당로 272	<NA>	<NA>	<NA>	<NA>	1420.0	2009-3-20	<NA>	0	0	135	2010-4-21	보수	보수
26481	4789	2014	송파구	장례식장	서울아산병원장례식장	서울시 송파구	올림픽로43길 88	<NA>	<NA>	<NA>	<NA>	16200.0	1994-12-31	<NA>	0	0	106	<NA>	<NA>	<NA>
15781	54191	2019	강남구	실내주차장	엔씨소프트 R&D센타(엔씨타워1)	서울특별시 강남구 테헤란로 509	<NA>	<NA>	<NA>	<NA>	<NA>	30902.0	<NA>	<NA>	0	0	0	<NA>	<NA>	<NA>
14855	53901	2019	강남구	학원	비전21닿을관학원	서울특별시 강남구 도곡로 505 , 지하1층 앞쪽 일부 및 6층 (대치동)	<NA>	<NA>	<NA>	<NA>	<NA>	1082.37	<NA>	<NA>	0	0	0	<NA>	신규	신규

Overview

Variables

Common Values

Length

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Math Symbol

Other Number

Close Punctuation

Open Punctuation

Letter Number

Space Separator

Other Symbol

Dash Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Number Forms

CJK

Enclosed Alphanum

Arrows

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Close Punctuation

Open Punctuation

Lowercase Letter

Space Separator

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Open Punctuation

Close Punctuation

Letter Number

Space Separator

Dash Punctuation

Math Symbol

Other Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin