gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	1000
Missing cells	2790
Missing cells (%)	17.4%
Duplicate rows	96
Duplicate rows (%)	9.6%
Total size in memory	133.9 KiB
Average record size in memory	137.1 B

Variable types

Numeric	6
Categorical	5
Text	2
Unsupported	2
DateTime	1

Dataset

Description	평생학습계좌제에서 평가인정 받아 합격한 후 학습과정을 운영하였거나 운영중인 교육기관 및 연계 협력을 맺은 기관의 도로명 주소 정보를 제공합니다.
Author	국가평생교육진흥원
URL	https://www.data.go.kr/data/15090076/fileData.do

Alerts

`시도` has constant value ""	Constant
`시군구` has constant value ""	Constant
`지하여부` has constant value ""	Constant
Dataset has 96 (9.6%) duplicate rows	Duplicates
`읍면동` is highly overall correlated with `우편번호` and 3 other fields	High correlation
`리` is highly overall correlated with `우편번호` and 4 other fields	High correlation
`우편번호` is highly overall correlated with `법정동코드` and 2 other fields	High correlation
`일련번호` is highly overall correlated with `읍면동` and 1 other fields	High correlation
`도로명코드` is highly overall correlated with `리`	High correlation
`법정동코드` is highly overall correlated with `우편번호` and 2 other fields	High correlation
`건물명` has 790 (79.0%) missing values	Missing
`법정동명` has 1000 (100.0%) missing values	Missing
`수정일시` has 1000 (100.0%) missing values	Missing
`법정동명` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`수정일시` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`건물번호(본번+부본)` has 567 (56.7%) zeros	Zeros
`번지` has 266 (26.6%) zeros	Zeros

Reproduction

Analysis started	2024-04-20 22:03:01.068986
Analysis finished	2024-04-20 22:03:09.929570
Duration	8.86 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

우편번호
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	417847.45

Minimum	417801
Maximum	417942
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	417801
5-th percentile	417803
Q1	417807
median	417833
Q3	417843
95-th percentile	417922
Maximum	417942
Range	141
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	40.886495
Coefficient of variation (CV)	9.7850292 × 10^-5
Kurtosis	-0.43282497
Mean	417847.45
Median Absolute Deviation (MAD)	10
Skewness	0.9213058
Sum	4.1784745 × 10⁸
Variance	1671.7055
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
417832	165	16.5%
417842	125	12.5%
417806	112	11.2%
417833	93	9.3%
417922	68	6.8%
417841	58	5.8%
417807	57	5.7%
417911	52	5.2%
417843	45	4.5%
417803	44	4.4%
Other values (9)	181	18.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
417801	30	3.0%
417802	10	1.0%
417803	44	4.4%
417806	112	11.2%
417807	57	5.7%
417831	19	1.9%
417832	165	16.5%
417833	93	9.3%
417840	1	0.1%
417841	58	5.8%

Value	Count	Frequency (%)
417942	24	2.4%
417922	68	6.8%
417921	39	3.9%
417913	2	0.2%
417911	52	5.2%
417894	30	3.0%
417893	26	2.6%
417843	45	4.5%
417842	125	12.5%
417841	58	5.8%

일련번호
Real number (ℝ)

HIGH CORRELATION

Distinct	7
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.43

Minimum	1
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	11
Q3	21
95-th percentile	51
Maximum	61
Range	60
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	17.143775
Coefficient of variation (CV)	1.0434434
Kurtosis	0.16358909
Mean	16.43
Median Absolute Deviation (MAD)	10
Skewness	1.147365
Sum	16430
Variance	293.90901
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	333	33.3%
11	313	31.3%
21	144	14.4%
51	126	12.6%
31	58	5.8%
61	17	1.7%
41	9	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	333	33.3%
11	313	31.3%
21	144	14.4%
31	58	5.8%
41	9	0.9%
51	126	12.6%
61	17	1.7%

Value	Count	Frequency (%)
61	17	1.7%
51	126	12.6%
41	9	0.9%
31	58	5.8%
21	144	14.4%
11	313	31.3%
1	333	33.3%

시도
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

인천광역시	1000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
인천광역시	1000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
인천광역시	1000	100.0%

시군구
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

강화군	1000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
강화군	1000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
강화군	1000	100.0%

읍면동
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

불은면	277
강화읍	277
길상면	229
교동면	107
내가면	56

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
불은면	277	27.7%
강화읍	277	27.7%
길상면	229	22.9%
교동면	107	10.7%
내가면	56	5.6%
삼산면	54	5.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
불은면	277	27.7%
강화읍	277	27.7%
길상면	229	22.9%
교동면	107	10.7%
내가면	56	5.6%
삼산면	54	5.4%

리
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

선두리	171
옥림리	112
두운리	111
온수리	58
신문리	57
Other values (12)	491

Length

Max length	4
Median length	3
Mean length	3.054
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
선두리	171	17.1%
옥림리	112	11.2%
두운리	111	11.1%
온수리	58	5.8%
신문리	57	5.7%
외포리	56	5.6%
오두리	54	5.4%
삼동암리	54	5.4%
갑곳리	54	5.4%
관청리	54	5.4%
Other values (7)	219	21.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
선두리	171	17.1%
옥림리	112	11.2%
두운리	111	11.1%
온수리	58	5.8%
신문리	57	5.7%
외포리	56	5.6%
관청리	54	5.4%
갑곳리	54	5.4%
삼동암리	54	5.4%
오두리	54	5.4%
Other values (7)	219	21.9%

도로명코드
Real number (ℝ)

HIGH CORRELATION

Distinct	67
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.871038 × 10¹¹

Minimum	2.8710216 × 10¹¹
Maximum	2.8710427 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	2.8710216 × 10¹¹
5-th percentile	2.8710315 × 10¹¹
Q1	2.8710316 × 10¹¹
median	2.8710427 × 10¹¹
Q3	2.8710427 × 10¹¹
95-th percentile	2.8710427 × 10¹¹
Maximum	2.8710427 × 10¹¹
Range	2114692
Interquartile range (IQR)	1114331

Descriptive statistics

Standard deviation	577940.81
Coefficient of variation (CV)	2.013003 × 10^-6
Kurtosis	-1.2235842
Mean	2.871038 × 10¹¹
Median Absolute Deviation (MAD)	478
Skewness	-0.53586634
Sum	2.871038 × 10¹⁴
Variance	3.3401558 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
287103157038	116	11.6%
287103157003	60	6.0%
287103157026	53	5.3%
287104271259	43	4.3%
287104271357	40	4.0%
287103150025	40	4.0%
287103157024	29	2.9%
287103157041	26	2.6%
287104271648	25	2.5%
287104271073	24	2.4%
Other values (57)	544	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
287102157001	14	1.4%
287103150025	40	4.0%
287103157003	60	6.0%
287103157006	8	0.8%
287103157008	18	1.8%
287103157010	2	0.2%
287103157013	17	1.7%
287103157019	1	0.1%
287103157021	15	1.5%
287103157024	29	2.9%

Value	Count	Frequency (%)
287104271693	1	0.1%
287104271649	12	1.2%
287104271648	25	2.5%
287104271639	17	1.7%
287104271595	8	0.8%
287104271594	6	0.6%
287104271561	4	0.4%
287104271553	6	0.6%
287104271551	10	1.0%
287104271535	11	1.1%

도로명
Text

Distinct	67
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Length

Max length	9
Median length	8
Mean length	6.179
Min length	3

Characters and Unicode

Total characters	6179
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	6 ?
Unique (%)	0.6%

Sample

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

Value	Count	Frequency (%)
해안남로	116	11.6%
강화동로	60	6.0%
삼산남로	53	5.3%
대룡안길54번길	43	4.3%
보리고개로89번길	40	4.0%
중앙로	40	4.0%
불은남로	29	2.9%
해안서로	26	2.6%
합일길	25	2.5%
강화대로470번길	24	2.4%
Other values (57)	544	54.4%

Most occurring characters

Value	Count	Frequency (%)
로	801	13.0%
길	723	11.7%
번	524	8.5%
동	302	4.9%
남	268	4.3%
4	200	3.2%
안	194	3.1%
1	192	3.1%
2	190	3.1%
강	180	2.9%
Other values (45)	2605	42.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4821	78.0%
Decimal Number	1358	22.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	801	16.6%
길	723	15.0%
번	524	10.9%
동	302	6.3%
남	268	5.6%
안	194	4.0%
강	180	3.7%
화	180	3.7%
대	159	3.3%
해	143	3.0%
Other values (35)	1347	27.9%

Decimal Number

Value	Count	Frequency (%)
4	200	14.7%
1	192	14.1%
2	190	14.0%
3	140	10.3%
0	138	10.2%
5	125	9.2%
9	119	8.8%
6	97	7.1%
7	88	6.5%
8	69	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4821	78.0%
Common	1358	22.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	801	16.6%
길	723	15.0%
번	524	10.9%
동	302	6.3%
남	268	5.6%
안	194	4.0%
강	180	3.7%
화	180	3.7%
대	159	3.3%
해	143	3.0%
Other values (35)	1347	27.9%

Common

Value	Count	Frequency (%)
4	200	14.7%
1	192	14.1%
2	190	14.0%
3	140	10.3%
0	138	10.2%
5	125	9.2%
9	119	8.8%
6	97	7.1%
7	88	6.5%
8	69	5.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4821	78.0%
ASCII	1358	22.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
로	801	16.6%
길	723	15.0%
번	524	10.9%
동	302	6.3%
남	268	5.6%
안	194	4.0%
강	180	3.7%
화	180	3.7%
대	159	3.3%
해	143	3.0%
Other values (35)	1347	27.9%

ASCII

Value	Count	Frequency (%)
4	200	14.7%
1	192	14.1%
2	190	14.0%
3	140	10.3%
0	138	10.2%
5	125	9.2%
9	119	8.8%
6	97	7.1%
7	88	6.5%
8	69	5.1%

지하여부
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

0	1000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
0	1000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1000	100.0%

건물번호(본번+부본)
Real number (ℝ)

ZEROS

Distinct	42
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.135

Minimum	0
Maximum	45
Zeros	567
Zeros (%)	56.7%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	5
95-th percentile	24
Maximum	45
Range	45
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	7.9580214
Coefficient of variation (CV)	1.9245517
Kurtosis	5.6317348
Mean	4.135
Median Absolute Deviation (MAD)	0
Skewness	2.4133503
Sum	4135
Variance	63.330105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	567	56.7%
1	104	10.4%
2	35	3.5%
3	25	2.5%
5	22	2.2%
6	22	2.2%
7	21	2.1%
12	18	1.8%
4	16	1.6%
8	15	1.5%
Other values (32)	155	15.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	567	56.7%
1	104	10.4%
2	35	3.5%
3	25	2.5%
4	16	1.6%
5	22	2.2%
6	22	2.2%
7	21	2.1%
8	15	1.5%
9	13	1.3%

Value	Count	Frequency (%)
45	1	0.1%
41	2	0.2%
40	2	0.2%
38	1	0.1%
37	2	0.2%
36	1	0.1%
35	3	0.3%
34	2	0.2%
33	3	0.3%
32	1	0.1%

건물명
Text

MISSING

Distinct	192
Distinct (%)	91.4%
Missing	790
Missing (%)	79.0%
Memory size	7.9 KiB

Length

Max length	16
Median length	13
Mean length	5.5047619
Min length	2

Characters and Unicode

Total characters	1156
Distinct characters	315
Distinct categories	9 ?
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	185 ?
Unique (%)	88.1%

Sample

1st row	삼산중계유선방송사
2nd row	노을노래방펜션
3rd row	해오름민박
4th row	투윈스펜션
5th row	돈과우 정육점

Value	Count	Frequency (%)
용진주택	6	2.8%
대한아트빌	4	1.8%
동호타운	4	1.8%
오성맨션	4	1.8%
우성빌라	3	1.4%
성진리치타운	2	0.9%
동경그린맨션	2	0.9%
영운모터	1	0.5%
교동의원	1	0.5%
동산약방	1	0.5%
Other values (190)	190	87.2%

Most occurring characters

Value	Count	Frequency (%)
동	26	2.2%
교	25	2.2%
사	25	2.2%
성	21	1.8%
소	18	1.6%
원	17	1.5%
대	16	1.4%
주	15	1.3%
회	15	1.3%
션	14	1.2%
Other values (305)	964	83.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1111	96.1%
Uppercase Letter	15	1.3%
Space Separator	8	0.7%
Lowercase Letter	8	0.7%
Close Punctuation	4	0.3%
Open Punctuation	4	0.3%
Decimal Number	4	0.3%
Dash Punctuation	1	0.1%
Other Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	26	2.3%
교	25	2.3%
사	25	2.3%
성	21	1.9%
소	18	1.6%
원	17	1.5%
대	16	1.4%
주	15	1.4%
회	15	1.4%
션	14	1.3%
Other values (278)	919	82.7%

Uppercase Letter

Value	Count	Frequency (%)
T	2	13.3%
V	2	13.3%
K	1	6.7%
L	1	6.7%
G	1	6.7%
S	1	6.7%
O	1	6.7%
E	1	6.7%
R	1	6.7%
A	1	6.7%
Other values (3)	3	20.0%

Lowercase Letter

Value	Count	Frequency (%)
c	2	25.0%
r	1	12.5%
o	1	12.5%
k	1	12.5%
a	1	12.5%
m	1	12.5%
p	1	12.5%

Decimal Number

Value	Count	Frequency (%)
1	3	75.0%
4	1	25.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1111	96.1%
Latin	23	2.0%
Common	22	1.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	26	2.3%
교	25	2.3%
사	25	2.3%
성	21	1.9%
소	18	1.6%
원	17	1.5%
대	16	1.4%
주	15	1.4%
회	15	1.4%
션	14	1.3%
Other values (278)	919	82.7%

Latin

Value	Count	Frequency (%)
c	2	8.7%
T	2	8.7%
V	2	8.7%
K	1	4.3%
L	1	4.3%
G	1	4.3%
S	1	4.3%
O	1	4.3%
E	1	4.3%
R	1	4.3%
Other values (10)	10	43.5%

Common

Value	Count	Frequency (%)
	8	36.4%
)	4	18.2%
(	4	18.2%
1	3	13.6%
-	1	4.5%
4	1	4.5%
.	1	4.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1111	96.1%
ASCII	45	3.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	26	2.3%
교	25	2.3%
사	25	2.3%
성	21	1.9%
소	18	1.6%
원	17	1.5%
대	16	1.4%
주	15	1.4%
회	15	1.4%
션	14	1.3%
Other values (278)	919	82.7%

ASCII

Value	Count	Frequency (%)
	8	17.8%
)	4	8.9%
(	4	8.9%
1	3	6.7%
c	2	4.4%
T	2	4.4%
V	2	4.4%
K	1	2.2%
L	1	2.2%
G	1	2.2%
Other values (17)	17	37.8%

법정동코드
Real number (ℝ)

HIGH CORRELATION

Distinct	17
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8710319 × 10⁹

Minimum	2.871025 × 10⁹
Maximum	2.871041 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	2.871025 × 10⁹
5-th percentile	2.871025 × 10⁹
Q1	2.871025 × 10⁹
median	2.871032 × 10⁹
Q3	2.871033 × 10⁹
95-th percentile	2.871041 × 10⁹
Maximum	2.871041 × 10⁹
Range	16004
Interquartile range (IQR)	7995

Descriptive statistics

Standard deviation	5091.2125
Coefficient of variation (CV)	1.7733041 × 10^-6
Kurtosis	-0.79547558
Mean	2.8710319 × 10⁹
Median Absolute Deviation (MAD)	996
Skewness	0.10786108
Sum	2.8710319 × 10¹²
Variance	25920445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2871033022	171	17.1%
2871025027	112	11.2%
2871032021	111	11.1%
2871033021	58	5.8%
2871025021	57	5.7%
2871036023	56	5.6%
2871025025	54	5.4%
2871032023	54	5.4%
2871032026	54	5.4%
2871025022	54	5.4%
Other values (7)	219	21.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2871025021	57	5.7%
2871025022	54	5.4%
2871025025	54	5.4%
2871025027	112	11.2%
2871032021	111	11.1%
2871032023	54	5.4%
2871032025	19	1.9%
2871032026	54	5.4%
2871032027	39	3.9%
2871033021	58	5.8%

Value	Count	Frequency (%)
2871041025	52	5.2%
2871041021	2	0.2%
2871040029	17	1.7%
2871040022	39	3.9%
2871040021	51	5.1%
2871036023	56	5.6%
2871033022	171	17.1%
2871033021	58	5.8%
2871032027	39	3.9%
2871032026	54	5.4%

법정동명
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1000
Missing (%)	100.0%
Memory size	8.9 KiB

번지
Real number (ℝ)

ZEROS

Distinct	64
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.283

Minimum	0
Maximum	151
Zeros	266
Zeros (%)	26.6%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	27.05
Maximum	151
Range	151
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	13.752019
Coefficient of variation (CV)	2.1887664
Kurtosis	29.53279
Mean	6.283
Median Absolute Deviation (MAD)	2
Skewness	4.7895914
Sum	6283
Variance	189.11803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	266	26.6%
1	182	18.2%
2	111	11.1%
3	78	7.8%
4	56	5.6%
5	51	5.1%
6	39	3.9%
8	25	2.5%
7	24	2.4%
9	16	1.6%
Other values (54)	152	15.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	266	26.6%
1	182	18.2%
2	111	11.1%
3	78	7.8%
4	56	5.6%
5	51	5.1%
6	39	3.9%
7	24	2.4%
8	25	2.5%
9	16	1.6%

Value	Count	Frequency (%)
151	1	0.1%
123	1	0.1%
103	1	0.1%
89	1	0.1%
85	1	0.1%
83	1	0.1%
82	2	0.2%
81	1	0.1%
78	2	0.2%
76	1	0.1%

작성일시
Date

Distinct	20
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Minimum	2013-03-21 11:34:31
Maximum	2013-03-21 11:35:11

Histogram

Histogram with fixed size bins (bins=20)

수정일시
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1000
Missing (%)	100.0%
Memory size	8.9 KiB

Heatmap
Table

	우편번호	일련번호	읍면동	리	도로명코드	도로명	건물번호(본번+부본)	법정동코드	번지	작성일시
우편번호	1.000	0.651	0.995	1.000	0.720	0.998	0.137	1.000	0.039	0.989
일련번호	0.651	1.000	0.742	0.967	0.576	0.990	0.199	0.636	0.000	0.926
읍면동	0.995	0.742	1.000	1.000	0.738	0.998	0.185	1.000	0.094	0.988
리	1.000	0.967	1.000	1.000	0.767	0.998	0.206	1.000	0.312	0.989
도로명코드	0.720	0.576	0.738	0.767	1.000	1.000	0.034	0.585	0.069	0.865
도로명	0.998	0.990	0.998	0.998	1.000	1.000	0.446	0.996	0.570	0.994
건물번호(본번+부본)	0.137	0.199	0.185	0.206	0.034	0.446	1.000	0.050	0.089	0.174
법정동코드	1.000	0.636	1.000	1.000	0.585	0.996	0.050	1.000	0.075	0.989
번지	0.039	0.000	0.094	0.312	0.069	0.570	0.089	0.075	1.000	0.261
작성일시	0.989	0.926	0.988	0.989	0.865	0.994	0.174	0.989	0.261	1.000

Heatmap
Table

	읍면동	리
읍면동	1.000	0.994
리	0.994	1.000

Heatmap
Table

	우편번호	일련번호	도로명코드	건물번호(본번+부본)	법정동코드	번지	읍면동	리
우편번호	1.000	0.215	-0.127	-0.002	0.858	0.018	0.894	0.931
일련번호	0.215	1.000	0.099	0.056	0.249	-0.003	0.560	0.877
도로명코드	-0.127	0.099	1.000	-0.036	-0.180	-0.089	0.402	0.602
건물번호(본번+부본)	-0.002	0.056	-0.036	1.000	0.033	0.073	0.088	0.081
법정동코드	0.858	0.249	-0.180	0.033	1.000	0.024	0.999	0.993
번지	0.018	-0.003	-0.089	0.073	0.024	1.000	0.046	0.129
읍면동	0.894	0.560	0.402	0.088	0.999	0.046	1.000	0.994
리	0.931	0.877	0.602	0.081	0.993	0.129	0.994	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

	우편번호	일련번호	시도	시군구	읍면동	리	도로명코드	도로명	건물번호(본번+부본)	건물명	법정동코드	법정동명	번지	작성일시	수정일시
0	417913	11	인천광역시	강화군	삼산면	석모리	287103157026	삼산남로	0	<NA>	2871041021	<NA>	0	2013/03/21 11:35:11	<NA>
1	417913	11	인천광역시	강화군	삼산면	석모리	287103157027	삼산북로	0	삼산중계유선방송사	2871041021	<NA>	11	2013/03/21 11:35:10	<NA>
2	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	0	<NA>	2871041025	<NA>	2	2013/03/21 11:35:09	<NA>
3	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	24	<NA>	2871041025	<NA>	0	2013/03/21 11:35:09	<NA>
4	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	1	<NA>	2871041025	<NA>	1	2013/03/21 11:35:09	<NA>
5	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	0	노을노래방펜션	2871041025	<NA>	0	2013/03/21 11:35:09	<NA>
6	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	0	<NA>	2871041025	<NA>	1	2013/03/21 11:35:09	<NA>
7	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	14	<NA>	2871041025	<NA>	10	2013/03/21 11:35:09	<NA>
8	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	6	<NA>	2871041025	<NA>	2	2013/03/21 11:35:09	<NA>
9	417911	1	인천광역시	강화군	삼산면	매음리	287103157026	삼산남로	0	<NA>	2871041025	<NA>	2	2013/03/21 11:35:09	<NA>

	우편번호	일련번호	시도	시군구	읍면동	리	도로명코드	도로명	건물번호(본번+부본)	건물명	법정동코드	법정동명	번지	작성일시	수정일시
990	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271057	강화대로215번길	0	<NA>	2871025025	<NA>	2	2013/03/21 11:34:31	<NA>
991	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271057	강화대로215번길	0	<NA>	2871025025	<NA>	0	2013/03/21 11:34:31	<NA>
992	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271057	강화대로215번길	0	<NA>	2871025025	<NA>	0	2013/03/21 11:34:31	<NA>
993	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271057	강화대로215번길	0	용진주택	2871025025	<NA>	12	2013/03/21 11:34:31	<NA>
994	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271057	강화대로215번길	1	<NA>	2871025025	<NA>	1	2013/03/21 11:34:31	<NA>
995	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271057	강화대로215번길	6	<NA>	2871025025	<NA>	3	2013/03/21 11:34:31	<NA>
996	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271055	강화대로175번길	0	<NA>	2871025025	<NA>	1	2013/03/21 11:34:31	<NA>
997	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271055	강화대로175번길	0	<NA>	2871025025	<NA>	1	2013/03/21 11:34:31	<NA>
998	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271055	강화대로175번길	1	<NA>	2871025025	<NA>	0	2013/03/21 11:34:31	<NA>
999	417942	11	인천광역시	강화군	강화읍	갑곳리	287104271055	강화대로175번길	5	<NA>	2871025025	<NA>	1	2013/03/21 11:34:31	<NA>

Most frequently occurring

	우편번호	일련번호	시도	시군구	읍면동	리	도로명코드	도로명	건물명	법정동코드	번지	작성일시	# duplicates
13	417806	11	인천광역시	강화군	강화읍	옥림리	287104271318	동문로259번길	<NA>	2871025027	0	2013/03/21 11:34:44	8
88	417921	31	인천광역시	강화군	교동면	읍내리	287104271187	교동남로212번길	<NA>	2871040022	0	2013/03/21 11:34:49	8
17	417807	11	인천광역시	강화군	강화읍	신문리	287104271648	합일길	<NA>	2871025021	0	2013/03/21 11:34:41	7
87	417921	31	인천광역시	강화군	교동면	읍내리	287104271186	교동남로207번길	<NA>	2871040022	1	2013/03/21 11:34:49	7
61	417842	51	인천광역시	강화군	길상면	선두리	287103157038	해안남로	<NA>	2871033022	1	2013/03/21 11:34:52	6
18	417807	11	인천광역시	강화군	강화읍	신문리	287104271648	합일길	<NA>	2871025021	1	2013/03/21 11:34:41	5
21	417807	11	인천광역시	강화군	강화읍	신문리	287104271649	합일길9번길	<NA>	2871025021	0	2013/03/21 11:34:41	5
67	417842	51	인천광역시	강화군	길상면	선두리	287104271357	보리고개로89번길	<NA>	2871033022	0	2013/03/21 11:34:51	5
3	417803	1	인천광역시	강화군	강화읍	관청리	287104271073	강화대로470번길	<NA>	2871025022	0	2013/03/21 11:34:35	4
7	417806	11	인천광역시	강화군	강화읍	옥림리	287103157021	동문로	<NA>	2871025027	0	2013/03/21 11:34:44	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Interactions

Correlations

Missing values

Sample

Duplicate rows

Most frequently occurring