gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	10000
Missing cells	18959
Missing cells (%)	11.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	153.0 B

Variable types

Numeric	6
Categorical	5
Text	4
Boolean	1
Unsupported	1

Dataset

Description	부산광역시_북구_U옥외광고물통합관리시스템_새주소관리_20221108
Author	부산광역시 북구
URL	http://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050087

Alerts

`시도` has constant value ""	Constant
`시군구` has constant value ""	Constant
`도로위계` is highly overall correlated with `우편번호1`	High correlation
`읍면동` is highly overall correlated with `순번` and 3 other fields	High correlation
`우편번호1` is highly overall correlated with `순번` and 8 other fields	High correlation
`산(확인)` is highly overall correlated with `우편번호1`	High correlation
`순번` is highly overall correlated with `우편번호2` and 3 other fields	High correlation
`우편번호2` is highly overall correlated with `순번` and 2 other fields	High correlation
`건물번호` is highly overall correlated with `우편번호1`	High correlation
`건물번호2` is highly overall correlated with `우편번호1`	High correlation
`연결이미지` is highly overall correlated with `순번` and 3 other fields	High correlation
`신우편번호` is highly overall correlated with `우편번호1` and 1 other fields	High correlation
`우편번호1` is highly imbalanced (84.7%)	Imbalance
`산(확인)` is highly imbalanced (93.8%)	Imbalance
`도로위계` is highly imbalanced (57.3%)	Imbalance
`우편번호2` has 221 (2.2%) missing values	Missing
`도로명` has 156 (1.6%) missing values	Missing
`건물번호` has 154 (1.5%) missing values	Missing
`건물번호2` has 154 (1.5%) missing values	Missing
`건물명` has 7686 (76.9%) missing values	Missing
`지번` has 154 (1.5%) missing values	Missing
`연결이미지` has 154 (1.5%) missing values	Missing
`리` has 10000 (100.0%) missing values	Missing
`신우편번호` has 280 (2.8%) missing values	Missing
`순번` has unique values	Unique
`리` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`건물번호2` has 6668 (66.7%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 16:53:33.297807
Analysis finished	2023-12-10 16:53:44.733151
Duration	11.44 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

순번
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8814.7524

Minimum	4
Maximum	17635
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	4
5-th percentile	873.65
Q1	4460.75
median	8794.5
Q3	13144
95-th percentile	16744.05
Maximum	17635
Range	17631
Interquartile range (IQR)	8683.25

Descriptive statistics

Standard deviation	5065.4618
Coefficient of variation (CV)	0.5746573
Kurtosis	-1.1797701
Mean	8814.7524
Median Absolute Deviation (MAD)	4338
Skewness	-0.004177846
Sum	88147524
Variance	25658904
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17197	1	< 0.1%
4196	1	< 0.1%
7951	1	< 0.1%
2504	1	< 0.1%
10957	1	< 0.1%
3825	1	< 0.1%
15557	1	< 0.1%
15733	1	< 0.1%
14639	1	< 0.1%
2500	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
17	1	< 0.1%
18	1	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
17635	1	< 0.1%
17632	1	< 0.1%
17631	1	< 0.1%
17629	1	< 0.1%
17628	1	< 0.1%
17627	1	< 0.1%
17626	1	< 0.1%
17624	1	< 0.1%
17623	1	< 0.1%
17622	1	< 0.1%

우편번호1
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

616	9779
<NA>	221

Length

Max length	4
Median length	3
Mean length	3.0221
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	616
2nd row	616
3rd row	616
4th row	616
5th row	616

Common Values

Value	Count	Frequency (%)
616	9779	97.8%
<NA>	221	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
616	9779	97.8%
na	221	2.2%

우편번호2
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	133
Distinct (%)	1.4%
Missing	221
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	813.90101

Minimum	90
Maximum	861
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	90
5-th percentile	800
Q1	804
median	816
Q3	828
95-th percentile	835
Maximum	861
Range	771
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	33.581339
Coefficient of variation (CV)	0.041259733
Kurtosis	334.98949
Mean	813.90101
Median Absolute Deviation (MAD)	12
Skewness	-15.988812
Sum	7959138
Variance	1127.7063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
830	697	7.0%
802	552	5.5%
800	525	5.2%
831	490	4.9%
801	463	4.6%
806	451	4.5%
803	409	4.1%
817	407	4.1%
807	400	4.0%
805	385	3.9%
Other values (123)	5000	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
90	10	0.1%
110	4	< 0.1%
120	2	< 0.1%
701	2	< 0.1%
702	6	0.1%
703	4	< 0.1%
706	2	< 0.1%
715	3	< 0.1%
716	4	< 0.1%
718	2	< 0.1%

Value	Count	Frequency (%)
861	4	< 0.1%
854	63	0.6%
853	25	0.2%
852	98	1.0%
851	6	0.1%
849	9	0.1%
848	2	< 0.1%
847	2	< 0.1%
846	121	1.2%
845	35	0.4%

시도
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

부산광역시	10000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
부산광역시	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
부산광역시	10000	100.0%

시군구
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

북구	10000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
북구	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
북구	10000	100.0%

읍면동
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

구포동	4155
만덕동	2400
덕천동	2125
화명동	907
금곡동	413

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	화명동
2nd row	구포동
3rd row	만덕동
4th row	만덕동
5th row	구포동

Common Values

Value	Count	Frequency (%)
구포동	4155	41.5%
만덕동	2400	24.0%
덕천동	2125	21.2%
화명동	907	9.1%
금곡동	413	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
구포동	4155	41.5%
만덕동	2400	24.0%
덕천동	2125	21.2%
화명동	907	9.1%
금곡동	413	4.1%

번지
Text

Distinct	7739
Distinct (%)	77.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	7
Mean length	5.6057
Min length	1

Characters and Unicode

Total characters	56057
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	6156 ?
Unique (%)	61.6%

Sample

1st row	803
2nd row	1251-6
3rd row	888-3
4th row	883-7
5th row	1240-4

Value	Count	Frequency (%)
825-10	16	0.2%
825-11	13	0.1%
216-7	12	0.1%
824	10	0.1%
1060-316	9	0.1%
1150	9	0.1%
1170-1	8	0.1%
35796	8	0.1%
774	8	0.1%
2306	8	0.1%
Other values (7734)	9919	99.0%

Most occurring characters

Value	Count	Frequency (%)
1	9662	17.2%
-	8723	15.6%
2	6479	11.6%
3	5240	9.3%
8	4406	7.9%
4	4382	7.8%
0	3912	7.0%
5	3391	6.0%
6	3268	5.8%
9	3268	5.8%
Other values (4)	3326	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	47274	84.3%
Dash Punctuation	8723	15.6%
Other Letter	40	0.1%
Space Separator	20	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	9662	20.4%
2	6479	13.7%
3	5240	11.1%
8	4406	9.3%
4	4382	9.3%
0	3912	8.3%
5	3391	7.2%
6	3268	6.9%
9	3268	6.9%
7	3266	6.9%

Other Letter

Value	Count	Frequency (%)
월	20	50.0%
일	20	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8723	100.0%

Space Separator

Value	Count	Frequency (%)
	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	56017	99.9%
Hangul	40	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	9662	17.2%
-	8723	15.6%
2	6479	11.6%
3	5240	9.4%
8	4406	7.9%
4	4382	7.8%
0	3912	7.0%
5	3391	6.1%
6	3268	5.8%
9	3268	5.8%
Other values (2)	3286	5.9%

Hangul

Value	Count	Frequency (%)
월	20	50.0%
일	20	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56017	99.9%
Hangul	40	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	9662	17.2%
-	8723	15.6%
2	6479	11.6%
3	5240	9.4%
8	4406	7.9%
4	4382	7.8%
0	3912	7.0%
5	3391	6.1%
6	3268	5.8%
9	3268	5.8%
Other values (2)	3286	5.9%

Hangul

Value	Count	Frequency (%)
월	20	50.0%
일	20	50.0%

도로명
Text

MISSING

Distinct	423
Distinct (%)	4.3%
Missing	156
Missing (%)	1.6%
Memory size	156.2 KiB

Length

Max length	11
Median length	9
Mean length	6.9172085
Min length	3

Characters and Unicode

Total characters	68093
Distinct characters	82
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	4 ?
Unique (%)	< 0.1%

Sample

1st row	화명대로64번길
2nd row	시랑로138번길
3rd row	덕천로380번길
4th row	덕천로352번길
5th row	시랑로163번길

Value	Count	Frequency (%)
금곡대로	219	2.2%
덕천로	201	2.0%
백양대로	199	2.0%
시랑로	180	1.8%
모분재로	161	1.6%
상학로	154	1.6%
만덕대로	122	1.2%
만덕1로42번길	121	1.2%
의성로121번길	120	1.2%
만덕1로	115	1.2%
Other values (413)	8252	83.8%

Most occurring characters

Value	Count	Frequency (%)
로	9299	13.7%
길	7403	10.9%
번	6858	10.1%
1	4619	6.8%
대	2727	4.0%
덕	2460	3.6%
2	2438	3.6%
3	1814	2.7%
6	1747	2.6%
만	1572	2.3%
Other values (72)	27156	39.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	49642	72.9%
Decimal Number	18451	27.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	9299	18.7%
길	7403	14.9%
번	6858	13.8%
대	2727	5.5%
덕	2460	5.0%
만	1572	3.2%
시	1167	2.4%
천	960	1.9%
성	948	1.9%
상	947	1.9%
Other values (62)	15301	30.8%

Decimal Number

Value	Count	Frequency (%)
1	4619	25.0%
2	2438	13.2%
3	1814	9.8%
6	1747	9.5%
0	1544	8.4%
5	1450	7.9%
7	1445	7.8%
4	1386	7.5%
8	1299	7.0%
9	709	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	49642	72.9%
Common	18451	27.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	9299	18.7%
길	7403	14.9%
번	6858	13.8%
대	2727	5.5%
덕	2460	5.0%
만	1572	3.2%
시	1167	2.4%
천	960	1.9%
성	948	1.9%
상	947	1.9%
Other values (62)	15301	30.8%

Common

Value	Count	Frequency (%)
1	4619	25.0%
2	2438	13.2%
3	1814	9.8%
6	1747	9.5%
0	1544	8.4%
5	1450	7.9%
7	1445	7.8%
4	1386	7.5%
8	1299	7.0%
9	709	3.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	49642	72.9%
ASCII	18451	27.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
로	9299	18.7%
길	7403	14.9%
번	6858	13.8%
대	2727	5.5%
덕	2460	5.0%
만	1572	3.2%
시	1167	2.4%
천	960	1.9%
성	948	1.9%
상	947	1.9%
Other values (62)	15301	30.8%

ASCII

Value	Count	Frequency (%)
1	4619	25.0%
2	2438	13.2%
3	1814	9.8%
6	1747	9.5%
0	1544	8.4%
5	1450	7.9%
7	1445	7.8%
4	1386	7.5%
8	1299	7.0%
9	709	3.8%

건물번호
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	573
Distinct (%)	5.8%
Missing	154
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	90.708511

Minimum	1
Maximum	1791
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	15
median	32
Q3	63
95-th percentile	316
Maximum	1791
Range	1790
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	228.8445
Coefficient of variation (CV)	2.5228558
Kurtosis	27.220526
Mean	90.708511
Median Absolute Deviation (MAD)	20
Skewness	5.045645
Sum	893116
Variance	52369.803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	235	2.4%
15	219	2.2%
7	215	2.1%
13	215	2.1%
14	213	2.1%
11	204	2.0%
10	202	2.0%
20	199	2.0%
16	196	2.0%
21	195	1.9%
Other values (563)	7753	77.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	40	0.4%
2	69	0.7%
3	116	1.2%
4	120	1.2%
5	170	1.7%
6	172	1.7%
7	215	2.1%
8	177	1.8%
9	235	2.4%
10	202	2.0%

Value	Count	Frequency (%)
1791	1	< 0.1%
1790	1	< 0.1%
1787	1	< 0.1%
1780	1	< 0.1%
1778	1	< 0.1%
1773	1	< 0.1%
1772	2	< 0.1%
1771	1	< 0.1%
1770	1	< 0.1%
1768	3	< 0.1%

건물번호2
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	61
Distinct (%)	0.6%
Missing	154
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.202925

Minimum	-1
Maximum	138
Zeros	6668
Zeros (%)	66.7%
Negative	1
Negative (%)	< 0.1%
Memory size	166.0 KiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	13
Maximum	138
Range	139
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	6.255379
Coefficient of variation (CV)	2.8395787
Kurtosis	97.831195
Mean	2.202925
Median Absolute Deviation (MAD)	0
Skewness	7.4849132
Sum	21690
Variance	39.129767
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6668	66.7%
1	1131	11.3%
2	250	2.5%
5	167	1.7%
6	157	1.6%
4	151	1.5%
7	148	1.5%
8	142	1.4%
3	139	1.4%
10	112	1.1%
Other values (51)	781	7.8%
(Missing)	154	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	1	< 0.1%
0	6668	66.7%
1	1131	11.3%
2	250	2.5%
3	139	1.4%
4	151	1.5%
5	167	1.7%
6	157	1.6%
7	148	1.5%
8	142	1.4%

Value	Count	Frequency (%)
138	1	< 0.1%
118	1	< 0.1%
116	1	< 0.1%
115	1	< 0.1%
100	1	< 0.1%
98	1	< 0.1%
96	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
79	3	< 0.1%

건물명
Text

MISSING

Distinct	1515
Distinct (%)	65.5%
Missing	7686
Missing (%)	76.9%
Memory size	156.2 KiB

Length

Max length	19
Median length	15
Mean length	5.7722558
Min length	2

Characters and Unicode

Total characters	13357
Distinct characters	535
Distinct categories	9 ?
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	1092 ?
Unique (%)	47.2%

Sample

1st row	부광주택
2nd row	부산빌딩
3rd row	고려주차장
4th row	동진노인독거요양원
5th row	골목집영양탕

Value	Count	Frequency (%)
시영아파트	19	0.8%
주공아파트	18	0.7%
빌라	13	0.5%
그린코아	12	0.5%
롯데아파트	12	0.5%
주민센터	11	0.4%
럭키만덕아파트	10	0.4%
동원로얄듀크	9	0.4%
금강빌라	9	0.4%
유림아파트	8	0.3%
Other values (1581)	2403	95.2%

Most occurring characters

Value	Count	Frequency (%)
빌	622	4.7%
라	515	3.9%
아	420	3.1%
트	376	2.8%
파	350	2.6%
원	235	1.8%
동	234	1.8%
	210	1.6%
대	197	1.5%
이	185	1.4%
Other values (525)	10013	75.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	12848	96.2%
Space Separator	210	1.6%
Decimal Number	125	0.9%
Uppercase Letter	99	0.7%
Open Punctuation	23	0.2%
Close Punctuation	23	0.2%
Other Punctuation	15	0.1%
Lowercase Letter	11	0.1%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
빌	622	4.8%
라	515	4.0%
아	420	3.3%
트	376	2.9%
파	350	2.7%
원	235	1.8%
동	234	1.8%
대	197	1.5%
이	185	1.4%
화	181	1.4%
Other values (482)	9533	74.2%

Uppercase Letter

Value	Count	Frequency (%)
I	18	18.2%
G	15	15.2%
S	15	15.2%
V	10	10.1%
L	10	10.1%
K	8	8.1%
P	4	4.0%
M	3	3.0%
O	2	2.0%
T	2	2.0%
Other values (9)	12	12.1%

Decimal Number

Value	Count	Frequency (%)
2	55	44.0%
3	25	20.0%
1	17	13.6%
8	8	6.4%
4	8	6.4%
5	6	4.8%
7	4	3.2%
6	2	1.6%

Lowercase Letter

Value	Count	Frequency (%)
e	3	27.3%
x	2	18.2%
t	1	9.1%
a	1	9.1%
m	1	9.1%
d	1	9.1%
p	1	9.1%
i	1	9.1%

Other Punctuation

Value	Count	Frequency (%)
·	8	53.3%
.	3	20.0%
,	2	13.3%
&	2	13.3%

Space Separator

Value	Count	Frequency (%)
	210	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	23	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	23	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	12848	96.2%
Common	399	3.0%
Latin	110	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
빌	622	4.8%
라	515	4.0%
아	420	3.3%
트	376	2.9%
파	350	2.7%
원	235	1.8%
동	234	1.8%
대	197	1.5%
이	185	1.4%
화	181	1.4%
Other values (482)	9533	74.2%

Latin

Value	Count	Frequency (%)
I	18	16.4%
G	15	13.6%
S	15	13.6%
V	10	9.1%
L	10	9.1%
K	8	7.3%
P	4	3.6%
e	3	2.7%
M	3	2.7%
x	2	1.8%
Other values (17)	22	20.0%

Common

Value	Count	Frequency (%)
	210	52.6%
2	55	13.8%
3	25	6.3%
(	23	5.8%
)	23	5.8%
1	17	4.3%
8	8	2.0%
·	8	2.0%
4	8	2.0%
5	6	1.5%
Other values (6)	16	4.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	12848	96.2%
ASCII	501	3.8%
None	8	0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
빌	622	4.8%
라	515	4.0%
아	420	3.3%
트	376	2.9%
파	350	2.7%
원	235	1.8%
동	234	1.8%
대	197	1.5%
이	185	1.4%
화	181	1.4%
Other values (482)	9533	74.2%

ASCII

Value	Count	Frequency (%)
	210	41.9%
2	55	11.0%
3	25	5.0%
(	23	4.6%
)	23	4.6%
I	18	3.6%
1	17	3.4%
G	15	3.0%
S	15	3.0%
V	10	2.0%
Other values (32)	90	18.0%

None

Value	Count	Frequency (%)
·	8	100.0%

산(확인)
Boolean

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	87.9 KiB

False	9928
True	72

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	9928	99.3%
True	72	0.7%

도로위계
Categorical

HIGH CORRELATION IMBALANCE

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

4	7543
2	1607
1	678
<NA>	156
5	11

Length

Max length	4
Median length	1
Mean length	1.0468
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
4	7543	75.4%
2	1607	16.1%
1	678	6.8%
<NA>	156	1.6%
5	11	0.1%
3	5	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	7543	75.4%
2	1607	16.1%
1	678	6.8%
na	156	1.6%
5	11	0.1%
3	5	< 0.1%

지번
Text

MISSING

Distinct	8039
Distinct (%)	81.6%
Missing	154
Missing (%)	1.5%
Memory size	156.2 KiB

Length

Max length	12
Median length	11
Mean length	9.6073532
Min length	5

Characters and Unicode

Total characters	94594
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	6733 ?
Unique (%)	68.4%

Sample

1st row	화명동 803
2nd row	구포동 1251-6
3rd row	만덕동 888-3
4th row	만덕동 883-7
5th row	구포동 1240-4

Value	Count	Frequency (%)
구포동	4101	20.8%
만덕동	2371	12.0%
덕천동	2105	10.7%
화명동	869	4.4%
금곡동	400	2.0%
825-10	16	0.1%
825-11	13	0.1%
216-7	12	0.1%
824	10	0.1%
1150	9	< 0.1%
Other values (7627)	9786	49.7%

Most occurring characters

Value	Count	Frequency (%)
동	9846	10.4%
	9846	10.4%
1	9577	10.1%
-	9015	9.5%
2	6365	6.7%
3	5061	5.4%
덕	4476	4.7%
8	4286	4.5%
4	4191	4.4%
포	4101	4.3%
Other values (13)	27830	29.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	46123	48.8%
Other Letter	29610	31.3%
Space Separator	9846	10.4%
Dash Punctuation	9015	9.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	9846	33.3%
덕	4476	15.1%
포	4101	13.9%
구	4101	13.9%
만	2371	8.0%
천	2105	7.1%
명	869	2.9%
화	869	2.9%
금	400	1.4%
곡	400	1.4%

Decimal Number

Value	Count	Frequency (%)
1	9577	20.8%
2	6365	13.8%
3	5061	11.0%
8	4286	9.3%
4	4191	9.1%
0	3762	8.2%
5	3273	7.1%
7	3256	7.1%
9	3197	6.9%
6	3155	6.8%

Space Separator

Value	Count	Frequency (%)
	9846	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9015	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64984	68.7%
Hangul	29610	31.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	9846	15.2%
1	9577	14.7%
-	9015	13.9%
2	6365	9.8%
3	5061	7.8%
8	4286	6.6%
4	4191	6.4%
0	3762	5.8%
5	3273	5.0%
7	3256	5.0%
Other values (2)	6352	9.8%

Hangul

Value	Count	Frequency (%)
동	9846	33.3%
덕	4476	15.1%
포	4101	13.9%
구	4101	13.9%
만	2371	8.0%
천	2105	7.1%
명	869	2.9%
화	869	2.9%
금	400	1.4%
곡	400	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64984	68.7%
Hangul	29610	31.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	9846	33.3%
덕	4476	15.1%
포	4101	13.9%
구	4101	13.9%
만	2371	8.0%
천	2105	7.1%
명	869	2.9%
화	869	2.9%
금	400	1.4%
곡	400	1.4%

ASCII

Value	Count	Frequency (%)
	9846	15.2%
1	9577	14.7%
-	9015	13.9%
2	6365	9.8%
3	5061	7.8%
8	4286	6.6%
4	4191	6.4%
0	3762	5.8%
5	3273	5.0%
7	3256	5.0%
Other values (2)	6352	9.8%

연결이미지
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	770
Distinct (%)	7.8%
Missing	154
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	24893.541

Minimum	4061
Maximum	58037
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	4061
5-th percentile	10056
Q1	17054
median	22046
Q3	32023.75
95-th percentile	45054
Maximum	58037
Range	53976
Interquartile range (IQR)	14969.75

Descriptive statistics

Standard deviation	11439.557
Coefficient of variation (CV)	0.45953917
Kurtosis	-0.6585328
Mean	24893.541
Median Absolute Deviation (MAD)	5993
Skewness	0.61916485
Sum	2.4510181 × 10⁸
Variance	1.3086347 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41046	72	0.7%
43046	72	0.7%
44045	68	0.7%
40046	66	0.7%
42046	65	0.7%
16053	62	0.6%
40047	61	0.6%
43047	60	0.6%
43045	59	0.6%
20053	55	0.5%
Other values (760)	9206	92.1%
(Missing)	154	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4061	3	< 0.1%
4062	8	0.1%
5061	13	0.1%
5062	16	0.2%
5063	2	< 0.1%
6059	3	< 0.1%
6060	8	0.1%
6061	10	0.1%
6062	15	0.1%
6063	15	0.1%

Value	Count	Frequency (%)
58037	3	< 0.1%
58036	3	< 0.1%
53049	2	< 0.1%
53046	1	< 0.1%
53042	1	< 0.1%
52050	1	< 0.1%
52049	3	< 0.1%
52047	1	< 0.1%
52042	1	< 0.1%
52041	1	< 0.1%

리
Unsupported

MISSING REJECTED UNSUPPORTED

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

신우편번호
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	154
Distinct (%)	1.6%
Missing	280
Missing (%)	2.8%
Infinite	0
Infinite (%)	0.0%
Mean	46580.604

Minimum	46500
Maximum	46653
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	46500
5-th percentile	46506
Q1	46554
median	46579
Q3	46614
95-th percentile	46646.05
Maximum	46653
Range	153
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	40.129383
Coefficient of variation (CV)	0.00086150413
Kurtosis	-0.85514101
Mean	46580.604
Median Absolute Deviation (MAD)	30
Skewness	-0.064482346
Sum	4.5276347 × 10⁸
Variance	1610.3674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46557	848	8.5%
46585	246	2.5%
46609	166	1.7%
46615	153	1.5%
46552	147	1.5%
46574	146	1.5%
46578	146	1.5%
46595	137	1.4%
46596	134	1.3%
46546	132	1.3%
Other values (144)	7465	74.7%
(Missing)	280	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
46500	14	0.1%
46501	103	1.0%
46502	69	0.7%
46503	66	0.7%
46504	57	0.6%
46505	67	0.7%
46506	122	1.2%
46507	18	0.2%
46508	25	0.2%
46509	12	0.1%

Value	Count	Frequency (%)
46653	85	0.9%
46652	59	0.6%
46651	3	< 0.1%
46650	39	0.4%
46649	124	1.2%
46648	81	0.8%
46647	95	0.9%
46646	24	0.2%
46645	39	0.4%
46644	46	0.5%

Heatmap
Table

	순번	우편번호2	읍면동	건물번호	건물번호2	산(확인)	도로위계	연결이미지	신우편번호
순번	1.000	0.142	0.987	0.402	0.097	0.065	0.386	0.880	0.895
우편번호2	0.142	1.000	0.167	0.284	0.052	0.000	0.086	0.144	0.152
읍면동	0.987	0.167	1.000	0.326	0.122	0.029	0.352	0.912	0.956
건물번호	0.402	0.284	0.326	1.000	0.000	0.000	0.574	0.324	0.361
건물번호2	0.097	0.052	0.122	0.000	1.000	0.268	0.653	0.248	0.131
산(확인)	0.065	0.000	0.029	0.000	0.268	1.000	0.039	0.403	0.072
도로위계	0.386	0.086	0.352	0.574	0.653	0.039	1.000	0.316	0.409
연결이미지	0.880	0.144	0.912	0.324	0.248	0.403	0.316	1.000	0.825
신우편번호	0.895	0.152	0.956	0.361	0.131	0.072	0.409	0.825	1.000

Heatmap
Table

	도로위계	읍면동	우편번호1	산(확인)
도로위계	1.000	0.137	1.000	0.048
읍면동	0.137	1.000	1.000	0.036
우편번호1	1.000	1.000	1.000	1.000
산(확인)	0.048	0.036	1.000	1.000

Heatmap
Table

	순번	우편번호2	건물번호	건물번호2	연결이미지	신우편번호	우편번호1	읍면동	산(확인)	도로위계
순번	1.000	0.802	-0.030	-0.036	0.802	-0.449	1.000	0.836	0.049	0.170
우편번호2	0.802	1.000	-0.022	-0.016	0.674	-0.346	1.000	0.137	0.000	0.070
건물번호	-0.030	-0.022	1.000	-0.021	-0.017	-0.097	1.000	0.195	0.000	0.378
건물번호2	-0.036	-0.016	-0.021	1.000	-0.020	0.014	1.000	0.051	0.205	0.328
연결이미지	0.802	0.674	-0.017	-0.020	1.000	-0.243	1.000	0.610	0.309	0.137
신우편번호	-0.449	-0.346	-0.097	0.014	-0.243	1.000	1.000	0.710	0.055	0.183
우편번호1	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
읍면동	0.836	0.137	0.195	0.051	0.610	0.710	1.000	1.000	0.036	0.137
산(확인)	0.049	0.000	0.000	0.205	0.309	0.055	1.000	0.036	1.000	0.048
도로위계	0.170	0.070	0.378	0.328	0.137	0.183	1.000	0.137	0.048	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

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

First rows
Last rows

	순번	우편번호1	우편번호2	시도	시군구	읍면동	번지	도로명	건물번호	건물번호2	건물명	산(확인)	도로위계	지번	연결이미지	리	신우편번호
17518	17197	616	845	부산광역시	북구	화명동	803	화명대로64번길	40	7	<NA>	N	4	화명동 803	27033	<NA>	46533
7141	5782	616	809	부산광역시	북구	구포동	1251-6	시랑로138번길	20	1	<NA>	N	4	구포동 1251-6	22063	<NA>	46644
11587	12369	616	831	부산광역시	북구	만덕동	888-3	덕천로380번길	43	0	<NA>	N	4	만덕동 888-3	49052	<NA>	46609
12753	12195	616	831	부산광역시	북구	만덕동	883-7	덕천로352번길	5	0	<NA>	N	4	만덕동 883-7	47052	<NA>	46609
5538	5895	616	808	부산광역시	북구	구포동	1240-4	시랑로163번길	28	7	<NA>	N	4	구포동 1240-4	25061	<NA>	46625
13324	11675	616	824	부산광역시	북구	만덕동	24898	구만덕로80번길	39	0	<NA>	N	4	만덕동 68-3	50048	<NA>	46608
10707	10051	616	816	부산광역시	북구	덕천동	303-10	만덕대로65번길	102	0	<NA>	N	4	덕천동 303-10	22046	<NA>	46549
7836	9875	616	817	부산광역시	북구	덕천동	316-5	만덕대로27번길	126	0	부광주택	N	4	덕천동 316-5	20047	<NA>	46546
15443	16683	616	834	부산광역시	북구	화명동	373-6	산성로48번길	9	9	<NA>	N	4	화명동 373-6	28027	<NA>	46529
11749	14606	616	830	부산광역시	북구	만덕동	817-58	상학로15번길	48	0	<NA>	N	4	만덕동 817-58	41046	<NA>	46557

	순번	우편번호1	우편번호2	시도	시군구	읍면동	번지	도로명	건물번호	건물번호2	건물명	산(확인)	도로위계	지번	연결이미지	리	신우편번호
13554	12507	616	831	부산광역시	북구	만덕동	887-16	덕천로386번길	84	0	<NA>	N	4	만덕동 887-16	48053	<NA>	46609
7993	10684	616	822	부산광역시	북구	덕천동	428-10	의성로121번길	34	0	<NA>	N	4	덕천동 428-10	24051	<NA>	46574
15729	16239	616	834	부산광역시	북구	화명동	1429-2	금곡대로324번길	45	0	우신아파트	N	4	화명동 1429-2	27029	<NA>	46531
13680	12027	616	827	부산광역시	북구	만덕동	840-37	덕천로298번길	10	0	<NA>	N	4	만덕동 840-37	42052	<NA>	46612
16213	16030	616	846	부산광역시	북구	화명동	899-2	금곡대로200번길	46	0	<NA>	N	4	화명동 899-2	24037	<NA>	46538
15832	16773	616	833	부산광역시	북구	화명동	188-4	양달로	3	0	<NA>	N	2	화명동 188-4	24026	<NA>	46518
13305	11656	616	827	부산광역시	북구	만덕동	447-8	구만덕로60번길	50	0	<NA>	N	4	만덕동 447-8	48047	<NA>	46607
13053	14010	616	831	부산광역시	북구	만덕동	868-8	상리로36번가길	9	0	<NA>	N	4	만덕동 868-8	44053	<NA>	46614
8411	8834	616	816	부산광역시	북구	덕천동	253-8	덕천로	66	7	<NA>	N	2	덕천동 253-8	23052	<NA>	46594
11030	10495	616	821	부산광역시	북구	덕천동	412-11	의성로115번길	15	6	<NA>	N	4	덕천동 412-11	23050	<NA>	46567

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

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

Uppercase Letter

Decimal Number

Lowercase Letter

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block