gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	200
Missing cells	5
Missing cells (%)	0.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	22.8 KiB
Average record size in memory	116.7 B

Variable types

Text	5
Numeric	5
Categorical	4

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMCULTURE0000000004

Alerts

`CULTURE2_NM` is highly overall correlated with `CULTURE1_CD` and 2 other fields	High correlation
`CULTURE1_NM` is highly overall correlated with `CULTURE1_CD` and 2 other fields	High correlation
`CULTURE1_CD` is highly overall correlated with `CULTURE1_NM` and 2 other fields	High correlation
`CULTURE2_CD` is highly overall correlated with `CULTURE1_CD` and 2 other fields	High correlation
`X_AXIS` is highly overall correlated with `Y_AXIS`	High correlation
`Y_AXIS` is highly overall correlated with `X_AXIS`	High correlation
`HOUS_ID` is highly overall correlated with `BLD_CD`	High correlation
`BLD_CD` is highly overall correlated with `HOUS_ID`	High correlation
`ROAD_ADDR` has 3 (1.5%) missing values	Missing
`CULTURE_CD` has unique values	Unique
`CULTURE_NM` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:28:36.666630
Analysis finished	2023-12-10 06:28:55.261108
Duration	18.59 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

CULTURE_CD
Text

UNIQUE

Distinct	200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1200
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	200 ?
Unique (%)	100.0%

Sample

1st row	C00205
2nd row	C00206
3rd row	C00213
4th row	C00226
5th row	C00346

Value	Count	Frequency (%)
c00205	1	0.5%
c04789	1	0.5%
c00416	1	0.5%
c04319	1	0.5%
c04402	1	0.5%
c04418	1	0.5%
c04426	1	0.5%
c04510	1	0.5%
c04542	1	0.5%
c04552	1	0.5%
Other values (190)	190	95.0%

Most occurring characters

Value	Count	Frequency (%)
0	320	26.7%
C	200	16.7%
1	127	10.6%
2	117	9.8%
3	79	6.6%
4	70	5.8%
8	66	5.5%
9	59	4.9%
5	58	4.8%
7	57	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	83.3%
Uppercase Letter	200	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	320	32.0%
1	127	12.7%
2	117	11.7%
3	79	7.9%
4	70	7.0%
8	66	6.6%
9	59	5.9%
5	58	5.8%
7	57	5.7%
6	47	4.7%

Uppercase Letter

Value	Count	Frequency (%)
C	200	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	83.3%
Latin	200	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	320	32.0%
1	127	12.7%
2	117	11.7%
3	79	7.9%
4	70	7.0%
8	66	6.6%
9	59	5.9%
5	58	5.8%
7	57	5.7%
6	47	4.7%

Latin

Value	Count	Frequency (%)
C	200	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	320	26.7%
C	200	16.7%
1	127	10.6%
2	117	9.8%
3	79	6.6%
4	70	5.8%
8	66	5.5%
9	59	4.9%
5	58	4.8%
7	57	4.8%

CULTURE_NM
Text

UNIQUE

Distinct	200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	20
Median length	15
Mean length	7.075
Min length	2

Characters and Unicode

Total characters	1415
Distinct characters	329
Distinct categories	6 ?
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	200 ?
Unique (%)	100.0%

Sample

1st row	길상사
2nd row	김달진미술자료박물관
3rd row	까치공방
4th row	낙원악기상가
5th row	동림매듭박물관

Value	Count	Frequency (%)
부산	4	1.3%
갤러리	4	1.3%
	3	1.0%
서울	2	0.7%
대구	2	0.7%
고양	2	0.7%
브이알존	2	0.7%
인천	2	0.7%
광주	2	0.7%
골목	2	0.7%
Other values (273)	273	91.6%

Most occurring characters

Value	Count	Frequency (%)
	98	6.9%
관	42	3.0%
대	34	2.4%
원	31	2.2%
사	25	1.8%
시	25	1.8%
리	23	1.6%
서	21	1.5%
장	19	1.3%
아	18	1.3%
Other values (319)	1079	76.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1290	91.2%
Space Separator	98	6.9%
Uppercase Letter	14	1.0%
Decimal Number	7	0.5%
Other Punctuation	5	0.4%
Lowercase Letter	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
관	42	3.3%
대	34	2.6%
원	31	2.4%
사	25	1.9%
시	25	1.9%
리	23	1.8%
서	21	1.6%
장	19	1.5%
아	18	1.4%
동	18	1.4%
Other values (302)	1034	80.2%

Uppercase Letter

Value	Count	Frequency (%)
T	3	21.4%
M	2	14.3%
G	2	14.3%
I	2	14.3%
K	2	14.3%
S	1	7.1%
B	1	7.1%
C	1	7.1%

Decimal Number

Value	Count	Frequency (%)
5	2	28.6%
3	2	28.6%
4	2	28.6%
1	1	14.3%

Other Punctuation

Value	Count	Frequency (%)
/	3	60.0%
·	1	20.0%
&	1	20.0%

Space Separator

Value	Count	Frequency (%)
	98	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1290	91.2%
Common	110	7.8%
Latin	15	1.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
관	42	3.3%
대	34	2.6%
원	31	2.4%
사	25	1.9%
시	25	1.9%
리	23	1.8%
서	21	1.6%
장	19	1.5%
아	18	1.4%
동	18	1.4%
Other values (302)	1034	80.2%

Latin

Value	Count	Frequency (%)
T	3	20.0%
M	2	13.3%
G	2	13.3%
I	2	13.3%
K	2	13.3%
a	1	6.7%
S	1	6.7%
B	1	6.7%
C	1	6.7%

Common

Value	Count	Frequency (%)
	98	89.1%
/	3	2.7%
5	2	1.8%
3	2	1.8%
4	2	1.8%
·	1	0.9%
1	1	0.9%
&	1	0.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1290	91.2%
ASCII	124	8.8%
None	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	98	79.0%
T	3	2.4%
/	3	2.4%
M	2	1.6%
5	2	1.6%
3	2	1.6%
G	2	1.6%
I	2	1.6%
4	2	1.6%
K	2	1.6%
Other values (6)	6	4.8%

Hangul

Value	Count	Frequency (%)
관	42	3.3%
대	34	2.6%
원	31	2.4%
사	25	1.9%
시	25	1.9%
리	23	1.8%
서	21	1.6%
장	19	1.5%
아	18	1.4%
동	18	1.4%
Other values (302)	1034	80.2%

None

Value	Count	Frequency (%)
·	1	100.0%

ROAD_ADDR
Text

MISSING

Distinct	188
Distinct (%)	95.4%
Missing	3
Missing (%)	1.5%
Memory size	1.7 KiB

Length

Max length	28
Median length	26
Mean length	18.563452
Min length	14

Characters and Unicode

Total characters	3657
Distinct characters	214
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	183 ?
Unique (%)	92.9%

Sample

1st row	서울특별시 성북구 선잠로5길 68
2nd row	서울특별시 종로구 홍지문1길 4
3rd row	서울특별시 강남구 영동대로 513
4th row	서울특별시 종로구 삼일대로 428
5th row	서울특별시 종로구 북촌로12길 10

Value	Count	Frequency (%)
서울특별시	85	10.3%
경기도	37	4.5%
종로구	26	3.2%
부산광역시	20	2.4%
중구	19	2.3%
대구광역시	17	2.1%
인천광역시	17	2.1%
동구	14	1.7%
대전광역시	9	1.1%
광진구	8	1.0%
Other values (416)	570	69.3%

Most occurring characters

Value	Count	Frequency (%)
	625	17.1%
시	196	5.4%
구	188	5.1%
로	184	5.0%
1	142	3.9%
2	113	3.1%
서	106	2.9%
울	92	2.5%
광	91	2.5%
길	88	2.4%
Other values (204)	1832	50.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2355	64.4%
Decimal Number	647	17.7%
Space Separator	625	17.1%
Dash Punctuation	30	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	196	8.3%
구	188	8.0%
로	184	7.8%
서	106	4.5%
울	92	3.9%
광	91	3.9%
길	88	3.7%
특	86	3.7%
별	86	3.7%
대	74	3.1%
Other values (192)	1164	49.4%

Decimal Number

Value	Count	Frequency (%)
1	142	21.9%
2	113	17.5%
4	59	9.1%
5	57	8.8%
3	56	8.7%
0	47	7.3%
9	47	7.3%
8	42	6.5%
6	42	6.5%
7	42	6.5%

Space Separator

Value	Count	Frequency (%)
	625	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2355	64.4%
Common	1302	35.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	196	8.3%
구	188	8.0%
로	184	7.8%
서	106	4.5%
울	92	3.9%
광	91	3.9%
길	88	3.7%
특	86	3.7%
별	86	3.7%
대	74	3.1%
Other values (192)	1164	49.4%

Common

Value	Count	Frequency (%)
	625	48.0%
1	142	10.9%
2	113	8.7%
4	59	4.5%
5	57	4.4%
3	56	4.3%
0	47	3.6%
9	47	3.6%
8	42	3.2%
6	42	3.2%
Other values (2)	72	5.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2355	64.4%
ASCII	1302	35.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	625	48.0%
1	142	10.9%
2	113	8.7%
4	59	4.5%
5	57	4.4%
3	56	4.3%
0	47	3.6%
9	47	3.6%
8	42	3.2%
6	42	3.2%
Other values (2)	72	5.5%

Hangul

Value	Count	Frequency (%)
시	196	8.3%
구	188	8.0%
로	184	7.8%
서	106	4.5%
울	92	3.9%
광	91	3.9%
길	88	3.7%
특	86	3.7%
별	86	3.7%
대	74	3.1%
Other values (192)	1164	49.4%

X_AXIS
Real number (ℝ)

HIGH CORRELATION

Distinct	191
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	348978.57

Minimum	235053
Maximum	522335
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	235053
5-th percentile	279818.1
Q1	309370
median	314991.5
Q3	353330.25
95-th percentile	500530
Maximum	522335
Range	287282
Interquartile range (IQR)	43960.25

Descriptive statistics

Standard deviation	73134.436
Coefficient of variation (CV)	0.20956713
Kurtosis	-0.026793379
Mean	348978.57
Median Absolute Deviation (MAD)	13815.5
Skewness	1.2019187
Sum	69795713
Variance	5.3486457 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
318797	5	2.5%
503230	3	1.5%
309474	2	1.0%
317019	2	1.0%
310732	2	1.0%
304571	1	0.5%
363527	1	0.5%
363008	1	0.5%
311031	1	0.5%
364033	1	0.5%
Other values (181)	181	90.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
235053	1	0.5%
240713	1	0.5%
263003	1	0.5%
263255	1	0.5%
264028	1	0.5%
265999	1	0.5%
268544	1	0.5%
278550	1	0.5%
278910	1	0.5%
279516	1	0.5%

Value	Count	Frequency (%)
522335	1	0.5%
520632	1	0.5%
520277	1	0.5%
506666	1	0.5%
506087	1	0.5%
504649	1	0.5%
503230	3	1.5%
502943	1	0.5%
500403	1	0.5%
499373	1	0.5%

Y_AXIS
Real number (ℝ)

HIGH CORRELATION

Distinct	191
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	485211.63

Minimum	272395
Maximum	607800
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	272395
5-th percentile	283767.3
Q1	416083.75
median	543713
Q3	552236
95-th percentile	564701.25
Maximum	607800
Range	335405
Interquartile range (IQR)	136152.25

Descriptive statistics

Standard deviation	101730.08
Coefficient of variation (CV)	0.20966125
Kurtosis	-0.50989196
Mean	485211.63
Median Absolute Deviation (MAD)	11835
Skewness	-1.065664
Sum	97042326
Variance	1.0349009 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
550373	5	2.5%
286250	3	1.5%
553859	2	1.0%
545931	2	1.0%
552663	2	1.0%
533420	1	0.5%
558523	1	0.5%
518010	1	0.5%
537616	1	0.5%
542620	1	0.5%
Other values (181)	181	90.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
272395	1	0.5%
273977	1	0.5%
277518	1	0.5%
278257	1	0.5%
278818	1	0.5%
278822	1	0.5%
282263	1	0.5%
282469	1	0.5%
282645	1	0.5%
283678	1	0.5%

Value	Count	Frequency (%)
607800	1	0.5%
605468	1	0.5%
602210	1	0.5%
597908	1	0.5%
581270	1	0.5%
576324	1	0.5%
573652	1	0.5%
571946	1	0.5%
566847	1	0.5%
564706	1	0.5%

BLK_CD
Real number (ℝ)

Distinct	185
Distinct (%)	92.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	243144.45

Minimum	5049
Maximum	516380
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	5049
5-th percentile	21690.95
Q1	154258.25
median	230924.5
Q3	330668
95-th percentile	481177.05
Maximum	516380
Range	511331
Interquartile range (IQR)	176409.75

Descriptive statistics

Standard deviation	133802.63
Coefficient of variation (CV)	0.55030099
Kurtosis	-0.60992749
Mean	243144.45
Median Absolute Deviation (MAD)	93033.5
Skewness	0.20806452
Sum	48628890
Variance	1.7903144 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
211664	5	2.5%
270459	3	1.5%
516276	3	1.5%
211966	2	1.0%
119501	2	1.0%
282115	2	1.0%
247480	2	1.0%
246422	2	1.0%
156401	2	1.0%
112496	2	1.0%
Other values (175)	175	87.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5049	1	0.5%
5221	1	0.5%
6113	1	0.5%
6857	1	0.5%
12753	1	0.5%
16637	1	0.5%
19434	1	0.5%
19829	1	0.5%
19840	1	0.5%
21025	1	0.5%

Value	Count	Frequency (%)
516380	1	0.5%
516276	3	1.5%
509434	1	0.5%
509187	1	0.5%
509120	1	0.5%
490463	1	0.5%
490310	1	0.5%
486061	1	0.5%
480920	1	0.5%
470458	1	0.5%

CULTURE1_CD
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

A0206	64
A0401	40
A0201	37
A0202	17
A0204	14
Other values (3)	28

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A0201
2nd row	A0206
3rd row	A0401
4th row	A0204
5th row	A0206

Common Values

Value	Count	Frequency (%)
A0206	64	32.0%
A0401	40	20.0%
A0201	37	18.5%
A0202	17	8.5%
A0204	14	7.0%
A0203	12	6.0%
A0101	11	5.5%
A0205	5	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
a0206	64	32.0%
a0401	40	20.0%
a0201	37	18.5%
a0202	17	8.5%
a0204	14	7.0%
a0203	12	6.0%
a0101	11	5.5%
a0205	5	2.5%

CULTURE1_NM
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

문화예술	64
쇼핑	40
역사관광지	37
휴양관광지	17
산업관광지	14
Other values (3)	28

Length

Max length	7
Median length	6
Mean length	4.215
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	역사관광지
2nd row	문화예술
3rd row	쇼핑
4th row	산업관광지
5th row	문화예술

Common Values

Value	Count	Frequency (%)
문화예술	64	32.0%
쇼핑	40	20.0%
역사관광지	37	18.5%
휴양관광지	17	8.5%
산업관광지	14	7.0%
체험관광지	12	6.0%
자연생태관광지	11	5.5%
건축/조형물	5	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
문화예술	64	32.0%
쇼핑	40	20.0%
역사관광지	37	18.5%
휴양관광지	17	8.5%
산업관광지	14	7.0%
체험관광지	12	6.0%
자연생태관광지	11	5.5%
건축/조형물	5	2.5%

CULTURE2_CD
Categorical

HIGH CORRELATION

Distinct	43
Distinct (%)	21.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

A04010600	21
A02010700	21
A02060100	16
A02060600	16
A02040800	12
Other values (38)	114

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Unique

Unique	12 ?
Unique (%)	6.0%

Sample

1st row	A02010800
2nd row	A02060100
3rd row	A04010700
4th row	A02040800
5th row	A02060100

Common Values

Value	Count	Frequency (%)
A04010600	21	10.5%
A02010700	21	10.5%
A02060100	16	8.0%
A02060600	16	8.0%
A02040800	12	6.0%
A02060500	11	5.5%
A04010200	10	5.0%
A02010800	8	4.0%
A02020700	8	4.0%
A02060900	8	4.0%
Other values (33)	69	34.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a04010600	21	10.5%
a02010700	21	10.5%
a02060100	16	8.0%
a02060600	16	8.0%
a02040800	12	6.0%
a02060500	11	5.5%
a04010200	10	5.0%
a02010800	8	4.0%
a02020700	8	4.0%
a02060900	8	4.0%
Other values (33)	69	34.5%

CULTURE2_NM
Categorical

HIGH CORRELATION

Distinct	43
Distinct (%)	21.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

전문상가	21
유적지/사적지	21
박물관	16
공연장	16
기타	12
Other values (38)	114

Length

Max length	11
Median length	8
Mean length	3.77
Min length	1

Unique

Unique	12 ?
Unique (%)	6.0%

Sample

1st row	사찰
2nd row	박물관
3rd row	공예공방
4th row	기타
5th row	박물관

Common Values

Value	Count	Frequency (%)
전문상가	21	10.5%
유적지/사적지	21	10.5%
박물관	16	8.0%
공연장	16	8.0%
기타	12	6.0%
미술관	11	5.5%
상설시장	10	5.0%
사찰	8	4.0%
공원	8	4.0%
도서관	8	4.0%
Other values (33)	69	34.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
전문상가	21	10.5%
유적지/사적지	21	10.5%
박물관	16	8.0%
공연장	16	8.0%
기타	12	6.0%
미술관	11	5.5%
상설시장	10	5.0%
사찰	8	4.0%
공원	8	4.0%
도서관	8	4.0%
Other values (33)	69	34.5%

ADDRESS
Text

Distinct	191
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	28
Median length	26
Mean length	18.575
Min length	14

Characters and Unicode

Total characters	3715
Distinct characters	214
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	186 ?
Unique (%)	93.0%

Sample

1st row	서울특별시 성북구 선잠로5길 68
2nd row	서울특별시 종로구 홍지문1길 4
3rd row	서울특별시 강남구 영동대로 513
4th row	서울특별시 종로구 삼일대로 428
5th row	서울특별시 종로구 북촌로12길 10

Value	Count	Frequency (%)
서울특별시	85	10.2%
경기도	37	4.4%
종로구	26	3.1%
부산광역시	20	2.4%
중구	19	2.3%
대구광역시	19	2.3%
인천광역시	17	2.0%
동구	14	1.7%
대전광역시	9	1.1%
광진구	8	1.0%
Other values (425)	583	69.7%

Most occurring characters

Value	Count	Frequency (%)
	637	17.1%
시	198	5.3%
구	191	5.1%
로	184	5.0%
1	147	4.0%
2	112	3.0%
서	106	2.9%
광	93	2.5%
울	92	2.5%
길	89	2.4%
Other values (204)	1866	50.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2393	64.4%
Decimal Number	654	17.6%
Space Separator	637	17.1%
Dash Punctuation	31	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	198	8.3%
구	191	8.0%
로	184	7.7%
서	106	4.4%
광	93	3.9%
울	92	3.8%
길	89	3.7%
특	86	3.6%
별	86	3.6%
대	77	3.2%
Other values (192)	1191	49.8%

Decimal Number

Value	Count	Frequency (%)
1	147	22.5%
2	112	17.1%
3	59	9.0%
4	58	8.9%
5	56	8.6%
0	48	7.3%
9	47	7.2%
6	44	6.7%
7	42	6.4%
8	41	6.3%

Space Separator

Value	Count	Frequency (%)
	637	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	31	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2393	64.4%
Common	1322	35.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	198	8.3%
구	191	8.0%
로	184	7.7%
서	106	4.4%
광	93	3.9%
울	92	3.8%
길	89	3.7%
특	86	3.6%
별	86	3.6%
대	77	3.2%
Other values (192)	1191	49.8%

Common

Value	Count	Frequency (%)
	637	48.2%
1	147	11.1%
2	112	8.5%
3	59	4.5%
4	58	4.4%
5	56	4.2%
0	48	3.6%
9	47	3.6%
6	44	3.3%
7	42	3.2%
Other values (2)	72	5.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2393	64.4%
ASCII	1322	35.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	637	48.2%
1	147	11.1%
2	112	8.5%
3	59	4.5%
4	58	4.4%
5	56	4.2%
0	48	3.6%
9	47	3.6%
6	44	3.3%
7	42	3.2%
Other values (2)	72	5.4%

Hangul

Value	Count	Frequency (%)
시	198	8.3%
구	191	8.0%
로	184	7.7%
서	106	4.4%
광	93	3.9%
울	92	3.8%
길	89	3.7%
특	86	3.6%
별	86	3.6%
대	77	3.2%
Other values (192)	1191	49.8%

HOUS_ID
Real number (ℝ)

HIGH CORRELATION

Distinct	189
Distinct (%)	94.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3494215 × 10¹⁸

Minimum	1.1110104 × 10¹⁸
Maximum	4.2150135 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110104 × 10¹⁸
5-th percentile	1.1110134 × 10¹⁸
Q1	1.1290101 × 10¹⁸
median	2.6365105 × 10¹⁸
Q3	3.012513 × 10¹⁸
95-th percentile	4.1593408 × 10¹⁸
Maximum	4.2150135 × 10¹⁸
Range	3.1040031 × 10¹⁸
Interquartile range (IQR)	1.8835028 × 10¹⁸

Descriptive statistics

Standard deviation	1.1578392 × 10¹⁸
Coefficient of variation (CV)	0.49281886
Kurtosis	-1.3470785
Mean	2.3494215 × 10¹⁸
Median Absolute Deviation (MAD)	1.4751016 × 10¹⁸
Skewness	0.25401119
Sum	8.7156926 × 10¹⁸
Variance	1.3405917 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1121510200000180000	5	2.5%
2635010500014960000	3	1.5%
1168010500001590000	3	1.5%
1111010400001500000	2	1.0%
1111013600000430000	2	1.0%
3017012800003960000	2	1.0%
4155035028100570002	1	0.5%
4117110100006760045	1	0.5%
4183036028003350000	1	0.5%
4167034030000850010	1	0.5%
Other values (179)	179	89.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111010400001500000	2	1.0%
1111010600000350009	1	0.5%
1111011300001300020	1	0.5%
1111011900000010001	1	0.5%
1111012800000300001	1	0.5%
1111012800001890000	1	0.5%
1111012800001960003	1	0.5%
1111012800001970004	1	0.5%
1111013000000020071	1	0.5%
1111013400000880000	1	0.5%

Value	Count	Frequency (%)
4215013500002560000	1	0.5%
4183040024007080001	1	0.5%
4183036028003350000	1	0.5%
4183034022005640007	1	0.5%
4182031031004250000	1	0.5%
4167034030000850010	1	0.5%
4165039023007280000	1	0.5%
4165038022000380000	1	0.5%
4165036024000360002	1	0.5%
4165036022006940001	1	0.5%

BLD_CD
Real number (ℝ)

HIGH CORRELATION

Distinct	185
Distinct (%)	93.4%
Missing	2
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3492751 × 10²⁴

Minimum	1.1110104 × 10²⁴
Maximum	4.473031 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110104 × 10²⁴
5-th percentile	1.1110133 × 10²⁴
Q1	1.1290101 × 10²⁴
median	2.6350107 × 10²⁴
Q3	3.0155129 × 10²⁴
95-th percentile	4.165036 × 10²⁴
Maximum	4.473031 × 10²⁴
Range	3.3620206 × 10²⁴
Interquartile range (IQR)	1.8865028 × 10²⁴

Descriptive statistics

Standard deviation	1.169205 × 10²⁴
Coefficient of variation (CV)	0.49768755
Kurtosis	-1.3453543
Mean	2.3492751 × 10²⁴
Median Absolute Deviation (MAD)	1.4766996 × 10²⁴
Skewness	0.27346043
Sum	4.6515647 × 10²⁶
Variance	1.3670403 × 10⁴⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.12151020010018e+24	5	2.5%
1.16801050010159e+24	3	1.5%
2.63501050011496e+24	3	1.5%
1.11101680010001e+24	2	1.0%
1.11101040010152e+24	2	1.0%
1.11101360010043e+24	2	1.0%
1.11101360010194e+24	2	1.0%
3.01701280010396e+24	2	1.0%
4.11501040010793e+24	1	0.5%
4.11711010010676e+24	1	0.5%
Other values (175)	175	87.5%
(Missing)	2	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.11101040010152e+24	2	1.0%
1.11101060010035e+24	1	0.5%
1.11101150010001e+24	1	0.5%
1.11101190010001e+24	1	0.5%
1.1110128001003e+24	1	0.5%
1.11101280010189e+24	1	0.5%
1.11101280010196e+24	1	0.5%
1.11101280010197e+24	1	0.5%
1.11101300010002e+24	1	0.5%
1.11101340010088e+24	1	0.5%

Value	Count	Frequency (%)
4.4730310251021297e+24	1	0.5%
4.21501350010256e+24	1	0.5%
4.18304002410708e+24	1	0.5%
4.1830360281033505e+24	1	0.5%
4.18303402210564e+24	1	0.5%
4.1820310311042495e+24	1	0.5%
4.17303503010086e+24	1	0.5%
4.16503902310728e+24	1	0.5%
4.16503802210036e+24	1	0.5%
4.16503602410036e+24	1	0.5%

HOUS_ADDR
Text

Distinct	189
Distinct (%)	94.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	26
Median length	24
Mean length	20.38
Min length	16

Characters and Unicode

Total characters	4076
Distinct characters	171
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	183 ?
Unique (%)	91.5%

Sample

1st row	서울특별시 성북구 성북동 321-3번지
2nd row	서울특별시 종로구 홍지동 44번지
3rd row	서울특별시 강남구 삼성동 159번지
4th row	서울특별시 종로구 낙원동 288번지
5th row	서울특별시 종로구 가회동 11-7번지

Value	Count	Frequency (%)
서울특별시	85	10.2%
경기도	37	4.4%
종로구	26	3.1%
부산광역시	20	2.4%
중구	19	2.3%
대구광역시	19	2.3%
인천광역시	18	2.2%
동구	14	1.7%
대전광역시	9	1.1%
광진구	8	1.0%
Other values (432)	581	69.5%

Most occurring characters

Value	Count	Frequency (%)
	636	15.6%
지	204	5.0%
동	204	5.0%
번	200	4.9%
시	197	4.8%
구	189	4.6%
1	170	4.2%
-	123	3.0%
서	106	2.6%
광	94	2.3%
Other values (161)	1953	47.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2606	63.9%
Decimal Number	711	17.4%
Space Separator	636	15.6%
Dash Punctuation	123	3.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	204	7.8%
동	204	7.8%
번	200	7.7%
시	197	7.6%
구	189	7.3%
서	106	4.1%
광	94	3.6%
울	90	3.5%
별	86	3.3%
특	86	3.3%
Other values (149)	1150	44.1%

Decimal Number

Value	Count	Frequency (%)
1	170	23.9%
3	82	11.5%
2	81	11.4%
4	67	9.4%
8	58	8.2%
5	56	7.9%
7	54	7.6%
0	50	7.0%
9	48	6.8%
6	45	6.3%

Space Separator

Value	Count	Frequency (%)
	636	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	123	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2606	63.9%
Common	1470	36.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	204	7.8%
동	204	7.8%
번	200	7.7%
시	197	7.6%
구	189	7.3%
서	106	4.1%
광	94	3.6%
울	90	3.5%
별	86	3.3%
특	86	3.3%
Other values (149)	1150	44.1%

Common

Value	Count	Frequency (%)
	636	43.3%
1	170	11.6%
-	123	8.4%
3	82	5.6%
2	81	5.5%
4	67	4.6%
8	58	3.9%
5	56	3.8%
7	54	3.7%
0	50	3.4%
Other values (2)	93	6.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2606	63.9%
ASCII	1470	36.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	636	43.3%
1	170	11.6%
-	123	8.4%
3	82	5.6%
2	81	5.5%
4	67	4.6%
8	58	3.9%
5	56	3.8%
7	54	3.7%
0	50	3.4%
Other values (2)	93	6.3%

Hangul

Value	Count	Frequency (%)
지	204	7.8%
동	204	7.8%
번	200	7.7%
시	197	7.6%
구	189	7.3%
서	106	4.1%
광	94	3.6%
울	90	3.5%
별	86	3.3%
특	86	3.3%
Other values (149)	1150	44.1%

Heatmap
Table

	X_AXIS	Y_AXIS	BLK_CD	CULTURE1_CD	CULTURE1_NM	CULTURE2_CD	CULTURE2_NM	HOUS_ID	BLD_CD
X_AXIS	1.000	0.797	0.524	0.502	0.502	0.803	0.803	0.797	0.774
Y_AXIS	0.797	1.000	0.502	0.303	0.303	0.685	0.685	0.903	0.853
BLK_CD	0.524	0.502	1.000	0.225	0.225	0.477	0.477	0.580	0.593
CULTURE1_CD	0.502	0.303	0.225	1.000	1.000	1.000	1.000	0.322	0.339
CULTURE1_NM	0.502	0.303	0.225	1.000	1.000	1.000	1.000	0.322	0.339
CULTURE2_CD	0.803	0.685	0.477	1.000	1.000	1.000	1.000	0.562	0.853
CULTURE2_NM	0.803	0.685	0.477	1.000	1.000	1.000	1.000	0.562	0.853
HOUS_ID	0.797	0.903	0.580	0.322	0.322	0.562	0.562	1.000	0.959
BLD_CD	0.774	0.853	0.593	0.339	0.339	0.853	0.853	0.959	1.000

Heatmap
Table

	CULTURE2_NM	CULTURE1_NM	CULTURE1_CD	CULTURE2_CD
CULTURE2_NM	1.000	0.904	0.904	1.000
CULTURE1_NM	0.904	1.000	1.000	0.904
CULTURE1_CD	0.904	1.000	1.000	0.904
CULTURE2_CD	1.000	0.904	0.904	1.000

Heatmap
Table

	X_AXIS	Y_AXIS	BLK_CD	HOUS_ID	BLD_CD	CULTURE1_CD	CULTURE1_NM	CULTURE2_CD	CULTURE2_NM
X_AXIS	1.000	-0.530	0.208	0.201	0.214	0.203	0.203	0.396	0.396
Y_AXIS	-0.530	1.000	-0.055	-0.323	-0.339	0.154	0.154	0.293	0.293
BLK_CD	0.208	-0.055	1.000	0.051	0.057	0.101	0.101	0.163	0.163
HOUS_ID	0.201	-0.323	0.051	1.000	0.999	0.181	0.181	0.250	0.250
BLD_CD	0.214	-0.339	0.057	0.999	1.000	0.000	0.000	0.265	0.265
CULTURE1_CD	0.203	0.154	0.101	0.181	0.000	1.000	1.000	0.904	0.904
CULTURE1_NM	0.203	0.154	0.101	0.181	0.000	1.000	1.000	0.904	0.904
CULTURE2_CD	0.396	0.293	0.163	0.250	0.265	0.904	0.904	1.000	1.000
CULTURE2_NM	0.396	0.293	0.163	0.250	0.265	0.904	0.904	1.000	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

	CULTURE_CD	CULTURE_NM	ROAD_ADDR	X_AXIS	Y_AXIS	BLK_CD	CULTURE1_CD	CULTURE1_NM	CULTURE2_CD	CULTURE2_NM	ADDRESS	HOUS_ID	BLD_CD	HOUS_ADDR
0	C00205	길상사	서울특별시 성북구 선잠로5길 68	311420	555677	218065	A0201	역사관광지	A02010800	사찰	서울특별시 성북구 선잠로5길 68	1129010100003210003	1129010100100000008050936	서울특별시 성북구 성북동 321-3번지
1	C00206	김달진미술자료박물관	서울특별시 종로구 홍지문1길 4	308066	555817	359198	A0206	문화예술	A02060100	박물관	서울특별시 종로구 홍지문1길 4	1111018500000440000	1111018500100440000024509	서울특별시 종로구 홍지동 44번지
2	C00213	까치공방	서울특별시 강남구 영동대로 513	317019	545931	270459	A0401	쇼핑	A04010700	공예공방	서울특별시 강남구 영동대로 513	1168010500001590000	1168010500101590009016086	서울특별시 강남구 삼성동 159번지
3	C00226	낙원악기상가	서울특별시 종로구 삼일대로 428	310792	552759	218616	A0204	산업관광지	A02040800	기타	서울특별시 종로구 삼일대로 428	1111013700002880000	1111013700102540004016150	서울특별시 종로구 낙원동 288번지
4	C00346	동림매듭박물관	서울특별시 종로구 북촌로12길 10	310598	553762	353185	A0206	문화예술	A02060100	박물관	서울특별시 종로구 북촌로12길 10	1111014600000110007	1111014600100110007019190	서울특별시 종로구 가회동 11-7번지
5	C00371	라트어린이극장	서울특별시 강남구 논현로 164	315499	542890	19434	A0206	문화예술	A02060600	공연장	서울특별시 강남구 논현로 164	1168011800005140001	1168011800105140002027037	서울특별시 강남구 도곡동 514-1번지
6	C00391	롯데월드 민속박물관	서울특별시 송파구 올림픽로 240	320465	545840	155402	A0206	문화예술	A02060100	박물관	서울특별시 송파구 올림픽로 240	1171010100000400001	1171010100100400001000435	서울특별시 송파구 잠실동 40-1번지
7	C00407	마리오아울렛	서울특별시 금천구 디지털로9길 23	301710	542423	19840	A0401	쇼핑	A04010600	전문상가	서울특별시 금천구 디지털로9길 23	1154510100000600052	1154510100100600052015794	서울특별시 금천구 가산동 60-52번지
8	C00415	마포아트센터	서울특별시 마포구 대흥로20길 28	307027	550263	224825	A0206	문화예술	A02060600	공연장	서울특별시 마포구 대흥로20길 28	1144010800000300003	1144010800100300003004866	서울특별시 마포구 대흥동 30-3번지
9	C00444	모즈	서울특별시 송파구 동남로 108	322673	543411	154067	A0401	쇼핑	A04010600	전문상가	서울특별시 송파구 동남로 108	1171010800000420002	1171010800100420003004702	서울특별시 송파구 문정동 42-2번지

	CULTURE_CD	CULTURE_NM	ROAD_ADDR	X_AXIS	Y_AXIS	BLK_CD	CULTURE1_CD	CULTURE1_NM	CULTURE2_CD	CULTURE2_NM	ADDRESS	HOUS_ID	BLD_CD	HOUS_ADDR
190	C02289	디아크문화관	대구광역시 달성군 다사읍 강정본길 57	442208	360238	464687	A0204	산업관광지	A02040800	기타	대구광역시 달성군 다사읍 강정본길 57	2771025627008060000	2771025627108060000000001	대구광역시 달성군 다사읍 죽곡리 806번지
191	C02313	북지장사	대구광역시 동구 도장길 243	464663	375384	321301	A0201	역사관광지	A02010800	사찰	대구광역시 동구 도장길 243	2714013400006200000	2714013400106200000004283	대구광역시 동구 도학동 620번지
192	C02365	영영축성비	대구광역시 수성구 팔현길 248	459636	364122	469413	A0201	역사관광지	A02010700	유적지/사적지	대구광역시 수성구 팔현길 248	2726010200100900000	2726010200200900000000001	대구광역시 수성구 만촌동 산90번지
193	C02420	청호서원	대구광역시 수성구 청호로 250-11	458101	360124	466024	A0201	역사관광지	A02010700	유적지/사적지	대구광역시 수성구 청호로 250-11	2726010700100790004	2726010700200790004017024	대구광역시 수성구 황금동 산79-4번지
194	C02431	팔거산성	<NA>	451533	369667	5221	A0201	역사관광지	A02010700	유적지/사적지	대구광역시 북구 노곡동 산1-1	2723011700100010001	<NA>	대구광역시 북구 노곡동 산1-1번지
195	C02481	광주 대인시장 / 대인예술시장	광주광역시 동구 제봉로194번길 7-1	301497	284455	103203	A0401	쇼핑	A04010200	상설시장	광주광역시 동구 제봉로194번길 7-1	2911010100003100009	2911010100103100009000001	광주광역시 동구 대인동 310-9번지
196	C02495	광주공원	광주광역시 남구 중앙로107번길 15	300888	283678	112496	A0202	휴양관광지	A02020700	공원	광주광역시 남구 중앙로107번길 15	2915510200000210001	2915510200100210001027663	광주광역시 남구 구동 21-1번지
197	C02650	광주 성거사지 오층석탑	광주광역시 남구 천변좌로338번길 7	300689	283772	112496	A0201	역사관광지	A02010700	유적지/사적지	광주광역시 남구 천변좌로338번길 7	2915510200000120000	2915510200100120000027916	광주광역시 남구 구동 12번지
198	C02511	광주시립민속박물관	광주광역시 북구 서하로 48-25	298961	287842	112808	A0206	문화예술	A02060100	박물관	광주광역시 북구 서하로 48-25	2917010700010040004	2917010700110040004024338	광주광역시 북구 용봉동 1004-4번지
199	C02542	녹색에너지체험관	광주광역시 북구 첨단과기로 123	294872	292600	516380	A0204	산업관광지	A02040800	기타	광주광역시 북구 첨단과기로 123	2917014100000010000	2917014100100010000028301	광주광역시 북구 오룡동 1번지

Overview

Variables

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

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

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

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values

Length

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

Hangul

Common

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

Space Separator

Dash Punctuation