gimi9 Pandas Profiling

Dataset statistics

Number of variables	10
Number of observations	1000
Missing cells	76
Missing cells (%)	0.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	83.1 KiB
Average record size in memory	85.1 B

Variable types

Categorical	1
Numeric	5
Text	4

Dataset

Description	Sample
Author	레드테이블
URL	https://www.bigdata-culture.kr/bigdata/user/data_market/detail.do?id=3d2188d0-692e-4240-a87e-8eccfc7077ee

Alerts

`CTY_NM` has constant value ""	Constant
`LNM_ADDR` has 31 (3.1%) missing values	Missing
`RDNMADR_NM` has 23 (2.3%) missing values	Missing
`RSTRNT_TEL_NO` has 22 (2.2%) missing values	Missing
`RSTRNT_ID` has unique values	Unique

Reproduction

Analysis started	2023-12-10 09:53:25.662962
Analysis finished	2023-12-10 09:53:33.126016
Duration	7.46 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

CTY_NM
Categorical

CONSTANT

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

首尔特别市	1000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	首尔特别市
2nd row	首尔特别市
3rd row	首尔特别市
4th row	首尔特别市
5th row	首尔特别市

Common Values

Value	Count	Frequency (%)
首尔特别市	1000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
首尔特别市	1000	100.0%

RSTRNT_ID
Real number (ℝ)

UNIQUE

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5648.17

Minimum	1088
Maximum	9743
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	1088
5-th percentile	1574.9
Q1	3256.5
median	5734
Q3	7843.5
95-th percentile	9637.2
Maximum	9743
Range	8655
Interquartile range (IQR)	4587

Descriptive statistics

Standard deviation	2713.1837
Coefficient of variation (CV)	0.48036508
Kurtosis	-1.2686303
Mean	5648.17
Median Absolute Deviation (MAD)	2132.5
Skewness	0.015609224
Sum	5648170
Variance	7361365.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1088	1	0.1%
7729	1	0.1%
7707	1	0.1%
7708	1	0.1%
7710	1	0.1%
7711	1	0.1%
7713	1	0.1%
7715	1	0.1%
7717	1	0.1%
7719	1	0.1%
Other values (990)	990	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1088	1	0.1%
1115	1	0.1%
1116	1	0.1%
1117	1	0.1%
1121	1	0.1%
1123	1	0.1%
1126	1	0.1%
1130	1	0.1%
1134	1	0.1%
1156	1	0.1%

Value	Count	Frequency (%)
9743	1	0.1%
9742	1	0.1%
9741	1	0.1%
9740	1	0.1%
9739	1	0.1%
9738	1	0.1%
9734	1	0.1%
9733	1	0.1%
9732	1	0.1%
9731	1	0.1%

RSTRNT_NM
Text

Distinct	929
Distinct (%)	92.9%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Length

Max length	45
Median length	36
Mean length	13.929
Min length	1

Characters and Unicode

Total characters	13929
Distinct characters	247
Distinct categories	9 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

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

Unique

Unique	875 ?
Unique (%)	87.5%

Sample

1st row	penand coffee
2nd row	todamtodam
3rd row	ttowachamsutdwaeji galbi
4th row	東成閣
5th row	hurendeu chicken

Value	Count	Frequency (%)
sikdang	72	4.2%
chicken	29	1.7%
coffee	23	1.3%
galbi	21	1.2%
hof	17	1.0%
kalguksu	16	0.9%
jokbal	13	0.8%
gamjatang	12	0.7%
hanmari	11	0.6%
baguette	11	0.6%
Other values (1132)	1489	86.9%

Most occurring characters

Value	Count	Frequency (%)
n	1453	10.4%
a	1416	10.2%
g	1175	8.4%
o	1132	8.1%
e	1105	7.9%
i	731	5.2%
	718	5.2%
u	702	5.0%
s	600	4.3%
k	513	3.7%
Other values (237)	4384	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12776	91.7%
Space Separator	718	5.2%
Other Letter	320	2.3%
Uppercase Letter	69	0.5%
Decimal Number	23	0.2%
Dash Punctuation	11	0.1%
Other Punctuation	10	0.1%
Close Punctuation	1	< 0.1%
Open Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
東	9	2.8%
店	8	2.5%
園	6	1.9%
新	5	1.6%
山	5	1.6%
城	5	1.6%
莊	5	1.6%
館	5	1.6%
飯	5	1.6%
明	5	1.6%
Other values (177)	262	81.9%

Lowercase Letter

Value	Count	Frequency (%)
n	1453	11.4%
a	1416	11.1%
g	1175	9.2%
o	1132	8.9%
e	1105	8.6%
i	731	5.7%
u	702	5.5%
s	600	4.7%
k	513	4.0%
j	500	3.9%
Other values (15)	3449	27.0%

Uppercase Letter

Value	Count	Frequency (%)
A	9	13.0%
R	6	8.7%
E	6	8.7%
U	5	7.2%
C	5	7.2%
I	5	7.2%
T	4	5.8%
D	4	5.8%
Y	4	5.8%
H	4	5.8%
Other values (8)	17	24.6%

Decimal Number

Value	Count	Frequency (%)
0	4	17.4%
2	4	17.4%
1	4	17.4%
9	3	13.0%
4	3	13.0%
7	2	8.7%
8	1	4.3%
6	1	4.3%
5	1	4.3%

Other Punctuation

Value	Count	Frequency (%)
&	5	50.0%
.	3	30.0%
,	1	10.0%
'	1	10.0%

Space Separator

Value	Count	Frequency (%)
	718	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12845	92.2%
Common	764	5.5%
Han	312	2.2%
Hangul	5	< 0.1%
Katakana	3	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
東	9	2.9%
店	8	2.6%
園	6	1.9%
新	5	1.6%
山	5	1.6%
城	5	1.6%
莊	5	1.6%
館	5	1.6%
飯	5	1.6%
明	5	1.6%
Other values (169)	254	81.4%

Latin

Value	Count	Frequency (%)
n	1453	11.3%
a	1416	11.0%
g	1175	9.1%
o	1132	8.8%
e	1105	8.6%
i	731	5.7%
u	702	5.5%
s	600	4.7%
k	513	4.0%
j	500	3.9%
Other values (33)	3518	27.4%

Common

Value	Count	Frequency (%)
	718	94.0%
-	11	1.4%
&	5	0.7%
0	4	0.5%
2	4	0.5%
1	4	0.5%
9	3	0.4%
.	3	0.4%
4	3	0.4%
7	2	0.3%
Other values (7)	7	0.9%

Hangul

Value	Count	Frequency (%)
사	1	20.0%
메	1	20.0%
기	1	20.0%
스	1	20.0%
트	1	20.0%

Katakana

Value	Count	Frequency (%)
ビ	1	33.3%
カ	1	33.3%
ル	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13609	97.7%
CJK	306	2.2%
CJK Compat Ideographs	6	< 0.1%
Hangul	5	< 0.1%
Katakana	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1453	10.7%
a	1416	10.4%
g	1175	8.6%
o	1132	8.3%
e	1105	8.1%
i	731	5.4%
	718	5.3%
u	702	5.2%
s	600	4.4%
k	513	3.8%
Other values (50)	4064	29.9%

CJK

Value	Count	Frequency (%)
東	9	2.9%
店	8	2.6%
園	6	2.0%
新	5	1.6%
山	5	1.6%
城	5	1.6%
莊	5	1.6%
館	5	1.6%
飯	5	1.6%
明	5	1.6%
Other values (165)	248	81.0%

CJK Compat Ideographs

Value	Count	Frequency (%)
樂	2	33.3%
龍	2	33.3%
老	1	16.7%
金	1	16.7%

Hangul

Value	Count	Frequency (%)
사	1	20.0%
메	1	20.0%
기	1	20.0%
스	1	20.0%
트	1	20.0%

Katakana

Value	Count	Frequency (%)
ビ	1	33.3%
カ	1	33.3%
ル	1	33.3%

LNM_ADDR
Text

MISSING

Distinct	911
Distinct (%)	94.0%
Missing	31
Missing (%)	3.1%
Memory size	7.9 KiB

Length

Max length	35
Median length	20
Mean length	16.101135
Min length	11

Characters and Unicode

Total characters	15602
Distinct characters	291
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	868 ?
Unique (%)	89.6%

Sample

1st row	首尔特别市钟路区宽勋洞198-10
2nd row	首尔特别市钟路区樂园洞218-1
3rd row	首尔特别市钟路区卧龙洞166
4th row	首尔特别市钟路区唐珠洞18
5th row	首尔特别市龙山区梨泰院洞225-112

Value	Count	Frequency (%)
首尔特别市永登浦区汝矣岛洞35-5	6	0.6%
首尔特别市九老区九老洞604-1	5	0.5%
首尔特别市中区小公洞87-1	4	0.4%
首尔特别市江南区三成洞166-6	4	0.4%
首尔特别市永登浦区汝矣岛洞43-3	4	0.4%
首尔特别市中区小公洞21-1	3	0.3%
首尔特别市永登浦区汝矣岛洞45-20	3	0.3%
首尔特别市恩平区鹰岩洞124-17	2	0.2%
首尔特别市瑞草区盘浦洞817	2	0.2%
首尔特别市中区茶洞125	2	0.2%
Other values (905)	938	96.4%

Most occurring characters

Value	Count	Frequency (%)
首	969	6.2%
特	969	6.2%
别	969	6.2%
市	969	6.2%
区	969	6.2%
尔	969	6.2%
洞	835	5.4%
1	801	5.1%
-	801	5.1%
2	626	4.0%
Other values (281)	6725	43.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	10880	69.7%
Decimal Number	3917	25.1%
Dash Punctuation	801	5.1%
Space Separator	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
首	969	8.9%
特	969	8.9%
别	969	8.9%
市	969	8.9%
区	969	8.9%
尔	969	8.9%
洞	835	7.7%
中	289	2.7%
路	288	2.6%
街	260	2.4%
Other values (269)	3394	31.2%

Decimal Number

Value	Count	Frequency (%)
1	801	20.4%
2	626	16.0%
3	508	13.0%
4	403	10.3%
5	343	8.8%
6	294	7.5%
0	247	6.3%
7	241	6.2%
8	231	5.9%
9	223	5.7%

Dash Punctuation

Value	Count	Frequency (%)
-	801	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Han	10872	69.7%
Common	4722	30.3%
Hangul	8	0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
首	969	8.9%
特	969	8.9%
别	969	8.9%
市	969	8.9%
区	969	8.9%
尔	969	8.9%
洞	835	7.7%
中	289	2.7%
路	288	2.6%
街	260	2.4%
Other values (261)	3386	31.1%

Common

Value	Count	Frequency (%)
1	801	17.0%
-	801	17.0%
2	626	13.3%
3	508	10.8%
4	403	8.5%
5	343	7.3%
6	294	6.2%
0	247	5.2%
7	241	5.1%
8	231	4.9%
Other values (2)	227	4.8%

Hangul

Value	Count	Frequency (%)
인	1	12.5%
현	1	12.5%
지	1	12.5%
하	1	12.5%
핑	1	12.5%
쇼	1	12.5%
센	1	12.5%
터	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
CJK	10817	69.3%
ASCII	4722	30.3%
CJK Compat Ideographs	55	0.4%
Hangul	8	0.1%

Most frequent character per block

CJK

Value	Count	Frequency (%)
首	969	9.0%
特	969	9.0%
别	969	9.0%
市	969	9.0%
区	969	9.0%
尔	969	9.0%
洞	835	7.7%
中	289	2.7%
路	288	2.7%
街	260	2.4%
Other values (246)	3331	30.8%

ASCII

Value	Count	Frequency (%)
1	801	17.0%
-	801	17.0%
2	626	13.3%
3	508	10.8%
4	403	8.5%
5	343	7.3%
6	294	6.2%
0	247	5.2%
7	241	5.1%
8	231	4.9%
Other values (2)	227	4.8%

CJK Compat Ideographs

Value	Count	Frequency (%)
樂	9	16.4%
蘆	7	12.7%
論	6	10.9%
老	5	9.1%
梨	5	9.1%
冷	3	5.5%
陵	3	5.5%
碌	3	5.5%
蓮	3	5.5%
磻	3	5.5%
Other values (5)	8	14.5%

Hangul

Value	Count	Frequency (%)
인	1	12.5%
현	1	12.5%
지	1	12.5%
하	1	12.5%
핑	1	12.5%
쇼	1	12.5%
센	1	12.5%
터	1	12.5%

RDNMADR_NM
Text

MISSING

Distinct	914
Distinct (%)	93.6%
Missing	23
Missing (%)	2.3%
Memory size	7.9 KiB

Length

Max length	22
Median length	20
Mean length	15.42477
Min length	10

Characters and Unicode

Total characters	15070
Distinct characters	325
Distinct categories	4 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

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

Unique

Unique	867 ?
Unique (%)	88.7%

Sample

1st row	首尔特别市钟路区仁寺洞5街12
2nd row	首尔特别市钟路区水标路121
3rd row	首尔特别市钟路区敦化门路11ga街48
4th row	首尔特别市钟路区新门内路9街29-2
5th row	首尔特别市龙山区槐树路13街10

Value	Count	Frequency (%)
首尔特别市永登浦区汝矣渡口路42	6	0.6%
首尔特别市九老区九老中央路198	6	0.6%
首尔特别市中区小公路106	4	0.4%
首尔特别市江南区奉恩寺路114街42	4	0.4%
首尔特别市永登浦区国际金融路78	4	0.4%
首尔特别市永登浦区国际金融路8街27-9	3	0.3%
首尔特别市中区南大门路7街16	3	0.3%
首尔特别市中区明洞2街26	2	0.2%
首尔特别市西大门区统一路143-3	2	0.2%
首尔特别市中区明洞10街29	2	0.2%
Other values (904)	941	96.3%

Most occurring characters

Value	Count	Frequency (%)
路	1042	6.9%
市	991	6.6%
首	978	6.5%
尔	978	6.5%
特	977	6.5%
别	977	6.5%
区	977	6.5%
1	761	5.0%
街	554	3.7%
2	466	3.1%
Other values (315)	6369	42.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	11560	76.7%
Decimal Number	3197	21.2%
Dash Punctuation	233	1.5%
Lowercase Letter	80	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
路	1042	9.0%
市	991	8.6%
首	978	8.5%
尔	978	8.5%
特	977	8.5%
别	977	8.5%
区	977	8.5%
街	554	4.8%
中	293	2.5%
大	263	2.3%
Other values (299)	3530	30.5%

Decimal Number

Value	Count	Frequency (%)
1	761	23.8%
2	466	14.6%
3	357	11.2%
4	344	10.8%
5	249	7.8%
7	222	6.9%
8	209	6.5%
0	208	6.5%
6	206	6.4%
9	175	5.5%

Lowercase Letter

Value	Count	Frequency (%)
a	40	50.0%
g	30	37.5%
n	5	6.2%
d	4	5.0%
m	1	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	233	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Han	11559	76.7%
Common	3430	22.8%
Latin	80	0.5%
Hangul	1	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
路	1042	9.0%
市	991	8.6%
首	978	8.5%
尔	978	8.5%
特	977	8.5%
别	977	8.5%
区	977	8.5%
街	554	4.8%
中	293	2.5%
大	263	2.3%
Other values (298)	3529	30.5%

Common

Value	Count	Frequency (%)
1	761	22.2%
2	466	13.6%
3	357	10.4%
4	344	10.0%
5	249	7.3%
-	233	6.8%
7	222	6.5%
8	209	6.1%
0	208	6.1%
6	206	6.0%

Latin

Value	Count	Frequency (%)
a	40	50.0%
g	30	37.5%
n	5	6.2%
d	4	5.0%
m	1	1.2%

Hangul

Value	Count	Frequency (%)
길	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
CJK	11546	76.6%
ASCII	3510	23.3%
CJK Compat Ideographs	13	0.1%
Hangul	1	< 0.1%

Most frequent character per block

CJK

Value	Count	Frequency (%)
路	1042	9.0%
市	991	8.6%
首	978	8.5%
尔	978	8.5%
特	977	8.5%
别	977	8.5%
区	977	8.5%
街	554	4.8%
中	293	2.5%
大	263	2.3%
Other values (296)	3516	30.5%

ASCII

Value	Count	Frequency (%)
1	761	21.7%
2	466	13.3%
3	357	10.2%
4	344	9.8%
5	249	7.1%
-	233	6.6%
7	222	6.3%
8	209	6.0%
0	208	5.9%
6	206	5.9%
Other values (6)	255	7.3%

CJK Compat Ideographs

Value	Count	Frequency (%)
蘆	7	53.8%
陵	6	46.2%

Hangul

Value	Count	Frequency (%)
길	1	100.0%

RSTRNT_TEL_NO
Real number (ℝ)

MISSING

Distinct	970
Distinct (%)	99.2%
Missing	22
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.142388 × 10⁸

Minimum	18111111
Maximum	5.0409531 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	18111111
5-th percentile	23592293
Q1	27162094
median	27814119
Q3	2.2266342 × 10⁸
95-th percentile	2.27629 × 10⁸
Maximum	5.0409531 × 10¹⁰
Range	5.039142 × 10¹⁰
Interquartile range (IQR)	1.9550133 × 10⁸

Descriptive statistics

Standard deviation	2.8649085 × 10⁹
Coefficient of variation (CV)	9.1169788
Kurtosis	286.11331
Mean	3.142388 × 10⁸
Median Absolute Deviation (MAD)	2838111.5
Skewness	16.575536
Sum	3.0732555 × 10¹¹
Variance	8.2077007 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
237898088	3	0.3%
27765348	2	0.2%
27773131	2	0.2%
222679396	2	0.2%
27523177	2	0.2%
25711110	2	0.2%
27775668	2	0.2%
27635588	1	0.1%
27201910	1	0.1%
236763933	1	0.1%
Other values (960)	960	96.0%
(Missing)	22	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18111111	1	0.1%
22738413	1	0.1%
22794658	1	0.1%
23022421	1	0.1%
23049346	1	0.1%
23055554	1	0.1%
23058555	1	0.1%
23098359	1	0.1%
23101936	1	0.1%
23109665	1	0.1%

Value	Count	Frequency (%)
50409530969	1	0.1%
50409530696	1	0.1%
50409530371	1	0.1%
7088880908	1	0.1%
7088623830	1	0.1%
7088452114	1	0.1%
7087221542	1	0.1%
7082258075	1	0.1%
7075700871	1	0.1%
7075568204	1	0.1%

SUBWAYST_NM
Text

Distinct	170
Distinct (%)	17.0%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Length

Max length	10
Median length	3
Mean length	4.125
Min length	3

Characters and Unicode

Total characters	4125
Distinct characters	239
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	48 ?
Unique (%)	4.8%

Sample

1st row	安国站
2nd row	安国站
3rd row	安国站
4th row	光化门站
5th row	梨泰院站

Value	Count	Frequency (%)
乙支路四街站	74	7.4%
会贤站	63	6.3%
光化门站	56	5.6%
明洞站	53	5.3%
永登浦站	33	3.3%
安国站	28	2.8%
乙支路三街站	27	2.7%
首尔站(京义线	25	2.5%
西大门站	25	2.5%
东大门历史文化公园站	22	2.2%
Other values (160)	594	59.4%

Most occurring characters

Value	Count	Frequency (%)
站	1000	24.2%
大	124	3.0%
门	115	2.8%
路	115	2.8%
街	107	2.6%
支	101	2.4%
乙	101	2.4%
化	86	2.1%
四	75	1.8%
洞	68	1.6%
Other values (229)	2233	54.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4075	98.8%
Close Punctuation	25	0.6%
Open Punctuation	25	0.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
站	1000	24.5%
大	124	3.0%
门	115	2.8%
路	115	2.8%
街	107	2.6%
支	101	2.5%
乙	101	2.5%
化	86	2.1%
四	75	1.8%
洞	68	1.7%
Other values (227)	2183	53.6%

Close Punctuation

Value	Count	Frequency (%)
)	25	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Han	4075	98.8%
Common	50	1.2%

Most frequent character per script

Han

Value	Count	Frequency (%)
站	1000	24.5%
大	124	3.0%
门	115	2.8%
路	115	2.8%
街	107	2.6%
支	101	2.5%
乙	101	2.5%
化	86	2.1%
四	75	1.8%
洞	68	1.7%
Other values (227)	2183	53.6%

Common

Value	Count	Frequency (%)
)	25	50.0%
(	25	50.0%

Most occurring blocks

Value	Count	Frequency (%)
CJK	4055	98.3%
ASCII	50	1.2%
CJK Compat Ideographs	20	0.5%

Most frequent character per block

CJK

Value	Count	Frequency (%)
站	1000	24.7%
大	124	3.1%
门	115	2.8%
路	115	2.8%
街	107	2.6%
支	101	2.5%
乙	101	2.5%
化	86	2.1%
四	75	1.8%
洞	68	1.7%
Other values (223)	2163	53.3%

ASCII

Value	Count	Frequency (%)
)	25	50.0%
(	25	50.0%

CJK Compat Ideographs

Value	Count	Frequency (%)
梨	15	75.0%
老	3	15.0%
林	1	5.0%
女	1	5.0%

SUBWAYST_DSTNC_VALUE
Real number (ℝ)

Distinct	936
Distinct (%)	93.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	413.77836

Minimum	0.009446
Maximum	699.54752
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0.009446
5-th percentile	98.42562
Q1	259.30608
median	430.40847
Q3	575.79551
95-th percentile	676.28204
Maximum	699.54752
Range	699.53807
Interquartile range (IQR)	316.48943

Descriptive statistics

Standard deviation	184.4123
Coefficient of variation (CV)	0.44567895
Kurtosis	-1.1090928
Mean	413.77836
Median Absolute Deviation (MAD)	153.88229
Skewness	-0.24843532
Sum	413778.36
Variance	34007.898
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59.77552	6	0.6%
257.409397	6	0.6%
612.785909	4	0.4%
462.410271	4	0.4%
677.616009	4	0.4%
676.21183	3	0.3%
461.551236	3	0.3%
109.059737	2	0.2%
559.154933	2	0.2%
213.346422	2	0.2%
Other values (926)	964	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.009446	1	0.1%
18.673123	1	0.1%
18.967334	1	0.1%
25.132352	1	0.1%
25.359498	1	0.1%
39.684891	1	0.1%
41.966893	1	0.1%
46.021078	1	0.1%
46.034054	1	0.1%
47.776278	1	0.1%

Value	Count	Frequency (%)
699.547518	1	0.1%
698.483019	1	0.1%
698.192538	1	0.1%
696.924441	1	0.1%
696.670583	1	0.1%
696.317406	1	0.1%
695.72837	1	0.1%
693.632945	1	0.1%
693.52106	1	0.1%
692.39651	1	0.1%

RSTRNT_LA
Real number (ℝ)

Distinct	935
Distinct (%)	93.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.555564

Minimum	37.453428
Maximum	37.68503
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	37.453428
5-th percentile	37.492714
Q1	37.539114
median	37.562906
Q3	37.570897
95-th percentile	37.603853
Maximum	37.68503
Range	0.2316017
Interquartile range (IQR)	0.031782475

Descriptive statistics

Standard deviation	0.031949077
Coefficient of variation (CV)	0.00085071488
Kurtosis	1.1729098
Mean	37.555564
Median Absolute Deviation (MAD)	0.0109993
Skewness	-0.17347138
Sum	37555.564
Variance	0.0010207435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.5214704	6	0.6%
37.504154	6	0.6%
37.5208744	4	0.4%
37.5644687	4	0.4%
37.5121721	4	0.4%
37.5641656	3	0.3%
37.5196767	3	0.3%
37.5210051	2	0.2%
37.5703041	2	0.2%
37.562291	2	0.2%
Other values (925)	964	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.4534281	1	0.1%
37.4559852	1	0.1%
37.4672522	2	0.2%
37.4685471	1	0.1%
37.4755582	1	0.1%
37.4789287	1	0.1%
37.4801437	1	0.1%
37.4802585	1	0.1%
37.4802634	1	0.1%
37.4804543	1	0.1%

Value	Count	Frequency (%)
37.6850298	1	0.1%
37.6846059	1	0.1%
37.6773506	1	0.1%
37.6713881	1	0.1%
37.665656	1	0.1%
37.6638325	1	0.1%
37.6516194	1	0.1%
37.6513711	1	0.1%
37.6475992	1	0.1%
37.6357937	1	0.1%

RSTRNT_LO
Real number (ℝ)

Distinct	936
Distinct (%)	93.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.98345

Minimum	126.80745
Maximum	127.15365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	126.80745
5-th percentile	126.88923
Q1	126.94847
median	126.98542
Q3	127.01215
95-th percentile	127.07999
Maximum	127.15365
Range	0.3461964
Interquartile range (IQR)	0.063678875

Descriptive statistics

Standard deviation	0.057537291
Coefficient of variation (CV)	0.00045310859
Kurtosis	0.49320298
Mean	126.98345
Median Absolute Deviation (MAD)	0.0304145
Skewness	-0.18079765
Sum	126983.45
Variance	0.0033105398
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.9249738	6	0.6%
126.879538	6	0.6%
126.9313093	4	0.4%
127.0653425	4	0.4%
126.9800463	4	0.4%
126.9811637	3	0.3%
126.928942	3	0.3%
126.9238388	2	0.2%
126.9824573	2	0.2%
126.9078716	2	0.2%
Other values (926)	964	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.8074545	1	0.1%
126.8079647	1	0.1%
126.8080279	2	0.2%
126.8081111	1	0.1%
126.8091358	1	0.1%
126.8099671	1	0.1%
126.8120516	1	0.1%
126.8121299	1	0.1%
126.82014	1	0.1%
126.8409761	1	0.1%

Value	Count	Frequency (%)
127.1536509	1	0.1%
127.1528684	1	0.1%
127.1343437	1	0.1%
127.1313787	1	0.1%
127.1294834	1	0.1%
127.1267408	1	0.1%
127.1265552	1	0.1%
127.1263565	1	0.1%
127.1263319	1	0.1%
127.126184	1	0.1%

Phik (φk)
Auto

Heatmap
Table

	RSTRNT_ID	RSTRNT_TEL_NO	SUBWAYST_DSTNC_VALUE	RSTRNT_LA	RSTRNT_LO
RSTRNT_ID	1.000	0.000	0.101	0.191	0.313
RSTRNT_TEL_NO	0.000	1.000	0.162	0.043	0.145
SUBWAYST_DSTNC_VALUE	0.101	0.162	1.000	0.213	0.299
RSTRNT_LA	0.191	0.043	0.213	1.000	0.709
RSTRNT_LO	0.313	0.145	0.299	0.709	1.000

Heatmap
Table

	RSTRNT_ID	RSTRNT_TEL_NO	SUBWAYST_DSTNC_VALUE	RSTRNT_LA	RSTRNT_LO
RSTRNT_ID	1.000	-0.050	-0.067	-0.165	0.056
RSTRNT_TEL_NO	-0.050	1.000	-0.001	-0.045	-0.043
SUBWAYST_DSTNC_VALUE	-0.067	-0.001	1.000	0.026	0.010
RSTRNT_LA	-0.165	-0.045	0.026	1.000	0.369
RSTRNT_LO	0.056	-0.043	0.010	0.369	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

	CTY_NM	RSTRNT_ID	RSTRNT_NM	LNM_ADDR	RDNMADR_NM	RSTRNT_TEL_NO	SUBWAYST_NM	SUBWAYST_DSTNC_VALUE	RSTRNT_LA	RSTRNT_LO
0	首尔特别市	1088	penand coffee	首尔特别市钟路区宽勋洞198-10	首尔特别市钟路区仁寺洞5街12	27250062	安国站	429.328207	37.572857	126.985577
1	首尔特别市	1115	todamtodam	首尔特别市钟路区樂园洞218-1	首尔特别市钟路区水标路121	27447934	安国站	588.600893	37.571998	126.988855
2	首尔特别市	1116	ttowachamsutdwaeji galbi	首尔特别市钟路区卧龙洞166	首尔特别市钟路区敦化门路11ga街48	236760399	安国站	480.519173	37.574727	126.990652
3	首尔特别市	1117	東成閣	首尔特别市钟路区唐珠洞18	首尔特别市钟路区新门内路9街29-2	27350107	光化门站	135.405082	37.571444	126.975272
4	首尔特别市	1121	hurendeu chicken	首尔特别市龙山区梨泰院洞225-112	首尔特别市龙山区槐树路13街10	27964642	梨泰院站	691.733995	37.539777	126.989591
5	首尔特别市	1123	donghosutbul barbecue	首尔特别市蘆原区上溪洞651	首尔特别市蘆原区东一路1541	29321090	马得站	82.551107	37.665656	127.057086
6	首尔特别市	1126	beuraeseori	首尔特别市江南区三成洞159	首尔特别市江南区奉恩寺路524	234308585	奉恩寺站	358.337782	37.512878	127.057291
7	首尔特别市	1130	amarello	首尔特别市江东区城内洞552-12	首尔特别市江东区城内路6街14-26	24886394	江东区厅站	122.34769	37.529883	127.12154
8	首尔特别市	1134	cafe rinneseu garden	首尔特别市永登浦区汝矣岛洞24-2	首尔特别市永登浦区汝矣渡口路77-1	27834877	汝矣渡口站	585.875047	37.524395	126.927161
9	首尔特别市	1156	梅河	首尔特别市恩平区佛光洞281-52	首尔特别市恩平区统一路66街11	<NA>	佛光站	138.95237	37.61083	126.931351

	CTY_NM	RSTRNT_ID	RSTRNT_NM	LNM_ADDR	RDNMADR_NM	RSTRNT_TEL_NO	SUBWAYST_NM	SUBWAYST_DSTNC_VALUE	RSTRNT_LA	RSTRNT_LO
990	首尔特别市	9731	cheongdammyeonok	首尔特别市江南区三成洞8-1	首尔特别市江南区宣陵路664	25483777	宣靖陵站	571.354102	37.515896	127.042335
991	首尔特别市	9732	duruchigi yuseonsaeng	首尔特别市江南区三成洞166-6	首尔特别市江南区奉恩寺路114街42	25631159	奉恩寺站	462.410271	37.512172	127.065342
992	首尔特别市	9733	ucheuwa	首尔特别市江南区三成洞9-6	首尔特别市江南区鹤洞路56街32	25114956	宣靖陵站	486.35216	37.51519	127.042846
993	首尔特别市	9734	samhwanso hanmari	首尔特别市江南区三成洞107-5	首尔特别市江南区永东大路112街10	25452429	奉恩寺站	71.137746	37.514992	127.061034
994	首尔特别市	9738	coffee olli	首尔特别市江南区論岘洞164-11	首尔特别市江南区江南大路506	260840015	论岘站	443.281908	37.50749	127.023517
995	首尔特别市	9739	insaengkacheu	首尔特别市江南区新沙洞615-1	首尔特别市江南区狎鸥亭路216	25453442	狎鸥亭站	292.378461	37.528095	127.031045
996	首尔特别市	9740	60nyeon jeontong sinchon hwang sogopchang	首尔特别市江南区論岘洞144	首尔特别市江南区江南大路128街10	25114632	论岘站	198.039233	37.509822	127.023083
997	首尔特别市	9741	hanul dakgalbi	首尔特别市江南区論岘洞144-1	首尔特别市江南区鹤洞路2街29	25488970	论岘站	221.588825	37.509577	127.023119
998	首尔特别市	9742	sammi	首尔特别市江南区論岘洞143-10	首尔特别市江南区鹤洞路2街30	25499485	论岘站	222.153768	37.509475	127.022935
999	首尔特别市	9743	mr. dolsoe	首尔特别市江南区三成洞166-6	首尔特别市江南区奉恩寺路114街42	25670933	奉恩寺站	462.410271	37.512172	127.065342

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Han

Latin

Common

Hangul

Katakana

Most occurring blocks

Most frequent character per block

ASCII

CJK

CJK Compat Ideographs

Hangul

Katakana

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Han

Common

Hangul

Most occurring blocks

Most frequent character per block

CJK

ASCII

CJK Compat Ideographs

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Lowercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Han

Common

Latin

Hangul

Most occurring blocks

Most frequent character per block

CJK

ASCII

CJK Compat Ideographs

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Han

Common

Most occurring blocks

Most frequent character per block