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=e769bbbf-2920-43d6-8e01-ae7a00dc3357

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 10:08:50.319201
Analysis finished	2023-12-10 10:08:58.215324
Duration	7.9 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

ソウル特別市	1000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ソウル特別市
2nd row	ソウル特別市
3rd row	ソウル特別市
4th row	ソウル特別市
5th row	ソウル特別市

Common Values

Value	Count	Frequency (%)
ソウル特別市	1000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ソウル特別市	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	13.892
Min length	1

Characters and Unicode

Total characters	13892
Distinct characters	267
Distinct categories	9 ?
Distinct scripts	6 ?
Distinct blocks	6 ?

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%
sundae	11	0.6%
baguette	11	0.6%
Other values (1130)	1487	86.9%

Most occurring characters

Value	Count	Frequency (%)
n	1450	10.4%
a	1407	10.1%
g	1173	8.4%
o	1126	8.1%
e	1102	7.9%
i	727	5.2%
	716	5.2%
u	696	5.0%
s	595	4.3%
k	507	3.6%
Other values (257)	4393	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12715	91.5%
Space Separator	716	5.2%
Other Letter	346	2.5%
Uppercase Letter	69	0.5%
Decimal Number	23	0.2%
Dash Punctuation	11	0.1%
Other Punctuation	10	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
東	9	2.6%
店	8	2.3%
園	6	1.7%
城	5	1.4%
館	5	1.4%
莊	5	1.4%
山	5	1.4%
飯	5	1.4%
新	5	1.4%
明	5	1.4%
Other values (197)	288	83.2%

Lowercase Letter

Value	Count	Frequency (%)
n	1450	11.4%
a	1407	11.1%
g	1173	9.2%
o	1126	8.9%
e	1102	8.7%
i	727	5.7%
u	696	5.5%
s	595	4.7%
k	507	4.0%
j	497	3.9%
Other values (15)	3435	27.0%

Uppercase Letter

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

Decimal Number

Value	Count	Frequency (%)
0	4	17.4%
1	4	17.4%
2	4	17.4%
9	3	13.0%
4	3	13.0%
7	2	8.7%
6	1	4.3%
8	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 (%)
	716	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12784	92.0%
Common	762	5.5%
Han	318	2.3%
Hiragana	20	0.1%
Hangul	5	< 0.1%
Katakana	3	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
東	9	2.8%
店	8	2.5%
園	6	1.9%
城	5	1.6%
館	5	1.6%
莊	5	1.6%
山	5	1.6%
飯	5	1.6%
新	5	1.6%
明	5	1.6%
Other values (172)	260	81.8%

Latin

Value	Count	Frequency (%)
n	1450	11.3%
a	1407	11.0%
g	1173	9.2%
o	1126	8.8%
e	1102	8.6%
i	727	5.7%
u	696	5.4%
s	595	4.7%
k	507	4.0%
j	497	3.9%
Other values (33)	3504	27.4%

Common

Value	Count	Frequency (%)
	716	94.0%
-	11	1.4%
&	5	0.7%
0	4	0.5%
1	4	0.5%
2	4	0.5%
9	3	0.4%
.	3	0.4%
4	3	0.4%
7	2	0.3%
Other values (7)	7	0.9%

Hiragana

Value	Count	Frequency (%)
さ	2	10.0%
う	2	10.0%
こ	2	10.0%
な	1	5.0%
か	1	5.0%
ひ	1	5.0%
ん	1	5.0%
ょ	1	5.0%
つ	1	5.0%
た	1	5.0%
Other values (7)	7	35.0%

Hangul

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

Katakana

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13546	97.5%
CJK	312	2.2%
Hiragana	20	0.1%
CJK Compat Ideographs	6	< 0.1%
Hangul	5	< 0.1%
Katakana	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1450	10.7%
a	1407	10.4%
g	1173	8.7%
o	1126	8.3%
e	1102	8.1%
i	727	5.4%
	716	5.3%
u	696	5.1%
s	595	4.4%
k	507	3.7%
Other values (50)	4047	29.9%

CJK

Value	Count	Frequency (%)
東	9	2.9%
店	8	2.6%
園	6	1.9%
城	5	1.6%
館	5	1.6%
莊	5	1.6%
山	5	1.6%
飯	5	1.6%
新	5	1.6%
明	5	1.6%
Other values (168)	254	81.4%

Hiragana

Value	Count	Frequency (%)
さ	2	10.0%
う	2	10.0%
こ	2	10.0%
な	1	5.0%
か	1	5.0%
ひ	1	5.0%
ん	1	5.0%
ょ	1	5.0%
つ	1	5.0%
た	1	5.0%
Other values (7)	7	35.0%

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%
트	1	20.0%
스	1	20.0%

Katakana

Value	Count	Frequency (%)
カ	1	33.3%
ル	1	33.3%
ビ	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	38
Median length	23
Mean length	19.101135
Min length	14

Characters and Unicode

Total characters	18509
Distinct characters	293
Distinct categories	4 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

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	ソウル特別市鍾路区寬勲洞198-10
2nd row	ソウル特別市鍾路区樂園洞218-1
3rd row	ソウル特別市鍾路区臥竜洞166
4th row	ソウル特別市鍾路区唐珠洞18
5th row	ソウル特別市龍山区梨泰院洞225-112

Value	Count	Frequency (%)
ソウル特別市	969	33.3%
中区	253	8.7%
鍾路区	159	5.5%
永登浦区	89	3.1%
龍山区	55	1.9%
西大門区	45	1.5%
東大門区	42	1.4%
広津区	36	1.2%
城東区	35	1.2%
麻浦区	34	1.2%
Other values (931)	1194	41.0%

Most occurring characters

Value	Count	Frequency (%)
	1942	10.5%
ソ	969	5.2%
市	969	5.2%
ウ	969	5.2%
区	969	5.2%
別	969	5.2%
特	969	5.2%
ル	969	5.2%
洞	835	4.5%
-	801	4.3%
Other values (283)	8148	44.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	11849	64.0%
Decimal Number	3917	21.2%
Space Separator	1942	10.5%
Dash Punctuation	801	4.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
ソ	969	8.2%
市	969	8.2%
ウ	969	8.2%
区	969	8.2%
別	969	8.2%
特	969	8.2%
ル	969	8.2%
洞	835	7.0%
中	289	2.4%
路	288	2.4%
Other values (271)	3654	30.8%

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%

Space Separator

Value	Count	Frequency (%)
	1942	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	801	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Han	8934	48.3%
Common	6660	36.0%
Katakana	2907	15.7%
Hangul	8	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
市	969	10.8%
区	969	10.8%
別	969	10.8%
特	969	10.8%
洞	835	9.3%
中	289	3.2%
路	288	3.2%
街	260	2.9%
鍾	192	2.1%
浦	165	1.8%
Other values (260)	3029	33.9%

Common

Value	Count	Frequency (%)
	1942	29.2%
-	801	12.0%
1	801	12.0%
2	626	9.4%
3	508	7.6%
4	403	6.1%
5	343	5.2%
6	294	4.4%
0	247	3.7%
7	241	3.6%
Other values (2)	454	6.8%

Hangul

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

Katakana

Value	Count	Frequency (%)
ソ	969	33.3%
ウ	969	33.3%
ル	969	33.3%

Most occurring blocks

Value	Count	Frequency (%)
CJK	8802	47.6%
ASCII	6660	36.0%
Katakana	2907	15.7%
CJK Compat Ideographs	132	0.7%
Hangul	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1942	29.2%
-	801	12.0%
1	801	12.0%
2	626	9.4%
3	508	7.6%
4	403	6.1%
5	343	5.2%
6	294	4.4%
0	247	3.7%
7	241	3.6%
Other values (2)	454	6.8%

Katakana

Value	Count	Frequency (%)
ソ	969	33.3%
ウ	969	33.3%
ル	969	33.3%

CJK

Value	Count	Frequency (%)
市	969	11.0%
区	969	11.0%
別	969	11.0%
特	969	11.0%
洞	835	9.5%
中	289	3.3%
路	288	3.3%
街	260	3.0%
鍾	192	2.2%
浦	165	1.9%
Other values (243)	2897	32.9%

CJK Compat Ideographs

Value	Count	Frequency (%)
龍	75	56.8%
樂	9	6.8%
蘆	7	5.3%
論	6	4.5%
老	5	3.8%
梨	5	3.8%
蓮	3	2.3%
冷	3	2.3%
陵	3	2.3%
磻	3	2.3%
Other values (7)	13	9.8%

Hangul

Value	Count	Frequency (%)
지	1	12.5%
인	1	12.5%
현	1	12.5%
쇼	1	12.5%
핑	1	12.5%
센	1	12.5%
터	1	12.5%
하	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	28
Median length	26
Mean length	21.055271
Min length	15

Characters and Unicode

Total characters	20571
Distinct characters	128
Distinct categories	4 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

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	ソウル特別市鍾路区インサドン5ギル12
2nd row	ソウル特別市鍾路区スピョロ121
3rd row	ソウル特別市鍾路区トンファムンロ11ガギル48
4th row	ソウル特別市鍾路区セムンアンロ9ギル29-2
5th row	ソウル特別市龍山区フェナムロ13ギル10

Value	Count	Frequency (%)
ソウル特別市	977	33.3%
中区	254	8.7%
鍾路区	157	5.4%
永登浦区	86	2.9%
龍山区	52	1.8%
西大門区	47	1.6%
東大門区	44	1.5%
広津区	37	1.3%
城東区	37	1.3%
麻浦区	33	1.1%
Other values (930)	1207	41.2%

Most occurring characters

Value	Count	Frequency (%)
	1954	9.5%
ル	1686	8.2%
ウ	1092	5.3%
ソ	1045	5.1%
ン	1043	5.1%
区	977	4.7%
特	977	4.7%
別	977	4.7%
市	977	4.7%
ロ	890	4.3%
Other values (118)	8953	43.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	15187	73.8%
Decimal Number	3197	15.5%
Space Separator	1954	9.5%
Dash Punctuation	233	1.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
ル	1686	11.1%
ウ	1092	7.2%
ソ	1045	6.9%
ン	1043	6.9%
区	977	6.4%
特	977	6.4%
別	977	6.4%
市	977	6.4%
ロ	890	5.9%
ギ	605	4.0%
Other values (106)	4918	32.4%

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%

Space Separator

Value	Count	Frequency (%)
	1954	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	233	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Katakana	9377	45.6%
Han	5809	28.2%
Common	5384	26.2%
Hangul	1	< 0.1%

Most frequent character per script

Katakana

Value	Count	Frequency (%)
ル	1686	18.0%
ウ	1092	11.6%
ソ	1045	11.1%
ン	1043	11.1%
ロ	890	9.5%
ギ	605	6.5%
ョ	283	3.0%
ム	219	2.3%
チ	206	2.2%
ジ	166	1.8%
Other values (60)	2142	22.8%

Han

Value	Count	Frequency (%)
区	977	16.8%
特	977	16.8%
別	977	16.8%
市	977	16.8%
中	269	4.6%
路	163	2.8%
鍾	157	2.7%
浦	119	2.0%
東	92	1.6%
大	91	1.6%
Other values (35)	1010	17.4%

Common

Value	Count	Frequency (%)
	1954	36.3%
1	761	14.1%
2	466	8.7%
3	357	6.6%
4	344	6.4%
5	249	4.6%
-	233	4.3%
7	222	4.1%
8	209	3.9%
0	208	3.9%
Other values (2)	381	7.1%

Hangul

Value	Count	Frequency (%)
길	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Katakana	9377	45.6%
CJK	5750	28.0%
ASCII	5384	26.2%
CJK Compat Ideographs	59	0.3%
Hangul	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1954	36.3%
1	761	14.1%
2	466	8.7%
3	357	6.6%
4	344	6.4%
5	249	4.6%
-	233	4.3%
7	222	4.1%
8	209	3.9%
0	208	3.9%
Other values (2)	381	7.1%

Katakana

Value	Count	Frequency (%)
ル	1686	18.0%
ウ	1092	11.6%
ソ	1045	11.1%
ン	1043	11.1%
ロ	890	9.5%
ギ	605	6.5%
ョ	283	3.0%
ム	219	2.3%
チ	206	2.2%
ジ	166	1.8%
Other values (60)	2142	22.8%

CJK

Value	Count	Frequency (%)
区	977	17.0%
特	977	17.0%
別	977	17.0%
市	977	17.0%
中	269	4.7%
路	163	2.8%
鍾	157	2.7%
浦	119	2.1%
東	92	1.6%
大	91	1.6%
Other values (33)	951	16.5%

CJK Compat Ideographs

Value	Count	Frequency (%)
龍	52	88.1%
蘆	7	11.9%

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	18
Median length	12
Mean length	6.39
Min length	3

Characters and Unicode

Total characters	6390
Distinct characters	75
Distinct categories	4 ?
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	48 ?
Unique (%)	4.8%

Sample

1st row	アングク駅
2nd row	アングク駅
3rd row	アングク駅
4th row	クァンファムン駅
5th row	イテウォン駅

Value	Count	Frequency (%)
ウルチロサガ駅	74	7.4%
フェヒョン駅	63	6.3%
クァンファムン駅	56	5.6%
ミョンドン駅	53	5.3%
ヨンドゥンポ駅	33	3.3%
アングク駅	28	2.8%
ウルチロサムガ駅	27	2.7%
ソウル駅(京義線	25	2.5%
ソデムン駅	25	2.5%
トンデムンヨクサムンファゴンウォン駅	22	2.2%
Other values (160)	594	59.4%

Most occurring characters

Value	Count	Frequency (%)
ン	1131	17.7%
駅	1000	15.6%
ョ	265	4.1%
ク	228	3.6%
ム	225	3.5%
チ	210	3.3%
ウ	194	3.0%
サ	192	3.0%
ル	187	2.9%
フ	167	2.6%
Other values (65)	2591	40.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	6324	99.0%
Close Punctuation	25	0.4%
Open Punctuation	25	0.4%
Other Punctuation	16	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
ン	1131	17.9%
駅	1000	15.8%
ョ	265	4.2%
ク	228	3.6%
ム	225	3.6%
チ	210	3.3%
ウ	194	3.1%
サ	192	3.0%
ル	187	3.0%
フ	167	2.6%
Other values (62)	2525	39.9%

Close Punctuation

Value	Count	Frequency (%)
)	25	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	25	100.0%

Other Punctuation

Value	Count	Frequency (%)
・	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Katakana	5249	82.1%
Han	1075	16.8%
Common	66	1.0%

Most frequent character per script

Katakana

Value	Count	Frequency (%)
ン	1131	21.5%
ョ	265	5.0%
ク	228	4.3%
ム	225	4.3%
チ	210	4.0%
ウ	194	3.7%
サ	192	3.7%
ル	187	3.6%
フ	167	3.2%
ァ	157	3.0%
Other values (58)	2293	43.7%

Han

Value	Count	Frequency (%)
駅	1000	93.0%
京	25	2.3%
線	25	2.3%
義	25	2.3%

Common

Value	Count	Frequency (%)
)	25	37.9%
(	25	37.9%
・	16	24.2%

Most occurring blocks

Value	Count	Frequency (%)
Katakana	5265	82.4%
CJK	1075	16.8%
ASCII	50	0.8%

Most frequent character per block

Katakana

Value	Count	Frequency (%)
ン	1131	21.5%
ョ	265	5.0%
ク	228	4.3%
ム	225	4.3%
チ	210	4.0%
ウ	194	3.7%
サ	192	3.6%
ル	187	3.6%
フ	167	3.2%
ァ	157	3.0%
Other values (59)	2309	43.9%

CJK

Value	Count	Frequency (%)
駅	1000	93.0%
京	25	2.3%
線	25	2.3%
義	25	2.3%

ASCII

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

SUBWAYST_NM.1
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_NM.1	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_NM.1	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_NM.1	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_NM.1	-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_NM.1	RSTRNT_LA	RSTRNT_LO
0	ソウル特別市	1088	penand coffee	ソウル特別市鍾路区寬勲洞198-10	ソウル特別市鍾路区インサドン5ギル12	27250062	アングク駅	429.328207	37.572857	126.985577
1	ソウル特別市	1115	todamtodam	ソウル特別市鍾路区樂園洞218-1	ソウル特別市鍾路区スピョロ121	27447934	アングク駅	588.600893	37.571998	126.988855
2	ソウル特別市	1116	ttowachamsutdwaeji galbi	ソウル特別市鍾路区臥竜洞166	ソウル特別市鍾路区トンファムンロ11ガギル48	236760399	アングク駅	480.519173	37.574727	126.990652
3	ソウル特別市	1117	東成閣	ソウル特別市鍾路区唐珠洞18	ソウル特別市鍾路区セムンアンロ9ギル29-2	27350107	クァンファムン駅	135.405082	37.571444	126.975272
4	ソウル特別市	1121	hurendeu chicken	ソウル特別市龍山区梨泰院洞225-112	ソウル特別市龍山区フェナムロ13ギル10	27964642	イテウォン駅	691.733995	37.539777	126.989591
5	ソウル特別市	1123	donghosutbul barbecue	ソウル特別市蘆原区上渓洞651	ソウル特別市蘆原区トンイルロ1541	29321090	マドゥル駅	82.551107	37.665656	127.057086
6	ソウル特別市	1126	beuraeseori	ソウル特別市江南区三成洞159	ソウル特別市江南区ポンウンサロ524	234308585	ポンウンサ駅	358.337782	37.512878	127.057291
7	ソウル特別市	1130	amarello	ソウル特別市江東区城內洞552-12	ソウル特別市江東区ソンネロ6ギル14-26	24886394	カンドングチョン駅	122.34769	37.529883	127.12154
8	ソウル特別市	1134	cafe rinneseu garden	ソウル特別市永登浦区汝矣島洞24-2	ソウル特別市永登浦区ヨウィナルロ77-1	27834877	ヨイナル駅	585.875047	37.524395	126.927161
9	ソウル特別市	1156	梅河	ソウル特別市恩平区仏光洞281-52	ソウル特別市恩平区トンイルロ66ギル11	<NA>	プルグァン駅	138.95237	37.61083	126.931351

	CTY_NM	RSTRNT_ID	RSTRNT_NM	LNM_ADDR	RDNMADR_NM	RSTRNT_TEL_NO	SUBWAYST_NM	SUBWAYST_NM.1	RSTRNT_LA	RSTRNT_LO
990	ソウル特別市	9731	cheongdammyeonok	ソウル特別市江南区三成洞8-1	ソウル特別市江南区ソンルンロ664	25483777	ソンジョンヌン駅	571.354102	37.515896	127.042335
991	ソウル特別市	9732	duruchigi yuseonsaeng	ソウル特別市江南区三成洞166-6	ソウル特別市江南区ポンウンサロ114ギル42	25631159	ポンウンサ駅	462.410271	37.512172	127.065342
992	ソウル特別市	9733	うつわ	ソウル特別市江南区三成洞9-6	ソウル特別市江南区ハクドンロ56ギル32	25114956	ソンジョンヌン駅	486.35216	37.51519	127.042846
993	ソウル特別市	9734	samhwanso hanmari	ソウル特別市江南区三成洞107-5	ソウル特別市江南区ヨンドンデロ112ギル10	25452429	ポンウンサ駅	71.137746	37.514992	127.061034
994	ソウル特別市	9738	coffee olli	ソウル特別市江南区論峴洞164-11	ソウル特別市江南区カンナムデロ506	260840015	ノンヒョン駅	443.281908	37.50749	127.023517
995	ソウル特別市	9739	insaengkacheu	ソウル特別市江南区新沙洞615-1	ソウル特別市江南区アブグジョンロ216	25453442	アックジョン駅	292.378461	37.528095	127.031045
996	ソウル特別市	9740	60nyeon jeontong sinchon hwang sogopchang	ソウル特別市江南区論峴洞144	ソウル特別市江南区カンナムデロ128ギル10	25114632	ノンヒョン駅	198.039233	37.509822	127.023083
997	ソウル特別市	9741	hanul dakgalbi	ソウル特別市江南区論峴洞144-1	ソウル特別市江南区ハクドンロ2ギル29	25488970	ノンヒョン駅	221.588825	37.509577	127.023119
998	ソウル特別市	9742	sammi	ソウル特別市江南区論峴洞143-10	ソウル特別市江南区ハクドンロ2ギル30	25499485	ノンヒョン駅	222.153768	37.509475	127.022935
999	ソウル特別市	9743	mr. dolsoe	ソウル特別市江南区三成洞166-6	ソウル特別市江南区ポンウンサロ114ギル42	25670933	ポンウンサ駅	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

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Han

Latin

Common

Hiragana

Hangul

Katakana

Most occurring blocks

Most frequent character per block

ASCII

CJK

Hiragana

CJK Compat Ideographs

Hangul

Katakana

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

Han

Common

Hangul

Katakana

Most occurring blocks

Most frequent character per block

ASCII

Katakana

CJK

CJK Compat Ideographs

Hangul

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

Katakana

Han

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Katakana

CJK

CJK Compat Ideographs

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Close Punctuation

Open Punctuation

Other Punctuation