gimi9 Pandas Profiling

Dataset statistics

Number of variables	13
Number of observations	199
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	21.3 KiB
Average record size in memory	109.7 B

Variable types

Text	7
Numeric	4
Categorical	2

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMTERMINAL00015FREE

Alerts

`1` has constant value ""	Constant
`4131010400003540002` is highly overall correlated with `323227`	High correlation
`323227` is highly overall correlated with `4131010400003540002`	High correlation
`시외` is highly imbalanced (75.7%)	Imbalance
`E02639` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:46:03.115818
Analysis finished	2023-12-10 06:46:06.519754
Duration	3.4 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

E02639
Text

UNIQUE

Distinct	199
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	1194
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	199 ?
Unique (%)	100.0%

Sample

1st row	E02338
2nd row	E02344
3rd row	E02541
4th row	E02275
5th row	E02490

Value	Count	Frequency (%)
e02338	1	0.5%
e02666	1	0.5%
e02346	1	0.5%
e02540	1	0.5%
e02679	1	0.5%
e02568	1	0.5%
e02694	1	0.5%
e02452	1	0.5%
e02445	1	0.5%
e02489	1	0.5%
Other values (189)	189	95.0%

Most occurring characters

Value	Count	Frequency (%)
0	257	21.5%
2	243	20.4%
E	199	16.7%
5	86	7.2%
4	82	6.9%
3	74	6.2%
6	72	6.0%
9	51	4.3%
7	50	4.2%
1	47	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	995	83.3%
Uppercase Letter	199	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	257	25.8%
2	243	24.4%
5	86	8.6%
4	82	8.2%
3	74	7.4%
6	72	7.2%
9	51	5.1%
7	50	5.0%
1	47	4.7%
8	33	3.3%

Uppercase Letter

Value	Count	Frequency (%)
E	199	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	995	83.3%
Latin	199	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	257	25.8%
2	243	24.4%
5	86	8.6%
4	82	8.2%
3	74	7.4%
6	72	7.2%
9	51	5.1%
7	50	5.0%
1	47	4.7%
8	33	3.3%

Latin

Value	Count	Frequency (%)
E	199	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1194	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	257	21.5%
2	243	20.4%
E	199	16.7%
5	86	7.2%
4	82	6.9%
3	74	6.2%
6	72	6.0%
9	51	4.3%
7	50	4.2%
1	47	3.9%

금강고속
Text

Distinct	193
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	11
Median length	9
Mean length	4.5778894
Min length	2

Characters and Unicode

Total characters	911
Distinct characters	205
Distinct categories	7 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	187 ?
Unique (%)	94.0%

Sample

1st row	전곡
2nd row	장풍리(시내)
3rd row	북삼송
4th row	풍림
5th row	송내한전

Value	Count	Frequency (%)
여주	2	1.0%
삼성	2	1.0%
안산	2	1.0%
검찰청입구	2	1.0%
수원	2	1.0%
이천	2	1.0%
송우리	1	0.5%
신갈(용인	1	0.5%
운심2리(시내	1	0.5%
전곡	1	0.5%
Other values (184)	184	92.0%

Most occurring characters

Value	Count	Frequency (%)
(	49	5.4%
)	49	5.4%
시	46	5.0%
리	37	4.1%
내	34	3.7%
대	23	2.5%
동	19	2.1%
지	16	1.8%
성	14	1.5%
원	12	1.3%
Other values (195)	612	67.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	784	86.1%
Open Punctuation	49	5.4%
Close Punctuation	49	5.4%
Decimal Number	20	2.2%
Uppercase Letter	6	0.7%
Other Punctuation	2	0.2%
Space Separator	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	46	5.9%
리	37	4.7%
내	34	4.3%
대	23	2.9%
동	19	2.4%
지	16	2.0%
성	14	1.8%
원	12	1.5%
수	11	1.4%
고	11	1.4%
Other values (181)	561	71.6%

Decimal Number

Value	Count	Frequency (%)
2	7	35.0%
1	5	25.0%
3	5	25.0%
4	2	10.0%
6	1	5.0%

Uppercase Letter

Value	Count	Frequency (%)
A	2	33.3%
T	1	16.7%
P	1	16.7%
S	1	16.7%
G	1	16.7%

Open Punctuation

Value	Count	Frequency (%)
(	49	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	49	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	784	86.1%
Common	121	13.3%
Latin	6	0.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	46	5.9%
리	37	4.7%
내	34	4.3%
대	23	2.9%
동	19	2.4%
지	16	2.0%
성	14	1.8%
원	12	1.5%
수	11	1.4%
고	11	1.4%
Other values (181)	561	71.6%

Common

Value	Count	Frequency (%)
(	49	40.5%
)	49	40.5%
2	7	5.8%
1	5	4.1%
3	5	4.1%
.	2	1.7%
4	2	1.7%
6	1	0.8%
	1	0.8%

Latin

Value	Count	Frequency (%)
A	2	33.3%
T	1	16.7%
P	1	16.7%
S	1	16.7%
G	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	784	86.1%
ASCII	127	13.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
(	49	38.6%
)	49	38.6%
2	7	5.5%
1	5	3.9%
3	5	3.9%
.	2	1.6%
4	2	1.6%
A	2	1.6%
T	1	0.8%
P	1	0.8%
Other values (4)	4	3.1%

Hangul

Value	Count	Frequency (%)
시	46	5.9%
리	37	4.7%
내	34	4.3%
대	23	2.9%
동	19	2.4%
지	16	2.0%
성	14	1.8%
원	12	1.5%
수	11	1.4%
고	11	1.4%
Other values (181)	561	71.6%

경기도 구리시 교문동 354-2번지
Text

Distinct	188
Distinct (%)	94.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	28
Median length	25
Mean length	21.839196
Min length	17

Characters and Unicode

Total characters	4346
Distinct characters	165
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	179 ?
Unique (%)	89.9%

Sample

1st row	경기도 연천군 전곡읍 전곡리 474-2번지
2nd row	경기도 여주시 대신면 장풍리 165-5번지
3rd row	경기도 고양시 덕양구 신원동 613번지
4th row	경기도 성남시 분당구 서현동 255-1번지
5th row	경기도 부천시 도당동 185-148번지

Value	Count	Frequency (%)
경기도	199	21.0%
양평군	24	2.5%
용인시	19	2.0%
수원시	16	1.7%
고양시	16	1.7%
여주시	15	1.6%
안산시	11	1.2%
이천시	10	1.1%
처인구	9	0.9%
덕양구	9	0.9%
Other values (419)	620	65.4%

Most occurring characters

Value	Count	Frequency (%)
	749	17.2%
지	212	4.9%
기	207	4.8%
도	204	4.7%
경	200	4.6%
번	199	4.6%
시	175	4.0%
1	144	3.3%
-	140	3.2%
동	139	3.2%
Other values (155)	1977	45.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2678	61.6%
Decimal Number	779	17.9%
Space Separator	749	17.2%
Dash Punctuation	140	3.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	212	7.9%
기	207	7.7%
도	204	7.6%
경	200	7.5%
번	199	7.4%
시	175	6.5%
동	139	5.2%
리	82	3.1%
구	81	3.0%
양	78	2.9%
Other values (143)	1101	41.1%

Decimal Number

Value	Count	Frequency (%)
1	144	18.5%
2	108	13.9%
3	89	11.4%
4	79	10.1%
5	78	10.0%
8	62	8.0%
7	59	7.6%
6	59	7.6%
0	51	6.5%
9	50	6.4%

Space Separator

Value	Count	Frequency (%)
	749	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	140	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2678	61.6%
Common	1668	38.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	212	7.9%
기	207	7.7%
도	204	7.6%
경	200	7.5%
번	199	7.4%
시	175	6.5%
동	139	5.2%
리	82	3.1%
구	81	3.0%
양	78	2.9%
Other values (143)	1101	41.1%

Common

Value	Count	Frequency (%)
	749	44.9%
1	144	8.6%
-	140	8.4%
2	108	6.5%
3	89	5.3%
4	79	4.7%
5	78	4.7%
8	62	3.7%
7	59	3.5%
6	59	3.5%
Other values (2)	101	6.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2678	61.6%
ASCII	1668	38.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	749	44.9%
1	144	8.6%
-	140	8.4%
2	108	6.5%
3	89	5.3%
4	79	4.7%
5	78	4.7%
8	62	3.7%
7	59	3.5%
6	59	3.5%
Other values (2)	101	6.1%

Hangul

Value	Count	Frequency (%)
지	212	7.9%
기	207	7.7%
도	204	7.6%
경	200	7.5%
번	199	7.4%
시	175	6.5%
동	139	5.2%
리	82	3.1%
구	81	3.0%
양	78	2.9%
Other values (143)	1101	41.1%

경기도 구리시 아차산로487번길 34
Text

Distinct	119
Distinct (%)	59.8%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	27
Median length	24
Mean length	12.613065
Min length	1

Characters and Unicode

Total characters	2510
Distinct characters	164
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	111 ?
Unique (%)	55.8%

Sample

1st row	경기도 연천군 전곡읍 온골로 49
2nd row	X
3rd row	경기도 고양시 덕양구 오금로 7
4th row	경기도 성남시 분당구 서현로 170
5th row	경기도 부천시 부천로264번길 4

Value	Count	Frequency (%)
경기도	127	18.8%
x	72	10.7%
수원시	12	1.8%
용인시	11	1.6%
안산시	9	1.3%
이천시	8	1.2%
고양시	8	1.2%
안성시	8	1.2%
여주시	8	1.2%
상록구	7	1.0%
Other values (278)	404	59.9%

Most occurring characters

Value	Count	Frequency (%)
	475	18.9%
경	137	5.5%
기	133	5.3%
도	129	5.1%
시	126	5.0%
로	121	4.8%
1	97	3.9%
X	72	2.9%
2	56	2.2%
구	53	2.1%
Other values (154)	1111	44.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1544	61.5%
Space Separator	475	18.9%
Decimal Number	406	16.2%
Uppercase Letter	72	2.9%
Dash Punctuation	13	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
경	137	8.9%
기	133	8.6%
도	129	8.4%
시	126	8.2%
로	121	7.8%
구	53	3.4%
안	38	2.5%
대	38	2.5%
양	36	2.3%
길	27	1.7%
Other values (141)	706	45.7%

Decimal Number

Value	Count	Frequency (%)
1	97	23.9%
2	56	13.8%
7	38	9.4%
6	36	8.9%
4	34	8.4%
3	34	8.4%
5	31	7.6%
0	29	7.1%
9	29	7.1%
8	22	5.4%

Space Separator

Value	Count	Frequency (%)
	475	100.0%

Uppercase Letter

Value	Count	Frequency (%)
X	72	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1544	61.5%
Common	894	35.6%
Latin	72	2.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
경	137	8.9%
기	133	8.6%
도	129	8.4%
시	126	8.2%
로	121	7.8%
구	53	3.4%
안	38	2.5%
대	38	2.5%
양	36	2.3%
길	27	1.7%
Other values (141)	706	45.7%

Common

Value	Count	Frequency (%)
	475	53.1%
1	97	10.9%
2	56	6.3%
7	38	4.3%
6	36	4.0%
4	34	3.8%
3	34	3.8%
5	31	3.5%
0	29	3.2%
9	29	3.2%
Other values (2)	35	3.9%

Latin

Value	Count	Frequency (%)
X	72	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1544	61.5%
ASCII	966	38.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	475	49.2%
1	97	10.0%
X	72	7.5%
2	56	5.8%
7	38	3.9%
6	36	3.7%
4	34	3.5%
3	34	3.5%
5	31	3.2%
0	29	3.0%
Other values (3)	64	6.6%

Hangul

Value	Count	Frequency (%)
경	137	8.9%
기	133	8.6%
도	129	8.4%
시	126	8.2%
로	121	7.8%
구	53	3.4%
안	38	2.5%
대	38	2.5%
양	36	2.3%
길	27	1.7%
Other values (141)	706	45.7%

520118
Real number (ℝ)

Distinct	187
Distinct (%)	94.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	298461.4

Minimum	1254
Maximum	519853
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1254
5-th percentile	52697.3
Q1	175900.5
median	302261
Q3	424327
95-th percentile	509868.4
Maximum	519853
Range	518599
Interquartile range (IQR)	248426.5

Descriptive statistics

Standard deviation	133882.87
Coefficient of variation (CV)	0.44857685
Kurtosis	-0.63110263
Mean	298461.4
Median Absolute Deviation (MAD)	125547
Skewness	-0.28268441
Sum	59393818
Variance	1.7924624 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
176714	3	1.5%
433053	3	1.5%
510456	2	1.0%
148297	2	1.0%
510736	2	1.0%
303764	2	1.0%
300021	2	1.0%
301912	2	1.0%
424327	2	1.0%
170943	2	1.0%
Other values (177)	177	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1254	1	0.5%
1742	1	0.5%
1781	1	0.5%
3265	1	0.5%
3267	1	0.5%
4741	1	0.5%
5626	1	0.5%
7525	1	0.5%
7582	1	0.5%
32477	1	0.5%

Value	Count	Frequency (%)
519853	1	0.5%
519834	1	0.5%
518577	1	0.5%
518539	1	0.5%
511318	1	0.5%
510736	2	1.0%
510456	2	1.0%
510106	1	0.5%
509842	1	0.5%
508564	1	0.5%

시외
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

시외	191
고속	8

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
시외	191	96.0%
고속	8	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
시외	191	96.0%
고속	8	4.0%

경기 구리시 교문동 354-2
Text

Distinct	196
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	40
Median length	33
Mean length	19.613065
Min length	11

Characters and Unicode

Total characters	3903
Distinct characters	215
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	194 ?
Unique (%)	97.5%

Sample

1st row	경기 연천군 전곡읍 온골로 49
2nd row	경기 여주시 대신면 장풍리 165-5
3rd row	경기 고양시 덕양구 신원동 613
4th row	경기 성남시 분당구 서현동 255-1
5th row	경기 부천시 원미구 도당동 185-148

Value	Count	Frequency (%)
경기	173	17.6%
양평군	24	2.4%
용인시	19	1.9%
경기도	18	1.8%
수원시	16	1.6%
고양시	16	1.6%
여주시	15	1.5%
안산시	11	1.1%
이천시	10	1.0%
덕양구	9	0.9%
Other values (462)	674	68.4%

Most occurring characters

Value	Count	Frequency (%)
	787	20.2%
기	200	5.1%
경	194	5.0%
시	179	4.6%
1	160	4.1%
동	105	2.7%
-	99	2.5%
2	98	2.5%
구	85	2.2%
3	83	2.1%
Other values (205)	1913	49.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2257	57.8%
Space Separator	787	20.2%
Decimal Number	743	19.0%
Dash Punctuation	99	2.5%
Close Punctuation	6	0.2%
Open Punctuation	6	0.2%
Uppercase Letter	3	0.1%
Lowercase Letter	2	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	200	8.9%
경	194	8.6%
시	179	7.9%
동	105	4.7%
구	85	3.8%
양	78	3.5%
로	62	2.7%
리	60	2.7%
면	58	2.6%
평	54	2.4%
Other values (186)	1182	52.4%

Decimal Number

Value	Count	Frequency (%)
1	160	21.5%
2	98	13.2%
3	83	11.2%
5	68	9.2%
4	65	8.7%
9	62	8.3%
6	62	8.3%
7	55	7.4%
8	49	6.6%
0	41	5.5%

Uppercase Letter

Value	Count	Frequency (%)
M	1	33.3%
U	1	33.3%
C	1	33.3%

Lowercase Letter

Value	Count	Frequency (%)
s	1	50.0%
k	1	50.0%

Space Separator

Value	Count	Frequency (%)
	787	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	99	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2257	57.8%
Common	1641	42.0%
Latin	5	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	200	8.9%
경	194	8.6%
시	179	7.9%
동	105	4.7%
구	85	3.8%
양	78	3.5%
로	62	2.7%
리	60	2.7%
면	58	2.6%
평	54	2.4%
Other values (186)	1182	52.4%

Common

Value	Count	Frequency (%)
	787	48.0%
1	160	9.8%
-	99	6.0%
2	98	6.0%
3	83	5.1%
5	68	4.1%
4	65	4.0%
9	62	3.8%
6	62	3.8%
7	55	3.4%
Other values (4)	102	6.2%

Latin

Value	Count	Frequency (%)
s	1	20.0%
k	1	20.0%
M	1	20.0%
U	1	20.0%
C	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2257	57.8%
ASCII	1646	42.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	787	47.8%
1	160	9.7%
-	99	6.0%
2	98	6.0%
3	83	5.0%
5	68	4.1%
4	65	3.9%
9	62	3.8%
6	62	3.8%
7	55	3.3%
Other values (9)	107	6.5%

Hangul

Value	Count	Frequency (%)
기	200	8.9%
경	194	8.6%
시	179	7.9%
동	105	4.7%
구	85	3.8%
양	78	3.5%
로	62	2.7%
리	60	2.7%
면	58	2.6%
평	54	2.4%
Other values (186)	1182	52.4%

4131010400003540002
Real number (ℝ)

HIGH CORRELATION

Distinct	188
Distinct (%)	94.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1449601 × 10¹⁸

Minimum	4.1111133 × 10¹⁸
Maximum	4.183041 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	4.1111133 × 10¹⁸
5-th percentile	4.1113137 × 10¹⁸
Q1	4.1271108 × 10¹⁸
median	4.146125 × 10¹⁸
Q3	4.1650177 × 10¹⁸
95-th percentile	4.1830331 × 10¹⁸
Maximum	4.183041 × 10¹⁸
Range	7.1927732 × 10¹⁶
Interquartile range (IQR)	3.790691 × 10¹⁶

Descriptive statistics

Standard deviation	2.3238886 × 10¹⁶
Coefficient of variation (CV)	0.0056065403
Kurtosis	-1.1117856
Mean	4.1449601 × 10¹⁸
Median Absolute Deviation (MAD)	1.8914999 × 10¹⁶
Skewness	0.23010281
Sum	-5.2564328 × 10¹⁸
Variance	5.4004581 × 10³²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4155035031100830010	3	1.5%
4111313700011890000	3	1.5%
4127110800005900000	2	1.0%
4143010100002830005	2	1.0%
4150010300002190001	2	1.0%
4150031029003630010	2	1.0%
4167010200002740001	2	1.0%
4146310200003700008	2	1.0%
4121010600001710001	2	1.0%
4139013200018860005	1	0.5%
Other values (178)	178	89.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4111113300003000000	1	0.5%
4111113400001650003	1	0.5%
4111113400002840005	1	0.5%
4111113600004950000	1	0.5%
4111113600008810000	1	0.5%
4111113600100010024	1	0.5%
4111312900004340003	1	0.5%
4111313100002430006	1	0.5%
4111313700011890000	3	1.5%
4111513400000080000	1	0.5%

Value	Count	Frequency (%)
4183041032007330036	1	0.5%
4183040023002090024	1	0.5%
4183039525009280001	1	0.5%
4183038028102550010	1	0.5%
4183037023003650001	1	0.5%
4183034024101510001	1	0.5%
4183034023011960000	1	0.5%
4183034023008070001	1	0.5%
4183034023003350004	1	0.5%
4183034023000890001	1	0.5%

1
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

1	199

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	199	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	199	100.0%

323227
Real number (ℝ)

HIGH CORRELATION

Distinct	189
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	325314.05

Minimum	286614
Maximum	377197
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	286614
5-th percentile	290774.3
Q1	304681.5
median	322495
Q3	346638
95-th percentile	367483.1
Maximum	377197
Range	90583
Interquartile range (IQR)	41956.5

Descriptive statistics

Standard deviation	24421.911
Coefficient of variation (CV)	0.075071801
Kurtosis	-1.0664681
Mean	325314.05
Median Absolute Deviation (MAD)	20845
Skewness	0.25320276
Sum	64737495
Variance	5.9642975 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
331393	3	1.5%
313265	3	1.5%
351181	2	1.0%
345033	2	1.0%
309305	2	1.0%
321796	2	1.0%
367885	2	1.0%
301584	2	1.0%
298149	1	0.5%
352718	1	0.5%
Other values (179)	179	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
286614	1	0.5%
287389	1	0.5%
287889	1	0.5%
288678	1	0.5%
289330	1	0.5%
289415	1	0.5%
289720	1	0.5%
290128	1	0.5%
290217	1	0.5%
290678	1	0.5%

Value	Count	Frequency (%)
377197	1	0.5%
375011	1	0.5%
372539	1	0.5%
372299	1	0.5%
371055	1	0.5%
367972	1	0.5%
367885	2	1.0%
367876	1	0.5%
367871	1	0.5%
367440	1	0.5%

555559
Real number (ℝ)

Distinct	188
Distinct (%)	94.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	535280.85

Minimum	485246
Maximum	614433
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	485246
5-th percentile	493458.8
Q1	519926
median	531676
Q3	549600
95-th percentile	573441.4
Maximum	614433
Range	129187
Interquartile range (IQR)	29674

Descriptive statistics

Standard deviation	24683.394
Coefficient of variation (CV)	0.046112978
Kurtosis	0.3167101
Mean	535280.85
Median Absolute Deviation (MAD)	13989
Skewness	0.49566529
Sum	1.0652089 × 10⁸
Variance	6.0926996 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
516921	3	1.5%
490486	3	1.5%
519926	2	1.0%
520999	2	1.0%
535753	2	1.0%
527751	2	1.0%
519680	2	1.0%
520361	2	1.0%
545680	2	1.0%
530248	1	0.5%
Other values (178)	178	89.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
485246	1	0.5%
488179	1	0.5%
488279	1	0.5%
489042	1	0.5%
489451	1	0.5%
490309	1	0.5%
490486	3	1.5%
491342	1	0.5%
493694	1	0.5%
495560	1	0.5%

Value	Count	Frequency (%)
614433	1	0.5%
609538	1	0.5%
603911	1	0.5%
602909	1	0.5%
586906	1	0.5%
583870	1	0.5%
580958	1	0.5%
580335	1	0.5%
580097	1	0.5%
574381	1	0.5%

금강고속.1
Text

Distinct	190
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	10
Median length	9
Mean length	3.5477387
Min length	2

Characters and Unicode

Total characters	706
Distinct characters	196
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	181 ?
Unique (%)	91.0%

Sample

1st row	전곡
2nd row	장풍리
3rd row	북삼송
4th row	풍림
5th row	송내한전

Value	Count	Frequency (%)
검찰청입구	2	1.0%
범계	2	1.0%
이천	2	1.0%
삼성	2	1.0%
안산	2	1.0%
여주	2	1.0%
명지대	2	1.0%
수원	2	1.0%
중앙대	2	1.0%
고양시장	1	0.5%
Other values (181)	181	90.5%

Most occurring characters

Value	Count	Frequency (%)
리	35	5.0%
대	23	3.3%
동	19	2.7%
지	16	2.3%
고	11	1.6%
성	11	1.6%
시	11	1.6%
원	11	1.6%
산	11	1.6%
천	11	1.6%
Other values (186)	547	77.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	677	95.9%
Decimal Number	20	2.8%
Uppercase Letter	6	0.8%
Other Punctuation	2	0.3%
Space Separator	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
리	35	5.2%
대	23	3.4%
동	19	2.8%
지	16	2.4%
고	11	1.6%
성	11	1.6%
시	11	1.6%
원	11	1.6%
산	11	1.6%
천	11	1.6%
Other values (174)	518	76.5%

Decimal Number

Value	Count	Frequency (%)
2	7	35.0%
3	5	25.0%
1	5	25.0%
4	2	10.0%
6	1	5.0%

Uppercase Letter

Value	Count	Frequency (%)
A	2	33.3%
T	1	16.7%
P	1	16.7%
S	1	16.7%
G	1	16.7%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	677	95.9%
Common	23	3.3%
Latin	6	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
리	35	5.2%
대	23	3.4%
동	19	2.8%
지	16	2.4%
고	11	1.6%
성	11	1.6%
시	11	1.6%
원	11	1.6%
산	11	1.6%
천	11	1.6%
Other values (174)	518	76.5%

Common

Value	Count	Frequency (%)
2	7	30.4%
3	5	21.7%
1	5	21.7%
4	2	8.7%
.	2	8.7%
	1	4.3%
6	1	4.3%

Latin

Value	Count	Frequency (%)
A	2	33.3%
T	1	16.7%
P	1	16.7%
S	1	16.7%
G	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	677	95.9%
ASCII	29	4.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
리	35	5.2%
대	23	3.4%
동	19	2.8%
지	16	2.4%
고	11	1.6%
성	11	1.6%
시	11	1.6%
원	11	1.6%
산	11	1.6%
천	11	1.6%
Other values (174)	518	76.5%

ASCII

Value	Count	Frequency (%)
2	7	24.1%
3	5	17.2%
1	5	17.2%
A	2	6.9%
4	2	6.9%
.	2	6.9%
T	1	3.4%
P	1	3.4%
S	1	3.4%
G	1	3.4%
Other values (2)	2	6.9%

4131010400102850023012223
Text

Distinct	120
Distinct (%)	60.3%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	25
Median length	25
Mean length	16.437186
Min length	1

Characters and Unicode

Total characters	3271
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	112 ?
Unique (%)	56.3%

Sample

1st row	4180025321104740002002187
2nd row	X
3rd row	4128110300100470015000001
4th row	4113510500102550001040021
5th row	4119510400101850148000001

Value	Count	Frequency (%)
x	71	35.7%
4155035031200830010000001	3	1.5%
4111313700111890000027851	3	1.5%
4150031029103630005044904	2	1.0%
4143010100102830005007260	2	1.0%
4173025022102740003027154	2	1.0%
4150010300102190001009725	2	1.0%
4121010600101710001000001	2	1.0%
4165025021101660004013939	1	0.5%
4161025633102740011254118	1	0.5%
Other values (110)	110	55.3%

Most occurring characters

Value	Count	Frequency (%)
0	1166	35.6%
1	641	19.6%
4	293	9.0%
2	271	8.3%
3	218	6.7%
5	166	5.1%
7	122	3.7%
8	118	3.6%
6	113	3.5%
9	92	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3200	97.8%
Uppercase Letter	71	2.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1166	36.4%
1	641	20.0%
4	293	9.2%
2	271	8.5%
3	218	6.8%
5	166	5.2%
7	122	3.8%
8	118	3.7%
6	113	3.5%
9	92	2.9%

Uppercase Letter

Value	Count	Frequency (%)
X	71	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3200	97.8%
Latin	71	2.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1166	36.4%
1	641	20.0%
4	293	9.2%
2	271	8.5%
3	218	6.8%
5	166	5.2%
7	122	3.8%
8	118	3.7%
6	113	3.5%
9	92	2.9%

Latin

Value	Count	Frequency (%)
X	71	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3271	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1166	35.6%
1	641	19.6%
4	293	9.0%
2	271	8.3%
3	218	6.7%
5	166	5.1%
7	122	3.7%
8	118	3.6%
6	113	3.5%
9	92	2.8%

Phik (φk)
Auto

Heatmap
Table

	520118	시외	4131010400003540002	323227	555559
520118	1.000	0.000	0.588	0.604	0.581
시외	0.000	1.000	0.000	0.000	0.000
4131010400003540002	0.588	0.000	1.000	0.774	0.817
323227	0.604	0.000	0.774	1.000	0.455
555559	0.581	0.000	0.817	0.455	1.000

Heatmap
Table

	520118	4131010400003540002	323227	555559	시외
520118	1.000	0.074	-0.022	0.089	0.000
4131010400003540002	0.074	1.000	0.701	0.157	0.000
323227	-0.022	0.701	1.000	-0.111	0.011
555559	0.089	0.157	-0.111	1.000	0.000
시외	0.000	0.000	0.011	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

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

First rows
Last rows

	E02639	금강고속	경기도 구리시 교문동 354-2번지	경기도 구리시 아차산로487번길 34	520118	시외	경기 구리시 교문동 354-2	4131010400003540002	1	323227	555559	금강고속.1	4131010400102850023012223
0	E02338	전곡	경기도 연천군 전곡읍 전곡리 474-2번지	경기도 연천군 전곡읍 온골로 49	302503	시외	경기 연천군 전곡읍 온골로 49	4180025321004740002	1	318341	602909	전곡	4180025321104740002002187
1	E02344	장풍리(시내)	경기도 여주시 대신면 장풍리 165-5번지	X	7525	시외	경기 여주시 대신면 장풍리 165-5	4167035027001650005	1	367192	531888	장풍리	X
2	E02541	북삼송	경기도 고양시 덕양구 신원동 613번지	경기도 고양시 덕양구 오금로 7	407618	시외	경기 고양시 덕양구 신원동 613	4128110300006130000	1	302555	562968	북삼송	4128110300100470015000001
3	E02275	풍림	경기도 성남시 분당구 서현동 255-1번지	경기도 성남시 분당구 서현로 170	350517	시외	경기 성남시 분당구 서현동 255-1	4113510500002550001	1	322495	532244	풍림	4113510500102550001040021
4	E02490	송내한전	경기도 부천시 도당동 185-148번지	경기도 부천시 부천로264번길 4	137443	시외	경기 부천시 원미구 도당동 185-148	4119010400001850148	1	292897	545680	송내한전	4119510400101850148000001
5	E02713	2동	경기도 안양시 동안구 관양동 1562번지	X	134971	시외	경기 안양시 동안구 관양동 1562	4117310200015620000	1	309091	533999	2동	X
6	E02423	에스케이하이닉스	경기도 이천시 부발읍 아미리 산136-1번지	경기도 이천시 부발읍 경충대로 2091-1	433060	시외	경기 이천시 부발읍 아미리 산136-1	4150025330101360001	1	354882	516494	에스케이하이닉스	4150025330107020000028848
7	E02313	지산한빛마을	경기도 파주시 와동동 1364번지	X	406319	시외	경기 파주시 와동동 1364	4148012200013640000	1	290128	570064	지산한빛마을	X
8	E02699	객사리	경기도 평택시 팽성읍 객사리 93번지	경기도 평택시 팽성읍 동서촌로 123	440645	시외	경기 평택시 팽성읍 동서촌로 123	4122025021000930000	1	316956	485246	객사리	4122025021100920007228404
9	E02590	동아대	경기도 안성시 삼죽면 진촌리 632-18번지	경기도 안성시 삼죽면 동아예대길 47	511318	시외	경기 안성시 삼죽면 진촌리 632-18	4155041027006320018	1	342681	495830	동아대	4155041026105630003011174

	E02639	금강고속	경기도 구리시 교문동 354-2번지	경기도 구리시 아차산로487번길 34	520118	시외	경기 구리시 교문동 354-2	4131010400003540002	1	323227	555559	금강고속.1	4131010400102850023012223
189	E02409	오정동	경기도 부천시 오정동 110-2번지	X	416373	시외	경기 부천시 오정구 오정동 110-2	4119011700001100002	1	293136	548379	오정동	X
190	E00109	고양(화정)	경기도 고양시 덕양구 화정동 974번지	경기도 고양시 덕양구 화신로260번길 74	282594	고속	고양시 덕양구 화정동 974	4128112300009740000	1	297255	559741	고양	4128112300109740000012887
191	E02591	동백지구	경기도 부천시 내동 222-43번지	경기도 부천시 신흥로 475	417131	시외	경기 부천시 오정구 내동 222-43	4119012400002220043	1	292155	547750	동백지구	4119910800102220053044478
192	E02295	킨텍스	경기도 고양시 일산서구 대화동 2607번지	X	508300	시외	경기도 고양시 일산서구 대화동 2607	4128710400026070000	1	289720	563388	킨텍스	X
193	E02256	행정타운.용인대	경기도 용인시 처인구 역북동 365-75번지	X	169153	시외	경기 용인시 처인구 역북동 365-75	4146110200003650075	1	327420	515469	행정타운.용인대	X
194	E02468	시흥관광호텔	경기도 시흥시 정왕동 1622-6번지	경기도 시흥시 평안상가4길 21	299314	시외	경기 시흥시 평안상가4길 21	4139013200016220006	1	289415	526932	시흥관광호텔	4139013200116220006036699
195	E02426	어현(현곡)	경기도 평택시 청북읍 현곡리 293-4번지	경기도 평택시 청북읍 청원로 2	142198	시외	경기 평택시 청북면 청원로 2	4122025921002930004	1	305417	493694	어현	4122035021102930003232953
196	E02361	이동	경기도 포천시 이동면 장암리 527번지	X	32477	시외	경기 포천시 이동면 장암리 527	4165038021005270000	1	345118	603911	이동	X
197	E02704	가평	경기도 가평군 가평읍 대곡리 168-9번지	경기도 가평군 가평읍 가화로 51	403433	시외	경기 가평군 가평읍 가화로 51	4182025022001680009	1	357539	580335	가평	4182025022101680009005294
198	E02516	서화	경기도 양평군 양동면 단석리 산255-10번지	X	7582	시외	경기 양평군 양동면 단석리 산 255-10	4183038028102550010	1	375011	533108	서화	X

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

Decimal Number

Uppercase Letter

Open Punctuation

Close Punctuation

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

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

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

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Lowercase Letter

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts