gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	8075
Missing cells	15
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	812.4 KiB
Average record size in memory	103.0 B

Variable types

Numeric	7
Text	5

Dataset

Description	파일 다운로드
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-15262/S/1/datasetView.do

Alerts

`ROUTE_ID` is highly overall correlated with `ROUTE_TY` and 1 other fields	High correlation
`DSTNC` is highly overall correlated with `FIRCAR_TM` and 1 other fields	High correlation
`ROUTE_TY` is highly overall correlated with `ROUTE_ID`	High correlation
`FIRCAR_TM` is highly overall correlated with `ROUTE_ID` and 1 other fields	High correlation
`LSTCAR_TM` is highly overall correlated with `DSTNC`	High correlation

Reproduction

Analysis started	2024-05-11 06:16:44.024039
Analysis finished	2024-05-11 06:16:56.088175
Duration	12.06 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

STDR_DE
Real number (ℝ)

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20230654

Minimum	20230101
Maximum	20231201
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.1 KiB

Quantile statistics

Minimum	20230101
5-th percentile	20230101
Q1	20230401
median	20230701
Q3	20231001
95-th percentile	20231201
Maximum	20231201
Range	1100
Interquartile range (IQR)	600

Descriptive statistics

Standard deviation	345.08993
Coefficient of variation (CV)	1.7057775 × 10^-5
Kurtosis	-1.2154818
Mean	20230654
Median Absolute Deviation (MAD)	300
Skewness	-0.0087972035
Sum	1.6336253 × 10¹¹
Variance	119087.06
Monotonicity	Increasing

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
20231201	682	8.4%
20231001	678	8.4%
20231101	678	8.4%
20230901	677	8.4%
20230701	675	8.4%
20230601	674	8.3%
20230501	673	8.3%
20230801	673	8.3%
20230401	669	8.3%
20230301	667	8.3%
Other values (2)	1329	16.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20230101	663	8.2%
20230201	666	8.2%
20230301	667	8.3%
20230401	669	8.3%
20230501	673	8.3%
20230601	674	8.3%
20230701	675	8.4%
20230801	673	8.3%
20230901	677	8.4%
20231001	678	8.4%

Value	Count	Frequency (%)
20231201	682	8.4%
20231101	678	8.4%
20231001	678	8.4%
20230901	677	8.4%
20230801	673	8.3%
20230701	675	8.4%
20230601	674	8.3%
20230501	673	8.3%
20230401	669	8.3%
20230301	667	8.3%

ROUTE_ID
Real number (ℝ)

HIGH CORRELATION

Distinct	694
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0641136 × 10⁸

Minimum	1.0000002 × 10⁸
Maximum	1.249 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.1 KiB

Quantile statistics

Minimum	1.0000002 × 10⁸
5-th percentile	1.0010004 × 10⁸
Q1	1.0010024 × 10⁸
median	1.0010059 × 10⁸
Q3	1.1290001 × 10⁸
95-th percentile	1.2190002 × 10⁸
Maximum	1.249 × 10⁸
Range	24899986
Interquartile range (IQR)	12799776

Descriptive statistics

Standard deviation	8114419.6
Coefficient of variation (CV)	0.076255204
Kurtosis	-0.80504771
Mean	1.0641136 × 10⁸
Median Absolute Deviation (MAD)	561
Skewness	0.85247929
Sum	8.592717 × 10¹¹
Variance	6.5843805 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100100124	12	0.1%
120900002	12	0.1%
108900001	12	0.1%
108900012	12	0.1%
115900006	12	0.1%
115900003	12	0.1%
115900004	12	0.1%
115900001	12	0.1%
115900005	12	0.1%
115900008	12	0.1%
Other values (684)	7955	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100000017	12	0.1%
100000018	12	0.1%
100000020	11	0.1%
100100001	12	0.1%
100100006	12	0.1%
100100007	12	0.1%
100100008	12	0.1%
100100009	12	0.1%
100100010	12	0.1%
100100011	12	0.1%

Value	Count	Frequency (%)
124900003	12	0.1%
124900002	12	0.1%
124900001	12	0.1%
124000039	12	0.1%
124000038	12	0.1%
124000036	12	0.1%
124000016	9	0.1%
124000015	9	0.1%
124000014	8	0.1%
124000013	12	0.1%

ROUTE_NM
Text

Distinct	699
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Memory size	63.2 KiB

Length

Max length	12
Median length	4
Mean length	3.9611146
Min length	2

Characters and Unicode

Total characters	31986
Distinct characters	78
Distinct categories	6 ?
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	10 ?
Unique (%)	0.1%

Sample

1st row	0017
2nd row	01
3rd row	0411
4th row	100
5th row	101

Value	Count	Frequency (%)
0017	12	0.1%
관악08	12	0.1%
강북10	12	0.1%
강서05-1	12	0.1%
강북11	12	0.1%
강북12	12	0.1%
강서01	12	0.1%
강서02	12	0.1%
강서03	12	0.1%
강서04	12	0.1%
Other values (689)	7955	98.5%

Most occurring characters

Value	Count	Frequency (%)
1	5346	16.7%
0	4462	13.9%
2	2913	9.1%
6	2558	8.0%
3	2190	6.8%
7	1990	6.2%
5	1931	6.0%
4	1844	5.8%
8	701	2.2%
서	564	1.8%
Other values (68)	7487	23.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24430	76.4%
Other Letter	6703	21.0%
Uppercase Letter	663	2.1%
Dash Punctuation	168	0.5%
Close Punctuation	11	< 0.1%
Open Punctuation	11	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	564	8.4%
동	486	7.3%
강	384	5.7%
성	373	5.6%
포	372	5.5%
북	355	5.3%
대	311	4.6%
로	292	4.4%
작	252	3.8%
문	252	3.8%
Other values (48)	3062	45.7%

Decimal Number

Value	Count	Frequency (%)
1	5346	21.9%
0	4462	18.3%
2	2913	11.9%
6	2558	10.5%
3	2190	9.0%
7	1990	8.1%
5	1931	7.9%
4	1844	7.5%
8	701	2.9%
9	495	2.0%

Uppercase Letter

Value	Count	Frequency (%)
N	209	31.5%
A	89	13.4%
B	77	11.6%
R	72	10.9%
U	72	10.9%
O	72	10.9%
T	72	10.9%

Dash Punctuation

Value	Count	Frequency (%)
-	168	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	24620	77.0%
Hangul	6703	21.0%
Latin	663	2.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	564	8.4%
동	486	7.3%
강	384	5.7%
성	373	5.6%
포	372	5.5%
북	355	5.3%
대	311	4.6%
로	292	4.4%
작	252	3.8%
문	252	3.8%
Other values (48)	3062	45.7%

Common

Value	Count	Frequency (%)
1	5346	21.7%
0	4462	18.1%
2	2913	11.8%
6	2558	10.4%
3	2190	8.9%
7	1990	8.1%
5	1931	7.8%
4	1844	7.5%
8	701	2.8%
9	495	2.0%
Other values (3)	190	0.8%

Latin

Value	Count	Frequency (%)
N	209	31.5%
A	89	13.4%
B	77	11.6%
R	72	10.9%
U	72	10.9%
O	72	10.9%
T	72	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25283	79.0%
Hangul	6703	21.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5346	21.1%
0	4462	17.6%
2	2913	11.5%
6	2558	10.1%
3	2190	8.7%
7	1990	7.9%
5	1931	7.6%
4	1844	7.3%
8	701	2.8%
9	495	2.0%
Other values (10)	853	3.4%

Hangul

Value	Count	Frequency (%)
서	564	8.4%
동	486	7.3%
강	384	5.7%
성	373	5.6%
포	372	5.5%
북	355	5.3%
대	311	4.6%
로	292	4.4%
작	252	3.8%
문	252	3.8%
Other values (48)	3062	45.7%

ROUTE_ABRV
Text

Distinct	699
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Memory size	63.2 KiB

Length

Max length	6
Median length	4
Mean length	3.8579567
Min length	2

Characters and Unicode

Total characters	31153
Distinct characters	59
Distinct categories	4 ?
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	10 ?
Unique (%)	0.1%

Sample

1st row	0017
2nd row	01
3rd row	0411
4th row	100
5th row	101

Value	Count	Frequency (%)
0017	12	0.1%
관악08	12	0.1%
강북10	12	0.1%
강서5-1	12	0.1%
강북11	12	0.1%
강북12	12	0.1%
강서01	12	0.1%
강서02	12	0.1%
강서03	12	0.1%
강서04	12	0.1%
Other values (689)	7955	98.5%

Most occurring characters

Value	Count	Frequency (%)
1	5346	17.2%
0	4318	13.9%
2	2913	9.4%
6	2558	8.2%
3	2190	7.0%
7	1990	6.4%
5	1931	6.2%
4	1844	5.9%
8	701	2.3%
서	552	1.8%
Other values (49)	6810	21.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24286	78.0%
Other Letter	6036	19.4%
Uppercase Letter	663	2.1%
Dash Punctuation	168	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	552	9.1%
동	486	8.1%
강	384	6.4%
성	373	6.2%
북	355	5.9%
로	292	4.8%
대	276	4.6%
작	252	4.2%
초	240	4.0%
포	216	3.6%
Other values (31)	2610	43.2%

Decimal Number

Value	Count	Frequency (%)
1	5346	22.0%
0	4318	17.8%
2	2913	12.0%
6	2558	10.5%
3	2190	9.0%
7	1990	8.2%
5	1931	8.0%
4	1844	7.6%
8	701	2.9%
9	495	2.0%

Uppercase Letter

Value	Count	Frequency (%)
N	209	31.5%
A	89	13.4%
B	77	11.6%
U	72	10.9%
O	72	10.9%
R	72	10.9%
T	72	10.9%

Dash Punctuation

Value	Count	Frequency (%)
-	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	24454	78.5%
Hangul	6036	19.4%
Latin	663	2.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	552	9.1%
동	486	8.1%
강	384	6.4%
성	373	6.2%
북	355	5.9%
로	292	4.8%
대	276	4.6%
작	252	4.2%
초	240	4.0%
포	216	3.6%
Other values (31)	2610	43.2%

Common

Value	Count	Frequency (%)
1	5346	21.9%
0	4318	17.7%
2	2913	11.9%
6	2558	10.5%
3	2190	9.0%
7	1990	8.1%
5	1931	7.9%
4	1844	7.5%
8	701	2.9%
9	495	2.0%

Latin

Value	Count	Frequency (%)
N	209	31.5%
A	89	13.4%
B	77	11.6%
U	72	10.9%
O	72	10.9%
R	72	10.9%
T	72	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25117	80.6%
Hangul	6036	19.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5346	21.3%
0	4318	17.2%
2	2913	11.6%
6	2558	10.2%
3	2190	8.7%
7	1990	7.9%
5	1931	7.7%
4	1844	7.3%
8	701	2.8%
9	495	2.0%
Other values (8)	831	3.3%

Hangul

Value	Count	Frequency (%)
서	552	9.1%
동	486	8.1%
강	384	6.4%
성	373	6.2%
북	355	5.9%
로	292	4.8%
대	276	4.6%
작	252	4.2%
초	240	4.0%
포	216	3.6%
Other values (31)	2610	43.2%

DSTNC
Real number (ℝ)

HIGH CORRELATION

Distinct	488
Distinct (%)	6.1%
Missing	14
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	32.454641

Minimum	1.2
Maximum	220
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.1 KiB

Quantile statistics

Minimum	1.2
5-th percentile	4
Q1	8.72
median	23.4
Q3	45
95-th percentile	85.9
Maximum	220
Range	218.8
Interquartile range (IQR)	36.28

Descriptive statistics

Standard deviation	34.832349
Coefficient of variation (CV)	1.0732625
Kurtosis	7.9392709
Mean	32.454641
Median Absolute Deviation (MAD)	15.8
Skewness	2.5627973
Sum	261616.86
Variance	1213.2925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.0	116	1.4%
12.0	82	1.0%
13.0	79	1.0%
7.2	72	0.9%
5.5	69	0.9%
39.0	66	0.8%
7.5	63	0.8%
13.3	60	0.7%
4.8	57	0.7%
7.8	57	0.7%
Other values (478)	7340	90.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.2	12	0.1%
1.6	12	0.1%
1.8	6	0.1%
1.9	3	< 0.1%
2.0	9	0.1%
2.1	24	0.3%
2.4	3	< 0.1%
2.5	10	0.1%
2.6	44	0.5%
2.7	9	0.1%

Value	Count	Frequency (%)
220.0	7	0.1%
204.4	11	0.1%
204.0	1	< 0.1%
201.4	12	0.1%
196.0	12	0.1%
193.0	10	0.1%
190.0	6	0.1%
188.0	13	0.2%
187.6	12	0.1%
184.0	24	0.3%

ROUTE_TY
Real number (ℝ)

HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0022291

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	71.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	13
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2833589
Coefficient of variation (CV)	0.42746869
Kurtosis	11.401701
Mean	3.0022291
Median Absolute Deviation (MAD)	1
Skewness	2.1511805
Sum	24243
Variance	1.6470101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	2970	36.8%
4	2745	34.0%
3	1716	21.3%
1	406	5.0%
6	123	1.5%
10	72	0.9%
5	31	0.4%
13	12	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	406	5.0%
2	2970	36.8%
3	1716	21.3%
4	2745	34.0%
5	31	0.4%
6	123	1.5%
10	72	0.9%
13	12	0.1%

Value	Count	Frequency (%)
13	12	0.1%
10	72	0.9%
6	123	1.5%
5	31	0.4%
4	2745	34.0%
3	1716	21.3%
2	2970	36.8%
1	406	5.0%

SSTTN_NM
Text

Distinct	461
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Memory size	63.2 KiB

Length

Max length	14
Median length	12
Mean length	5.2144892
Min length	2

Characters and Unicode

Total characters	42107
Distinct characters	316
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	10 ?
Unique (%)	0.1%

Sample

1st row	청암동
2nd row	예장주차장
3rd row	용산차고지
4th row	하계동
5th row	우이동

Value	Count	Frequency (%)
양천공영차고지	216	2.7%
복정역환승센터	168	2.1%
은평차고지	156	1.9%
중랑공영차고지	138	1.7%
인천공항	137	1.7%
장지공영차고지	120	1.5%
우이동	120	1.5%
진관공영차고지	108	1.3%
강동공영차고지	96	1.2%
정릉	84	1.0%
Other values (451)	6732	83.4%

Most occurring characters

Value	Count	Frequency (%)
동	2734	6.5%
지	2219	5.3%
고	1846	4.4%
차	1770	4.2%
공	1358	3.2%
역	1290	3.1%
영	1037	2.5%
아	734	1.7%
파	723	1.7%
산	706	1.7%
Other values (306)	27690	65.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	40633	96.5%
Decimal Number	815	1.9%
Uppercase Letter	289	0.7%
Other Punctuation	262	0.6%
Open Punctuation	48	0.1%
Close Punctuation	48	0.1%
Lowercase Letter	12	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	2734	6.7%
지	2219	5.5%
고	1846	4.5%
차	1770	4.4%
공	1358	3.3%
역	1290	3.2%
영	1037	2.6%
아	734	1.8%
파	723	1.8%
산	706	1.7%
Other values (282)	26216	64.5%

Uppercase Letter

Value	Count	Frequency (%)
T	87	30.1%
L	41	14.2%
H	32	11.1%
A	30	10.4%
P	30	10.4%
K	21	7.3%
C	18	6.2%
E	12	4.2%
S	9	3.1%
G	9	3.1%

Decimal Number

Value	Count	Frequency (%)
1	225	27.6%
2	159	19.5%
7	128	15.7%
4	72	8.8%
3	69	8.5%
5	63	7.7%
6	51	6.3%
8	24	2.9%
0	24	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	259	98.9%
,	3	1.1%

Open Punctuation

Value	Count	Frequency (%)
(	48	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	48	100.0%

Lowercase Letter

Value	Count	Frequency (%)
e	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	40633	96.5%
Common	1173	2.8%
Latin	301	0.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	2734	6.7%
지	2219	5.5%
고	1846	4.5%
차	1770	4.4%
공	1358	3.3%
역	1290	3.2%
영	1037	2.6%
아	734	1.8%
파	723	1.8%
산	706	1.7%
Other values (282)	26216	64.5%

Common

Value	Count	Frequency (%)
.	259	22.1%
1	225	19.2%
2	159	13.6%
7	128	10.9%
4	72	6.1%
3	69	5.9%
5	63	5.4%
6	51	4.3%
(	48	4.1%
)	48	4.1%
Other values (3)	51	4.3%

Latin

Value	Count	Frequency (%)
T	87	28.9%
L	41	13.6%
H	32	10.6%
A	30	10.0%
P	30	10.0%
K	21	7.0%
C	18	6.0%
e	12	4.0%
E	12	4.0%
S	9	3.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	40633	96.5%
ASCII	1474	3.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	2734	6.7%
지	2219	5.5%
고	1846	4.5%
차	1770	4.4%
공	1358	3.3%
역	1290	3.2%
영	1037	2.6%
아	734	1.8%
파	723	1.8%
산	706	1.7%
Other values (282)	26216	64.5%

ASCII

Value	Count	Frequency (%)
.	259	17.6%
1	225	15.3%
2	159	10.8%
7	128	8.7%
T	87	5.9%
4	72	4.9%
3	69	4.7%
5	63	4.3%
6	51	3.5%
(	48	3.3%
Other values (14)	313	21.2%

ESTTN_NM
Text

Distinct	455
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Memory size	63.2 KiB

Length

Max length	17
Median length	16
Mean length	4.5648297
Min length	2

Characters and Unicode

Total characters	36861
Distinct characters	305
Distinct categories	6 ?
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	이촌동
2nd row	예장주차장
3rd row	AT센터.양재꽃시장
4th row	용산구청
5th row	서소문

Value	Count	Frequency (%)
인천공항	170	2.1%
서울역	155	1.9%
강남역	145	1.8%
여의도	143	1.8%
석계역	106	1.3%
홍대입구역	96	1.2%
양재역	96	1.2%
대방역	87	1.1%
구로디지털단지역	84	1.0%
수유역	84	1.0%
Other values (445)	6909	85.6%

Most occurring characters

Value	Count	Frequency (%)
역	3691	10.0%
동	1386	3.8%
대	1212	3.3%
구	912	2.5%
서	658	1.8%
지	652	1.8%
신	618	1.7%
문	548	1.5%
리	518	1.4%
아	495	1.3%
Other values (295)	26171	71.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	35832	97.2%
Decimal Number	420	1.1%
Other Punctuation	254	0.7%
Uppercase Letter	225	0.6%
Open Punctuation	65	0.2%
Close Punctuation	65	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
역	3691	10.3%
동	1386	3.9%
대	1212	3.4%
구	912	2.5%
서	658	1.8%
지	652	1.8%
신	618	1.7%
문	548	1.5%
리	518	1.4%
아	495	1.4%
Other values (271)	25142	70.2%

Uppercase Letter

Value	Count	Frequency (%)
A	48	21.3%
T	33	14.7%
C	30	13.3%
Y	24	10.7%
M	24	10.7%
D	14	6.2%
G	12	5.3%
S	12	5.3%
H	9	4.0%
L	9	4.0%
Other values (2)	10	4.4%

Decimal Number

Value	Count	Frequency (%)
2	90	21.4%
7	72	17.1%
1	66	15.7%
3	54	12.9%
5	39	9.3%
6	36	8.6%
4	27	6.4%
9	24	5.7%
8	12	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	254	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	65	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	65	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	35832	97.2%
Common	804	2.2%
Latin	225	0.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
역	3691	10.3%
동	1386	3.9%
대	1212	3.4%
구	912	2.5%
서	658	1.8%
지	652	1.8%
신	618	1.7%
문	548	1.5%
리	518	1.4%
아	495	1.4%
Other values (271)	25142	70.2%

Common

Value	Count	Frequency (%)
.	254	31.6%
2	90	11.2%
7	72	9.0%
1	66	8.2%
(	65	8.1%
)	65	8.1%
3	54	6.7%
5	39	4.9%
6	36	4.5%
4	27	3.4%
Other values (2)	36	4.5%

Latin

Value	Count	Frequency (%)
A	48	21.3%
T	33	14.7%
C	30	13.3%
Y	24	10.7%
M	24	10.7%
D	14	6.2%
G	12	5.3%
S	12	5.3%
H	9	4.0%
L	9	4.0%
Other values (2)	10	4.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	35832	97.2%
ASCII	1029	2.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
역	3691	10.3%
동	1386	3.9%
대	1212	3.4%
구	912	2.5%
서	658	1.8%
지	652	1.8%
신	618	1.7%
문	548	1.5%
리	518	1.4%
아	495	1.4%
Other values (271)	25142	70.2%

ASCII

Value	Count	Frequency (%)
.	254	24.7%
2	90	8.7%
7	72	7.0%
1	66	6.4%
(	65	6.3%
)	65	6.3%
3	54	5.2%
A	48	4.7%
5	39	3.8%
6	36	3.5%
Other values (14)	240	23.3%

CARALC
Real number (ℝ)

Distinct	60
Distinct (%)	0.7%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	16.03567

Minimum	0
Maximum	340
Zeros	20
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	71.1 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	9
median	12
Q3	16
95-th percentile	35
Maximum	340
Range	340
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	19.711218
Coefficient of variation (CV)	1.2292107
Kurtosis	90.071241
Mean	16.03567
Median Absolute Deviation (MAD)	3
Skewness	8.3367337
Sum	129472
Variance	388.53211
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	841	10.4%
8	723	9.0%
10	686	8.5%
12	676	8.4%
9	598	7.4%
15	556	6.9%
14	538	6.7%
13	463	5.7%
7	431	5.3%
16	289	3.6%
Other values (50)	2273	28.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	20	0.2%
4	34	0.4%
5	91	1.1%
6	278	3.4%
7	431	5.3%
8	723	9.0%
9	598	7.4%
10	686	8.5%
11	841	10.4%
12	676	8.4%

Value	Count	Frequency (%)
340	2	< 0.1%
300	3	< 0.1%
250	1	< 0.1%
245	7	0.1%
240	7	0.1%
220	3	< 0.1%
210	2	< 0.1%
200	11	0.1%
190	4	< 0.1%
170	2	< 0.1%

FIRCAR_TM
Real number (ℝ)

HIGH CORRELATION

Distinct	62
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.020878576

Minimum	-1.235
Maximum	0.234
Zeros	33
Zeros (%)	0.4%
Negative	180
Negative (%)	2.2%
Memory size	71.1 KiB

Quantile statistics

Minimum	-1.235
5-th percentile	0.04
Q1	0.041
median	0.044
Q3	0.055
95-th percentile	0.06
Maximum	0.234
Range	1.469
Interquartile range (IQR)	0.014

Descriptive statistics

Standard deviation	0.18973109
Coefficient of variation (CV)	9.0873577
Kurtosis	39.546511
Mean	0.020878576
Median Absolute Deviation (MAD)	0.006
Skewness	-6.4284335
Sum	168.5945
Variance	0.035997885
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.06	1457	18.0%
0.043	1230	15.2%
0.04	1229	15.2%
0.05	498	6.2%
0.042	487	6.0%
0.053	451	5.6%
0.055	361	4.5%
0.041	348	4.3%
0.052	186	2.3%
0.054	165	2.0%
Other values (52)	1663	20.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.235	27	0.3%
-1.234	48	0.6%
-1.2335	9	0.1%
-1.233	55	0.7%
-1.232	7	0.1%
-1.231	15	0.2%
-1.23	14	0.2%
-1.224	5	0.1%
0.0	33	0.4%
0.032	4	< 0.1%

Value	Count	Frequency (%)
0.234	2	< 0.1%
0.224	2	< 0.1%
0.193	12	0.1%
0.133	3	< 0.1%
0.103	12	0.1%
0.101	12	0.1%
0.1	27	0.3%
0.093	12	0.1%
0.09	44	0.5%
0.08	12	0.1%

LSTCAR_TM
Real number (ℝ)

HIGH CORRELATION

Distinct	120
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.28638781

Minimum	0
Maximum	1.03
Zeros	7
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	71.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.1705
Q1	0.224
median	0.23
Q3	0.233
95-th percentile	1
Maximum	1.03
Range	1.03
Interquartile range (IQR)	0.009

Descriptive statistics

Standard deviation	0.2236323
Coefficient of variation (CV)	0.78087227
Kurtosis	6.1263739
Mean	0.28638781
Median Absolute Deviation (MAD)	0.005
Skewness	2.7620593
Sum	2312.5816
Variance	0.050011406
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.23	1016	12.6%
0.233	881	10.9%
0.223	621	7.7%
0.225	514	6.4%
0.224	476	5.9%
0.231	439	5.4%
0.234	434	5.4%
0.232	406	5.0%
1.0	356	4.4%
0.235	323	4.0%
Other values (110)	2609	32.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	7	0.1%
0.0115	2	< 0.1%
0.012	1	< 0.1%
0.024	7	0.1%
0.025	2	< 0.1%
0.03	7	0.1%
0.031	24	0.3%
0.032	19	0.2%
0.0325	24	0.3%
0.033	24	0.3%

Value	Count	Frequency (%)
1.03	2	< 0.1%
1.012	2	< 0.1%
1.01	23	0.3%
1.003	45	0.6%
1.0025	3	< 0.1%
1.002	40	0.5%
1.0016	3	< 0.1%
1.0015	16	0.2%
1.001	120	1.5%
1.0008	25	0.3%

GROUP_NM
Text

Distinct	259
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	63.2 KiB

Length

Max length	29
Median length	5
Mean length	6.0272446
Min length	4

Characters and Unicode

Total characters	48670
Distinct characters	170
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	보광교통
2nd row	북부운수
3rd row	대원여객
4th row	한성여객
5th row	동아운수, 한성운수

Value	Count	Frequency (%)
선진운수	241	2.6%
공항리무진	214	2.4%
대진여객	192	2.1%
한남여객	180	2.0%
범일운수	180	2.0%
한성여객	167	1.8%
흥안운수	167	1.8%
한성운수	162	1.8%
북부운수	152	1.7%
대원여객	144	1.6%
Other values (198)	7307	80.2%

Most occurring characters

Value	Count	Frequency (%)
	9106	18.7%
운	4497	9.2%
수	4425	9.1%
교	1968	4.0%
통	1968	4.0%
진	1223	2.5%
성	1098	2.3%
객	1026	2.1%
여	995	2.0%
,	994	2.0%
Other values (160)	21370	43.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	38198	78.5%
Space Separator	9106	18.7%
Other Punctuation	994	2.0%
Uppercase Letter	288	0.6%
Decimal Number	84	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
운	4497	11.8%
수	4425	11.6%
교	1968	5.2%
통	1968	5.2%
진	1223	3.2%
성	1098	2.9%
객	1026	2.7%
여	995	2.6%
한	827	2.2%
신	720	1.9%
Other values (154)	19451	50.9%

Uppercase Letter

Value	Count	Frequency (%)
B	96	33.3%
R	96	33.3%
T	96	33.3%

Space Separator

Value	Count	Frequency (%)
	9106	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	994	100.0%

Decimal Number

Value	Count	Frequency (%)
3	84	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	38198	78.5%
Common	10184	20.9%
Latin	288	0.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
운	4497	11.8%
수	4425	11.6%
교	1968	5.2%
통	1968	5.2%
진	1223	3.2%
성	1098	2.9%
객	1026	2.7%
여	995	2.6%
한	827	2.2%
신	720	1.9%
Other values (154)	19451	50.9%

Common

Value	Count	Frequency (%)
	9106	89.4%
,	994	9.8%
3	84	0.8%

Latin

Value	Count	Frequency (%)
B	96	33.3%
R	96	33.3%
T	96	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	38198	78.5%
ASCII	10472	21.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	9106	87.0%
,	994	9.5%
B	96	0.9%
R	96	0.9%
T	96	0.9%
3	84	0.8%

Hangul

Value	Count	Frequency (%)
운	4497	11.8%
수	4425	11.6%
교	1968	5.2%
통	1968	5.2%
진	1223	3.2%
성	1098	2.9%
객	1026	2.7%
여	995	2.6%
한	827	2.2%
신	720	1.9%
Other values (154)	19451	50.9%

Phik (φk)
Auto

Heatmap
Table

	STDR_DE	ROUTE_ID	DSTNC	ROUTE_TY	CARALC	FIRCAR_TM	LSTCAR_TM
STDR_DE	1.000	0.000	0.000	0.000	0.000	0.000	0.000
ROUTE_ID	0.000	1.000	0.626	0.551	0.311	0.194	0.418
DSTNC	0.000	0.626	1.000	0.651	0.779	0.603	0.644
ROUTE_TY	0.000	0.551	0.651	1.000	0.262	0.663	0.449
CARALC	0.000	0.311	0.779	0.262	1.000	0.432	0.567
FIRCAR_TM	0.000	0.194	0.603	0.663	0.432	1.000	0.592
LSTCAR_TM	0.000	0.418	0.644	0.449	0.567	0.592	1.000

Heatmap
Table

	STDR_DE	ROUTE_ID	DSTNC	ROUTE_TY	CARALC	FIRCAR_TM	LSTCAR_TM
STDR_DE	1.000	0.012	0.016	-0.005	0.032	-0.014	-0.024
ROUTE_ID	0.012	1.000	-0.493	-0.587	0.200	0.573	0.230
DSTNC	0.016	-0.493	1.000	0.343	0.124	-0.799	-0.595
ROUTE_TY	-0.005	-0.587	0.343	1.000	-0.092	-0.366	-0.202
CARALC	0.032	0.200	0.124	-0.092	1.000	0.037	-0.211
FIRCAR_TM	-0.014	0.573	-0.799	-0.366	0.037	1.000	0.421
LSTCAR_TM	-0.024	0.230	-0.595	-0.202	-0.211	0.421	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

	STDR_DE	ROUTE_ID	ROUTE_NM	ROUTE_ABRV	DSTNC	ROUTE_TY	SSTTN_NM	ESTTN_NM	CARALC	FIRCAR_TM	LSTCAR_TM	GROUP_NM
0	20230101	100100124	0017	0017	12.2	4	청암동	이촌동	12	0.0515	0.233	보광교통
1	20230101	100100001	01	01	16.0	5	예장주차장	예장주차장	9	0.063	0.23	북부운수
2	20230101	104000012	0411	0411	44.3	4	용산차고지	AT센터.양재꽃시장	14	0.042	0.223	대원여객
3	20230101	100100549	100	100	57.09	3	하계동	용산구청	10	0.04	0.223	한성여객
4	20230101	100100006	101	101	37.81	3	우이동	서소문	10	0.04	0.23	동아운수, 한성운수
5	20230101	100100129	1014	1014	12.6	4	성북생태체험관	종로구민회관숭인동	8	0.05	0.234	대진여객
6	20230101	100100130	1017	1017	23.95	4	월계동	상왕십리	14	0.043	0.232	한성여객
7	20230101	100100007	102	102	30.2	3	상계주공7단지	동대문	11	0.04	0.231	삼화상운, 흥안운수
8	20230101	100100131	1020	1020	23.2	4	정릉	교보문고	9	0.043	0.232	대진여객
9	20230101	100100008	103	103	30.42	3	삼화상운	서울역	9	0.043	0.23	삼화상운

	STDR_DE	ROUTE_ID	ROUTE_NM	ROUTE_ABRV	DSTNC	ROUTE_TY	SSTTN_NM	ESTTN_NM	CARALC	FIRCAR_TM	LSTCAR_TM	GROUP_NM
8065	20231201	100900010	종로03	종로03	7.2	2	낙산공원	종로5가	9	0.06	0.234	종로운수
8066	20231201	100900011	종로05	종로05	5.0	2	서대문3번출구	종로문화센터	11	0.06	0.233	나경운수
8067	20231201	100900004	종로07	종로07	5.8	2	명륜새마을금고	명륜새마을금고	18	0.06	0.22	와룡운수
8068	20231201	100900005	종로08	종로08	6.8	2	명륜3가	종로5가	7	0.055	0.234	와룡운수
8069	20231201	100900003	종로09	종로09	6.4	2	수성동계곡	남대문	10	0.06	0.233	인왕교통
8070	20231201	100900007	종로11	종로11	8.6	2	삼청동	서울역	10	0.06	0.23	삼청교통
8071	20231201	100900009	종로12	종로12	5.4	2	서울대병원	종로3가	9	0.06	0.233	은수교통
8072	20231201	100900002	종로13	종로13	7.5	2	평창동주민센터	부암슈퍼	15	0.055	0.223	약수교통
8073	20231201	106900001	중랑01	중랑01	3.6	2	중화1동동아약국	신이문역	25	0.06	0.235	금창운수, 금창운수 월계점
8074	20231201	106900002	중랑02	중랑02	7.1	2	진로아파트	한신아파트	8	0.06	0.2315	중랑운수

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Dash Punctuation

Close Punctuation

Open Punctuation

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

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

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Open Punctuation

Close Punctuation

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Space Separator

Other Punctuation