gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	7752
Missing cells	6
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	779.9 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 `DSTNC` and 2 other fields	High correlation
`DSTNC` is highly overall correlated with `ROUTE_ID` and 2 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 06:17:08.754299
Analysis finished	2024-05-11 06:17:19.989163
Duration	11.23 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

STDR_DE
Real number (ℝ)

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20220656

Minimum	20220101
Maximum	20221201
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.3 KiB

Quantile statistics

Minimum	20220101
5-th percentile	20220101
Q1	20220401
median	20220701
Q3	20221001
95-th percentile	20221201
Maximum	20221201
Range	1100
Interquartile range (IQR)	600

Descriptive statistics

Standard deviation	345.20055
Coefficient of variation (CV)	1.7071679 × 10^-5
Kurtosis	-1.2156553
Mean	20220656
Median Absolute Deviation (MAD)	300
Skewness	-0.020482124
Sum	1.5675053 × 10¹¹
Variance	119163.42
Monotonicity	Increasing

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
20221201	659	8.5%
20221001	658	8.5%
20221101	658	8.5%
20220701	653	8.4%
20220901	653	8.4%
20220801	652	8.4%
20220601	642	8.3%
20220501	640	8.3%
20220401	635	8.2%
20220101	634	8.2%
Other values (2)	1268	16.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20220101	634	8.2%
20220201	634	8.2%
20220301	634	8.2%
20220401	635	8.2%
20220501	640	8.3%
20220601	642	8.3%
20220701	653	8.4%
20220801	652	8.4%
20220901	653	8.4%
20221001	658	8.5%

Value	Count	Frequency (%)
20221201	659	8.5%
20221101	658	8.5%
20221001	658	8.5%
20220901	653	8.4%
20220801	652	8.4%
20220701	653	8.4%
20220601	642	8.3%
20220501	640	8.3%
20220401	635	8.2%
20220301	634	8.2%

ROUTE_ID
Real number (ℝ)

HIGH CORRELATION

Distinct	665
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0616031 × 10⁸

Minimum	1.0000002 × 10⁸
Maximum	1.249 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.3 KiB

Quantile statistics

Minimum	1.0000002 × 10⁸
5-th percentile	1.0010004 × 10⁸
Q1	1.0010022 × 10⁸
median	1.0010058 × 10⁸
Q3	1.129 × 10⁸
95-th percentile	1.2190001 × 10⁸
Maximum	1.249 × 10⁸
Range	24899986
Interquartile range (IQR)	12799781

Descriptive statistics

Standard deviation	7935197.1
Coefficient of variation (CV)	0.074747304
Kurtosis	-0.72670248
Mean	1.0616031 × 10⁸
Median Absolute Deviation (MAD)	547.5
Skewness	0.89415443
Sum	8.2295474 × 10¹¹
Variance	6.2967353 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100100124	12	0.2%
120900007	12	0.2%
120900005	12	0.2%
120900008	12	0.2%
120900003	12	0.2%
120900009	12	0.2%
120900010	12	0.2%
120900004	12	0.2%
120900006	12	0.2%
120900002	12	0.2%
Other values (655)	7632	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100000017	12	0.2%
100000018	12	0.2%
100100001	12	0.2%
100100006	12	0.2%
100100007	12	0.2%
100100008	12	0.2%
100100009	12	0.2%
100100010	12	0.2%
100100011	12	0.2%
100100012	12	0.2%

Value	Count	Frequency (%)
124900003	12	0.2%
124900002	12	0.2%
124900001	12	0.2%
124000039	12	0.2%
124000038	12	0.2%
124000036	12	0.2%
124000013	6	0.1%
124000010	12	0.2%
124000008	12	0.2%
124000006	3	< 0.1%

ROUTE_NM
Text

Distinct	675
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	8
Median length	4
Mean length	3.9429825
Min length	2

Characters and Unicode

Total characters	30566
Distinct characters	65
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	0017
2nd row	01A
3rd row	01B
4th row	02
5th row	04

Value	Count	Frequency (%)
0017	12	0.2%
관악07	12	0.2%
구로01	12	0.2%
관악01	12	0.2%
관악02	12	0.2%
관악03	12	0.2%
관악04	12	0.2%
관악05	12	0.2%
관악06	12	0.2%
관악10	12	0.2%
Other values (665)	7632	98.5%

Most occurring characters

Value	Count	Frequency (%)
1	5137	16.8%
0	4043	13.2%
2	2859	9.4%
6	2284	7.5%
3	2136	7.0%
5	1928	6.3%
7	1892	6.2%
4	1823	6.0%
8	630	2.1%
서	552	1.8%
Other values (55)	7282	23.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23222	76.0%
Other Letter	6584	21.5%
Uppercase Letter	592	1.9%
Dash Punctuation	168	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	552	8.4%
동	492	7.5%
성	384	5.8%
강	384	5.8%
포	372	5.7%
북	360	5.5%
대	300	4.6%
로	298	4.5%
초	252	3.8%
작	252	3.8%
Other values (37)	2938	44.6%

Decimal Number

Value	Count	Frequency (%)
1	5137	22.1%
0	4043	17.4%
2	2859	12.3%
6	2284	9.8%
3	2136	9.2%
5	1928	8.3%
7	1892	8.1%
4	1823	7.9%
8	630	2.7%
9	490	2.1%

Uppercase Letter

Value	Count	Frequency (%)
N	148	25.0%
A	78	13.2%
B	78	13.2%
R	72	12.2%
T	72	12.2%
U	72	12.2%
O	72	12.2%

Dash Punctuation

Value	Count	Frequency (%)
-	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23390	76.5%
Hangul	6584	21.5%
Latin	592	1.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	552	8.4%
동	492	7.5%
성	384	5.8%
강	384	5.8%
포	372	5.7%
북	360	5.5%
대	300	4.6%
로	298	4.5%
초	252	3.8%
작	252	3.8%
Other values (37)	2938	44.6%

Common

Value	Count	Frequency (%)
1	5137	22.0%
0	4043	17.3%
2	2859	12.2%
6	2284	9.8%
3	2136	9.1%
5	1928	8.2%
7	1892	8.1%
4	1823	7.8%
8	630	2.7%
9	490	2.1%

Latin

Value	Count	Frequency (%)
N	148	25.0%
A	78	13.2%
B	78	13.2%
R	72	12.2%
T	72	12.2%
U	72	12.2%
O	72	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23982	78.5%
Hangul	6584	21.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5137	21.4%
0	4043	16.9%
2	2859	11.9%
6	2284	9.5%
3	2136	8.9%
5	1928	8.0%
7	1892	7.9%
4	1823	7.6%
8	630	2.6%
9	490	2.0%
Other values (8)	760	3.2%

Hangul

Value	Count	Frequency (%)
서	552	8.4%
동	492	7.5%
성	384	5.8%
강	384	5.8%
포	372	5.7%
북	360	5.5%
대	300	4.6%
로	298	4.5%
초	252	3.8%
작	252	3.8%
Other values (37)	2938	44.6%

ROUTE_ABRV
Text

Distinct	682
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	6
Median length	4
Mean length	3.8471362
Min length	2

Characters and Unicode

Total characters	29823
Distinct characters	53
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	0017
2nd row	01A
3rd row	01B
4th row	02
5th row	04

Value	Count	Frequency (%)
0017	12	0.2%
관악02	12	0.2%
강서04	12	0.2%
광진02	12	0.2%
강서05	12	0.2%
강서5-1	12	0.2%
강서06	12	0.2%
강서07	12	0.2%
관악01	12	0.2%
관악03	12	0.2%
Other values (672)	7632	98.5%

Most occurring characters

Value	Count	Frequency (%)
1	5137	17.2%
0	3915	13.1%
2	2859	9.6%
6	2284	7.7%
3	2136	7.2%
5	1928	6.5%
7	1892	6.3%
4	1823	6.1%
8	630	2.1%
서	540	1.8%
Other values (43)	6679	22.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23094	77.4%
Other Letter	5969	20.0%
Uppercase Letter	592	2.0%
Dash Punctuation	168	0.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	540	9.0%
동	492	8.2%
성	384	6.4%
강	384	6.4%
북	360	6.0%
로	298	5.0%
대	271	4.5%
작	252	4.2%
초	240	4.0%
포	216	3.6%
Other values (25)	2532	42.4%

Decimal Number

Value	Count	Frequency (%)
1	5137	22.2%
0	3915	17.0%
2	2859	12.4%
6	2284	9.9%
3	2136	9.2%
5	1928	8.3%
7	1892	8.2%
4	1823	7.9%
8	630	2.7%
9	490	2.1%

Uppercase Letter

Value	Count	Frequency (%)
N	148	25.0%
A	78	13.2%
B	78	13.2%
U	72	12.2%
T	72	12.2%
R	72	12.2%
O	72	12.2%

Dash Punctuation

Value	Count	Frequency (%)
-	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23262	78.0%
Hangul	5969	20.0%
Latin	592	2.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	540	9.0%
동	492	8.2%
성	384	6.4%
강	384	6.4%
북	360	6.0%
로	298	5.0%
대	271	4.5%
작	252	4.2%
초	240	4.0%
포	216	3.6%
Other values (25)	2532	42.4%

Common

Value	Count	Frequency (%)
1	5137	22.1%
0	3915	16.8%
2	2859	12.3%
6	2284	9.8%
3	2136	9.2%
5	1928	8.3%
7	1892	8.1%
4	1823	7.8%
8	630	2.7%
9	490	2.1%

Latin

Value	Count	Frequency (%)
N	148	25.0%
A	78	13.2%
B	78	13.2%
U	72	12.2%
T	72	12.2%
R	72	12.2%
O	72	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23854	80.0%
Hangul	5969	20.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5137	21.5%
0	3915	16.4%
2	2859	12.0%
6	2284	9.6%
3	2136	9.0%
5	1928	8.1%
7	1892	7.9%
4	1823	7.6%
8	630	2.6%
9	490	2.1%
Other values (8)	760	3.2%

Hangul

Value	Count	Frequency (%)
서	540	9.0%
동	492	8.2%
성	384	6.4%
강	384	6.4%
북	360	6.0%
로	298	5.0%
대	271	4.5%
작	252	4.2%
초	240	4.0%
포	216	3.6%
Other values (25)	2532	42.4%

DSTNC
Real number (ℝ)

HIGH CORRELATION

Distinct	464
Distinct (%)	6.0%
Missing	6
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	28.348538

Minimum	1.2
Maximum	206
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.3 KiB

Quantile statistics

Minimum	1.2
5-th percentile	4
Q1	8.31
median	20.7
Q3	42.6
95-th percentile	66.57
Maximum	206
Range	204.8
Interquartile range (IQR)	34.29

Descriptive statistics

Standard deviation	26.932035
Coefficient of variation (CV)	0.95003261
Kurtosis	10.85367
Mean	28.348538
Median Absolute Deviation (MAD)	14.1
Skewness	2.5658775
Sum	219587.77
Variance	725.33452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.2	108	1.4%
7.0	107	1.4%
12.0	71	0.9%
8.5	60	0.8%
5.7	60	0.8%
7.7	60	0.8%
13.3	60	0.8%
5.5	59	0.8%
39.0	58	0.7%
4.2	56	0.7%
Other values (454)	7047	90.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.2	12	0.2%
1.6	12	0.2%
1.8	12	0.2%
1.9	12	0.2%
2.1	24	0.3%
2.4	12	0.2%
2.5	2	< 0.1%
2.6	24	0.3%
2.8	12	0.2%
2.9	36	0.5%

Value	Count	Frequency (%)
206.0	10	0.1%
204.4	3	< 0.1%
201.4	7	0.1%
190.0	2	< 0.1%
187.6	7	0.1%
184.0	8	0.1%
178.7	3	< 0.1%
168.0	16	0.2%
167.0	2	< 0.1%
161.4	7	0.1%

ROUTE_TY
Real number (ℝ)

HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0425697

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.1956115
Coefficient of variation (CV)	0.39296108
Kurtosis	8.8210991
Mean	3.0425697
Median Absolute Deviation (MAD)	1
Skewness	1.8969029
Sum	23586
Variance	1.4294868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	2962	38.2%
4	2716	35.0%
3	1680	21.7%
1	173	2.2%
6	120	1.5%
10	72	0.9%
5	29	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	173	2.2%
2	2962	38.2%
3	1680	21.7%
4	2716	35.0%
5	29	0.4%
6	120	1.5%
10	72	0.9%

Value	Count	Frequency (%)
10	72	0.9%
6	120	1.5%
5	29	0.4%
4	2716	35.0%
3	1680	21.7%
2	2962	38.2%
1	173	2.2%

SSTTN_NM
Text

Distinct	376
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	14
Median length	12
Mean length	5.1600877
Min length	2

Characters and Unicode

Total characters	40001
Distinct characters	289
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	2 ?
Unique (%)	< 0.1%

Sample

1st row	청암동
2nd row	서울역환승센터
3rd row	서울역환승센터
4th row	예장주차장
5th row	예장주차장

Value	Count	Frequency (%)
양천공영차고지	216	2.8%
중랑공영차고지	156	2.0%
은평차고지	156	2.0%
복정역환승센터	156	2.0%
우이동	120	1.5%
장지공영차고지	120	1.5%
진관공영차고지	104	1.3%
강동공영차고지	92	1.2%
강동차고지	84	1.1%
구산동	84	1.1%
Other values (366)	6464	83.4%

Most occurring characters

Value	Count	Frequency (%)
동	2679	6.7%
지	2171	5.4%
고	1824	4.6%
차	1740	4.3%
공	1259	3.1%
역	1146	2.9%
영	1046	2.6%
아	693	1.7%
파	690	1.7%
산	664	1.7%
Other values (279)	26089	65.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	38710	96.8%
Decimal Number	751	1.9%
Uppercase Letter	208	0.5%
Other Punctuation	204	0.5%
Open Punctuation	58	0.1%
Close Punctuation	58	0.1%
Lowercase Letter	12	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	2679	6.9%
지	2171	5.6%
고	1824	4.7%
차	1740	4.5%
공	1259	3.3%
역	1146	3.0%
영	1046	2.7%
아	693	1.8%
파	690	1.8%
산	664	1.7%
Other values (258)	24798	64.1%

Decimal Number

Value	Count	Frequency (%)
1	220	29.3%
2	121	16.1%
7	108	14.4%
3	65	8.7%
5	62	8.3%
4	62	8.3%
6	60	8.0%
0	29	3.9%
8	24	3.2%

Uppercase Letter

Value	Count	Frequency (%)
T	60	28.8%
P	48	23.1%
A	48	23.1%
L	14	6.7%
H	14	6.7%
E	12	5.8%
K	12	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	192	94.1%
,	12	5.9%

Open Punctuation

Value	Count	Frequency (%)
(	58	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	58	100.0%

Lowercase Letter

Value	Count	Frequency (%)
e	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	38710	96.8%
Common	1071	2.7%
Latin	220	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	2679	6.9%
지	2171	5.6%
고	1824	4.7%
차	1740	4.5%
공	1259	3.3%
역	1146	3.0%
영	1046	2.7%
아	693	1.8%
파	690	1.8%
산	664	1.7%
Other values (258)	24798	64.1%

Common

Value	Count	Frequency (%)
1	220	20.5%
.	192	17.9%
2	121	11.3%
7	108	10.1%
3	65	6.1%
5	62	5.8%
4	62	5.8%
6	60	5.6%
(	58	5.4%
)	58	5.4%
Other values (3)	65	6.1%

Latin

Value	Count	Frequency (%)
T	60	27.3%
P	48	21.8%
A	48	21.8%
L	14	6.4%
H	14	6.4%
e	12	5.5%
E	12	5.5%
K	12	5.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	38710	96.8%
ASCII	1291	3.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	2679	6.9%
지	2171	5.6%
고	1824	4.7%
차	1740	4.5%
공	1259	3.3%
역	1146	3.0%
영	1046	2.7%
아	693	1.8%
파	690	1.8%
산	664	1.7%
Other values (258)	24798	64.1%

ASCII

Value	Count	Frequency (%)
1	220	17.0%
.	192	14.9%
2	121	9.4%
7	108	8.4%
3	65	5.0%
5	62	4.8%
4	62	4.8%
6	60	4.6%
T	60	4.6%
(	58	4.5%
Other values (11)	283	21.9%

ESTTN_NM
Text

Distinct	403
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	17
Median length	16
Mean length	4.5420537
Min length	2

Characters and Unicode

Total characters	35210
Distinct characters	293
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	4 ?
Unique (%)	0.1%

Sample

1st row	이촌동
2nd row	서울역환승센터
3rd row	서울역환승센터
4th row	예장주차장
5th row	예장주차장

Value	Count	Frequency (%)
서울역	162	2.1%
여의도	144	1.9%
강남역	138	1.8%
석계역	115	1.5%
홍제역	108	1.4%
양재역	96	1.2%
사당역	90	1.2%
구로디지털단지역	90	1.2%
대방역	86	1.1%
수유역	84	1.1%
Other values (393)	6639	85.6%

Most occurring characters

Value	Count	Frequency (%)
역	3679	10.4%
동	1358	3.9%
대	1173	3.3%
구	843	2.4%
신	650	1.8%
서	614	1.7%
지	608	1.7%
리	582	1.7%
사	530	1.5%
문	506	1.4%
Other values (283)	24667	70.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	34214	97.2%
Decimal Number	390	1.1%
Other Punctuation	226	0.6%
Uppercase Letter	192	0.5%
Open Punctuation	94	0.3%
Close Punctuation	94	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
역	3679	10.8%
동	1358	4.0%
대	1173	3.4%
구	843	2.5%
신	650	1.9%
서	614	1.8%
지	608	1.8%
리	582	1.7%
사	530	1.5%
문	506	1.5%
Other values (263)	23671	69.2%

Decimal Number

Value	Count	Frequency (%)
2	114	29.2%
7	62	15.9%
1	60	15.4%
3	41	10.5%
5	36	9.2%
6	36	9.2%
9	24	6.2%
8	12	3.1%
0	5	1.3%

Uppercase Letter

Value	Count	Frequency (%)
C	48	25.0%
A	42	21.9%
Y	24	12.5%
M	24	12.5%
T	18	9.4%
G	12	6.2%
S	12	6.2%
N	12	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	226	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	94	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	34214	97.2%
Common	804	2.3%
Latin	192	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
역	3679	10.8%
동	1358	4.0%
대	1173	3.4%
구	843	2.5%
신	650	1.9%
서	614	1.8%
지	608	1.8%
리	582	1.7%
사	530	1.5%
문	506	1.5%
Other values (263)	23671	69.2%

Common

Value	Count	Frequency (%)
.	226	28.1%
2	114	14.2%
(	94	11.7%
)	94	11.7%
7	62	7.7%
1	60	7.5%
3	41	5.1%
5	36	4.5%
6	36	4.5%
9	24	3.0%
Other values (2)	17	2.1%

Latin

Value	Count	Frequency (%)
C	48	25.0%
A	42	21.9%
Y	24	12.5%
M	24	12.5%
T	18	9.4%
G	12	6.2%
S	12	6.2%
N	12	6.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	34214	97.2%
ASCII	996	2.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
역	3679	10.8%
동	1358	4.0%
대	1173	3.4%
구	843	2.5%
신	650	1.9%
서	614	1.8%
지	608	1.8%
리	582	1.7%
사	530	1.5%
문	506	1.5%
Other values (263)	23671	69.2%

ASCII

Value	Count	Frequency (%)
.	226	22.7%
2	114	11.4%
(	94	9.4%
)	94	9.4%
7	62	6.2%
1	60	6.0%
C	48	4.8%
A	42	4.2%
3	41	4.1%
5	36	3.6%
Other values (10)	179	18.0%

CARALC
Real number (ℝ)

Distinct	73
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.858746

Minimum	0
Maximum	630
Zeros	12
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	68.3 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	9
median	11
Q3	15
95-th percentile	29
Maximum	630
Range	630
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	33.593183
Coefficient of variation (CV)	1.9926264
Kurtosis	124.98313
Mean	16.858746
Median Absolute Deviation (MAD)	3
Skewness	10.017133
Sum	130689
Variance	1128.5019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	797	10.3%
8	691	8.9%
11	653	8.4%
12	649	8.4%
9	629	8.1%
7	563	7.3%
13	542	7.0%
15	472	6.1%
6	397	5.1%
14	382	4.9%
Other values (63)	1977	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	0.2%
4	36	0.5%
5	132	1.7%
6	397	5.1%
7	563	7.3%
8	691	8.9%
9	629	8.1%
10	797	10.3%
11	653	8.4%
12	649	8.4%

Value	Count	Frequency (%)
630	5	0.1%
530	1	< 0.1%
460	2	< 0.1%
400	1	< 0.1%
380	1	< 0.1%
340	5	0.1%
330	7	0.1%
325	4	0.1%
305	2	< 0.1%
300	13	0.2%

FIRCAR_TM
Real number (ℝ)

HIGH CORRELATION

Distinct	64
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.048647265

Minimum	-1.234
Maximum	0.235
Zeros	40
Zeros (%)	0.5%
Negative	15
Negative (%)	0.2%
Memory size	68.3 KiB

Quantile statistics

Minimum	-1.234
5-th percentile	0.04
Q1	0.042
median	0.05
Q3	0.055
95-th percentile	0.06
Maximum	0.235
Range	1.469
Interquartile range (IQR)	0.013

Descriptive statistics

Standard deviation	0.060375939
Coefficient of variation (CV)	1.2410963
Kurtosis	392.34508
Mean	0.048647265
Median Absolute Deviation (MAD)	0.008
Skewness	-18.274532
Sum	377.1136
Variance	0.003645254
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.06	1414	18.2%
0.043	1209	15.6%
0.04	1157	14.9%
0.053	518	6.7%
0.05	512	6.6%
0.042	398	5.1%
0.055	357	4.6%
0.041	290	3.7%
0.052	180	2.3%
0.044	176	2.3%
Other values (54)	1541	19.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.234	15	0.2%
0.0	40	0.5%
0.0001	12	0.2%
0.001	11	0.1%
0.032	1	< 0.1%
0.033	12	0.2%
0.034	1	< 0.1%
0.035	60	0.8%
0.0355	48	0.6%
0.0357	24	0.3%

Value	Count	Frequency (%)
0.235	10	0.1%
0.234	15	0.2%
0.233	21	0.3%
0.232	7	0.1%
0.231	16	0.2%
0.23	1	< 0.1%
0.193	12	0.2%
0.133	12	0.2%
0.103	12	0.2%
0.101	12	0.2%

LSTCAR_TM
Real number (ℝ)

HIGH CORRELATION

Distinct	124
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.31196531

Minimum	0.0115
Maximum	1.041
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.3 KiB

Quantile statistics

Minimum	0.0115
5-th percentile	0.193
Q1	0.224
median	0.231
Q3	0.234
95-th percentile	1.0005
Maximum	1.041
Range	1.0295
Interquartile range (IQR)	0.01

Descriptive statistics

Standard deviation	0.24988329
Coefficient of variation (CV)	0.80099704
Kurtosis	3.7383383
Mean	0.31196531
Median Absolute Deviation (MAD)	0.004
Skewness	2.3581501
Sum	2418.3551
Variance	0.062441659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.23	930	12.0%
0.233	838	10.8%
0.223	607	7.8%
0.231	478	6.2%
1.0	478	6.2%
0.225	464	6.0%
0.234	455	5.9%
0.224	428	5.5%
0.232	404	5.2%
0.235	331	4.3%
Other values (114)	2339	30.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0115	5	0.1%
0.012	10	0.1%
0.013	15	0.2%
0.031	13	0.2%
0.032	6	0.1%
0.0325	13	0.2%
0.033	6	0.1%
0.0345	6	0.1%
0.041	5	0.1%
0.044	12	0.2%

Value	Count	Frequency (%)
1.041	2	< 0.1%
1.035	18	0.2%
1.0345	1	< 0.1%
1.034	5	0.1%
1.0335	7	0.1%
1.033	13	0.2%
1.0325	1	< 0.1%
1.032	6	0.1%
1.031	1	< 0.1%
1.014	5	0.1%

GROUP_NM
Text

Distinct	255
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	26
Median length	5
Mean length	5.9557534
Min length	4

Characters and Unicode

Total characters	46169
Distinct characters	168
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	0 ?
Unique (%)	0.0%

Sample

1st row	보광교통
2nd row	대원여객, 메트로버스
3rd row	대원여객, 북부운수
4th row	북부운수
5th row	북부운수

Value	Count	Frequency (%)
선진운수	224	2.6%
대진여객	188	2.2%
범일운수	180	2.1%
한남여객	176	2.0%
한성운수	156	1.8%
흥안운수	156	1.8%
대원여객	152	1.7%
한성여객	152	1.7%
북부운수	151	1.7%
삼화상운	144	1.7%
Other values (196)	7041	80.7%

Most occurring characters

Value	Count	Frequency (%)
	8720	18.9%
운	4473	9.7%
수	4397	9.5%
통	1912	4.1%
교	1912	4.1%
성	1044	2.3%
객	1008	2.2%
진	985	2.1%
여	972	2.1%
,	920	2.0%
Other values (158)	19826	42.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	36169	78.3%
Space Separator	8720	18.9%
Other Punctuation	920	2.0%
Uppercase Letter	276	0.6%
Decimal Number	84	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
운	4473	12.4%
수	4397	12.2%
통	1912	5.3%
교	1912	5.3%
성	1044	2.9%
객	1008	2.8%
진	985	2.7%
여	972	2.7%
한	743	2.1%
신	716	2.0%
Other values (152)	18007	49.8%

Uppercase Letter

Value	Count	Frequency (%)
R	92	33.3%
T	92	33.3%
B	92	33.3%

Space Separator

Value	Count	Frequency (%)
	8720	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	920	100.0%

Decimal Number

Value	Count	Frequency (%)
3	84	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	36169	78.3%
Common	9724	21.1%
Latin	276	0.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
운	4473	12.4%
수	4397	12.2%
통	1912	5.3%
교	1912	5.3%
성	1044	2.9%
객	1008	2.8%
진	985	2.7%
여	972	2.7%
한	743	2.1%
신	716	2.0%
Other values (152)	18007	49.8%

Common

Value	Count	Frequency (%)
	8720	89.7%
,	920	9.5%
3	84	0.9%

Latin

Value	Count	Frequency (%)
R	92	33.3%
T	92	33.3%
B	92	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	36169	78.3%
ASCII	10000	21.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8720	87.2%
,	920	9.2%
R	92	0.9%
T	92	0.9%
B	92	0.9%
3	84	0.8%

Hangul

Value	Count	Frequency (%)
운	4473	12.4%
수	4397	12.2%
통	1912	5.3%
교	1912	5.3%
성	1044	2.9%
객	1008	2.8%
진	985	2.7%
여	972	2.7%
한	743	2.1%
신	716	2.0%
Other values (152)	18007	49.8%

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	0.044	0.077	0.000	0.000
ROUTE_ID	0.000	1.000	0.611	0.591	0.076	0.133	0.377
DSTNC	0.000	0.611	1.000	0.784	0.825	0.296	0.586
ROUTE_TY	0.044	0.591	0.784	1.000	0.642	0.551	0.620
CARALC	0.077	0.076	0.825	0.642	1.000	0.335	0.594
FIRCAR_TM	0.000	0.133	0.296	0.551	0.335	1.000	0.356
LSTCAR_TM	0.000	0.377	0.586	0.620	0.594	0.356	1.000

Heatmap
Table

	STDR_DE	ROUTE_ID	DSTNC	ROUTE_TY	CARALC	FIRCAR_TM	LSTCAR_TM
STDR_DE	1.000	0.004	0.029	-0.029	0.043	-0.004	-0.028
ROUTE_ID	0.004	1.000	-0.571	-0.612	0.051	0.645	0.299
DSTNC	0.029	-0.571	1.000	0.480	0.156	-0.751	-0.527
ROUTE_TY	-0.029	-0.612	0.480	1.000	0.116	-0.485	-0.251
CARALC	0.043	0.051	0.156	0.116	1.000	0.029	-0.211
FIRCAR_TM	-0.004	0.645	-0.751	-0.485	0.029	1.000	0.374
LSTCAR_TM	-0.028	0.299	-0.527	-0.251	-0.211	0.374	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

	STDR_DE	ROUTE_ID	ROUTE_NM	ROUTE_ABRV	DSTNC	ROUTE_TY	SSTTN_NM	ESTTN_NM	CARALC	FIRCAR_TM	LSTCAR_TM	GROUP_NM
0	20220101	100100124	0017	0017	12.2	4	청암동	이촌동	12	0.0515	0.233	보광교통
1	20220101	104000007	01A	01A	23.6	5	서울역환승센터	서울역환승센터	35	0.063	0.221	대원여객, 메트로버스
2	20220101	104000008	01B	01B	23.6	5	서울역환승센터	서울역환승센터	35	0.063	0.221	대원여객, 북부운수
3	20220101	100100001	02	02	16.5	5	예장주차장	예장주차장	12	0.063	0.23	북부운수
4	20220101	106000002	04	04	13.0	5	예장주차장	예장주차장	12	0.063	0.223	북부운수
5	20220101	100100549	100	100	57.09	3	하계동	용산구청	10	0.04	0.223	한성여객
6	20220101	100100006	101	101	37.81	3	우이동	서소문	10	0.04	0.23	동아운수, 한성운수
7	20220101	100100129	1014	1014	12.6	4	성북생태체험관	종로구민회관숭인동	8	0.05	0.234	대진여객
8	20220101	100100130	1017	1017	23.95	4	월계동	상왕십리	14	0.043	0.232	한성여객
9	20220101	100100007	102	102	30.2	3	상계주공7단지	동대문	11	0.04	0.231	삼화상운, 흥안운수

	STDR_DE	ROUTE_ID	ROUTE_NM	ROUTE_ABRV	DSTNC	ROUTE_TY	SSTTN_NM	ESTTN_NM	CARALC	FIRCAR_TM	LSTCAR_TM	GROUP_NM
7742	20221201	100900008	종로02	종로02	7.2	2	성균관대	YMCA	15	0.06	0.232	대산교통
7743	20221201	100900010	종로03	종로03	7.2	2	낙산공원	종로5가	7	0.06	0.233	종로운수
7744	20221201	100900011	종로05	종로05	4.9	2	서대문	교남동	8	0.06	0.233	나경운수
7745	20221201	100900005	종로08	종로08	6.8	2	명륜3가종점	종로5가	6	0.055	0.234	와룡운수
7746	20221201	100900003	종로09	종로09	6.4	2	수성동계곡	남대문	10	0.06	0.233	인왕교통
7747	20221201	100900007	종로11	종로11	8.6	2	삼청동	서울역	9	0.06	0.23	삼청교통
7748	20221201	100900009	종로12	종로12	5.4	2	서울대병원	종로3가	6	0.06	0.233	은수교통
7749	20221201	100900002	종로13	종로13	7.5	2	평창동주민센터	부암동주민센터.무계원	13	0.055	0.223	약수교통
7750	20221201	106900001	중랑01	중랑01	3.6	2	동아약국	신이문역	16	0.06	0.2348	금창운수, 금창운수 월계점
7751	20221201	106900002	중랑02	중랑02	6.86	2	진로아파트	한신아파트	10	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

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

Decimal Number

Uppercase Letter

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

Decimal Number

Uppercase Letter

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

Decimal Number

Most occurring scripts