gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	400
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	55.2 KiB
Average record size in memory	141.3 B

Variable types

Categorical	7
Text	5
Numeric	5

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMBUSSTOP0000000014

Alerts

`"서울"` has constant value ""	Constant
`""` has constant value ""	Constant
`"".1` has constant value ""	Constant
`"".2` has constant value ""	Constant
`"421"` is highly overall correlated with `"1808"` and 1 other fields	High correlation
`"간선"` is highly overall correlated with `"421"` and 1 other fields	High correlation
`"1808"` is highly overall correlated with `"421"` and 1 other fields	High correlation
`311938` is highly overall correlated with `127.0014981`	High correlation
`547522` is highly overall correlated with `37.5256914`	High correlation
`127.0014981` is highly overall correlated with `311938`	High correlation
`37.5256914` is highly overall correlated with `547522`	High correlation
`"간선"` is highly imbalanced (90.3%)	Imbalance
`18` has 5 (1.2%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 06:40:14.314158
Analysis finished	2023-12-10 06:40:20.650085
Duration	6.34 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

"서울"
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

"서울"	400

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
"서울"	400	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
서울	400	100.0%

"421"
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

"421"	100
"507"	92
"463"	83
"104"	58
"604"	49
Other values (2)	18

Length

Max length	5
Median length	5
Mean length	4.9875
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	"421"
2nd row	"421"
3rd row	"421"
4th row	"421"
5th row	"421"

Common Values

Value	Count	Frequency (%)
"421"	100	25.0%
"507"	92	23.0%
"463"	83	20.8%
"104"	58	14.5%
"604"	49	12.2%
"143"	13	3.2%
"02"	5	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
421	100	25.0%
507	92	23.0%
463	83	20.8%
104	58	14.5%
604	49	12.2%
143	13	3.2%
02	5	1.2%

""
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

""	400

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
""	400	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	400	100.0%

"11170700"
Text

Distinct	105
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	4000
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	23 ?
Unique (%)	5.8%

Sample

1st row	"11170650"
2nd row	"11170650"
3rd row	"11170650"
4th row	"11170520"
5th row	"11170530"

Value	Count	Frequency (%)
11140590	22	5.5%
11140570	19	4.8%
11140540	18	4.5%
11680640	10	2.5%
11170530	9	2.2%
11170625	9	2.2%
11140550	9	2.2%
11440565	9	2.2%
11650652	9	2.2%
11305645	7	1.8%
Other values (95)	279	69.8%

Most occurring characters

Value	Count	Frequency (%)
1	1000	25.0%
"	800	20.0%
0	714	17.8%
5	510	12.8%
6	314	7.8%
4	241	6.0%
2	118	2.9%
7	103	2.6%
3	71	1.8%
9	67	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3200	80.0%
Other Punctuation	800	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1000	31.2%
0	714	22.3%
5	510	15.9%
6	314	9.8%
4	241	7.5%
2	118	3.7%
7	103	3.2%
3	71	2.2%
9	67	2.1%
8	62	1.9%

Other Punctuation

Value	Count	Frequency (%)
"	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1000	25.0%
"	800	20.0%
0	714	17.8%
5	510	12.8%
6	314	7.8%
4	241	6.0%
2	118	2.9%
7	103	2.6%
3	71	1.8%
9	67	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1000	25.0%
"	800	20.0%
0	714	17.8%
5	510	12.8%
6	314	7.8%
4	241	6.0%
2	118	2.9%
7	103	2.6%
3	71	1.8%
9	67	1.7%

"166342"
Text

Distinct	322
Distinct (%)	80.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Length

Max length	8
Median length	8
Mean length	7.7725
Min length	6

Characters and Unicode

Total characters	3109
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	276 ?
Unique (%)	69.0%

Sample

1st row	"209258"
2nd row	"209224"
3rd row	"209186"
4th row	"208581"
5th row	"208711"

Value	Count	Frequency (%)
206648	7	1.8%
206775	5	1.2%
206778	5	1.2%
206749	5	1.2%
207208	5	1.2%
206582	5	1.2%
206743	4	1.0%
206789	4	1.0%
206799	4	1.0%
207056	3	0.8%
Other values (312)	353	88.2%

Most occurring characters

Value	Count	Frequency (%)
"	800	25.7%
2	522	16.8%
1	271	8.7%
0	248	8.0%
7	237	7.6%
6	203	6.5%
3	198	6.4%
9	172	5.5%
8	165	5.3%
4	150	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2309	74.3%
Other Punctuation	800	25.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	522	22.6%
1	271	11.7%
0	248	10.7%
7	237	10.3%
6	203	8.8%
3	198	8.6%
9	172	7.4%
8	165	7.1%
4	150	6.5%
5	143	6.2%

Other Punctuation

Value	Count	Frequency (%)
"	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3109	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
"	800	25.7%
2	522	16.8%
1	271	8.7%
0	248	8.0%
7	237	7.6%
6	203	6.5%
3	198	6.4%
9	172	5.5%
8	165	5.3%
4	150	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	800	25.7%
2	522	16.8%
1	271	8.7%
0	248	8.0%
7	237	7.6%
6	203	6.5%
3	198	6.4%
9	172	5.5%
8	165	5.3%
4	150	4.8%

"1808"
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

"1808"	100
"1406"	92
"987"	83
"771"	58
"1169"	49
Other values (2)	18

Length

Max length	6
Median length	6
Mean length	5.6025
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	"1808"
2nd row	"1808"
3rd row	"1808"
4th row	"1808"
5th row	"1808"

Common Values

Value	Count	Frequency (%)
"1808"	100	25.0%
"1406"	92	23.0%
"987"	83	20.8%
"771"	58	14.5%
"1169"	49	12.2%
"872"	13	3.2%
"715"	5	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1808	100	25.0%
1406	92	23.0%
987	83	20.8%
771	58	14.5%
1169	49	12.2%
872	13	3.2%
715	5	1.2%

"988"
Text

Distinct	300
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Length

Max length	7
Median length	6
Mean length	5.97
Min length	5

Characters and Unicode

Total characters	2388
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	235 ?
Unique (%)	58.8%

Sample

1st row	"877"
2nd row	"877"
3rd row	"868"
4th row	"623"
5th row	"649"

Value	Count	Frequency (%)
375	6	1.5%
361	5	1.2%
368	5	1.2%
334	5	1.2%
392	5	1.2%
347	5	1.2%
359	4	1.0%
402	4	1.0%
365	4	1.0%
373	4	1.0%
Other values (290)	353	88.2%

Most occurring characters

Value	Count	Frequency (%)
"	800	33.5%
1	325	13.6%
3	198	8.3%
4	172	7.2%
2	144	6.0%
7	135	5.7%
5	131	5.5%
9	128	5.4%
8	121	5.1%
0	118	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1588	66.5%
Other Punctuation	800	33.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	325	20.5%
3	198	12.5%
4	172	10.8%
2	144	9.1%
7	135	8.5%
5	131	8.2%
9	128	8.1%
8	121	7.6%
0	118	7.4%
6	116	7.3%

Other Punctuation

Value	Count	Frequency (%)
"	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2388	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
"	800	33.5%
1	325	13.6%
3	198	8.3%
4	172	7.2%
2	144	6.0%
7	135	5.7%
5	131	5.5%
9	128	5.4%
8	121	5.1%
0	118	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2388	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	800	33.5%
1	325	13.6%
3	198	8.3%
4	172	7.2%
2	144	6.0%
7	135	5.7%
5	131	5.5%
9	128	5.4%
8	121	5.1%
0	118	4.9%

"".1
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

""	400

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
""	400	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	400	100.0%

"".2
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

""	400

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
""	400	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	400	100.0%

18
Real number (ℝ)

ZEROS

Distinct	113
Distinct (%)	28.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.955

Minimum	0
Maximum	113
Zeros	5
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	19
median	40
Q3	66
95-th percentile	96.05
Maximum	113
Range	113
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	29.617325
Coefficient of variation (CV)	0.67381015
Kurtosis	-0.85477447
Mean	43.955
Median Absolute Deviation (MAD)	23
Skewness	0.40345306
Sum	17582
Variance	877.18594
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	6	1.5%
2	6	1.5%
24	6	1.5%
7	6	1.5%
4	6	1.5%
9	6	1.5%
21	6	1.5%
14	5	1.2%
51	5	1.2%
52	5	1.2%
Other values (103)	343	85.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	1.2%
1	5	1.2%
2	6	1.5%
3	6	1.5%
4	6	1.5%
5	5	1.2%
6	5	1.2%
7	6	1.5%
8	5	1.2%
9	6	1.5%

Value	Count	Frequency (%)
113	1	0.2%
112	1	0.2%
111	1	0.2%
110	1	0.2%
109	1	0.2%
108	1	0.2%
107	1	0.2%
106	1	0.2%
105	1	0.2%
103	1	0.2%

"보광동신동아아파트"
Text

Distinct	253
Distinct (%)	63.2%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Length

Max length	21
Median length	16
Mean length	9.805
Min length	4

Characters and Unicode

Total characters	3922
Distinct characters	291
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	152 ?
Unique (%)	38.0%

Sample

1st row	"한국폴리텍1대학"
2nd row	"이태원역.보광동입구"
3rd row	"이태원역1번출구.해밀턴호텔"
4th row	"녹사평역"
5th row	"전쟁기념관"

Value	Count	Frequency (%)
퇴계로3가.한옥마을.한국의집	9	2.2%
남대문시장.회현역	8	2.0%
퇴계로6가	6	1.5%
충무로역8번출구.대한극장앞	5	1.2%
퇴계로5가.제일병원	5	1.2%
명동입구	5	1.2%
한겨레신문사	4	1.0%
충무로역2번출구.대한극장앞	4	1.0%
광희문.광희동사거리	4	1.0%
숙대입구역	4	1.0%
Other values (246)	351	86.7%

Most occurring characters

Value	Count	Frequency (%)
"	800	20.4%
.	138	3.5%
동	103	2.6%
역	96	2.4%
구	84	2.1%
교	75	1.9%
대	70	1.8%
장	61	1.6%
로	52	1.3%
학	50	1.3%
Other values (281)	2393	61.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2867	73.1%
Other Punctuation	938	23.9%
Decimal Number	81	2.1%
Uppercase Letter	25	0.6%
Space Separator	5	0.1%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	103	3.6%
역	96	3.3%
구	84	2.9%
교	75	2.6%
대	70	2.4%
장	61	2.1%
로	52	1.8%
학	50	1.7%
한	50	1.7%
리	49	1.7%
Other values (258)	2177	75.9%

Uppercase Letter

Value	Count	Frequency (%)
T	7	28.0%
K	3	12.0%
G	3	12.0%
S	3	12.0%
C	2	8.0%
V	2	8.0%
L	2	8.0%
E	1	4.0%
A	1	4.0%
B	1	4.0%

Decimal Number

Value	Count	Frequency (%)
3	18	22.2%
2	14	17.3%
5	12	14.8%
1	12	14.8%
4	11	13.6%
6	6	7.4%
8	5	6.2%
9	3	3.7%

Other Punctuation

Value	Count	Frequency (%)
"	800	85.3%
.	138	14.7%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2867	73.1%
Common	1030	26.3%
Latin	25	0.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	103	3.6%
역	96	3.3%
구	84	2.9%
교	75	2.6%
대	70	2.4%
장	61	2.1%
로	52	1.8%
학	50	1.7%
한	50	1.7%
리	49	1.7%
Other values (258)	2177	75.9%

Common

Value	Count	Frequency (%)
"	800	77.7%
.	138	13.4%
3	18	1.7%
2	14	1.4%
5	12	1.2%
1	12	1.2%
4	11	1.1%
6	6	0.6%
	5	0.5%
8	5	0.5%
Other values (3)	9	0.9%

Latin

Value	Count	Frequency (%)
T	7	28.0%
K	3	12.0%
G	3	12.0%
S	3	12.0%
C	2	8.0%
V	2	8.0%
L	2	8.0%
E	1	4.0%
A	1	4.0%
B	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2867	73.1%
ASCII	1055	26.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	800	75.8%
.	138	13.1%
3	18	1.7%
2	14	1.3%
5	12	1.1%
1	12	1.1%
4	11	1.0%
T	7	0.7%
6	6	0.6%
	5	0.5%
Other values (13)	32	3.0%

Hangul

Value	Count	Frequency (%)
동	103	3.6%
역	96	3.3%
구	84	2.9%
교	75	2.6%
대	70	2.4%
장	61	2.1%
로	52	1.8%
학	50	1.7%
한	50	1.7%
리	49	1.7%
Other values (258)	2177	75.9%

311938
Real number (ℝ)

HIGH CORRELATION

Distinct	329
Distinct (%)	82.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	310289.1

Minimum	297433
Maximum	316216
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	297433
5-th percentile	303059.45
Q1	307620.5
median	311677
Q3	313855
95-th percentile	315251.9
Maximum	316216
Range	18783
Interquartile range (IQR)	6234.5

Descriptive statistics

Standard deviation	4490.0286
Coefficient of variation (CV)	0.014470468
Kurtosis	-0.17834535
Mean	310289.1
Median Absolute Deviation (MAD)	2617.5
Skewness	-0.8718532
Sum	1.2411564 × 10⁸
Variance	20160357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311121	5	1.2%
311537	5	1.2%
311844	5	1.2%
309933	5	1.2%
310538	5	1.2%
311159	4	1.0%
310464	4	1.0%
311401	4	1.0%
308558	3	0.8%
312180	3	0.8%
Other values (319)	357	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
297433	1	0.2%
297473	1	0.2%
297528	1	0.2%
297535	1	0.2%
297591	1	0.2%
297814	1	0.2%
298150	1	0.2%
298375	1	0.2%
298630	1	0.2%
299500	1	0.2%

Value	Count	Frequency (%)
316216	2	0.5%
316173	1	0.2%
316014	1	0.2%
315995	1	0.2%
315938	1	0.2%
315791	1	0.2%
315776	1	0.2%
315751	1	0.2%
315665	2	0.5%
315506	1	0.2%

547522
Real number (ℝ)

HIGH CORRELATION

Distinct	331
Distinct (%)	82.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	549291.02

Minimum	537626
Maximum	561101
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	537626
5-th percentile	540901
Q1	546074.25
median	550144
Q3	551695
95-th percentile	558144.9
Maximum	561101
Range	23475
Interquartile range (IQR)	5620.75

Descriptive statistics

Standard deviation	4907.8886
Coefficient of variation (CV)	0.0089349515
Kurtosis	-0.046141954
Mean	549291.02
Median Absolute Deviation (MAD)	2203
Skewness	-0.055134845
Sum	2.1971641 × 10⁸
Variance	24087370
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
551549	5	1.2%
551176	5	1.2%
551470	5	1.2%
551427	5	1.2%
551600	5	1.2%
551438	4	1.0%
551478	4	1.0%
551446	4	1.0%
551174	3	0.8%
551626	3	0.8%
Other values (321)	357	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
537626	1	0.2%
537891	1	0.2%
538003	1	0.2%
538417	1	0.2%
538875	1	0.2%
538957	1	0.2%
539076	1	0.2%
539084	1	0.2%
539342	1	0.2%
539370	1	0.2%

Value	Count	Frequency (%)
561101	1	0.2%
561088	1	0.2%
560967	1	0.2%
560902	1	0.2%
560850	1	0.2%
560839	1	0.2%
560782	1	0.2%
560761	1	0.2%
560356	1	0.2%
559819	1	0.2%

"166679"
Text

Distinct	334
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Length

Max length	8
Median length	8
Mean length	7.9775
Min length	7

Characters and Unicode

Total characters	3191
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	293 ?
Unique (%)	73.2%

Sample

1st row	"166682"
2nd row	"105094"
3rd row	"105070"
4th row	"104949"
5th row	"104780"

Value	Count	Frequency (%)
104965	5	1.2%
105128	5	1.2%
105055	5	1.2%
104797	5	1.2%
105197	5	1.2%
105107	4	1.0%
104953	4	1.0%
105060	4	1.0%
105188	3	0.8%
105276	3	0.8%
Other values (324)	357	89.2%

Most occurring characters

Value	Count	Frequency (%)
"	800	25.1%
1	542	17.0%
0	425	13.3%
5	236	7.4%
6	231	7.2%
2	205	6.4%
4	189	5.9%
8	154	4.8%
7	146	4.6%
9	140	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2391	74.9%
Other Punctuation	800	25.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	542	22.7%
0	425	17.8%
5	236	9.9%
6	231	9.7%
2	205	8.6%
4	189	7.9%
8	154	6.4%
7	146	6.1%
9	140	5.9%
3	123	5.1%

Other Punctuation

Value	Count	Frequency (%)
"	800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3191	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
"	800	25.1%
1	542	17.0%
0	425	13.3%
5	236	7.4%
6	231	7.2%
2	205	6.4%
4	189	5.9%
8	154	4.8%
7	146	4.6%
9	140	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3191	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	800	25.1%
1	542	17.0%
0	425	13.3%
5	236	7.4%
6	231	7.2%
2	205	6.4%
4	189	5.9%
8	154	4.8%
7	146	4.6%
9	140	4.4%

127.0014981
Real number (ℝ)

HIGH CORRELATION

Distinct	334
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.98264

Minimum	126.83722
Maximum	127.05057
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	126.83722
5-th percentile	126.90119
Q1	126.95245
median	126.99799
Q3	127.02217
95-th percentile	127.03958
Maximum	127.05057
Range	0.2133497
Interquartile range (IQR)	0.069716225

Descriptive statistics

Standard deviation	0.050575756
Coefficient of variation (CV)	0.00039828874
Kurtosis	-0.16085329
Mean	126.98264
Median Absolute Deviation (MAD)	0.03018225
Skewness	-0.86433307
Sum	50793.056
Variance	0.0025579071
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.985185	5	1.2%
126.9783688	5	1.2%
126.9999448	5	1.2%
126.9964764	5	1.2%
126.9917779	5	1.2%
126.9949458	4	1.0%
126.9843452	4	1.0%
126.9922118	4	1.0%
127.0038267	3	0.8%
126.9998172	3	0.8%
Other values (324)	357	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.8372247	1	0.2%
126.8377669	1	0.2%
126.8383419	1	0.2%
126.8384862	1	0.2%
126.8389842	1	0.2%
126.8414791	1	0.2%
126.845197	1	0.2%
126.8476914	1	0.2%
126.8505273	1	0.2%
126.8603672	1	0.2%

Value	Count	Frequency (%)
127.0505744	2	0.5%
127.0501015	1	0.2%
127.0482624	1	0.2%
127.0480501	1	0.2%
127.0474759	1	0.2%
127.0457703	1	0.2%
127.0455426	1	0.2%
127.0452513	1	0.2%
127.0444182	2	0.5%
127.0424023	1	0.2%

37.5256914
Real number (ℝ)

HIGH CORRELATION

Distinct	333
Distinct (%)	83.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.541459

Minimum	37.435654
Maximum	37.648144
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	37.435654
5-th percentile	37.46635
Q1	37.511991
median	37.549042
Q3	37.563312
95-th percentile	37.621568
Maximum	37.648144
Range	0.2124905
Interquartile range (IQR)	0.05132075

Descriptive statistics

Standard deviation	0.044380379
Coefficient of variation (CV)	0.0011821698
Kurtosis	-0.044491209
Mean	37.541459
Median Absolute Deviation (MAD)	0.02002165
Skewness	-0.054688218
Sum	15016.584
Variance	0.0019696181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.5607384	5	1.2%
37.5584181	5	1.2%
37.562423	5	1.2%
37.5619341	5	1.2%
37.5611823	5	1.2%
37.5612813	4	1.0%
37.5609024	4	1.0%
37.5608976	4	1.0%
37.5633117	3	0.8%
37.5626562	3	0.8%
Other values (323)	357	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.4356535	1	0.2%
37.438042	1	0.2%
37.4390472	1	0.2%
37.4427869	1	0.2%
37.4469074	1	0.2%
37.4476491	1	0.2%
37.4487282	1	0.2%
37.4487967	1	0.2%
37.451139	1	0.2%
37.4513934	1	0.2%

Value	Count	Frequency (%)
37.648144	1	0.2%
37.6480289	1	0.2%
37.6469012	1	0.2%
37.6463035	1	0.2%
37.645827	1	0.2%
37.645729	1	0.2%
37.6452888	1	0.2%
37.6450981	1	0.2%
37.6414603	1	0.2%
37.6366255	1	0.2%

"간선"
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

"간선"	395
"순환"	5

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
"간선"	395	98.8%
"순환"	5	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
간선	395	98.8%
순환	5	1.2%

Heatmap
Table

	"421"	"1808"	18	311938	547522	127.0014981	37.5256914	"간선"
"421"	1.000	1.000	0.402	0.687	0.688	0.684	0.687	1.000
"1808"	1.000	1.000	0.402	0.687	0.688	0.684	0.687	1.000
18	0.402	0.402	1.000	0.646	0.748	0.646	0.744	0.161
311938	0.687	0.687	0.646	1.000	0.795	0.999	0.798	0.265
547522	0.688	0.688	0.748	0.795	1.000	0.787	1.000	0.059
127.0014981	0.684	0.684	0.646	0.999	0.787	1.000	0.789	0.244
37.5256914	0.687	0.687	0.744	0.798	1.000	0.789	1.000	0.078
"간선"	1.000	1.000	0.161	0.265	0.059	0.244	0.078	1.000

Heatmap
Table

	"421"	"간선"	"1808"
"421"	1.000	0.994	1.000
"간선"	0.994	1.000	0.994
"1808"	1.000	0.994	1.000

Heatmap
Table

	18	311938	547522	127.0014981	37.5256914	"421"	"1808"	"간선"
18	1.000	0.073	-0.080	0.074	-0.078	0.216	0.216	0.122
311938	0.073	1.000	0.268	1.000	0.276	0.438	0.438	0.201
547522	-0.080	0.268	1.000	0.261	1.000	0.439	0.439	0.045
127.0014981	0.074	1.000	0.261	1.000	0.268	0.433	0.433	0.185
37.5256914	-0.078	0.276	1.000	0.268	1.000	0.436	0.436	0.059
"421"	0.216	0.438	0.439	0.433	0.436	1.000	1.000	0.994
"1808"	0.216	0.438	0.439	0.433	0.436	1.000	1.000	0.994
"간선"	0.122	0.201	0.045	0.185	0.059	0.994	0.994	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

	"서울"	"421"	""	"11170700"	"166342"	"1808"	"988"	"".1	"".2	18	"보광동신동아아파트"	311938	547522	"166679"	127.0014981	37.5256914	"간선"
0	"서울"	"421"	""	"11170650"	"209258"	"1808"	"877"	""	""	20	"한국폴리텍1대학"	311502	548068	"166682"	126.9965	37.530569	"간선"
1	"서울"	"421"	""	"11170650"	"209224"	"1808"	"877"	""	""	21	"이태원역.보광동입구"	311307	548429	"105094"	126.994251	37.533803	"간선"
2	"서울"	"421"	""	"11170650"	"209186"	"1808"	"868"	""	""	22	"이태원역1번출구.해밀턴호텔"	311202	548514	"105070"	126.993052	37.534558	"간선"
3	"서울"	"421"	""	"11170520"	"208581"	"1808"	"623"	""	""	24	"녹사평역"	310472	548578	"104949"	126.984786	37.535064	"간선"
4	"서울"	"421"	""	"11170530"	"208711"	"1808"	"649"	""	""	25	"전쟁기념관"	309769	548553	"104780"	126.976836	37.53477	"간선"
5	"서울"	"421"	""	"11170625"	"209119"	"1808"	"778"	""	""	26	"삼각지역11번출구"	309571	548735	"166689"	126.974573	37.536391	"간선"
6	"서울"	"421"	""	"11170530"	"159587"	"1808"	"649"	""	""	27	"숙대입구역"	309397	549500	"126812"	126.97251	37.543266	"간선"
7	"서울"	"421"	""	"11170530"	"208664"	"1808"	"651"	""	""	28	"갈월동"	309376	550357	"126805"	126.972167	37.550985	"간선"
8	"서울"	"421"	""	"11140540"	"206477"	"1808"	"339"	""	""	29	"서울스퀘어앞"	309484	550840	"81018"	126.973329	37.555347	"간선"
9	"서울"	"421"	""	"11140540"	"206582"	"1808"	"347"	""	""	30	"남대문시장.회현역"	309933	551176	"104797"	126.978369	37.558418	"간선"

	"서울"	"421"	""	"11170700"	"166342"	"1808"	"988"	"".1	"".2	18	"보광동신동아아파트"	311938	547522	"166679"	127.0014981	37.5256914	"간선"
390	"서울"	"143"	""	"11290650"	"217041"	"872"	"3752"	""	""	3	"KEB.하나은행.정릉중앙지점"	312652	557048	"105379"	127.008439	37.611583	"간선"
391	"서울"	"143"	""	"11290650"	"217070"	"872"	"3748"	""	""	4	"정릉시장입구"	312766	556717	"105419"	127.00977	37.608612	"간선"
392	"서울"	"143"	""	"11290630"	"216627"	"872"	"3676"	""	""	5	"정릉우체국앞"	312907	556331	"105486"	127.011413	37.605148	"간선"
393	"서울"	"143"	""	"11290620"	"216198"	"872"	"3664"	""	""	6	"숭덕초교"	313193	556124	"105654"	127.014676	37.60331	"간선"
394	"서울"	"143"	""	"11290620"	"216219"	"872"	"3659"	""	""	7	"정릉길음시장"	313597	555994	"105831"	127.019266	37.602177	"간선"
395	"서울"	"143"	""	"11290580"	"215217"	"872"	"3522"	""	""	8	"미아리고개.미아리예술극장"	313813	555615	"105934"	127.021757	37.598782	"간선"
396	"서울"	"143"	""	"11290575"	"218356"	"872"	"4148"	""	""	9	"돈암사거리.성신여대입구"	313515	555084	"105790"	127.018445	37.59397	"간선"
397	"서울"	"143"	""	"11290555"	"218141"	"872"	"4086"	""	""	10	"삼선교.한성대학교"	312692	554631	"105395"	127.009181	37.589811	"간선"
398	"서울"	"143"	""	"11110650"	"344214"	"872"	"229"	""	""	11	"혜화동로터리"	312022	554229	"151977"	127.001644	37.586126	"간선"
399	"서울"	"143"	""	"11110650"	"61780"	"872"	"234"	""	""	12	"명륜3가.성대입구"	311731	553859	"105159"	126.998394	37.582764	"간선"

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close 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

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common