Overview

Brought to you by YData

Dataset statistics

Number of variables	32
Number of observations	7955
Missing cells	29544
Missing cells (%)	11.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 MiB
Average record size in memory	264.0 B

Variable types

Text	11
Categorical	6
Numeric	11
Boolean	3
Unsupported	1

Alerts

`isTrain` has constant value "True"	Constant
`isMetro` has constant value "True"	Constant
`stops_lines_isNight` has constant value "True"	Constant
`avgJtskX` is highly overall correlated with `avgLon` and 1 other fields	High correlation
`avgJtskY` is highly overall correlated with `avgLat` and 1 other fields	High correlation
`avgLat` is highly overall correlated with `avgJtskY` and 1 other fields	High correlation
`avgLon` is highly overall correlated with `avgJtskX` and 1 other fields	High correlation
`cis` is highly overall correlated with `idosCategory` and 1 other fields	High correlation
`districtCode` is highly overall correlated with `avgJtskX` and 4 other fields	High correlation
`idosCategory` is highly overall correlated with `cis` and 1 other fields	High correlation
`jtskX` is highly overall correlated with `lon`	High correlation
`jtskY` is highly overall correlated with `lat`	High correlation
`lat` is highly overall correlated with `jtskY`	High correlation
`lon` is highly overall correlated with `jtskX`	High correlation
`mainTrafficType` is highly overall correlated with `cis` and 1 other fields	High correlation
`node` is highly overall correlated with `districtCode`	High correlation
`stops_lines_id` is highly overall correlated with `stops_lines_type`	High correlation
`stops_lines_type` is highly overall correlated with `stops_lines_id`	High correlation
`idosCategory` is highly imbalanced (62.0%)	Imbalance
`mainTrafficType` is highly imbalanced (79.4%)	Imbalance
`stops_lines_type` is highly imbalanced (72.4%)	Imbalance
`isTrain` has 7367 (92.6%) missing values	Missing
`platform` has 291 (3.7%) missing values	Missing
`isMetro` has 7887 (99.1%) missing values	Missing
`stops_lines_id` has 99 (1.2%) missing values	Missing
`stops_lines_name` has 99 (1.2%) missing values	Missing
`stops_lines_type` has 99 (1.2%) missing values	Missing
`stops_lines_direction` has 99 (1.2%) missing values	Missing
`stops_lines_direction2` has 6212 (78.1%) missing values	Missing
`stops_lines_isNight` has 7391 (92.9%) missing values	Missing
`id` has unique values	Unique
`gtfsIds` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-11-11 11:53:53.100315
Analysis finished	2024-11-11 11:54:18.733698
Duration	25.63 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

name
Text

Distinct	7754
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	42
Median length	33
Mean length	15.689252
Min length	3

Characters and Unicode

Total characters	124808
Distinct characters	92
Distinct categories	1 ?
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	7571 ?
Unique (%)	95.2%

Sample

1st row	Adamov
2nd row	Albertov
3rd row	Ametystová
4th row	Amforová
5th row	Anděl

Value	Count	Frequency (%)
u	167	1.4%
dolní	74	0.6%
nad	67	0.6%
na	64	0.5%
náměstí	60	0.5%
lhota	56	0.5%
nádraží	49	0.4%
mladá	47	0.4%
kutná	47	0.4%
pod	44	0.4%
Other values (8078)	11136	94.3%

Most occurring characters

Value	Count	Frequency (%)
o	9770	7.8%
e	8724	7.0%
a	6840	5.5%
n	5863	4.7%
,	5680	4.6%
i	5666	4.5%
c	5029	4.0%
v	4949	4.0%
l	4731	3.8%
r	4606	3.7%
Other values (82)	62950	50.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	124808	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	9770	7.8%
e	8724	7.0%
a	6840	5.5%
n	5863	4.7%
,	5680	4.6%
i	5666	4.5%
c	5029	4.0%
v	4949	4.0%
l	4731	3.8%
r	4606	3.7%
Other values (82)	62950	50.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	124808	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	9770	7.8%
e	8724	7.0%
a	6840	5.5%
n	5863	4.7%
,	5680	4.6%
i	5666	4.5%
c	5029	4.0%
v	4949	4.0%
l	4731	3.8%
r	4606	3.7%
Other values (82)	62950	50.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	124808	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	9770	7.8%
e	8724	7.0%
a	6840	5.5%
n	5863	4.7%
,	5680	4.6%
i	5666	4.5%
c	5029	4.0%
v	4949	4.0%
l	4731	3.8%
r	4606	3.7%
Other values (82)	62950	50.4%

districtCode
Categorical

High correlation

Distinct	36
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

AB	1459
BN	760
PB	678
PH	548
KH	480
Other values (31)	4030

Length

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

Characters and Unicode

Total characters	15910
Distinct characters	19
Distinct categories	1 ?
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	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
AB	1459	18.3%
BN	760	9.6%
PB	678	8.5%
PH	548	6.9%
KH	480	6.0%
MB	463	5.8%
PZ	449	5.6%
KD	420	5.3%
ME	375	4.7%
BE	356	4.5%
Other values (26)	1967	24.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ab	1459	18.3%
bn	760	9.6%
pb	678	8.5%
ph	548	6.9%
kh	480	6.0%
mb	463	5.8%
pz	449	5.6%
kd	420	5.3%
me	375	4.7%
be	356	4.5%
Other values (26)	1967	24.7%

Most occurring characters

Value	Count	Frequency (%)
B	4103	25.8%
A	1891	11.9%
P	1854	11.7%
K	1284	8.1%
N	1221	7.7%
H	1113	7.0%
M	903	5.7%
E	799	5.0%
Z	449	2.8%
D	431	2.7%
Other values (9)	1862	11.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15910	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	4103	25.8%
A	1891	11.9%
P	1854	11.7%
K	1284	8.1%
N	1221	7.7%
H	1113	7.0%
M	903	5.7%
E	799	5.0%
Z	449	2.8%
D	431	2.7%
Other values (9)	1862	11.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15910	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	4103	25.8%
A	1891	11.9%
P	1854	11.7%
K	1284	8.1%
N	1221	7.7%
H	1113	7.0%
M	903	5.7%
E	799	5.0%
Z	449	2.8%
D	431	2.7%
Other values (9)	1862	11.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15910	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	4103	25.8%
A	1891	11.9%
P	1854	11.7%
K	1284	8.1%
N	1221	7.7%
H	1113	7.0%
M	903	5.7%
E	799	5.0%
Z	449	2.8%
D	431	2.7%
Other values (9)	1862	11.7%

idosCategory
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

301003.0	7367
600003.0	588

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	63640
Distinct characters	5
Distinct categories	1 ?
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	0 ?
Unique (%)	0.0%

Sample

1st row	301003.0
2nd row	301003.0
3rd row	301003.0
4th row	301003.0
5th row	301003.0

Common Values

Value	Count	Frequency (%)
301003.0	7367	92.6%
600003.0	588	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
301003.0	7367	92.6%
600003.0	588	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	32408	50.9%
3	15322	24.1%
.	7955	12.5%
1	7367	11.6%
6	588	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	63640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	32408	50.9%
3	15322	24.1%
.	7955	12.5%
1	7367	11.6%
6	588	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	63640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	32408	50.9%
3	15322	24.1%
.	7955	12.5%
1	7367	11.6%
6	588	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	63640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	32408	50.9%
3	15322	24.1%
.	7955	12.5%
1	7367	11.6%
6	588	0.9%

idosName
Text

Distinct	7825
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	45
Median length	33
Mean length	15.987178
Min length	3

Characters and Unicode

Total characters	127178
Distinct characters	92
Distinct categories	1 ?
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	7695 ?
Unique (%)	96.7%

Sample

1st row	Adamov
2nd row	Albertov
3rd row	Ametystová
4th row	Amforová
5th row	Anděl

Value	Count	Frequency (%)
u	168	1.4%
bn	81	0.7%
dolní	74	0.6%
na	64	0.5%
náměstí	60	0.5%
pz	60	0.5%
lhota	56	0.5%
nádraží	48	0.4%
mladá	47	0.4%
kutná	47	0.4%
Other values (8113)	11554	94.2%

Most occurring characters

Value	Count	Frequency (%)
o	9756	7.7%
e	8731	6.9%
a	6786	5.3%
n	5863	4.6%
,	5682	4.5%
i	5668	4.5%
c	5034	4.0%
v	4941	3.9%
l	4732	3.7%
r	4600	3.6%
Other values (82)	65385	51.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	127178	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	9756	7.7%
e	8731	6.9%
a	6786	5.3%
n	5863	4.6%
,	5682	4.5%
i	5668	4.5%
c	5034	4.0%
v	4941	3.9%
l	4732	3.7%
r	4600	3.6%
Other values (82)	65385	51.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	127178	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	9756	7.7%
e	8731	6.9%
a	6786	5.3%
n	5863	4.6%
,	5682	4.5%
i	5668	4.5%
c	5034	4.0%
v	4941	3.9%
l	4732	3.7%
r	4600	3.6%
Other values (82)	65385	51.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	127178	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	9756	7.7%
e	8731	6.9%
a	6786	5.3%
n	5863	4.6%
,	5682	4.5%
i	5668	4.5%
c	5034	4.0%
v	4941	3.9%
l	4732	3.7%
r	4600	3.6%
Other values (82)	65385	51.4%

fullName
Text

Distinct	7749
Distinct (%)	97.4%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	56
Median length	43
Mean length	16.62841
Min length	3

Characters and Unicode

Total characters	132279
Distinct characters	92
Distinct categories	1 ?
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	7561 ?
Unique (%)	95.0%

Sample

1st row	Adamov
2nd row	Albertov
3rd row	Ametystová
4th row	Amforová
5th row	Anděl

Value	Count	Frequency (%)
nad	347	2.7%
u	170	1.3%
stanice	118	0.9%
nádraží	86	0.7%
náměstí	84	0.7%
zastávka	76	0.6%
pod	74	0.6%
dolní	74	0.6%
na	64	0.5%
úřad	59	0.5%
Other values (8120)	11602	91.0%

Most occurring characters

Value	Count	Frequency (%)
o	10244	7.7%
e	9788	7.4%
a	7863	5.9%
n	6498	4.9%
i	6055	4.6%
,	5680	4.3%
v	5345	4.0%
c	5247	4.0%
	4803	3.6%
l	4779	3.6%
Other values (82)	65977	49.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	132279	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	10244	7.7%
e	9788	7.4%
a	7863	5.9%
n	6498	4.9%
i	6055	4.6%
,	5680	4.3%
v	5345	4.0%
c	5247	4.0%
	4803	3.6%
l	4779	3.6%
Other values (82)	65977	49.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	132279	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	10244	7.7%
e	9788	7.4%
a	7863	5.9%
n	6498	4.9%
i	6055	4.6%
,	5680	4.3%
v	5345	4.0%
c	5247	4.0%
	4803	3.6%
l	4779	3.6%
Other values (82)	65977	49.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	132279	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	10244	7.7%
e	9788	7.4%
a	7863	5.9%
n	6498	4.9%
i	6055	4.6%
,	5680	4.3%
v	5345	4.0%
c	5247	4.0%
	4803	3.6%
l	4779	3.6%
Other values (82)	65977	49.9%

uniqueName
Text

Distinct	7884
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	45
Median length	33
Mean length	16.045255
Min length	3

Characters and Unicode

Total characters	127640
Distinct characters	92
Distinct categories	1 ?
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	7813 ?
Unique (%)	98.2%

Sample

1st row	Adamov
2nd row	Albertov
3rd row	Ametystová
4th row	Amforová
5th row	Anděl

Value	Count	Frequency (%)
u	168	1.4%
bn	81	0.7%
dolní	74	0.6%
vlak	66	0.5%
na	64	0.5%
náměstí	60	0.5%
pz	60	0.5%
lhota	56	0.5%
nádraží	48	0.4%
mladá	47	0.4%
Other values (8114)	11601	94.1%

Most occurring characters

Value	Count	Frequency (%)
o	9756	7.6%
e	8731	6.8%
a	6852	5.4%
n	5863	4.6%
,	5682	4.5%
i	5668	4.4%
c	5034	3.9%
v	5007	3.9%
l	4798	3.8%
r	4600	3.6%
Other values (82)	65649	51.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	127640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	9756	7.6%
e	8731	6.8%
a	6852	5.4%
n	5863	4.6%
,	5682	4.5%
i	5668	4.4%
c	5034	3.9%
v	5007	3.9%
l	4798	3.8%
r	4600	3.6%
Other values (82)	65649	51.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	127640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	9756	7.6%
e	8731	6.8%
a	6852	5.4%
n	5863	4.6%
,	5682	4.5%
i	5668	4.4%
c	5034	3.9%
v	5007	3.9%
l	4798	3.8%
r	4600	3.6%
Other values (82)	65649	51.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	127640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	9756	7.6%
e	8731	6.8%
a	6852	5.4%
n	5863	4.6%
,	5682	4.5%
i	5668	4.4%
c	5034	3.9%
v	5007	3.9%
l	4798	3.8%
r	4600	3.6%
Other values (82)	65649	51.4%

node
Real number (ℝ)

High correlation

Distinct	7513
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7392.7119

Minimum	1
Maximum	32501
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	1
5-th percentile	388
Q1	2004
median	4871
Q3	7840.5
95-th percentile	31631.8
Maximum	32501
Range	32500
Interquartile range (IQR)	5836.5

Descriptive statistics

Standard deviation	8783.3234
Coefficient of variation (CV)	1.1881057
Kurtosis	3.1797945
Mean	7392.7119
Median Absolute Deviation (MAD)	2920
Skewness	2.0783244
Sum	58809023
Variance	77146771
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
237	5	0.1%
1381	3	< 0.1%
1442	3	< 0.1%
4166	3	< 0.1%
2870	3	< 0.1%
31131	3	< 0.1%
100	3	< 0.1%
115	3	< 0.1%
5084	3	< 0.1%
454	3	< 0.1%
Other values (7503)	7923	99.6%

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
32501	1	< 0.1%
32382	1	< 0.1%
32381	1	< 0.1%
32380	1	< 0.1%
32379	1	< 0.1%
32378	1	< 0.1%
32362	1	< 0.1%
32360	1	< 0.1%
32359	1	< 0.1%
32358	1	< 0.1%

cis
Real number (ℝ)

High correlation

Distinct	7951
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	435159.36

Minimum	33
Maximum	5476944
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	33
5-th percentile	3696.7
Q1	18066.5
median	34107
Q3	55270.5
95-th percentile	5454437.5
Maximum	5476944
Range	5476911
Interquartile range (IQR)	37204

Descriptive statistics

Standard deviation	1420509.8
Coefficient of variation (CV)	3.2643439
Kurtosis	8.5881405
Mean	435159.36
Median Absolute Deviation (MAD)	18398
Skewness	3.25321
Sum	3.4616927 × 10⁹
Variance	2.0178481 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19139	2	< 0.1%
3174	2	< 0.1%
35952	2	< 0.1%
5476754	2	< 0.1%
66182	1	< 0.1%
52867	1	< 0.1%
52869	1	< 0.1%
52868	1	< 0.1%
28827	1	< 0.1%
28884	1	< 0.1%
Other values (7941)	7941	99.8%

Value	Count	Frequency (%)
33	1	< 0.1%
108	1	< 0.1%
109	1	< 0.1%
110	1	< 0.1%
111	1	< 0.1%
198	1	< 0.1%
199	1	< 0.1%
230	1	< 0.1%
240	1	< 0.1%
241	1	< 0.1%

Value	Count	Frequency (%)
5476944	1	< 0.1%
5476934	1	< 0.1%
5476924	1	< 0.1%
5476914	1	< 0.1%
5476904	1	< 0.1%
5476894	1	< 0.1%
5476884	1	< 0.1%
5476874	1	< 0.1%
5476864	1	< 0.1%
5476854	1	< 0.1%

avgLat
Real number (ℝ)

High correlation

Distinct	7804
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.02497

Minimum	49.00786
Maximum	50.95622
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	49.00786
5-th percentile	49.576128
Q1	49.844292
median	50.043987
Q3	50.177763
95-th percentile	50.482249
Maximum	50.95622
Range	1.94836
Interquartile range (IQR)	0.3334711

Descriptive statistics

Standard deviation	0.26886272
Coefficient of variation (CV)	0.0053745704
Kurtosis	0.017231416
Mean	50.02497
Median Absolute Deviation (MAD)	0.1641973
Skewness	0.074172315
Sum	397948.64
Variance	0.072287164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50.0761337	4	0.1%
50.0879364	3	< 0.1%
50.06065	2	< 0.1%
49.6777649	2	< 0.1%
50.2206573	2	< 0.1%
49.7420044	2	< 0.1%
49.8132	2	< 0.1%
49.95851	2	< 0.1%
50.0695648	2	< 0.1%
50.2020721	2	< 0.1%
Other values (7794)	7932	99.7%

Value	Count	Frequency (%)
49.00786	1	< 0.1%
49.08151	1	< 0.1%
49.1168365	1	< 0.1%
49.1540527	1	< 0.1%
49.1591949	1	< 0.1%
49.1845245	1	< 0.1%
49.18656	1	< 0.1%
49.1932831	1	< 0.1%
49.2556	1	< 0.1%
49.2556152	1	< 0.1%

Value	Count	Frequency (%)
50.95622	1	< 0.1%
50.95116	1	< 0.1%
50.9445572	1	< 0.1%
50.9120865	1	< 0.1%
50.90968	1	< 0.1%
50.9072952	1	< 0.1%
50.90445	1	< 0.1%
50.8918343	1	< 0.1%
50.87971	1	< 0.1%
50.87534	1	< 0.1%

avgLon
Real number (ℝ)

High correlation

Distinct	7922
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.539107

Minimum	12.864397
Maximum	15.786157
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	12.864397
5-th percentile	13.782612
Q1	14.266703
median	14.510729
Q3	14.876425
95-th percentile	15.292543
Maximum	15.786157
Range	2.9217597
Interquartile range (IQR)	0.609722

Descriptive statistics

Standard deviation	0.4567476
Coefficient of variation (CV)	0.031415107
Kurtosis	-0.12784017
Mean	14.539107
Median Absolute Deviation (MAD)	0.3003197
Skewness	-0.13756147
Sum	115658.59
Variance	0.20861837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15.0984955	2	< 0.1%
14.01936	2	< 0.1%
14.7125244	2	< 0.1%
14.93759	2	< 0.1%
14.3706169	2	< 0.1%
14.1673908	2	< 0.1%
14.57659	2	< 0.1%
14.392519	2	< 0.1%
14.4030924	2	< 0.1%
14.5714912	2	< 0.1%
Other values (7912)	7935	99.7%

Value	Count	Frequency (%)
12.864397	1	< 0.1%
12.8702087	1	< 0.1%
12.875968	1	< 0.1%
12.8830929	1	< 0.1%
12.8889828	1	< 0.1%
12.919836	1	< 0.1%
12.9446735	1	< 0.1%
12.9550972	1	< 0.1%
12.9600859	1	< 0.1%
12.9610386	1	< 0.1%

Value	Count	Frequency (%)
15.7861567	1	< 0.1%
15.786087	1	< 0.1%
15.7558346	1	< 0.1%
15.73393	1	< 0.1%
15.6670752	1	< 0.1%
15.6167946	1	< 0.1%
15.5829706	1	< 0.1%
15.5773067	1	< 0.1%
15.5762663	1	< 0.1%
15.574542	1	< 0.1%

avgJtskX
Real number (ℝ)

High correlation

Distinct	7935
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-735395.74

Minimum	-850520.75
Maximum	-647707.9
Zeros	0
Zeros (%)	0.0%
Negative	7955
Negative (%)	100.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	-850520.75
5-th percentile	-790887.67
Q1	-755527.35
median	-737080.1
Q3	-711375.3
95-th percentile	-681821.61
Maximum	-647707.9
Range	202812.85
Interquartile range (IQR)	44152.05

Descriptive statistics

Standard deviation	33070.928
Coefficient of variation (CV)	-0.044970246
Kurtosis	-0.24893571
Mean	-735395.74
Median Absolute Deviation (MAD)	21674.9
Skewness	-0.10519433
Sum	-5.8500731 × 10⁹
Variance	1.0936863 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-746083.75	2	< 0.1%
-707940	2	< 0.1%
-781056.75	2	< 0.1%
-740098.938	2	< 0.1%
-742898.5	2	< 0.1%
-781215.7	2	< 0.1%
-722079.1	2	< 0.1%
-742686.1	2	< 0.1%
-777237.4	2	< 0.1%
-744023.1	2	< 0.1%
Other values (7925)	7935	99.7%

Value	Count	Frequency (%)
-850520.75	1	< 0.1%
-850095.9	1	< 0.1%
-849622.25	1	< 0.1%
-849088.8	1	< 0.1%
-848628.25	1	< 0.1%
-846922.25	1	< 0.1%
-845262.25	1	< 0.1%
-844510.1	1	< 0.1%
-844292.1	1	< 0.1%
-844152.563	1	< 0.1%

Value	Count	Frequency (%)
-647707.9	1	< 0.1%
-647747.063	1	< 0.1%
-649855.6	1	< 0.1%
-651376.9	1	< 0.1%
-652589.5	1	< 0.1%
-654305.1	1	< 0.1%
-655402.75	1	< 0.1%
-655758.25	1	< 0.1%
-655829.25	1	< 0.1%
-655866.6	1	< 0.1%

avgJtskY
Real number (ℝ)

High correlation

Distinct	7917
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1050941

Minimum	-1165330.4
Maximum	-948531.1
Zeros	0
Zeros (%)	0.0%
Negative	7955
Negative (%)	100.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	-1165330.4
5-th percentile	-1099439.2
Q1	-1072131.6
median	-1048068.4
Q3	-1032854.2
95-th percentile	-1003124.3
Maximum	-948531.1
Range	216799.28
Interquartile range (IQR)	39277.47

Descriptive statistics

Standard deviation	29517.099
Coefficient of variation (CV)	-0.028086353
Kurtosis	-0.19738373
Mean	-1050941
Median Absolute Deviation (MAD)	19579.63
Skewness	-0.010105599
Sum	-8.3602356 × 10⁹
Variance	8.7125914 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1097608	2	< 0.1%
-1048764.88	2	< 0.1%
-1086698.88	2	< 0.1%
-1053816	2	< 0.1%
-1086361	2	< 0.1%
-1088127.5	2	< 0.1%
-1047157.88	2	< 0.1%
-1084254.63	2	< 0.1%
-1044102.5	2	< 0.1%
-1045881.38	2	< 0.1%
Other values (7907)	7935	99.7%

Value	Count	Frequency (%)
-1165330.38	1	< 0.1%
-1156769.5	1	< 0.1%
-1152938.13	1	< 0.1%
-1151487.5	1	< 0.1%
-1150462.75	1	< 0.1%
-1146675.38	1	< 0.1%
-1145013.5	1	< 0.1%
-1144415.63	1	< 0.1%
-1137557.38	1	< 0.1%
-1135094.88	1	< 0.1%

Value	Count	Frequency (%)
-948531.1	1	< 0.1%
-949109.75	1	< 0.1%
-949751.9	1	< 0.1%
-953818.2	1	< 0.1%
-954015.8	1	< 0.1%
-954590.4	1	< 0.1%
-954979.1	1	< 0.1%
-956290.9	1	< 0.1%
-957364.9	1	< 0.1%
-957748.4	1	< 0.1%

municipality
Text

Distinct	1381
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	28
Median length	22
Mean length	7.8522942
Min length	3

Characters and Unicode

Total characters	62465
Distinct characters	65
Distinct categories	1 ?
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	308 ?
Unique (%)	3.9%

Sample

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

Value	Count	Frequency (%)
praha	1459	15.7%
příbram	90	1.0%
n.vlt	85	0.9%
hora	76	0.8%
n.sáz	73	0.8%
benešov	72	0.8%
dolní	65	0.7%
n.l	63	0.7%
kladno	60	0.6%
říčany	58	0.6%
Other values (1407)	7216	77.4%

Most occurring characters

Value	Count	Frequency (%)
a	5581	8.9%
e	4961	7.9%
o	4465	7.1%
r	3449	5.5%
n	3006	4.8%
i	2978	4.8%
c	2606	4.2%
v	2448	3.9%
h	2345	3.8%
l	2212	3.5%
Other values (55)	28414	45.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	62465	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	5581	8.9%
e	4961	7.9%
o	4465	7.1%
r	3449	5.5%
n	3006	4.8%
i	2978	4.8%
c	2606	4.2%
v	2448	3.9%
h	2345	3.8%
l	2212	3.5%
Other values (55)	28414	45.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	62465	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	5581	8.9%
e	4961	7.9%
o	4465	7.1%
r	3449	5.5%
n	3006	4.8%
i	2978	4.8%
c	2606	4.2%
v	2448	3.9%
h	2345	3.8%
l	2212	3.5%
Other values (55)	28414	45.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	62465	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	5581	8.9%
e	4961	7.9%
o	4465	7.1%
r	3449	5.5%
n	3006	4.8%
i	2978	4.8%
c	2606	4.2%
v	2448	3.9%
h	2345	3.8%
l	2212	3.5%
Other values (55)	28414	45.5%

mainTrafficType
Categorical

High correlation Imbalance

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

bus	6985
train	585
tram	247
undefined	48
trolleybus	31
Other values (7)	59

Length

Max length	10
Median length	3
Mean length	3.2641106
Min length	3

Characters and Unicode

Total characters	25966
Distinct characters	18
Distinct categories	1 ?
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	4 ?
Unique (%)	0.1%

Sample

1st row	bus
2nd row	tram
3rd row	bus
4th row	bus
5th row	metroB

Common Values

Value	Count	Frequency (%)
bus	6985	87.8%
train	585	7.4%
tram	247	3.1%
undefined	48	0.6%
trolleybus	31	0.4%
metroB	22	0.3%
metroC	18	0.2%
metroA	15	0.2%
metroBC	1	< 0.1%
metroAB	1	< 0.1%
Other values (2)	2	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bus	6985	87.8%
train	585	7.4%
tram	247	3.1%
undefined	48	0.6%
trolleybus	31	0.4%
metrob	22	0.3%
metroc	18	0.2%
metroa	15	0.2%
metrobc	1	< 0.1%
metroab	1	< 0.1%
Other values (2)	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
u	7064	27.2%
b	7016	27.0%
s	7016	27.0%
r	923	3.6%
t	921	3.5%
a	832	3.2%
n	681	2.6%
i	633	2.4%
m	305	1.2%
e	186	0.7%
Other values (8)	389	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25966	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	7064	27.2%
b	7016	27.0%
s	7016	27.0%
r	923	3.6%
t	921	3.5%
a	832	3.2%
n	681	2.6%
i	633	2.4%
m	305	1.2%
e	186	0.7%
Other values (8)	389	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25966	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	7064	27.2%
b	7016	27.0%
s	7016	27.0%
r	923	3.6%
t	921	3.5%
a	832	3.2%
n	681	2.6%
i	633	2.4%
m	305	1.2%
e	186	0.7%
Other values (8)	389	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25966	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	7064	27.2%
b	7016	27.0%
s	7016	27.0%
r	923	3.6%
t	921	3.5%
a	832	3.2%
n	681	2.6%
i	633	2.4%
m	305	1.2%
e	186	0.7%
Other values (8)	389	1.5%

isTrain
Boolean

Constant Missing

Distinct	1
Distinct (%)	0.2%
Missing	7367
Missing (%)	92.6%
Memory size	124.3 KiB

True	588
(Missing)	7367

Value	Count	Frequency (%)
True	588	7.4%
(Missing)	7367	92.6%

id
Text

Unique

Distinct	7955
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	9
Median length	6
Mean length	6.0612194
Min length	3

Characters and Unicode

Total characters	48217
Distinct characters	11
Distinct categories	1 ?
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	7955 ?
Unique (%)	100.0%

Sample

1st row	7288/1
2nd row	876/1
3rd row	876/2
4th row	876/4
5th row	1274/1

Value	Count	Frequency (%)
7288/1	1	< 0.1%
1040/102	1	< 0.1%
876/2	1	< 0.1%
876/4	1	< 0.1%
1274/1	1	< 0.1%
1029/1	1	< 0.1%
1029/2	1	< 0.1%
1040/1	1	< 0.1%
1040/2	1	< 0.1%
1040/3	1	< 0.1%
Other values (7945)	7945	99.9%

Most occurring characters

Value	Count	Frequency (%)
1	8402	17.4%
/	7955	16.5%
2	6891	14.3%
3	4451	9.2%
4	3691	7.7%
6	3179	6.6%
9	3072	6.4%
7	3035	6.3%
0	2904	6.0%
5	2438	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48217	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	8402	17.4%
/	7955	16.5%
2	6891	14.3%
3	4451	9.2%
4	3691	7.7%
6	3179	6.6%
9	3072	6.4%
7	3035	6.3%
0	2904	6.0%
5	2438	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48217	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	8402	17.4%
/	7955	16.5%
2	6891	14.3%
3	4451	9.2%
4	3691	7.7%
6	3179	6.6%
9	3072	6.4%
7	3035	6.3%
0	2904	6.0%
5	2438	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48217	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	8402	17.4%
/	7955	16.5%
2	6891	14.3%
3	4451	9.2%
4	3691	7.7%
6	3179	6.6%
9	3072	6.4%
7	3035	6.3%
0	2904	6.0%
5	2438	5.1%

platform
Text

Missing

Distinct	64
Distinct (%)	0.8%
Missing	291
Missing (%)	3.7%
Memory size	124.3 KiB

Length

Max length	2
Median length	1
Mean length	1.0199635
Min length	1

Characters and Unicode

Total characters	7817
Distinct characters	29
Distinct categories	1 ?
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	16 ?
Unique (%)	0.2%

Sample

1st row	1
2nd row	A
3rd row	B
4th row	D
5th row	A

Value	Count	Frequency (%)
a	2885	37.6%
b	2580	33.7%
1	708	9.2%
2	630	8.2%
c	241	3.1%
d	162	2.1%
3	53	0.7%
f	38	0.5%
4	37	0.5%
m2	31	0.4%
Other values (54)	299	3.9%

Most occurring characters

Value	Count	Frequency (%)
A	2888	36.9%
B	2583	33.0%
1	798	10.2%
2	684	8.8%
C	241	3.1%
D	162	2.1%
M	69	0.9%
3	63	0.8%
4	43	0.6%
5	39	0.5%
Other values (19)	247	3.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7817	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	2888	36.9%
B	2583	33.0%
1	798	10.2%
2	684	8.8%
C	241	3.1%
D	162	2.1%
M	69	0.9%
3	63	0.8%
4	43	0.6%
5	39	0.5%
Other values (19)	247	3.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7817	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	2888	36.9%
B	2583	33.0%
1	798	10.2%
2	684	8.8%
C	241	3.1%
D	162	2.1%
M	69	0.9%
3	63	0.8%
4	43	0.6%
5	39	0.5%
Other values (19)	247	3.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7817	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	2888	36.9%
B	2583	33.0%
1	798	10.2%
2	684	8.8%
C	241	3.1%
D	162	2.1%
M	69	0.9%
3	63	0.8%
4	43	0.6%
5	39	0.5%
Other values (19)	247	3.2%

altIdosName
Text

Distinct	3959
Distinct (%)	49.8%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

Length

Max length	42
Median length	32
Mean length	16.333752
Min length	3

Characters and Unicode

Total characters	129935
Distinct characters	91
Distinct categories	1 ?
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	726 ?
Unique (%)	9.1%

Sample

1st row	Adamov
2nd row	Albertov
3rd row	Albertov
4th row	Albertov
5th row	Ametystová

Value	Count	Frequency (%)
dolní	136	1.1%
mladá	117	0.9%
u	113	0.9%
bn	104	0.8%
kutná	84	0.7%
kralupy	77	0.6%
brandýs	72	0.6%
pz	69	0.6%
náměstí	62	0.5%
lhota	60	0.5%
Other values (4297)	11509	92.8%

Most occurring characters

Value	Count	Frequency (%)
o	10305	7.9%
e	8667	6.7%
a	6588	5.1%
n	6512	5.0%
,	5974	4.6%
i	5840	4.5%
l	5055	3.9%
v	4998	3.8%
c	4896	3.8%
r	4794	3.7%
Other values (81)	66306	51.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	129935	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	10305	7.9%
e	8667	6.7%
a	6588	5.1%
n	6512	5.0%
,	5974	4.6%
i	5840	4.5%
l	5055	3.9%
v	4998	3.8%
c	4896	3.8%
r	4794	3.7%
Other values (81)	66306	51.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	129935	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	10305	7.9%
e	8667	6.7%
a	6588	5.1%
n	6512	5.0%
,	5974	4.6%
i	5840	4.5%
l	5055	3.9%
v	4998	3.8%
c	4896	3.8%
r	4794	3.7%
Other values (81)	66306	51.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	129935	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	10305	7.9%
e	8667	6.7%
a	6588	5.1%
n	6512	5.0%
,	5974	4.6%
i	5840	4.5%
l	5055	3.9%
v	4998	3.8%
c	4896	3.8%
r	4794	3.7%
Other values (81)	66306	51.0%

lat
Real number (ℝ)

High correlation

Distinct	7658
Distinct (%)	96.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.045962

Minimum	49.08151
Maximum	50.87979
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	49.08151
5-th percentile	49.573001
Q1	49.868391
median	50.058086
Q3	50.203508
95-th percentile	50.495497
Maximum	50.87979
Range	1.79828
Interquartile range (IQR)	0.3351172

Descriptive statistics

Standard deviation	0.27063182
Coefficient of variation (CV)	0.0054076654
Kurtosis	-0.1374126
Mean	50.045962
Median Absolute Deviation (MAD)	0.1633564
Skewness	0.017509895
Sum	398115.63
Variance	0.073241582
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50.0455	3	< 0.1%
49.5035439	3	< 0.1%
50.0541649	3	< 0.1%
49.781868	3	< 0.1%
49.7907829	3	< 0.1%
50.0452347	3	< 0.1%
50.03045	3	< 0.1%
50.1303673	3	< 0.1%
49.7418442	3	< 0.1%
50.0303841	3	< 0.1%
Other values (7648)	7925	99.6%

Value	Count	Frequency (%)
49.08151	1	< 0.1%
49.1167831	1	< 0.1%
49.11689	1	< 0.1%
49.15405	1	< 0.1%
49.15406	1	< 0.1%
49.1591225	1	< 0.1%
49.1592636	1	< 0.1%
49.1845245	1	< 0.1%
49.27779	1	< 0.1%
49.2777939	1	< 0.1%

Value	Count	Frequency (%)
50.87979	1	< 0.1%
50.87963	1	< 0.1%
50.8754	1	< 0.1%
50.87528	1	< 0.1%
50.8638268	1	< 0.1%
50.86382	1	< 0.1%
50.7868233	1	< 0.1%
50.7858963	1	< 0.1%
50.7836723	1	< 0.1%
50.7835464	1	< 0.1%

lon
Real number (ℝ)

High correlation

Distinct	7809
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.539717

Minimum	12.864244
Maximum	15.78631
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	12.864244
5-th percentile	13.823619
Q1	14.261834
median	14.50825
Q3	14.869074
95-th percentile	15.280566
Maximum	15.78631
Range	2.9220665
Interquartile range (IQR)	0.60723975

Descriptive statistics

Standard deviation	0.45328775
Coefficient of variation (CV)	0.031175831
Kurtosis	-0.0293705
Mean	14.539717
Median Absolute Deviation (MAD)	0.3067172
Skewness	-0.14812697
Sum	115663.45
Variance	0.20546979
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.0001907	3	< 0.1%
13.9774637	3	< 0.1%
14.5269966	3	< 0.1%
14.0341148	3	< 0.1%
15.3966589	3	< 0.1%
14.3214331	3	< 0.1%
13.8820763	2	< 0.1%
13.9794779	2	< 0.1%
13.9791431	2	< 0.1%
13.9242706	2	< 0.1%
Other values (7799)	7929	99.7%

Value	Count	Frequency (%)
12.8642435	1	< 0.1%
12.8645506	1	< 0.1%
12.8702087	1	< 0.1%
12.8758936	1	< 0.1%
12.8760424	1	< 0.1%
12.8822222	1	< 0.1%
12.8839626	1	< 0.1%
12.8885708	1	< 0.1%
12.8893957	1	< 0.1%
12.9196014	1	< 0.1%

Value	Count	Frequency (%)
15.78631	1	< 0.1%
15.7862339	1	< 0.1%
15.7860031	1	< 0.1%
15.78594	1	< 0.1%
15.7559061	1	< 0.1%
15.7557621	1	< 0.1%
15.7347717	1	< 0.1%
15.7330875	1	< 0.1%
15.6672764	1	< 0.1%
15.6668739	1	< 0.1%

jtskX
Real number (ℝ)

High correlation

Distinct	7822
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-735044.26

Minimum	-850532.8
Maximum	-647698.8
Zeros	0
Zeros (%)	0.0%
Negative	7955
Negative (%)	100.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	-850532.8
5-th percentile	-788916.5
Q1	-756336.63
median	-736670.9
Q3	-709802.75
95-th percentile	-682467.96
Maximum	-647698.8
Range	202834
Interquartile range (IQR)	46533.881

Descriptive statistics

Standard deviation	32965.417
Coefficient of variation (CV)	-0.044848207
Kurtosis	-0.21998152
Mean	-735044.26
Median Absolute Deviation (MAD)	22622.3
Skewness	-0.12975268
Sum	-5.8472771 × 10⁹
Variance	1.0867187 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-750531.938	3	< 0.1%
-736168.4	3	< 0.1%
-778101.8	3	< 0.1%
-724920.4	2	< 0.1%
-750553.8	2	< 0.1%
-703891.9	2	< 0.1%
-786863.2	2	< 0.1%
-755174.438	2	< 0.1%
-741588.438	2	< 0.1%
-751483.25	2	< 0.1%
Other values (7812)	7932	99.7%

Value	Count	Frequency (%)
-850532.8	1	< 0.1%
-850508.75	1	< 0.1%
-850095.9	1	< 0.1%
-849626.7	1	< 0.1%
-849617.75	1	< 0.1%
-849156.75	1	< 0.1%
-849020.9	1	< 0.1%
-848666.9	1	< 0.1%
-848589.563	1	< 0.1%
-846940.7	1	< 0.1%

Value	Count	Frequency (%)
-647698.8	1	< 0.1%
-647716.938	1	< 0.1%
-647743.438	1	< 0.1%
-647750.7	1	< 0.1%
-649851.3	1	< 0.1%
-649859.9	1	< 0.1%
-651318.563	1	< 0.1%
-651435.2	1	< 0.1%
-656258.938	1	< 0.1%
-656284.3	1	< 0.1%

jtskY
Real number (ℝ)

High correlation

Distinct	7812
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1048634.1

Minimum	-1156769.5
Maximum	-957352.06
Zeros	0
Zeros (%)	0.0%
Negative	7955
Negative (%)	100.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	-1156769.5
5-th percentile	-1099035.6
Q1	-1068103
median	-1046338.8
Q3	-1029952.3
95-th percentile	-1001684.9
Maximum	-957352.06
Range	199417.44
Interquartile range (IQR)	38150.69

Descriptive statistics

Standard deviation	29550.81
Coefficient of variation (CV)	-0.028180288
Kurtosis	-0.29916811
Mean	-1048634.1
Median Absolute Deviation (MAD)	19485
Skewness	-0.067897945
Sum	-8.3418842 × 10⁹
Variance	8.7325039 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1076871.25	3	< 0.1%
-1046686.69	3	< 0.1%
-1050322.63	3	< 0.1%
-1048139.69	2	< 0.1%
-1039733.63	2	< 0.1%
-1042082.88	2	< 0.1%
-1011797.69	2	< 0.1%
-1094660.75	2	< 0.1%
-1066512.38	2	< 0.1%
-1093739.88	2	< 0.1%
Other values (7802)	7932	99.7%

Value	Count	Frequency (%)
-1156769.5	1	< 0.1%
-1152943.25	1	< 0.1%
-1152933	1	< 0.1%
-1151493	1	< 0.1%
-1151481.88	1	< 0.1%
-1150471.13	1	< 0.1%
-1150454.38	1	< 0.1%
-1146675.38	1	< 0.1%
-1135096.5	1	< 0.1%
-1135093.25	1	< 0.1%

Value	Count	Frequency (%)
-957352.063	1	< 0.1%
-957377.75	1	< 0.1%
-957742.6	1	< 0.1%
-957754.2	1	< 0.1%
-959045.438	1	< 0.1%
-959046.1	1	< 0.1%
-968150.938	1	< 0.1%
-968162.8	1	< 0.1%
-968668.8	1	< 0.1%
-968673.7	1	< 0.1%

zone
Categorical

Distinct	31
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

P	965
5	812
6	784
8	738
7	722
Other values (26)	3934

Length

Max length	3
Median length	1
Mean length	1.2365808
Min length	0

Characters and Unicode

Total characters	9837
Distinct characters	14
Distinct categories	1 ?
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	1 ?
Unique (%)	< 0.1%

Sample

1st row	8
2nd row	P
3rd row	P
4th row	P
5th row	P

Common Values

Value	Count	Frequency (%)
P	965	12.1%
5	812	10.2%
6	784	9.9%
8	738	9.3%
7	722	9.1%
9	608	7.6%
3	574	7.2%
4	553	7.0%
1	418	5.3%
2	357	4.5%
Other values (21)	1424	17.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
p	965	12.1%
5	812	10.2%
6	784	9.9%
8	738	9.3%
7	722	9.1%
9	608	7.6%
3	574	7.2%
4	553	7.0%
1	418	5.3%
2	357	4.5%
Other values (20)	1422	17.9%

Most occurring characters

Value	Count	Frequency (%)
P	1460	14.8%
1	987	10.0%
5	843	8.6%
6	820	8.3%
7	763	7.8%
8	756	7.7%
3	708	7.2%
,	707	7.2%
4	611	6.2%
9	609	6.2%
Other values (4)	1573	16.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9837	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	1460	14.8%
1	987	10.0%
5	843	8.6%
6	820	8.3%
7	763	7.8%
8	756	7.7%
3	708	7.2%
,	707	7.2%
4	611	6.2%
9	609	6.2%
Other values (4)	1573	16.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9837	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	1460	14.8%
1	987	10.0%
5	843	8.6%
6	820	8.3%
7	763	7.8%
8	756	7.7%
3	708	7.2%
,	707	7.2%
4	611	6.2%
9	609	6.2%
Other values (4)	1573	16.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9837	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	1460	14.8%
1	987	10.0%
5	843	8.6%
6	820	8.3%
7	763	7.8%
8	756	7.7%
3	708	7.2%
,	707	7.2%
4	611	6.2%
9	609	6.2%
Other values (4)	1573	16.0%

wheelchairAccess
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

unknown	5068
notPossible	2505
possible	382

Length

Max length	11
Median length	7
Mean length	8.3076053
Min length	7

Characters and Unicode

Total characters	66087
Distinct characters	13
Distinct categories	1 ?
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	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
unknown	5068	63.7%
notPossible	2505	31.5%
possible	382	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	5068	63.7%
notpossible	2505	31.5%
possible	382	4.8%

Most occurring characters

Value	Count	Frequency (%)
n	17709	26.8%
o	10460	15.8%
s	5774	8.7%
u	5068	7.7%
k	5068	7.7%
w	5068	7.7%
i	2887	4.4%
b	2887	4.4%
l	2887	4.4%
e	2887	4.4%
Other values (3)	5392	8.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	66087	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	17709	26.8%
o	10460	15.8%
s	5774	8.7%
u	5068	7.7%
k	5068	7.7%
w	5068	7.7%
i	2887	4.4%
b	2887	4.4%
l	2887	4.4%
e	2887	4.4%
Other values (3)	5392	8.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	66087	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	17709	26.8%
o	10460	15.8%
s	5774	8.7%
u	5068	7.7%
k	5068	7.7%
w	5068	7.7%
i	2887	4.4%
b	2887	4.4%
l	2887	4.4%
e	2887	4.4%
Other values (3)	5392	8.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	66087	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	17709	26.8%
o	10460	15.8%
s	5774	8.7%
u	5068	7.7%
k	5068	7.7%
w	5068	7.7%
i	2887	4.4%
b	2887	4.4%
l	2887	4.4%
e	2887	4.4%
Other values (3)	5392	8.2%

gtfsIds
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	124.3 KiB

isMetro
Boolean

Constant Missing

Distinct	1
Distinct (%)	1.5%
Missing	7887
Missing (%)	99.1%
Memory size	124.3 KiB

True	68
(Missing)	7887

Value	Count	Frequency (%)
True	68	0.9%
(Missing)	7887	99.1%

stops_lines_id
Real number (ℝ)

High correlation Missing

Distinct	693
Distinct (%)	8.8%
Missing	99
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	625.27151

Minimum	1
Maximum	3360
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	124.3 KiB

Quantile statistics

Minimum	1
5-th percentile	92
Q1	341
median	516
Q3	741
95-th percentile	1762
Maximum	3360
Range	3359
Interquartile range (IQR)	400

Descriptive statistics

Standard deviation	538.76067
Coefficient of variation (CV)	0.86164276
Kurtosis	7.4467921
Mean	625.27151
Median Absolute Deviation (MAD)	206
Skewness	2.4853283
Sum	4912133
Variance	290263.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1761	58	0.7%
785	43	0.5%
639	42	0.5%
1763	41	0.5%
1764	41	0.5%
637	40	0.5%
406	38	0.5%
739	38	0.5%
478	38	0.5%
415	38	0.5%
Other values (683)	7439	93.5%
(Missing)	99	1.2%

Value	Count	Frequency (%)
1	11	0.1%
2	6	0.1%
3	16	0.2%
4	12	0.2%
5	14	0.2%
6	7	0.1%
7	18	0.2%
8	12	0.2%
9	18	0.2%
10	17	0.2%

Value	Count	Frequency (%)
3360	2	< 0.1%
2888	23	0.3%
2876	5	0.1%
2861	37	0.5%
2856	7	0.1%
2853	9	0.1%
2850	11	0.1%
2849	15	0.2%
2847	9	0.1%
2846	25	0.3%

stops_lines_name
Text

Missing

Distinct	693
Distinct (%)	8.8%
Missing	99
Missing (%)	1.2%
Memory size	124.3 KiB

Length

Max length	6
Median length	3
Mean length	2.9559572
Min length	1

Characters and Unicode

Total characters	23222
Distinct characters	26
Distinct categories	1 ?
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	27 ?
Unique (%)	0.3%

Sample

1st row	741
2nd row	741
3rd row	781
4th row	7
5th row	14

Value	Count	Frequency (%)
mhd	188	2.3%
1	69	0.9%
3	57	0.7%
4	53	0.7%
785	43	0.5%
639	42	0.5%
637	40	0.5%
2	39	0.5%
478	38	0.5%
415	38	0.5%
Other values (678)	7437	92.5%

Most occurring characters

Value	Count	Frequency (%)
4	2809	12.1%
3	2566	11.0%
5	2526	10.9%
1	2507	10.8%
7	2496	10.7%
6	2229	9.6%
2	1992	8.6%
9	1689	7.3%
0	1636	7.0%
8	1587	6.8%
Other values (16)	1185	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23222	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	2809	12.1%
3	2566	11.0%
5	2526	10.9%
1	2507	10.8%
7	2496	10.7%
6	2229	9.6%
2	1992	8.6%
9	1689	7.3%
0	1636	7.0%
8	1587	6.8%
Other values (16)	1185	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23222	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	2809	12.1%
3	2566	11.0%
5	2526	10.9%
1	2507	10.8%
7	2496	10.7%
6	2229	9.6%
2	1992	8.6%
9	1689	7.3%
0	1636	7.0%
8	1587	6.8%
Other values (16)	1185	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23222	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	2809	12.1%
3	2566	11.0%
5	2526	10.9%
1	2507	10.8%
7	2496	10.7%
6	2229	9.6%
2	1992	8.6%
9	1689	7.3%
0	1636	7.0%
8	1587	6.8%
Other values (16)	1185	5.1%

stops_lines_type
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.1%
Missing	99
Missing (%)	1.2%
Memory size	124.3 KiB

bus	6983
tram	513
train	318
metro	30
trolleybus	12

Length

Max length	10
Median length	3
Mean length	3.1645876
Min length	3

Characters and Unicode

Total characters	24861
Distinct characters	13
Distinct categories	1 ?
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	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
bus	6983	87.8%
tram	513	6.4%
train	318	4.0%
metro	30	0.4%
trolleybus	12	0.2%
(Missing)	99	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bus	6983	88.9%
tram	513	6.5%
train	318	4.0%
metro	30	0.4%
trolleybus	12	0.2%

Most occurring characters

Value	Count	Frequency (%)
b	6995	28.1%
u	6995	28.1%
s	6995	28.1%
t	873	3.5%
r	873	3.5%
a	831	3.3%
m	543	2.2%
i	318	1.3%
n	318	1.3%
e	42	0.2%
Other values (3)	78	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24861	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
b	6995	28.1%
u	6995	28.1%
s	6995	28.1%
t	873	3.5%
r	873	3.5%
a	831	3.3%
m	543	2.2%
i	318	1.3%
n	318	1.3%
e	42	0.2%
Other values (3)	78	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24861	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
b	6995	28.1%
u	6995	28.1%
s	6995	28.1%
t	873	3.5%
r	873	3.5%
a	831	3.3%
m	543	2.2%
i	318	1.3%
n	318	1.3%
e	42	0.2%
Other values (3)	78	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24861	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
b	6995	28.1%
u	6995	28.1%
s	6995	28.1%
t	873	3.5%
r	873	3.5%
a	831	3.3%
m	543	2.2%
i	318	1.3%
n	318	1.3%
e	42	0.2%
Other values (3)	78	0.3%

stops_lines_direction
Text

Missing

Distinct	777
Distinct (%)	9.9%
Missing	99
Missing (%)	1.2%
Memory size	124.3 KiB

Length

Max length	36
Median length	26
Mean length	15.260056
Min length	4

Characters and Unicode

Total characters	119883
Distinct characters	78
Distinct categories	1 ?
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	123 ?
Unique (%)	1.6%

Sample

1st row	Zbýšov,Chlum
2nd row	Čáslav,aut.st.
3rd row	Žleby,ZŠ
4th row	Radlická
5th row	Špejchar

Value	Count	Frequency (%)
nádraží	420	3.6%
sídliště	292	2.5%
benešov,terminál	244	2.1%
mladá	229	2.0%
boleslav,aut.st	178	1.5%
brandýs	153	1.3%
most	142	1.2%
praha,zličín	123	1.1%
příbram,aut.nádr	116	1.0%
beroun,autobusové	109	0.9%
Other values (892)	9594	82.7%

Most occurring characters

Value	Count	Frequency (%)
o	7764	6.5%
a	7723	6.4%
e	6951	5.8%
n	6374	5.3%
.	5498	4.6%
t	5191	4.3%
l	5179	4.3%
r	5125	4.3%
,	4942	4.1%
i	4348	3.6%
Other values (68)	60788	50.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	119883	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	7764	6.5%
a	7723	6.4%
e	6951	5.8%
n	6374	5.3%
.	5498	4.6%
t	5191	4.3%
l	5179	4.3%
r	5125	4.3%
,	4942	4.1%
i	4348	3.6%
Other values (68)	60788	50.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	119883	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	7764	6.5%
a	7723	6.4%
e	6951	5.8%
n	6374	5.3%
.	5498	4.6%
t	5191	4.3%
l	5179	4.3%
r	5125	4.3%
,	4942	4.1%
i	4348	3.6%
Other values (68)	60788	50.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	119883	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	7764	6.5%
a	7723	6.4%
e	6951	5.8%
n	6374	5.3%
.	5498	4.6%
t	5191	4.3%
l	5179	4.3%
r	5125	4.3%
,	4942	4.1%
i	4348	3.6%
Other values (68)	60788	50.7%

stops_lines_direction2
Text

Missing

Distinct	373
Distinct (%)	21.4%
Missing	6212
Missing (%)	78.1%
Memory size	124.3 KiB

Length

Max length	36
Median length	25
Mean length	14.729203
Min length	4

Characters and Unicode

Total characters	25673
Distinct characters	72
Distinct categories	1 ?
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	86 ?
Unique (%)	4.9%

Sample

1st row	Zbýšov,ObÚ
2nd row	Řeporyjské náměstí
3rd row	Třebonice
4th row	Michelangelova
5th row	Sídliště Řepy

Value	Count	Frequency (%)
dolní	39	1.6%
český	35	1.4%
sídliště	34	1.4%
mladá	33	1.3%
hořovice,nám.b.němcové	25	1.0%
kostela	24	1.0%
tábor,aut.nádr	23	0.9%
benešov,terminál	23	0.9%
brandýs	21	0.8%
nový	19	0.8%
Other values (459)	2222	89.0%

Most occurring characters

Value	Count	Frequency (%)
e	1778	6.9%
o	1696	6.6%
n	1392	5.4%
a	1379	5.4%
.	1229	4.8%
,	1134	4.4%
l	1127	4.4%
t	1025	4.0%
i	996	3.9%
v	885	3.4%
Other values (62)	13032	50.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25673	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1778	6.9%
o	1696	6.6%
n	1392	5.4%
a	1379	5.4%
.	1229	4.8%
,	1134	4.4%
l	1127	4.4%
t	1025	4.0%
i	996	3.9%
v	885	3.4%
Other values (62)	13032	50.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25673	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1778	6.9%
o	1696	6.6%
n	1392	5.4%
a	1379	5.4%
.	1229	4.8%
,	1134	4.4%
l	1127	4.4%
t	1025	4.0%
i	996	3.9%
v	885	3.4%
Other values (62)	13032	50.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25673	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1778	6.9%
o	1696	6.6%
n	1392	5.4%
a	1379	5.4%
.	1229	4.8%
,	1134	4.4%
l	1127	4.4%
t	1025	4.0%
i	996	3.9%
v	885	3.4%
Other values (62)	13032	50.8%

stops_lines_isNight
Boolean

Constant Missing

Distinct	1
Distinct (%)	0.2%
Missing	7391
Missing (%)	92.9%
Memory size	124.3 KiB

True	564
(Missing)	7391

Value	Count	Frequency (%)
True	564	7.1%
(Missing)	7391	92.9%

Interactions

Correlations

	avgJtskX	avgJtskY	avgLat	avgLon	cis	districtCode	idosCategory	jtskX	jtskY	lat	lon	mainTrafficType	node	stops_lines_id	stops_lines_type	wheelchairAccess	zone
avgJtskX	1.000	0.043	0.173	0.993	-0.071	0.699	0.080	0.013	-0.024	-0.020	0.014	0.133	0.046	0.016	0.043	0.027	0.096
avgJtskY	0.043	1.000	0.988	-0.064	0.050	0.736	0.104	-0.008	-0.012	-0.013	-0.009	0.105	-0.145	0.025	0.040	0.041	0.066
avgLat	0.173	0.988	1.000	0.067	0.048	0.731	0.084	-0.004	-0.015	-0.016	-0.005	0.098	-0.159	0.026	0.026	0.013	0.077
avgLon	0.993	-0.064	0.067	1.000	-0.080	0.706	0.101	0.013	-0.020	-0.017	0.014	0.135	0.068	0.013	0.035	0.027	0.091
cis	-0.071	0.050	0.048	-0.080	1.000	0.182	0.998	-0.009	0.040	0.038	-0.013	0.996	-0.337	-0.039	0.045	0.000	0.039
districtCode	0.699	0.736	0.731	0.706	0.182	1.000	0.182	0.103	0.105	0.115	0.102	0.213	0.647	0.085	0.071	0.085	0.096
idosCategory	0.080	0.104	0.084	0.101	0.998	0.182	1.000	0.041	0.000	0.027	0.062	0.997	0.082	0.023	0.046	0.000	0.039
jtskX	0.013	-0.008	-0.004	0.013	-0.009	0.103	0.041	1.000	0.102	0.225	0.993	0.002	0.029	-0.041	0.051	0.282	0.429
jtskY	-0.024	-0.012	-0.015	-0.020	0.040	0.105	0.000	0.102	1.000	0.989	-0.001	0.034	-0.005	-0.006	0.032	0.339	0.413
lat	-0.020	-0.013	-0.016	-0.017	0.038	0.115	0.027	0.225	0.989	1.000	0.123	0.038	-0.001	-0.011	0.040	0.326	0.433
lon	0.014	-0.009	-0.005	0.014	-0.013	0.102	0.062	0.993	-0.001	0.123	1.000	0.023	0.031	-0.042	0.039	0.293	0.423
mainTrafficType	0.133	0.105	0.098	0.135	0.996	0.213	0.997	0.002	0.034	0.038	0.023	1.000	0.159	0.008	0.064	0.000	0.030
node	0.046	-0.145	-0.159	0.068	-0.337	0.647	0.082	0.029	-0.005	-0.001	0.031	0.159	1.000	-0.003	0.012	0.025	0.073
stops_lines_id	0.016	0.025	0.026	0.013	-0.039	0.085	0.023	-0.041	-0.006	-0.011	-0.042	0.008	-0.003	1.000	0.551	0.010	0.080
stops_lines_type	0.043	0.040	0.026	0.035	0.045	0.071	0.046	0.051	0.032	0.040	0.039	0.064	0.012	0.551	1.000	0.010	0.092
wheelchairAccess	0.027	0.041	0.013	0.027	0.000	0.085	0.000	0.282	0.339	0.326	0.293	0.000	0.025	0.010	0.010	1.000	0.419
zone	0.096	0.066	0.077	0.091	0.039	0.096	0.039	0.429	0.413	0.433	0.423	0.030	0.073	0.080	0.092	0.419	1.000

Missing values

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.

Sample

	name	districtCode	idosCategory	idosName	fullName	uniqueName	node	cis	avgLat	avgLon	avgJtskX	avgJtskY	municipality	mainTrafficType	isTrain	id	platform	altIdosName	lat	lon	jtskX	jtskY	zone	wheelchairAccess	gtfsIds	isMetro	stops_lines_id	stops_lines_name	stops_lines_type	stops_lines_direction	stops_lines_direction2	stops_lines_isNight
0	Adamov	KH	301003.0	Adamov	Adamov	Adamov	7288.0	33.0	49.858105	15.408134	-675931.563	-1077494.13	Adamov	bus	NaN	7288/1	1	Adamov	49.858105	15.408134	-675931.563	-1077494.13	8	unknown	[U7288Z1]	NaN	741.0	741	bus	Zbýšov,Chlum	Zbýšov,ObÚ	NaN
1	Albertov	AB	301003.0	Albertov	Albertov	Albertov	876.0	58936.0	50.067917	14.420799	-743138.300	-1045162.44	Praha	tram	NaN	876/1	A	Albertov	50.067245	14.421648	-743088.400	-1045244.69	P	possible	[U876Z1P]	NaN	741.0	741	bus	Čáslav,aut.st.	NaN	NaN
2	Ametystová	AB	301003.0	Ametystová	Ametystová	Ametystová	1274.0	58937.0	49.988200	14.362217	-748508.300	-1053371.25	Praha	bus	NaN	876/2	B	Albertov	50.068684	14.420452	-743151.300	-1045074.50	P	possible	[U876Z2P]	NaN	781.0	781	bus	Žleby,ZŠ	NaN	NaN
3	Amforová	AB	301003.0	Amforová	Amforová	Amforová	1029.0	47715.0	50.041780	14.327298	-750168.750	-1047125.06	Praha	bus	NaN	876/4	D	Albertov	50.067820	14.420298	-743175.300	-1045168.13	P	possible	[U876Z4P]	NaN	7.0	7	tram	Radlická	NaN	NaN
4	Anděl	AB	301003.0	Anděl	Anděl	Anděl	1040.0	58759.0	50.071260	14.403365	-744324.000	-1044624.06	Praha	metroB	NaN	1274/1	A	Ametystová	49.988200	14.362217	-748508.300	-1053371.25	P	unknown	[U1274Z1P]	NaN	14.0	14	tram	Špejchar	NaN	NaN
5	Andělská Hora,dolní obec	KV	301003.0	Andělská Hora,dolní obec	Andělská Hora,dolní obec	Andělská Hora,dolní obec	32266.0	108.0	50.208088	12.955097	-844510.100	-1014439.13	Andělská Hora	bus	NaN	1029/1	A	Amforová	50.041850	14.327284	-750168.700	-1047117.00	P,0	unknown	[U1029Z1P, U1029Z1]	NaN	18.0	18	tram	Nádraží Podbaba	NaN	NaN
6	Andělská Hora,horní obec	KV	301003.0	Andělská Hora,horní obec	Andělská Hora,horní obec	Andělská Hora,horní obec	32265.0	109.0	50.204544	12.961039	-844152.563	-1014894.25	Andělská Hora	bus	NaN	1029/2	B	Amforová	50.041706	14.327312	-750168.800	-1047133.13	P,0	unknown	[U1029Z2P, U1029Z2]	NaN	93.0	93	tram	Sídliště Ďáblice	NaN	True
7	Andělská Hora,chaty	KV	301003.0	Andělská Hora,chaty	Andělská Hora,chaty	Andělská Hora,chaty	32267.0	110.0	50.207096	12.944674	-845262.250	-1014432.13	Andělská Hora	bus	NaN	1040/1	A	Anděl (ul. Plzeňská)	50.071930	14.403631	-744294.938	-1044552.69	P	possible	[U1040Z1P]	NaN	95.0	95	tram	Vozovna Kobylisy	NaN	True
8	Andělská Hora,rozc.	KV	301003.0	Andělská Hora,rozc.	Andělská Hora,rozcestí	Andělská Hora,rozc.	32163.0	111.0	50.200367	12.960086	-844292.100	-1015342.81	Andělská Hora	bus	NaN	1040/2	B	Anděl (ul. Plzeňská)	50.071953	14.402808	-744352.938	-1044541.94	P	possible	[U1040Z2P]	NaN	14.0	14	tram	Spořilov	NaN	NaN
9	Antala Staška	AB	301003.0	Antala Staška	Antala Staška	Antala Staška	950.0	57405.0	50.041607	14.444363	-741865.200	-1048291.00	Praha	bus	NaN	1040/3	C	Anděl (ul. Nádražní)	50.071804	14.404228	-744254.500	-1044572.13	P	possible	[U1040Z3P]	NaN	18.0	18	tram	Vozovna Pankrác	NaN	NaN

	name	districtCode	idosCategory	idosName	fullName	uniqueName	node	cis	avgLat	avgLon	avgJtskX	avgJtskY	municipality	mainTrafficType	isTrain	id	platform	altIdosName	lat	lon	jtskX	jtskY	zone	wheelchairAccess	gtfsIds	isMetro	stops_lines_id	stops_lines_name	stops_lines_type	stops_lines_direction	stops_lines_direction2	stops_lines_isNight
7945	Žleby,Markovice,lom	KH	301003.0	Žleby,Markovice,lom	Žleby,Markovice,lom	Žleby,Markovice,lom	7229.0	42983.0	49.896110	15.459562	-671743.750	-1073754.00	Žleby	bus	NaN	939/2	B	Na Havránce	50.006450	14.409917	-744843.063	-1051828.38	P	unknown	[U939Z2P]	NaN	767.0	767	bus	Dolní Slivno	NaN	NaN
7946	Žleby,nám.	KH	301003.0	Žleby,nám.	Žleby,náměstí	Žleby,nám.	7226.0	42978.0	49.889150	15.484407	-670066.800	-1074740.75	Žleby	bus	NaN	939/3	C	Na Havránce	50.006046	14.409779	-744859.000	-1051871.38	P	unknown	[U939Z3P]	NaN	431.0	431	bus	Boreč,Žebice	Skalsko,náves	NaN
7947	Žleby,Sibiř	KH	301003.0	Žleby,Sibiř	Žleby,Sibiř	Žleby,Sibiř	7227.0	42979.0	49.889164	15.471287	-671002.250	-1074623.75	Žleby	bus	NaN	939/4	D	Na Havránce	50.006012	14.409427	-744884.500	-1051871.75	P	unknown	[U939Z4P]	NaN	699.0	699	bus	Mladá Boleslav,aut.st.	NaN	NaN
7948	Žleby,Šumava	KH	301003.0	Žleby,Šumava	Žleby,Šumava	Žleby,Šumava	7243.0	42977.0	49.891228	15.490034	-669637.400	-1074561.00	Žleby	bus	NaN	404/1	A	Na Homoli	50.076324	14.530346	-735242.438	-1045299.38	P	possible	[U404Z1P]	NaN	767.0	767	bus	Bezno	Mladá Boleslav,aut.st.	NaN
7949	Žleby,Zehuby	KH	301003.0	Žleby,Zehuby	Žleby,Zehuby	Žleby,Zehuby	7245.0	42985.0	49.870136	15.482277	-670477.438	-1076820.63	Žleby	bus	NaN	404/2	B	Na Homoli	50.076138	14.530669	-735222.250	-1045322.75	P	possible	[U404Z2P]	NaN	769.0	769	bus	Rokytovec	Bezno	NaN
7950	Žleby,ZŠ	KH	301003.0	Žleby,ZŠ	Žleby,ZŠ	Žleby,ZŠ	7225.0	42981.0	49.889290	15.488659	-669761.700	-1074762.50	Žleby	bus	NaN	404/3	C	Na Homoli	50.076170	14.530213	-735254.063	-1045314.63	P,0	unknown	[U404Z3P, U404Z3]	NaN	1243.0	R43	train	Mladá Boleslav město	Turnov	NaN
7951	Žloukovice	BE	600003.0	Žloukovice	Žloukovice	Žloukovice	3273.0	5476054.0	50.016018	13.955886	-776917.900	-1046235.75	Nižbor	train	True	404/4	D	Na Homoli	50.076492	14.530392	-735236.600	-1045281.25	P,0	unknown	[U404Z4P, U404Z4]	NaN	1243.0	R43	train	Praha hl.n.	NaN	NaN
7952	Žlutice	KV	600003.0	Žlutice	Žlutice	Žlutice	32362.0	5473365.0	50.084600	13.159661	-832185.700	-1030266.50	Žlutice	train	True	599/1	A	Na Hroudě	50.070507	14.488700	-738283.563	-1045537.56	P,0	possible	[U599Z1P]	NaN	1303.0	S3	train	Praha hl.n.	Všetaty	NaN
7953	Županovice	PB	301003.0	Županovice	Županovice	Županovice	5870.0	43027.0	49.706900	14.298495	-757349.900	-1083728.63	Županovice	bus	NaN	599/2	B	Na Hroudě	50.070000	14.489271	-738250.700	-1045598.94	P,0	possible	[U599Z2P]	NaN	1303.0	S3	train	Mladá Boleslav hl.n.	NaN	NaN
7954	Žvahov	AB	301003.0	Žvahov	Žvahov	Žvahov	1155.0	59420.0	50.043987	14.401451	-744874.000	-1047610.00	Praha	bus	NaN	406/1	A	Na Hřebenech	50.051820	14.428451	-742839.600	-1047010.88	P	unknown	[U406Z1P]	NaN	431.0	431	bus	Lysá n.L.,žel.st.	Předměřice n.Jiz.,u kostela	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters