Overview

Dataset statistics

Number of variables	23
Number of observations	10000
Missing cells	8280
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.5 MiB
Average record size in memory	1.4 KiB

Variable types

Text	4
DateTime	1
Categorical	9
Numeric	9

Alerts

`time_to_ci_minutes` has 202 (2.0%) missing values	Missing
`build_duration_s` has 214 (2.1%) missing values	Missing
`pr_merge_time_hours` has 7168 (71.7%) missing values	Missing
`commit_message_length` has 696 (7.0%) missing values	Missing
`event_id` has unique values	Unique
`lines_added` has 516 (5.2%) zeros	Zeros
`lines_deleted` has 746 (7.5%) zeros	Zeros
`tests_failed` has 1248 (12.5%) zeros	Zeros

Reproduction

Analysis started	2026-02-22 18:17:54.642107
Analysis finished	2026-02-22 18:22:16.118317
Duration	4 minutes and 21.48 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

event_id
Text

Unique

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	713.0 KiB

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	160000
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	10000 ?
Unique (%)	100.0%

Sample

1st row	evt_d351e59b15fd
2nd row	evt_435c1b33622f
3rd row	evt_758099c90286
4th row	evt_312809052420
5th row	evt_0b2d75d29ec3

Value	Count	Frequency (%)
evt_d351e59b15fd	1	< 0.1%
evt_c552cf68f079	1	< 0.1%
evt_e2abc9082d72	1	< 0.1%
evt_758099c90286	1	< 0.1%
evt_312809052420	1	< 0.1%
evt_0b2d75d29ec3	1	< 0.1%
evt_19a79e8470ea	1	< 0.1%
evt_0c187cfa45db	1	< 0.1%
evt_2459e75224bc	1	< 0.1%
evt_867ddb5f5c4d	1	< 0.1%
Other values (9990)	9990	99.9%

Most occurring characters

Value	Count	Frequency (%)
e	17401	10.9%
v	10000	6.2%
t	10000	6.2%
_	10000	6.2%
a	7715	4.8%
0	7680	4.8%
f	7668	4.8%
b	7571	4.7%
7	7541	4.7%
8	7536	4.7%
Other values (9)	66888	41.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	160000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	17401	10.9%
v	10000	6.2%
t	10000	6.2%
_	10000	6.2%
a	7715	4.8%
0	7680	4.8%
f	7668	4.8%
b	7571	4.7%
7	7541	4.7%
8	7536	4.7%
Other values (9)	66888	41.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	160000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	17401	10.9%
v	10000	6.2%
t	10000	6.2%
_	10000	6.2%
a	7715	4.8%
0	7680	4.8%
f	7668	4.8%
b	7571	4.7%
7	7541	4.7%
8	7536	4.7%
Other values (9)	66888	41.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	160000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	17401	10.9%
v	10000	6.2%
t	10000	6.2%
_	10000	6.2%
a	7715	4.8%
0	7680	4.8%
f	7668	4.8%
b	7571	4.7%
7	7541	4.7%
8	7536	4.7%
Other values (9)	66888	41.8%

user_id
Text

Distinct	2897
Distinct (%)	29.0%
Missing	0
Missing (%)	0.0%
Memory size	641.0 KiB

Length

Max length	9
Median length	9
Mean length	8.6263
Min length	6

Characters and Unicode

Total characters	86263
Distinct characters	15
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	354 ?
Unique (%)	3.5%

Sample

1st row	user_2432
2nd row	user_2017
3rd row	user_930
4th row	user_1892
5th row	user_2793

Value	Count	Frequency (%)
user_1381	13	0.1%
user_2246	12	0.1%
user_836	11	0.1%
user_1677	11	0.1%
user_2558	10	0.1%
user_823	10	0.1%
user_1486	10	0.1%
user_732	9	0.1%
user_2538	9	0.1%
user_389	9	0.1%
Other values (2887)	9896	99.0%

Most occurring characters

Value	Count	Frequency (%)
u	10000	11.6%
s	10000	11.6%
e	10000	11.6%
r	10000	11.6%
_	10000	11.6%
2	6353	7.4%
1	6159	7.1%
3	3117	3.6%
8	3038	3.5%
9	3037	3.5%
Other values (5)	14559	16.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	86263	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	10000	11.6%
s	10000	11.6%
e	10000	11.6%
r	10000	11.6%
_	10000	11.6%
2	6353	7.4%
1	6159	7.1%
3	3117	3.6%
8	3038	3.5%
9	3037	3.5%
Other values (5)	14559	16.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	86263	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	10000	11.6%
s	10000	11.6%
e	10000	11.6%
r	10000	11.6%
_	10000	11.6%
2	6353	7.4%
1	6159	7.1%
3	3117	3.6%
8	3038	3.5%
9	3037	3.5%
Other values (5)	14559	16.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	86263	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	10000	11.6%
s	10000	11.6%
e	10000	11.6%
r	10000	11.6%
_	10000	11.6%
2	6353	7.4%
1	6159	7.1%
3	3117	3.6%
8	3038	3.5%
9	3037	3.5%
Other values (5)	14559	16.9%

repo_id
Text

Distinct	1200
Distinct (%)	12.0%
Missing	0
Missing (%)	0.0%
Memory size	635.7 KiB

Length

Max length	9
Median length	8
Mean length	8.081
Min length	6

Characters and Unicode

Total characters	80810
Distinct characters	15
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	repo_575
2nd row	repo_1112
3rd row	repo_103
4th row	repo_988
5th row	repo_419

Value	Count	Frequency (%)
repo_1017	20	0.2%
repo_354	18	0.2%
repo_706	18	0.2%
repo_247	17	0.2%
repo_687	17	0.2%
repo_815	17	0.2%
repo_1019	16	0.2%
repo_636	16	0.2%
repo_926	16	0.2%
repo_127	16	0.2%
Other values (1190)	9829	98.3%

Most occurring characters

Value	Count	Frequency (%)
r	10000	12.4%
e	10000	12.4%
p	10000	12.4%
o	10000	12.4%
_	10000	12.4%
1	5387	6.7%
6	2911	3.6%
9	2905	3.6%
8	2840	3.5%
3	2832	3.5%
Other values (5)	13935	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80810	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	10000	12.4%
e	10000	12.4%
p	10000	12.4%
o	10000	12.4%
_	10000	12.4%
1	5387	6.7%
6	2911	3.6%
9	2905	3.6%
8	2840	3.5%
3	2832	3.5%
Other values (5)	13935	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80810	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	10000	12.4%
e	10000	12.4%
p	10000	12.4%
o	10000	12.4%
_	10000	12.4%
1	5387	6.7%
6	2911	3.6%
9	2905	3.6%
8	2840	3.5%
3	2832	3.5%
Other values (5)	13935	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80810	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	10000	12.4%
e	10000	12.4%
p	10000	12.4%
o	10000	12.4%
_	10000	12.4%
1	5387	6.7%
6	2911	3.6%
9	2905	3.6%
8	2840	3.5%
3	2832	3.5%
Other values (5)	13935	17.2%

timestamp
Date

Distinct	9955
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Memory size	547.0 KiB

Minimum	2025-01-07 12:20:00
Maximum	2025-03-29 17:26:00
Invalid dates	9998
Invalid dates (%)	> 99.9%

Histogram with fixed size bins (bins=2)

event_type
Categorical

Distinct	42
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	636.7 KiB

test_run	868
push	860
ci_run	852
commit	835
pr_merged	833
Other values (37)	5752

Length

Max length	16
Median length	14
Mean length	8.1824
Min length	4

Characters and Unicode

Total characters	81824
Distinct characters	34
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	pr_opened
2nd row	Commit
3rd row	pr_merged
4th row	pr_opened
5th row	Review_comment

Common Values

Value	Count	Frequency (%)
test_run	868	8.7%
push	860	8.6%
ci_run	852	8.5%
commit	835	8.3%
pr_merged	833	8.3%
review_comment	824	8.2%
pr_opened	810	8.1%
PUSH	276	2.8%
PR_OPENED	268	2.7%
REVIEW_COMMENT	264	2.6%
Other values (32)	3310	33.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
push	1466	14.7%
test_run	1430	14.3%
review_comment	1426	14.3%
ci_run	1423	14.2%
commit	1423	14.2%
pr_merged	1418	14.2%
pr_opened	1414	14.1%

Most occurring characters

Value	Count	Frequency (%)
e	9091	11.1%
_	7111	8.7%
r	6610	8.1%
m	5684	6.9%
n	4546	5.6%
t	4392	5.4%
p	3904	4.8%
u	3454	4.2%
i	3402	4.2%
o	3387	4.1%
Other values (24)	30243	37.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	81824	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	9091	11.1%
_	7111	8.7%
r	6610	8.1%
m	5684	6.9%
n	4546	5.6%
t	4392	5.4%
p	3904	4.8%
u	3454	4.2%
i	3402	4.2%
o	3387	4.1%
Other values (24)	30243	37.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	81824	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	9091	11.1%
_	7111	8.7%
r	6610	8.1%
m	5684	6.9%
n	4546	5.6%
t	4392	5.4%
p	3904	4.8%
u	3454	4.2%
i	3402	4.2%
o	3387	4.1%
Other values (24)	30243	37.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	81824	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	9091	11.1%
_	7111	8.7%
r	6610	8.1%
m	5684	6.9%
n	4546	5.6%
t	4392	5.4%
p	3904	4.8%
u	3454	4.2%
i	3402	4.2%
o	3387	4.1%
Other values (24)	30243	37.0%

lines_added
Real number (ℝ)

Zeros

Distinct	138
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.0052

Minimum	0
Maximum	5000
Zeros	516
Zeros (%)	5.2%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	13
Q3	27
95-th percentile	62
Maximum	5000
Range	5000
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	368.92339
Coefficient of variation (CV)	7.8485656
Kurtosis	175.80989
Mean	47.0052
Median Absolute Deviation (MAD)	9
Skewness	13.312645
Sum	470052
Variance	136104.47
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	516	5.2%
1	446	4.5%
4	418	4.2%
2	413	4.1%
3	405	4.0%
6	373	3.7%
8	362	3.6%
5	337	3.4%
7	335	3.4%
10	328	3.3%
Other values (128)	6067	60.7%

Value	Count	Frequency (%)
0	516	5.2%
1	446	4.5%
2	413	4.1%
3	405	4.0%
4	418	4.2%
5	337	3.4%
6	373	3.7%
7	335	3.4%
8	362	3.6%
9	267	2.7%

Value	Count	Frequency (%)
5000	55	0.5%
196	1	< 0.1%
191	1	< 0.1%
189	1	< 0.1%
185	1	< 0.1%
179	1	< 0.1%
178	1	< 0.1%
174	1	< 0.1%
154	2	< 0.1%
149	1	< 0.1%

lines_deleted
Real number (ℝ)

Zeros

Distinct	92
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.3577

Minimum	0
Maximum	4000
Zeros	746
Zeros (%)	7.5%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	8
Q3	17
95-th percentile	37
Maximum	4000
Range	4000
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	318.27999
Coefficient of variation (CV)	8.5197962
Kurtosis	150.88059
Mean	37.3577
Median Absolute Deviation (MAD)	6
Skewness	12.354087
Sum	373577
Variance	101302.15
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	746	7.5%
1	719	7.2%
2	653	6.5%
3	630	6.3%
4	555	5.5%
5	495	5.0%
7	451	4.5%
8	450	4.5%
6	441	4.4%
9	370	3.7%
Other values (82)	4490	44.9%

Value	Count	Frequency (%)
0	746	7.5%
1	719	7.2%
2	653	6.5%
3	630	6.3%
4	555	5.5%
5	495	5.0%
6	441	4.4%
7	451	4.5%
8	450	4.5%
9	370	3.7%

Value	Count	Frequency (%)
4000	64	0.6%
138	2	< 0.1%
128	1	< 0.1%
124	1	< 0.1%
101	1	< 0.1%
99	1	< 0.1%
96	1	< 0.1%
92	1	< 0.1%
90	1	< 0.1%
89	1	< 0.1%

files_changed
Real number (ℝ)

Distinct	23
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.823

Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	9
Maximum	25
Range	24
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.7740297
Coefficient of variation (CV)	0.98265308
Kurtosis	6.923531
Mean	2.823
Median Absolute Deviation (MAD)	1
Skewness	2.3211964
Sum	28230
Variance	7.6952405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
1	4825	48.2%
2	1457	14.6%
3	1048	10.5%
4	808	8.1%
5	523	5.2%
6	376	3.8%
7	268	2.7%
8	185	1.8%
9	146	1.5%
10	99	1.0%
Other values (13)	265	2.6%

Value	Count	Frequency (%)
1	4825	48.2%
2	1457	14.6%
3	1048	10.5%
4	808	8.1%
5	523	5.2%
6	376	3.8%
7	268	2.7%
8	185	1.8%
9	146	1.5%
10	99	1.0%

Value	Count	Frequency (%)
25	1	< 0.1%
22	2	< 0.1%
21	3	< 0.1%
20	4	< 0.1%
19	7	0.1%
18	11	0.1%
17	6	0.1%
16	14	0.1%
15	27	0.3%
14	32	0.3%

dominant_language
Categorical

Distinct	36
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	606.5 KiB

C++	1180
Python	927
Java	920
Go	864
Rust	846
Other values (31)	5263

Length

Max length	12
Median length	10
Mean length	5.0949
Min length	2

Characters and Unicode

Total characters	50949
Distinct characters	32
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	Python
2nd row	GO
3rd row	Rust
4th row	C++
5th row	C++

Common Values

Value	Count	Frequency (%)
C++	1180	11.8%
Python	927	9.3%
Java	920	9.2%
Go	864	8.6%
Rust	846	8.5%
JavaScript	680	6.8%
PYTHON	317	3.2%
java	316	3.2%
python	315	3.1%
JAVASCRIPT	309	3.1%
Other values (26)	3326	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
python	1734	17.3%
javascript	1720	17.2%
java	1691	16.9%
go	1636	16.4%
c	1629	16.3%
rust	1590	15.9%

Most occurring characters

Value	Count	Frequency (%)
a	5492	10.8%
t	4028	7.9%
+	3258	6.4%
v	2746	5.4%
J	2710	5.3%
o	2681	5.3%
	2062	4.0%
s	1871	3.7%
p	1733	3.4%
P	1721	3.4%
Other values (22)	22647	44.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50949	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	5492	10.8%
t	4028	7.9%
+	3258	6.4%
v	2746	5.4%
J	2710	5.3%
o	2681	5.3%
	2062	4.0%
s	1871	3.7%
p	1733	3.4%
P	1721	3.4%
Other values (22)	22647	44.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50949	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	5492	10.8%
t	4028	7.9%
+	3258	6.4%
v	2746	5.4%
J	2710	5.3%
o	2681	5.3%
	2062	4.0%
s	1871	3.7%
p	1733	3.4%
P	1721	3.4%
Other values (22)	22647	44.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50949	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	5492	10.8%
t	4028	7.9%
+	3258	6.4%
v	2746	5.4%
J	2710	5.3%
o	2681	5.3%
	2062	4.0%
s	1871	3.7%
p	1733	3.4%
P	1721	3.4%
Other values (22)	22647	44.5%

ci_status
Categorical

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	629.0 KiB

SUCCESS	1586
success	1505
failure	1189
FAILED	1168
cancelled	1142
Other values (19)	3410

Length

Max length	11
Median length	7
Mean length	7.3929
Min length	6

Characters and Unicode

Total characters	73929
Distinct characters	23
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	SUCCESS
2nd row	FAILED
3rd row	failed
4th row	SUCCESS
5th row	failure

Common Values

Value	Count	Frequency (%)
SUCCESS	1586	15.9%
success	1505	15.0%
failure	1189	11.9%
FAILED	1168	11.7%
cancelled	1142	11.4%
Success	507	5.1%
CANCELLED	383	3.8%
FAILURE	367	3.7%
failed	359	3.6%
Failed	281	2.8%
Other values (14)	1513	15.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
success	3998	40.0%
failed	2027	20.3%
failure	2009	20.1%
cancelled	1966	19.7%

Most occurring characters

Value	Count	Frequency (%)
e	7639	10.3%
c	7280	9.8%
s	6140	8.3%
S	5854	7.9%
l	5405	7.3%
C	4648	6.3%
E	4327	5.9%
a	3864	5.2%
u	3839	5.2%
L	2563	3.5%
Other values (13)	22370	30.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	73929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	7639	10.3%
c	7280	9.8%
s	6140	8.3%
S	5854	7.9%
l	5405	7.3%
C	4648	6.3%
E	4327	5.9%
a	3864	5.2%
u	3839	5.2%
L	2563	3.5%
Other values (13)	22370	30.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	73929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	7639	10.3%
c	7280	9.8%
s	6140	8.3%
S	5854	7.9%
l	5405	7.3%
C	4648	6.3%
E	4327	5.9%
a	3864	5.2%
u	3839	5.2%
L	2563	3.5%
Other values (13)	22370	30.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	73929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	7639	10.3%
c	7280	9.8%
s	6140	8.3%
S	5854	7.9%
l	5405	7.3%
C	4648	6.3%
E	4327	5.9%
a	3864	5.2%
u	3839	5.2%
L	2563	3.5%
Other values (13)	22370	30.3%

coverage_percent
Text

Distinct	1262
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Memory size	598.2 KiB

Length

Max length	19
Median length	4
Mean length	4.2383
Min length	3

Characters and Unicode

Total characters	42383
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	456 ?
Unique (%)	4.6%

Sample

1st row	76.5
2nd row	75.5
3rd row	59.0
4th row	59.3
5th row	86.8

Value	Count	Frequency (%)
100	472	4.7%
74.2	34	0.3%
74.4	33	0.3%
76.5	33	0.3%
77.0	33	0.3%
79.2	33	0.3%
75.3	32	0.3%
75.8	32	0.3%
69.2	32	0.3%
74.8	31	0.3%
Other values (1252)	9235	92.3%

Most occurring characters

Value	Count	Frequency (%)
.	8818	20.8%
7	4867	11.5%
6	4237	10.0%
8	4158	9.8%
9	3299	7.8%
5	3294	7.8%
0	3037	7.2%
1	2712	6.4%
4	2626	6.2%
2	2285	5.4%
Other values (3)	3050	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	42383	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	8818	20.8%
7	4867	11.5%
6	4237	10.0%
8	4158	9.8%
9	3299	7.8%
5	3294	7.8%
0	3037	7.2%
1	2712	6.4%
4	2626	6.2%
2	2285	5.4%
Other values (3)	3050	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	42383	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	8818	20.8%
7	4867	11.5%
6	4237	10.0%
8	4158	9.8%
9	3299	7.8%
5	3294	7.8%
0	3037	7.2%
1	2712	6.4%
4	2626	6.2%
2	2285	5.4%
Other values (3)	3050	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	42383	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	8818	20.8%
7	4867	11.5%
6	4237	10.0%
8	4158	9.8%
9	3299	7.8%
5	3294	7.8%
0	3037	7.2%
1	2712	6.4%
4	2626	6.2%
2	2285	5.4%
Other values (3)	3050	7.2%

editor
Categorical

Distinct	34
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	609.4 KiB

vim	1252
Vim	1106
Sublime	892
Nano	882
IntelliJ	699
Other values (29)	5169

Length

Max length	10
Median length	8
Mean length	5.3882
Min length	3

Characters and Unicode

Total characters	53882
Distinct characters	31
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	VSCODE
2nd row	VSCode
3rd row	VIM
4th row	sublime
5th row	Vim

Common Values

Value	Count	Frequency (%)
vim	1252	12.5%
Vim	1106	11.1%
Sublime	892	8.9%
Nano	882	8.8%
IntelliJ	699	7.0%
VSCode	691	6.9%
VIM	600	6.0%
SUBLIME	313	3.1%
vscode	313	3.1%
intellij	308	3.1%
Other values (24)	2944	29.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vim	3315	33.1%
intellij	1712	17.1%
vscode	1704	17.0%
sublime	1641	16.4%
nano	1628	16.3%

Most occurring characters

Value	Count	Frequency (%)
i	5647	10.5%
l	4023	7.5%
e	4014	7.4%
m	3939	7.3%
V	3284	6.1%
n	2985	5.5%
I	2733	5.1%
o	2653	4.9%
S	2454	4.6%
	2018	3.7%
Other values (21)	20132	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	53882	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	5647	10.5%
l	4023	7.5%
e	4014	7.4%
m	3939	7.3%
V	3284	6.1%
n	2985	5.5%
I	2733	5.1%
o	2653	4.9%
S	2454	4.6%
	2018	3.7%
Other values (21)	20132	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	53882	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	5647	10.5%
l	4023	7.5%
e	4014	7.4%
m	3939	7.3%
V	3284	6.1%
n	2985	5.5%
I	2733	5.1%
o	2653	4.9%
S	2454	4.6%
	2018	3.7%
Other values (21)	20132	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	53882	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	5647	10.5%
l	4023	7.5%
e	4014	7.4%
m	3939	7.3%
V	3284	6.1%
n	2985	5.5%
I	2733	5.1%
o	2653	4.9%
S	2454	4.6%
	2018	3.7%
Other values (21)	20132	37.4%

os
Categorical

Distinct	26
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	607.5 KiB

linux	1555
Linux	1367
WIN	1139
Windows	1100
macOS	798
Other values (21)	4041

Length

Max length	9
Median length	5
Mean length	5.199
Min length	3

Characters and Unicode

Total characters	51990
Distinct characters	25
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	WIN
2nd row	macOS
3rd row	Linux
4th row	windows
5th row	WIN

Common Values

Value	Count	Frequency (%)
linux	1555	15.6%
Linux	1367	13.7%
WIN	1139	11.4%
Windows	1100	11.0%
macOS	798	8.0%
LINUX	707	7.1%
MACOS	375	3.8%
macos	368	3.7%
windows	350	3.5%
WINDOWS	345	3.5%
Other values (16)	1896	19.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
linux	4007	40.1%
windows	2005	20.1%
win	1996	20.0%
macos	1992	19.9%

Most occurring characters

Value	Count	Frequency (%)
n	5549	10.7%
i	5549	10.7%
W	3595	6.9%
u	3218	6.2%
x	3218	6.2%
I	2459	4.7%
N	2459	4.7%
w	2411	4.6%
s	2341	4.5%
o	2341	4.5%
Other values (15)	18850	36.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	51990	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	5549	10.7%
i	5549	10.7%
W	3595	6.9%
u	3218	6.2%
x	3218	6.2%
I	2459	4.7%
N	2459	4.7%
w	2411	4.6%
s	2341	4.5%
o	2341	4.5%
Other values (15)	18850	36.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	51990	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	5549	10.7%
i	5549	10.7%
W	3595	6.9%
u	3218	6.2%
x	3218	6.2%
I	2459	4.7%
N	2459	4.7%
w	2411	4.6%
s	2341	4.5%
o	2341	4.5%
Other values (15)	18850	36.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	51990	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	5549	10.7%
i	5549	10.7%
W	3595	6.9%
u	3218	6.2%
x	3218	6.2%
I	2459	4.7%
N	2459	4.7%
w	2411	4.6%
s	2341	4.5%
o	2341	4.5%
Other values (15)	18850	36.3%

time_to_ci_minutes
Real number (ℝ)

Missing

Distinct	2799
Distinct (%)	28.6%
Missing	202
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.955687

Minimum	0
Maximum	1578.3
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1.5985
Q1	6.24
median	10.35
Q3	14.88
95-th percentile	191.2345
Maximum	1578.3
Range	1578.3
Interquartile range (IQR)	8.64

Descriptive statistics

Standard deviation	163.76552
Coefficient of variation (CV)	3.642821
Kurtosis	29.219747
Mean	44.955687
Median Absolute Deviation (MAD)	4.3
Skewness	5.2746384
Sum	440475.82
Variance	26819.146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.34	17	0.2%
6.51	14	0.1%
9.6	14	0.1%
14.05	14	0.1%
10.62	13	0.1%
7.98	13	0.1%
10.33	13	0.1%
10.03	13	0.1%
9.94	12	0.1%
10.5	12	0.1%
Other values (2789)	9663	96.6%
(Missing)	202	2.0%

Value	Count	Frequency (%)
0	1	< 0.1%
0.01	3	< 0.1%
0.02	4	< 0.1%
0.03	3	< 0.1%
0.04	4	< 0.1%
0.05	3	< 0.1%
0.06	3	< 0.1%
0.07	5	0.1%
0.08	3	< 0.1%
0.09	5	0.1%

Value	Count	Frequency (%)
1578.3	1	< 0.1%
1499.29	1	< 0.1%
1488.04	1	< 0.1%
1475.71	1	< 0.1%
1469.32	1	< 0.1%
1414.65	1	< 0.1%
1405.11	1	< 0.1%
1394.74	1	< 0.1%
1389.66	1	< 0.1%
1384.39	1	< 0.1%

build_duration_s
Real number (ℝ)

Missing

Distinct	8677
Distinct (%)	88.7%
Missing	214
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	283.48771

Minimum	0.19
Maximum	749.24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0.19
5-th percentile	7.04
Q1	201.4575
median	290.845
Q3	374.4775
95-th percentile	493.745
Maximum	749.24
Range	749.05
Interquartile range (IQR)	173.02

Descriptive statistics

Standard deviation	134.41505
Coefficient of variation (CV)	0.47414771
Kurtosis	-0.17212749
Mean	283.48771
Median Absolute Deviation (MAD)	86.605
Skewness	-0.18549515
Sum	2774210.7
Variance	18067.405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
269.68	5	0.1%
4.29	4	< 0.1%
218.96	4	< 0.1%
7.43	4	< 0.1%
4.89	4	< 0.1%
5.04	4	< 0.1%
5.79	4	< 0.1%
306.69	3	< 0.1%
288.54	3	< 0.1%
6.97	3	< 0.1%
Other values (8667)	9748	97.5%
(Missing)	214	2.1%

Value	Count	Frequency (%)
0.19	1	< 0.1%
0.21	1	< 0.1%
0.32	1	< 0.1%
0.35	1	< 0.1%
0.4	1	< 0.1%
0.45	1	< 0.1%
0.5	2	< 0.1%
0.68	2	< 0.1%
0.75	1	< 0.1%
0.76	1	< 0.1%

Value	Count	Frequency (%)
749.24	1	< 0.1%
716.96	1	< 0.1%
705.18	1	< 0.1%
703.93	1	< 0.1%
700.23	1	< 0.1%
688.26	1	< 0.1%
682.62	1	< 0.1%
680.82	1	< 0.1%
669.58	1	< 0.1%
669.06	1	< 0.1%

tests_run
Real number (ℝ)

Distinct	249
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	119.281

Minimum	0
Maximum	273
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	53
Q1	92
median	119
Q3	146
95-th percentile	185
Maximum	273
Range	273
Interquartile range (IQR)	54

Descriptive statistics

Standard deviation	40.091572
Coefficient of variation (CV)	0.3361103
Kurtosis	0.044847012
Mean	119.281
Median Absolute Deviation (MAD)	27
Skewness	0.023541102
Sum	1192810
Variance	1607.3342
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
117	119	1.2%
111	117	1.2%
126	116	1.2%
134	113	1.1%
123	111	1.1%
113	109	1.1%
112	106	1.1%
114	106	1.1%
137	105	1.1%
106	105	1.1%
Other values (239)	8893	88.9%

Value	Count	Frequency (%)
0	15	0.1%
1	2	< 0.1%
4	3	< 0.1%
5	3	< 0.1%
6	4	< 0.1%
7	5	0.1%
8	1	< 0.1%
9	4	< 0.1%
10	4	< 0.1%
11	4	< 0.1%

Value	Count	Frequency (%)
273	1	< 0.1%
270	1	< 0.1%
268	1	< 0.1%
260	1	< 0.1%
257	2	< 0.1%
255	2	< 0.1%
251	1	< 0.1%
250	2	< 0.1%
246	1	< 0.1%
245	1	< 0.1%

tests_failed
Real number (ℝ)

Zeros

Distinct	153
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.4599

Minimum	0
Maximum	245
Zeros	1248
Zeros (%)	12.5%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	10
Q3	15
95-th percentile	25
Maximum	245
Range	245
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	19.378053
Coefficient of variation (CV)	1.5552334
Kurtosis	47.989711
Mean	12.4599
Median Absolute Deviation (MAD)	5
Skewness	6.3459311
Sum	124599
Variance	375.50894
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1248	12.5%
11	510	5.1%
8	494	4.9%
9	491	4.9%
7	475	4.8%
12	467	4.7%
10	459	4.6%
13	448	4.5%
15	439	4.4%
6	431	4.3%
Other values (143)	4538	45.4%

Value	Count	Frequency (%)
0	1248	12.5%
1	286	2.9%
2	294	2.9%
3	345	3.5%
4	384	3.8%
5	396	4.0%
6	431	4.3%
7	475	4.8%
8	494	4.9%
9	491	4.9%

Value	Count	Frequency (%)
245	1	< 0.1%
240	1	< 0.1%
237	1	< 0.1%
220	1	< 0.1%
209	1	< 0.1%
208	1	< 0.1%
207	1	< 0.1%
203	1	< 0.1%
201	3	< 0.1%
196	1	< 0.1%

is_weekend
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	587.7 KiB

0	1814
No	1794
False	1779
false	1750
Yes	744
Other values (3)	2119

Length

Max length	5
Median length	4
Mean length	3.164
Min length	1

Characters and Unicode

Total characters	31640
Distinct characters	15
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	1
2nd row	False
3rd row	No
4th row	0
5th row	false

Common Values

Value	Count	Frequency (%)
0	1814	18.1%
No	1794	17.9%
False	1779	17.8%
false	1750	17.5%
Yes	744	7.4%
true	714	7.1%
1	705	7.0%
True	700	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
false	3529	35.3%
0	1814	18.1%
no	1794	17.9%
true	1414	14.1%
yes	744	7.4%
1	705	7.0%

Most occurring characters

Value	Count	Frequency (%)
e	5687	18.0%
s	4273	13.5%
a	3529	11.2%
l	3529	11.2%
0	1814	5.7%
N	1794	5.7%
o	1794	5.7%
F	1779	5.6%
f	1750	5.5%
r	1414	4.5%
Other values (5)	4277	13.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	31640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5687	18.0%
s	4273	13.5%
a	3529	11.2%
l	3529	11.2%
0	1814	5.7%
N	1794	5.7%
o	1794	5.7%
F	1779	5.6%
f	1750	5.5%
r	1414	4.5%
Other values (5)	4277	13.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	31640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5687	18.0%
s	4273	13.5%
a	3529	11.2%
l	3529	11.2%
0	1814	5.7%
N	1794	5.7%
o	1794	5.7%
F	1779	5.6%
f	1750	5.5%
r	1414	4.5%
Other values (5)	4277	13.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	31640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5687	18.0%
s	4273	13.5%
a	3529	11.2%
l	3529	11.2%
0	1814	5.7%
N	1794	5.7%
o	1794	5.7%
F	1779	5.6%
f	1750	5.5%
r	1414	4.5%
Other values (5)	4277	13.5%

pr_merge_time_hours
Real number (ℝ)

Missing

Distinct	866
Distinct (%)	30.6%
Missing	7168
Missing (%)	71.7%
Infinite	0
Infinite (%)	0.0%
Mean	36.583567

Minimum	-9.361779
Maximum	119.6
Zeros	2
Zeros (%)	< 0.1%
Negative	38
Negative (%)	0.4%
Memory size	78.3 KiB

Quantile statistics

Minimum	-9.361779
5-th percentile	3.455
Q1	19.2
median	35.15
Q3	51.525
95-th percentile	75.945
Maximum	119.6
Range	128.96178
Interquartile range (IQR)	32.325

Descriptive statistics

Standard deviation	22.440627
Coefficient of variation (CV)	0.61340731
Kurtosis	-0.28449259
Mean	36.583567
Median Absolute Deviation (MAD)	16.05
Skewness	0.40336244
Sum	103604.66
Variance	503.58175
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23.1	11	0.1%
33.9	10	0.1%
17.1	10	0.1%
23.9	10	0.1%
49.3	9	0.1%
36.3	9	0.1%
22.5	9	0.1%
13.2	9	0.1%
22.8	9	0.1%
57.9	8	0.1%
Other values (856)	2738	27.4%
(Missing)	7168	71.7%

Value	Count	Frequency (%)
-9.361778985	1	< 0.1%
-9.027019745	1	< 0.1%
-8.308228582	1	< 0.1%
-7.103069039	1	< 0.1%
-7.059727093	1	< 0.1%
-7.00612443	1	< 0.1%
-6.838305727	1	< 0.1%
-6.703728368	1	< 0.1%
-6.505899091	1	< 0.1%
-6.231654193	1	< 0.1%

Value	Count	Frequency (%)
119.6	1	< 0.1%
118.2	1	< 0.1%
115.1	1	< 0.1%
114.2	1	< 0.1%
113.8	1	< 0.1%
108.1	1	< 0.1%
107.6	1	< 0.1%
107	1	< 0.1%
104.4	1	< 0.1%
102.5	1	< 0.1%

label_is_high_quality
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	588.5 KiB

false	2347
False	2335
No	2294
0	2284
True	199
Other values (3)	541

Length

Max length	5
Median length	4
Mean length	3.2538
Min length	1

Characters and Unicode

Total characters	32538
Distinct characters	15
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	0
2nd row	0
3rd row	False
4th row	No
5th row	False

Common Values

Value	Count	Frequency (%)
false	2347	23.5%
False	2335	23.4%
No	2294	22.9%
0	2284	22.8%
True	199	2.0%
true	191	1.9%
1	177	1.8%
Yes	173	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
false	4682	46.8%
no	2294	22.9%
0	2284	22.8%
true	390	3.9%
1	177	1.8%
yes	173	1.7%

Most occurring characters

Value	Count	Frequency (%)
e	5245	16.1%
s	4855	14.9%
a	4682	14.4%
l	4682	14.4%
f	2347	7.2%
F	2335	7.2%
N	2294	7.1%
o	2294	7.1%
0	2284	7.0%
r	390	1.2%
Other values (5)	1130	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	32538	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5245	16.1%
s	4855	14.9%
a	4682	14.4%
l	4682	14.4%
f	2347	7.2%
F	2335	7.2%
N	2294	7.1%
o	2294	7.1%
0	2284	7.0%
r	390	1.2%
Other values (5)	1130	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	32538	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5245	16.1%
s	4855	14.9%
a	4682	14.4%
l	4682	14.4%
f	2347	7.2%
F	2335	7.2%
N	2294	7.1%
o	2294	7.1%
0	2284	7.0%
r	390	1.2%
Other values (5)	1130	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	32538	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5245	16.1%
s	4855	14.9%
a	4682	14.4%
l	4682	14.4%
f	2347	7.2%
F	2335	7.2%
N	2294	7.1%
o	2294	7.1%
0	2284	7.0%
r	390	1.2%
Other values (5)	1130	3.5%

exam_period
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	587.9 KiB

0	2068
No	2015
false	2013
False	1996
Yes	510
Other values (3)	1398

Length

Max length	5
Median length	4
Mean length	3.1873
Min length	1

Characters and Unicode

Total characters	31873
Distinct characters	15
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	true
2nd row	No
3rd row	false
4th row	No
5th row	false

Common Values

Value	Count	Frequency (%)
0	2068	20.7%
No	2015	20.2%
false	2013	20.1%
False	1996	20.0%
Yes	510	5.1%
True	477	4.8%
1	464	4.6%
true	457	4.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
false	4009	40.1%
0	2068	20.7%
no	2015	20.2%
true	934	9.3%
yes	510	5.1%
1	464	4.6%

Most occurring characters

Value	Count	Frequency (%)
e	5453	17.1%
s	4519	14.2%
a	4009	12.6%
l	4009	12.6%
0	2068	6.5%
N	2015	6.3%
o	2015	6.3%
f	2013	6.3%
F	1996	6.3%
r	934	2.9%
Other values (5)	2842	8.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	31873	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5453	17.1%
s	4519	14.2%
a	4009	12.6%
l	4009	12.6%
0	2068	6.5%
N	2015	6.3%
o	2015	6.3%
f	2013	6.3%
F	1996	6.3%
r	934	2.9%
Other values (5)	2842	8.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	31873	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5453	17.1%
s	4519	14.2%
a	4009	12.6%
l	4009	12.6%
0	2068	6.5%
N	2015	6.3%
o	2015	6.3%
f	2013	6.3%
F	1996	6.3%
r	934	2.9%
Other values (5)	2842	8.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	31873	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5453	17.1%
s	4519	14.2%
a	4009	12.6%
l	4009	12.6%
0	2068	6.5%
N	2015	6.3%
o	2015	6.3%
f	2013	6.3%
F	1996	6.3%
r	934	2.9%
Other values (5)	2842	8.9%

commit_message_length
Real number (ℝ)

Missing

Distinct	115
Distinct (%)	1.2%
Missing	696
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.610383

Minimum	0
Maximum	126
Zeros	77
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	15
Q1	34
median	48
Q3	61
95-th percentile	81
Maximum	126
Range	126
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	19.752741
Coefficient of variation (CV)	0.41488305
Kurtosis	-0.11699721
Mean	47.610383
Median Absolute Deviation (MAD)	13
Skewness	0.076788952
Sum	442967
Variance	390.17077
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	222	2.2%
46	203	2.0%
48	202	2.0%
49	199	2.0%
53	194	1.9%
58	189	1.9%
44	185	1.8%
55	184	1.8%
56	180	1.8%
42	180	1.8%
Other values (105)	7366	73.7%
(Missing)	696	7.0%

Value	Count	Frequency (%)
0	77	0.8%
1	14	0.1%
2	19	0.2%
3	12	0.1%
4	13	0.1%
5	18	0.2%
6	27	0.3%
7	24	0.2%
8	19	0.2%
9	24	0.2%

Value	Count	Frequency (%)
126	1	< 0.1%
120	1	< 0.1%
117	1	< 0.1%
115	1	< 0.1%
112	3	< 0.1%
111	1	< 0.1%
110	2	< 0.1%
108	2	< 0.1%
107	2	< 0.1%
106	2	< 0.1%

is_bot_user
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	610.8 KiB

human	3209
Human	3132
HUMAN	3075
bot	209
BOT	200

Length

Max length	7
Median length	5
Mean length	5.5332
Min length	3

Characters and Unicode

Total characters	55332
Distinct characters	17
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	HUMAN
2nd row	Bot
3rd row	Human
4th row	BOT
5th row	human

Common Values

Value	Count	Frequency (%)
human	3209	32.1%
Human	3132	31.3%
HUMAN	3075	30.8%
bot	209	2.1%
BOT	200	2.0%
Bot	175	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
human	9416	94.2%
bot	584	5.8%

Most occurring characters

Value	Count	Frequency (%)
	6500	11.7%
m	6341	11.5%
a	6341	11.5%
n	6341	11.5%
u	6341	11.5%
H	6207	11.2%
h	3209	5.8%
A	3075	5.6%
N	3075	5.6%
M	3075	5.6%
Other values (7)	4827	8.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	55332	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	6500	11.7%
m	6341	11.5%
a	6341	11.5%
n	6341	11.5%
u	6341	11.5%
H	6207	11.2%
h	3209	5.8%
A	3075	5.6%
N	3075	5.6%
M	3075	5.6%
Other values (7)	4827	8.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	55332	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	6500	11.7%
m	6341	11.5%
a	6341	11.5%
n	6341	11.5%
u	6341	11.5%
H	6207	11.2%
h	3209	5.8%
A	3075	5.6%
N	3075	5.6%
M	3075	5.6%
Other values (7)	4827	8.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	55332	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	6500	11.7%
m	6341	11.5%
a	6341	11.5%
n	6341	11.5%
u	6341	11.5%
H	6207	11.2%
h	3209	5.8%
A	3075	5.6%
N	3075	5.6%
M	3075	5.6%
Other values (7)	4827	8.7%

Interactions

Correlations

	build_duration_s	ci_status	commit_message_length	dominant_language	editor	event_type	exam_period	files_changed	is_bot_user	is_weekend	label_is_high_quality	lines_added	lines_deleted	os	pr_merge_time_hours	tests_failed	tests_run	time_to_ci_minutes
build_duration_s	1.000	0.000	-0.010	0.000	0.000	0.000	0.000	0.006	0.000	0.000	0.000	-0.004	0.005	0.000	-0.018	0.003	0.008	0.023
ci_status	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.001	0.022	0.056	0.000	0.011	0.000	0.046	0.018	0.057
commit_message_length	-0.010	0.000	1.000	0.017	0.034	0.000	0.000	0.001	0.012	0.023	0.000	-0.017	0.007	0.017	0.024	0.013	0.005	-0.011
dominant_language	0.000	0.000	0.017	1.000	0.000	0.000	0.012	0.000	0.020	0.014	0.000	0.000	0.000	0.000	0.000	0.046	0.034	0.011
editor	0.000	0.000	0.034	0.000	1.000	0.006	0.027	0.000	0.000	0.032	0.014	0.023	0.000	0.005	0.011	0.000	0.000	0.000
event_type	0.000	0.000	0.000	0.000	0.006	1.000	0.025	0.000	0.000	0.019	0.000	0.000	0.026	0.011	0.098	0.031	0.000	0.051
exam_period	0.000	0.000	0.000	0.012	0.027	0.025	1.000	0.019	0.000	0.019	0.011	0.020	0.032	0.023	0.000	0.000	0.023	0.071
files_changed	0.006	0.000	0.001	0.000	0.000	0.000	0.019	1.000	0.000	0.008	0.000	0.000	-0.019	0.000	-0.002	-0.006	0.002	-0.001
is_bot_user	0.000	0.005	0.012	0.020	0.000	0.000	0.000	0.000	1.000	0.008	0.000	0.000	0.000	0.014	0.000	0.000	0.000	0.054
is_weekend	0.000	0.001	0.023	0.014	0.032	0.019	0.019	0.008	0.008	1.000	0.000	0.019	0.030	0.006	0.043	0.014	0.022	0.014
label_is_high_quality	0.000	0.022	0.000	0.000	0.014	0.000	0.011	0.000	0.000	0.000	1.000	0.000	0.013	0.000	0.025	0.106	0.053	0.049
lines_added	-0.004	0.056	-0.017	0.000	0.023	0.000	0.020	0.000	0.000	0.019	0.000	1.000	0.016	0.000	0.031	-0.003	-0.012	0.007
lines_deleted	0.005	0.000	0.007	0.000	0.000	0.026	0.032	-0.019	0.000	0.030	0.013	0.016	1.000	0.000	0.036	-0.002	0.005	0.004
os	0.000	0.011	0.017	0.000	0.005	0.011	0.023	0.000	0.014	0.006	0.000	0.000	0.000	1.000	0.051	0.041	0.000	0.067
pr_merge_time_hours	-0.018	0.000	0.024	0.000	0.011	0.098	0.000	-0.002	0.000	0.043	0.025	0.031	0.036	0.051	1.000	0.009	-0.006	0.003
tests_failed	0.003	0.046	0.013	0.046	0.000	0.031	0.000	-0.006	0.000	0.014	0.106	-0.003	-0.002	0.041	0.009	1.000	-0.010	-0.023
tests_run	0.008	0.018	0.005	0.034	0.000	0.000	0.023	0.002	0.000	0.022	0.053	-0.012	0.005	0.000	-0.006	-0.010	1.000	0.023
time_to_ci_minutes	0.023	0.057	-0.011	0.011	0.000	0.051	0.071	-0.001	0.054	0.014	0.049	0.007	0.004	0.067	0.003	-0.023	0.023	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.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	event_id	user_id	repo_id	timestamp	event_type	lines_added	lines_deleted	files_changed	dominant_language	ci_status	coverage_percent	editor	os	time_to_ci_minutes	build_duration_s	tests_run	tests_failed	is_weekend	pr_merge_time_hours	label_is_high_quality	exam_period	commit_message_length	is_bot_user
0	evt_d351e59b15fd	user_2432	repo_575	29/03/2025 17:26	pr_opened	40	2	3	Python	SUCCESS	76.5	VSCODE	WIN	13.38	493.98	115	8	1	54.6	0	true	39.0	HUMAN
1	evt_435c1b33622f	user_2017	repo_1112	01/07/2025 12:20	Commit	3	24	2	GO	FAILED	75.5	VSCode	macOS	16.86	107.57	90	14	False	NaN	0	No	65.0	Bot
2	evt_758099c90286	user_930	repo_103	2025-01-30 02:26:34+00:00	pr_merged	13	12	11	Rust	failed	59.0	VIM	Linux	448.32	193.38	92	6	No	68.6	False	false	79.0	Human
3	evt_312809052420	user_1892	repo_988	2025-03-21 08:01:25-05:00	pr_opened	28	6	3	C++	SUCCESS	59.3	sublime	windows	NaN	498.92	177	12	0	50.6	No	No	NaN	BOT
4	evt_0b2d75d29ec3	user_2793	repo_419	2025-02-28 18:22:51-05:00	Review_comment	79	2	3	C++	failure	86.8	Vim	WIN	1.14	162.55	113	9	false	NaN	False	false	48.0	human
5	evt_19a79e8470ea	user_1830	repo_117	06/29/2025 15:18	ci_run	10	6	5	PYTHON	cancelled	82.9	sublime	linux	1.15	4.85	124	0	Yes	NaN	False	0	62.0	human
6	evt_0c187cfa45db	user_1928	repo_85	24/01/2025 07:41	Pr_opened	11	10	7	rust	cancelled	79.3	Intellij	Windows	14.86	NaN	149	10	False	12.0	False	false	49.0	Human
7	evt_2459e75224bc	user_348	repo_921	2025-10-25 19:27:29+00:00	PUSH	6	24	3	Rust	cancelled	68.6	Sublime	Macos	4.56	510.25	163	0	Yes	NaN	false	1	79.0	human
8	evt_c552cf68f079	user_918	repo_458	2025-10-27 03:20:37-05:00	Push	14	20	3	Rust	success	68.9	IntelliJ	WIN	10.87	9.66	47	14	0	NaN	False	True	29.0	human
9	evt_867ddb5f5c4d	user_2160	repo_471	2025-01-01 18:33:52-05:00	ci_run	8	1	2	Python	Failure	79.8	NANO	WIN	3.14	290.41	139	0	No	NaN	No	False	46.0	BOT

	event_id	user_id	repo_id	timestamp	event_type	lines_added	lines_deleted	files_changed	dominant_language	ci_status	coverage_percent	editor	os	time_to_ci_minutes	build_duration_s	tests_run	tests_failed	is_weekend	pr_merge_time_hours	label_is_high_quality	exam_period	commit_message_length	is_bot_user
9990	evt_fda3f76198d4	user_1979	repo_458	2025-10-24T15:49:06Z	commit	106	40	12	Go	CANCELLED	73.9	SUBLIME	linux	8.24	366.28	75	15	0	NaN	false	No	55.0	HUMAN
9991	evt_bbf4d7a746df	user_257	repo_168	03/22/2025 18:48	REVIEW_COMMENT	27	3	2	Rust	SUCCESS	70.4	vim	linux	10.14	320.96	139	22	1	NaN	false	false	5.0	Human
9992	evt_7a502a8a5fcb	user_1566	repo_116	02/22/2025 01:53	PUSH	7	4	1	Java	cancelled	80.5	Vim	Linux	7.41	343.53	147	10	true	NaN	No	No	53.0	HUMAN
9993	evt_d2247b933b51	user_2692	repo_232	03/25/2025 14:16	push	19	0	2	Python	success	74.4	vscode	Linux	14.69	288.89	156	0	False	NaN	False	true	39.0	HUMAN
9994	evt_7170892bdeca	user_2686	repo_247	2025-08-16 17:05:50-05:00	commit	9	9	5	Go	SUCCESS	62.5	vim	WIN	0.66	202.27	117	18	true	NaN	false	0	28.0	human
9995	evt_6d51d236893c	user_518	repo_954	2025-12-29 05:37:05+01:00	PUSH	23	5	10	GO	CANCELLED	100	sublime	Macos	14.47	125.22	76	1	false	NaN	1	No	40.0	Human
9996	evt_b3ba95e801aa	user_2623	repo_897	20/12/2025 02:27	Pr_merged	0	11	4	python	SUCCESS	88.5	sublime	Linux	204.24	526.2	174	2	true	20.3	true	false	NaN	Human
9997	evt_c411c76ff10e	user_845	repo_918	27/03/2025 11:38	PUSH	0	3	2	JavaScript	failure	76.3	VSCode	WINDOWS	18.44	224.84	47	15	No	NaN	false	True	37.0	human
9998	evt_848421728fd7	user_497	repo_1132	06/09/2025 23:13	pr_merged	24	14	7	java	FAILED	61.3	VSCode	Windows	14.45	227.19	96	23	False	42.9	No	False	77.0	HUMAN
9999	evt_81e3495599a1	user_199	repo_8	2025-01-24T20:30:47Z	test_run	4	20	1	GO	failure	62.6	IntelliJ	Windows	3.24	211.44	268	0	false	NaN	0	0	51.0	Human

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)

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

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

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