Penguins Dataset Profile

Dataset statistics

Number of variables	7
Number of observations	344
Missing cells	19
Missing cells (%)	0.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.9 KiB
Average record size in memory	56.4 B

Variable types

Categorical	3
Numeric	4

Alerts

`bill_depth_mm` is highly overall correlated with `flipper_length_mm` and 2 other fields	High correlation
`bill_length_mm` is highly overall correlated with `body_mass_g` and 3 other fields	High correlation
`body_mass_g` is highly overall correlated with `bill_length_mm` and 3 other fields	High correlation
`flipper_length_mm` is highly overall correlated with `bill_depth_mm` and 4 other fields	High correlation
`island` is highly overall correlated with `flipper_length_mm` and 1 other fields	High correlation
`sex` is highly overall correlated with `bill_depth_mm` and 2 other fields	High correlation
`species` is highly overall correlated with `bill_depth_mm` and 4 other fields	High correlation
`sex` has 11 (3.2%) missing values	Missing

Reproduction

Analysis started	2026-02-22 11:30:32.868705
Analysis finished	2026-02-22 11:30:34.289502
Duration	1.42 second
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

species
Categorical

High correlation

Distinct	3
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

Adelie	152
Gentoo	124
Chinstrap	68

Length

Max length	9
Median length	6
Mean length	6.5930233
Min length	6

Characters and Unicode

Total characters	2268
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	Adelie
2nd row	Adelie
3rd row	Adelie
4th row	Adelie
5th row	Adelie

Common Values

Value	Count	Frequency (%)
Adelie	152	44.2%
Gentoo	124	36.0%
Chinstrap	68	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
adelie	152	44.2%
gentoo	124	36.0%
chinstrap	68	19.8%

Most occurring characters

Value	Count	Frequency (%)
e	428	18.9%
o	248	10.9%
i	220	9.7%
n	192	8.5%
t	192	8.5%
A	152	6.7%
d	152	6.7%
l	152	6.7%
G	124	5.5%
C	68	3.0%
Other values (5)	340	15.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2268	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	428	18.9%
o	248	10.9%
i	220	9.7%
n	192	8.5%
t	192	8.5%
A	152	6.7%
d	152	6.7%
l	152	6.7%
G	124	5.5%
C	68	3.0%
Other values (5)	340	15.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2268	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	428	18.9%
o	248	10.9%
i	220	9.7%
n	192	8.5%
t	192	8.5%
A	152	6.7%
d	152	6.7%
l	152	6.7%
G	124	5.5%
C	68	3.0%
Other values (5)	340	15.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2268	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	428	18.9%
o	248	10.9%
i	220	9.7%
n	192	8.5%
t	192	8.5%
A	152	6.7%
d	152	6.7%
l	152	6.7%
G	124	5.5%
C	68	3.0%
Other values (5)	340	15.0%

island
Categorical

High correlation

Distinct	3
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

Biscoe	168
Dream	124
Torgersen	52

Length

Max length	9
Median length	6
Mean length	6.0930233
Min length	5

Characters and Unicode

Total characters	2096
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	Torgersen
2nd row	Torgersen
3rd row	Torgersen
4th row	Torgersen
5th row	Torgersen

Common Values

Value	Count	Frequency (%)
Biscoe	168	48.8%
Dream	124	36.0%
Torgersen	52	15.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
biscoe	168	48.8%
dream	124	36.0%
torgersen	52	15.1%

Most occurring characters

Value	Count	Frequency (%)
e	396	18.9%
r	228	10.9%
s	220	10.5%
o	220	10.5%
B	168	8.0%
i	168	8.0%
c	168	8.0%
D	124	5.9%
a	124	5.9%
m	124	5.9%
Other values (3)	156	7.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2096	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	396	18.9%
r	228	10.9%
s	220	10.5%
o	220	10.5%
B	168	8.0%
i	168	8.0%
c	168	8.0%
D	124	5.9%
a	124	5.9%
m	124	5.9%
Other values (3)	156	7.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2096	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	396	18.9%
r	228	10.9%
s	220	10.5%
o	220	10.5%
B	168	8.0%
i	168	8.0%
c	168	8.0%
D	124	5.9%
a	124	5.9%
m	124	5.9%
Other values (3)	156	7.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2096	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	396	18.9%
r	228	10.9%
s	220	10.5%
o	220	10.5%
B	168	8.0%
i	168	8.0%
c	168	8.0%
D	124	5.9%
a	124	5.9%
m	124	5.9%
Other values (3)	156	7.4%

bill_length_mm
Real number (ℝ)

High correlation

Distinct	164
Distinct (%)	48.0%
Missing	2
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	43.92193

Minimum	32.1
Maximum	59.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	32.1
5-th percentile	35.7
Q1	39.225
median	44.45
Q3	48.5
95-th percentile	51.995
Maximum	59.6
Range	27.5
Interquartile range (IQR)	9.275

Descriptive statistics

Standard deviation	5.4595837
Coefficient of variation (CV)	0.124302
Kurtosis	-0.87602697
Mean	43.92193
Median Absolute Deviation (MAD)	4.75
Skewness	0.053118067
Sum	15021.3
Variance	29.807054
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.1	7	2.0%
45.2	6	1.7%
45.5	5	1.5%
39.6	5	1.5%
50.5	5	1.5%
46.5	5	1.5%
50	5	1.5%
37.8	5	1.5%
46.2	5	1.5%
46.4	4	1.2%
Other values (154)	290	84.3%

Value	Count	Frequency (%)
32.1	1	0.3%
33.1	1	0.3%
33.5	1	0.3%
34	1	0.3%
34.1	1	0.3%
34.4	1	0.3%
34.5	1	0.3%
34.6	2	0.6%
35	2	0.6%
35.1	1	0.3%

Value	Count	Frequency (%)
59.6	1	0.3%
58	1	0.3%
55.9	1	0.3%
55.8	1	0.3%
55.1	1	0.3%
54.3	1	0.3%
54.2	1	0.3%
53.5	1	0.3%
53.4	1	0.3%
52.8	1	0.3%

bill_depth_mm
Real number (ℝ)

High correlation

Distinct	80
Distinct (%)	23.4%
Missing	2
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	17.15117

Minimum	13.1
Maximum	21.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	13.1
5-th percentile	13.9
Q1	15.6
median	17.3
Q3	18.7
95-th percentile	20
Maximum	21.5
Range	8.4
Interquartile range (IQR)	3.1

Descriptive statistics

Standard deviation	1.9747932
Coefficient of variation (CV)	0.11514044
Kurtosis	-0.90686609
Mean	17.15117
Median Absolute Deviation (MAD)	1.5
Skewness	-0.14346463
Sum	5865.7
Variance	3.899808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	12	3.5%
15	10	2.9%
18.6	10	2.9%
17.9	10	2.9%
18.5	10	2.9%
17.3	9	2.6%
18.9	9	2.6%
19	9	2.6%
17.8	9	2.6%
18.1	9	2.6%
Other values (70)	245	71.2%

Value	Count	Frequency (%)
13.1	1	0.3%
13.2	1	0.3%
13.3	1	0.3%
13.4	1	0.3%
13.5	2	0.6%
13.6	1	0.3%
13.7	6	1.7%
13.8	4	1.2%
13.9	4	1.2%
14	2	0.6%

Value	Count	Frequency (%)
21.5	1	0.3%
21.2	2	0.6%
21.1	3	0.9%
20.8	1	0.3%
20.7	3	0.9%
20.6	1	0.3%
20.5	1	0.3%
20.3	3	0.9%
20.2	1	0.3%
20.1	1	0.3%

flipper_length_mm
Real number (ℝ)

High correlation

Distinct	55
Distinct (%)	16.1%
Missing	2
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	200.9152

Minimum	172
Maximum	231
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	172
5-th percentile	181
Q1	190
median	197
Q3	213
95-th percentile	225
Maximum	231
Range	59
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	14.061714
Coefficient of variation (CV)	0.0699883
Kurtosis	-0.98427289
Mean	200.9152
Median Absolute Deviation (MAD)	11
Skewness	0.34568183
Sum	68713
Variance	197.73179
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
190	22	6.4%
195	17	4.9%
187	16	4.7%
193	15	4.4%
210	14	4.1%
191	13	3.8%
215	12	3.5%
196	10	2.9%
197	10	2.9%
185	9	2.6%
Other values (45)	204	59.3%

Value	Count	Frequency (%)
172	1	0.3%
174	1	0.3%
176	1	0.3%
178	4	1.2%
179	1	0.3%
180	5	1.5%
181	7	2.0%
182	3	0.9%
183	2	0.6%
184	7	2.0%

Value	Count	Frequency (%)
231	1	0.3%
230	7	2.0%
229	2	0.6%
228	4	1.2%
226	1	0.3%
225	4	1.2%
224	3	0.9%
223	2	0.6%
222	6	1.7%
221	5	1.5%

body_mass_g
Real number (ℝ)

High correlation

Distinct	94
Distinct (%)	27.5%
Missing	2
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	4201.7544

Minimum	2700
Maximum	6300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	2700
5-th percentile	3150
Q1	3550
median	4050
Q3	4750
95-th percentile	5650
Maximum	6300
Range	3600
Interquartile range (IQR)	1200

Descriptive statistics

Standard deviation	801.95454
Coefficient of variation (CV)	0.19086183
Kurtosis	-0.71922187
Mean	4201.7544
Median Absolute Deviation (MAD)	600
Skewness	0.47032933
Sum	1437000
Variance	643131.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3800	12	3.5%
3700	11	3.2%
3900	10	2.9%
3950	10	2.9%
3550	9	2.6%
4400	8	2.3%
4300	8	2.3%
3450	8	2.3%
3400	8	2.3%
3600	7	2.0%
Other values (84)	251	73.0%

Value	Count	Frequency (%)
2700	1	0.3%
2850	2	0.6%
2900	4	1.2%
2925	1	0.3%
2975	1	0.3%
3000	2	0.6%
3050	4	1.2%
3075	1	0.3%
3100	1	0.3%
3150	4	1.2%

Value	Count	Frequency (%)
6300	1	0.3%
6050	1	0.3%
6000	2	0.6%
5950	2	0.6%
5850	3	0.9%
5800	2	0.6%
5750	1	0.3%
5700	5	1.5%
5650	3	0.9%
5600	2	0.6%

sex
Categorical

High correlation Missing

Distinct	2
Distinct (%)	0.6%
Missing	11
Missing (%)	3.2%
Memory size	2.8 KiB

Male	168
Female	165

Length

Max length	6
Median length	4
Mean length	4.990991
Min length	4

Characters and Unicode

Total characters	1662
Distinct characters	6
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	Male
2nd row	Female
3rd row	Female
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	168	48.8%
Female	165	48.0%
(Missing)	11	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	168	50.5%
female	165	49.5%

Most occurring characters

Value	Count	Frequency (%)
e	498	30.0%
a	333	20.0%
l	333	20.0%
M	168	10.1%
F	165	9.9%
m	165	9.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1662	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	498	30.0%
a	333	20.0%
l	333	20.0%
M	168	10.1%
F	165	9.9%
m	165	9.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1662	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	498	30.0%
a	333	20.0%
l	333	20.0%
M	168	10.1%
F	165	9.9%
m	165	9.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1662	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	498	30.0%
a	333	20.0%
l	333	20.0%
M	168	10.1%
F	165	9.9%
m	165	9.9%

	bill_depth_mm	bill_length_mm	body_mass_g	flipper_length_mm	island	sex	species
bill_depth_mm	1.000	-0.222	-0.432	-0.523	0.484	0.586	0.635
bill_length_mm	-0.222	1.000	0.584	0.673	0.324	0.520	0.650
body_mass_g	-0.432	0.584	1.000	0.840	0.456	0.589	0.605
flipper_length_mm	-0.523	0.673	0.840	1.000	0.501	0.448	0.701
island	0.484	0.324	0.456	0.501	1.000	0.000	0.657
sex	0.586	0.520	0.589	0.448	0.000	1.000	0.000
species	0.635	0.650	0.605	0.701	0.657	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

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

	species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex
0	Adelie	Torgersen	39.1	18.7	181.0	3750.0	Male
1	Adelie	Torgersen	39.5	17.4	186.0	3800.0	Female
2	Adelie	Torgersen	40.3	18.0	195.0	3250.0	Female
3	Adelie	Torgersen	NaN	NaN	NaN	NaN	NaN
4	Adelie	Torgersen	36.7	19.3	193.0	3450.0	Female
5	Adelie	Torgersen	39.3	20.6	190.0	3650.0	Male
6	Adelie	Torgersen	38.9	17.8	181.0	3625.0	Female
7	Adelie	Torgersen	39.2	19.6	195.0	4675.0	Male
8	Adelie	Torgersen	34.1	18.1	193.0	3475.0	NaN
9	Adelie	Torgersen	42.0	20.2	190.0	4250.0	NaN

	species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex
334	Gentoo	Biscoe	46.2	14.1	217.0	4375.0	Female
335	Gentoo	Biscoe	55.1	16.0	230.0	5850.0	Male
336	Gentoo	Biscoe	44.5	15.7	217.0	4875.0	NaN
337	Gentoo	Biscoe	48.8	16.2	222.0	6000.0	Male
338	Gentoo	Biscoe	47.2	13.7	214.0	4925.0	Female
339	Gentoo	Biscoe	NaN	NaN	NaN	NaN	NaN
340	Gentoo	Biscoe	46.8	14.3	215.0	4850.0	Female
341	Gentoo	Biscoe	50.4	15.7	222.0	5750.0	Male
342	Gentoo	Biscoe	45.2	14.8	212.0	5200.0	Female
343	Gentoo	Biscoe	49.9	16.1	213.0	5400.0	Male

Overview

Variables

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)

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)

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)

Interactions

Correlations

Missing values

Sample