# Collections of Stats

There are a few special `OnlineStats`

that group together other `OnlineStats`

: `Series`

and `Group`

.

`Series`

A `Series`

tracks stats that should be applied to the **same** data stream.

```
y = rand(1000)
s = Series(Mean(), Variance())
fit!(s, y)
```

```
Series
├─ Mean: n=1000 | value=0.497399
└─ Variance: n=1000 | value=0.0891061
```

`FTSeries`

An `FTSeries`

tracks stats that should be applied to the **same** data stream, but filters and transforms (hence `FT`

) the input data before it is sent to its stats. This is useful for things like removing `missing`

values.

```
T = Union{Missing,Number}
s = FTSeries(T, Mean(), Variance(); filter = !ismissing, transform = abs)
fit!(s, [-1, missing])
```

```
FTSeries
├─ Mean: n=1 | value=1.0
└─ Variance: n=1 | value=1.0
```

`Group`

A `Group`

tracks stats that should be applied to **different** data streams.

```
g = Group(Mean(), CountMap(Bool))
itr = zip(randn(100), rand(Bool, 100))
fit!(g, itr)
```

```
Group
├─ Mean: n=100 | value=-0.12751
└─ CountMap: n=100 | value=OrderedCollections.OrderedDict{Bool, Int64}(1=>39, 0=>61)
```