I know, basic stuff. Before diving back into exploratory data analysis (EDA) doing a little warm up.

## Definition

### Mean

The “average”. You add up a bunch of numbers and divide by how many numbers you have. Gets the average of them all.

### Median

The middle score of a distribution. You line up the numbers in order and the one in the middle (or average of middle two).

### Mode

The score that appears most frequently in and ordered list.

### Percentile

Take one score. Add everything up, divide it by the score. Multiply by 100 and viola, you have a part of the whole.

## Formula

### Mean

### Median

X = order the values in data set.

n = number of values in set.

### Percentile

## Python Code

### Mean

```
from statistics import mean
def Av(lst):
return mean(lst)
# Driver Code
holder = [10,20,30,40,50,60]
average = Av(holder)
print(average)
#35
```

### Median

```
from statistics import median
list = [2,4,5,6]
med = statistics.median(list)
print(float(med))
#4.5
```

### Mode

```
from statistics import mode
statistics.mode(["red", "blue", "blue", "red", "green", "red", "red"])
#Red
```

### Percentile

```
def perc(input, numlist):
return input / sum(numlist) * 100
perc(3,[1,2,3])
#50
```