Building a Pie Chart

A pie chart is a circular graphical representation of a dataset, where each category frequency is represented by a slice (or circular sector) with an amplitude in degrees given by the single frequency percentage over the total of frequencies. You can obtain the degrees of sectors following these steps:

• Calculate frequencies total.
• Calculate percentage of every category frequency dividing it by the frequencies total.
• Transform every percentage in degrees multiplying it for 360.

You are given a dictionary data with keys being the data categories (represented by letters) and values being the data frequencies. Implement a function that returns a map to design a pie chart, like to say the same dictionary with values transformed in degrees instead of frequencies. Round final values to the nearest tenth.

Examples

pie_chart({ "a": 1, "b": 2 }) ➞ { "a": 120, "b": 240 }

pie_chart({ "a": 30, "b": 15, "c": 55 }) ➞ { "a": 108, "b": 54, "c": 198 }

pie_chart({ "a": 8, "b": 21, "c": 12, "d": 5, "e": 4 }) ➞ { "a": 57.6, "b": 151.2, "c": 86.4, "d": 36, "e": 28.8 }

Notes

N/A