# Manga Statistics

MangaDex allows users to view a Manga's rating and post their own. Additionally, some other statistics are exposed.

# Seeing a Manga's rating

 GET /statistics/manga/{uuid}

A Manga's average rating is represented by an mean score, and a Bayesian score of values between 1 and 10.

Why Bayesian?

Bayesian scores start with a set bias. This is a method to avoid little-known Manga to be greatly affected by a few people's opinion. The Bayesian Average ultimately converges to the mean, as the reviews popoulate. Read more here.

If you're interested in a little bit of math, the formula is as follows:

bavg = \frac{b_c}{b_c + \frac{ab_v}{b_v}} * b_a + (1 - \frac{b_c}{b_c + \frac{ab_v}{b_v}}) * ab_a

where:

b refers to manga related values
ab refers to values relating to all the manga on Mangadex
v indicates the count of votes, meaning that b_v refers to the count of votes on the specific manga, and ab_v refers to the count of votes for all manga
c indicates the count of manga
a corresponds to to average of the related manga

# Request

manga_id = "0301208d-258a-444a-8ef7-66e433d801b1"

import requests

base_url = "https://api.mangadex.org"

r = requests.get(f"{base_url}/statistics/manga/{manga_id}")

rating, follows, *others = r.json()["statistics"][manga_id].values()

print(
    f"Mean Rating: {rating.average}\n"
    + f"Bayesian Rating: {rating.bayesian}\n"
    + f"Follows: {follows}"
)

const mangaID = '0301208d-258a-444a-8ef7-66e433d801b1';

const axios = require('axios');

const baseUrl = 'https://api.mangadex.org';

const resp = await axios({
    method: 'GET',
    url: `${baseUrl}/statistics/manga/${mangaID}`
});

const { rating, follows } = resp.data.statistics[mangaID];

console.log(
    'Mean Rating:', rating.average, '\n' +
    'Bayesian Rating:', rating.bayesian, '\n' +
    'Follows:', follows
);