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# Importing the libraries | |
from scipy.stats.stats import pearsonr | |
import pandas as pd | |
import numpy as np | |
import json | |
data = pd.read_csv("../../Downloads/data_books.csv", sep = ",", header=None, | |
names=['Reviewer', 'Book', 'Rating']) | |
# Picking 2 books |
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# This is a skeleton for testing models including examples of validations, callbacks, | |
# scopes, instance & class methods, associations, and more. | |
# Pick and choose what you want, as all models don't NEED to be tested at this depth. | |
# | |
# I'm always eager to hear new tips & suggestions as I'm still new to testing, | |
# so if you have any, please share! | |
# | |
# @kyletcarlson | |
# | |
# This skeleton also assumes you're using the following gems: |
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/* Adapted from Tom Cunningham's 'Data Warehousing with MySql' (www.meansandends.com/mysql-data-warehouse) */ | |
###### small-numbers table | |
DROP TABLE IF EXISTS numbers_small; | |
CREATE TABLE numbers_small (number INT); | |
INSERT INTO numbers_small VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); | |
###### main numbers table | |
DROP TABLE IF EXISTS numbers; | |
CREATE TABLE numbers (number BIGINT); |
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