add dataplot simple, hypotheses

findings/data_plot.py

@@ -0,0 +1,13 @@
+from matplotlib import pyplot as plt
+import pandas as pd
+
+
+def plot_xy(x, y):
+    plt.scatter(x, y)
+    plt.xlabel(x.name)
+    plt.ylabel(y.name)
+    plt.show()
+
+
+wellness = pd.read_csv('../data_preparation/data/wellness.csv')
+plot_xy(wellness['Fatigue'], wellness['SleepHours'])

hypotheses_modeling/hypotheses.txt

@@ -0,0 +1,22 @@
+Team:
+    1.
+    x - normFatigue, TimeSince
+    y - normSoreness
+    r2 - 0.16830803694995466
+
+    2.
+    x - normFatigue, TimeSince
+    y - normDesire
+    r2 - 0.1722466278587138
+
+    3.
+    x - normFatigue, TimeSince
+    y - normIrritability
+    r2 - 0.09563459728506452
+
+    4.
+    x - normSleepHours, TimeSince
+    y - normSleepQualiyt
+    r2 - 0.09717095676693188
+
+    5.