35 lines
1009 B
Python
35 lines
1009 B
Python
# Visualisations for Data
|
|
import matplotlib.pyplot as plt
|
|
import seaborn as sns
|
|
import mining_hq
|
|
from numpy import count_nonzero
|
|
|
|
sns.set()
|
|
|
|
games_pre = mining_hq.games_sales_split_pre
|
|
games_dur = mining_hq.games_sales_split_dur
|
|
games_pos = mining_hq.games_sales_split_pos
|
|
|
|
crime_US = mining_hq.crime_US_intersect
|
|
crime_CA = mining_hq.crime_CA_intersect
|
|
|
|
plt.xticks(rotation = 90)
|
|
games_fig_pre = sns.histplot(data = games_pre, x = "Year", palette = sns.color_palette("flare"), kde = True)
|
|
plt.show()
|
|
|
|
plt.xticks(rotation = 90)
|
|
games_fig2_pre = sns.histplot(data = games_pre, x = "Year", hue = "Genre", multiple = "stack", shrink = 0.65)
|
|
plt.show()
|
|
|
|
plt.xticks(rotation = 90)
|
|
games_fig_dur = sns.barplot(data = games_dur, x = "Year", y = "NA_Sales")
|
|
plt.show()
|
|
|
|
plt.xticks(rotation = 90)
|
|
games_fig_pos = sns.barplot(data = games_pos, x = "Year", y = "NA_Sales")
|
|
plt.show()
|
|
|
|
plt.xticks(rotation = 90)
|
|
crime_CA_fig = sns.barplot(data = crime_CA, x = "year", y = "incidents", estimator=count_nonzero)
|
|
plt.show()
|