From 300ce67b60c7f078f23a42746904dfb9e765664e Mon Sep 17 00:00:00 2001
From: Supermjork <markehabaziz@gmail.com>
Date: Tue, 28 Mar 2023 20:41:46 +0200
Subject: [PATCH] R visualisation better

---
 py_scripts/engineer.py  | 19 +++++++++++++++----
 py_scripts/mining_hq.py | 25 ++++++++++++-------------
 2 files changed, 27 insertions(+), 17 deletions(-)

diff --git a/py_scripts/engineer.py b/py_scripts/engineer.py
index ab22516..f3c089d 100644
--- a/py_scripts/engineer.py
+++ b/py_scripts/engineer.py
@@ -5,19 +5,30 @@ import mining_hq
 from numpy import count_nonzero
 
 sns.set()
-plt.xticks(rotation = 90)
 
 games_pre = mining_hq.games_sales_split_pre
 games_dur = mining_hq.games_sales_split_dur
 games_pos = mining_hq.games_sales_split_pos
 
-games_fig_pre = sns.barplot(data = games_pre, x = "Year", y = "NA_Sales", estimator = count_nonzero)
+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_fig_dur = sns.barplot(data = games_dur, x = "Year", y = "NA_Sales", estimator = count_nonzero)
+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_pos = sns.barplot(data = games_pos, x = "Year", y = "NA_Sales", estimator = count_nonzero)
+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")
 plt.show()
diff --git a/py_scripts/mining_hq.py b/py_scripts/mining_hq.py
index c9a8baa..1e64b33 100644
--- a/py_scripts/mining_hq.py
+++ b/py_scripts/mining_hq.py
@@ -3,8 +3,7 @@
 import pandas as pd
 import numpy as np
 import seaborn as sns
-import digger
-import gunner
+import digger, gunner
 
 # Instantiating globals to be used in other files
 global games_merged_dat
@@ -24,7 +23,7 @@ games_review_final = digger.slice_column(games_review, "GameName", "(Import)")
 games_merged_dat = digger.write_joined_df(games_sales, games_review_final)
 
 # Acquisition of Merged dataset
-print(games_merged_dat.isnull())
+print(games_merged_dat.count())
 games_merged_dat.to_csv("datasets/videogames/games_merged.csv")
 
 # Loading Crime Datasets
@@ -70,22 +69,22 @@ games_merged_dat = gunner.drop_kick(NA_col_list, games_merged_dat)
 
 sale_tri_split = gunner.trisect_by_year(games_merged_dat, 'Year', year_interval)
 
-game_sales_split_pre = sale_tri_split[0]
-game_sales_split_dur = sale_tri_split[1]
-game_sales_split_pos = sale_tri_split[2]
+games_sales_split_pre = sale_tri_split[0]
+games_sales_split_dur = sale_tri_split[1]
+games_sales_split_pos = sale_tri_split[2]
 
 # Displaying Acquired Data
 print("Acquired Datasets:\n")
-print(game_sales_split_pre.head(5),
-game_sales_split_dur.head(5),
-game_sales_split_pos.head(5))
+print(games_sales_split_pre.head(5),
+games_sales_split_dur.head(5),
+games_sales_split_pos.head(5))
 
 print("Dataset Info:\n")
-game_sales_split_pre.info()
-game_sales_split_dur.info()
-game_sales_split_pos.info()
+games_sales_split_pre.info()
+games_sales_split_dur.info()
+games_sales_split_pos.info()
 
-print(game_sales_split_dur.describe())
+print(games_sales_split_dur.describe())
 
 # Required to use binning for cleaning, idk
 # https://towardsdatascience.com/data-preprocessing-with-python-pandas-part-5-binning-c5bd5fd1b950