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Overall.py

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+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Overall"
+exec_page_home(theme)

README.md

@@ -1,12 +1,52 @@
----
-title: ForcaSteam
-emoji: 📊
-colorFrom: red
-colorTo: green
-sdk: streamlit
-sdk_version: 1.29.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Predictive Analysis and Feature Importance of Successful Video Games
+
+## Team Details:
+**Team:** KAP Team  
+**Members:**
+- Artem Guz
+- Kevin Dsouza
+- Peter Wong
+
+## Overview:
+**Framework:** streamlit  
+
+**Objective:**  
+To analyze various video game datasets to determine the characteristics of successful games and develop a Machine Learning model that can predict the success of a video game based on its features, primarily focusing on Genre.
+
+**Datasets:**  
+- Popular Video Games
+- Video Games Data
+- Best Year for Video Games
+
+## Project Outline:
+Depending on our final datasets, we will extract and compare the various variables, such as Genre, Developer, Release Date, and compare with variables commonly used to measure success for video games. This would be Total Sales, Region Sales, Ratings and more. Then, we will use this data to develop a model to determine if a game would be successful based on user input and idea.
+
+## Practical Application:
+This project can provide valuable insights to game developers by highlighting the features and genres that are most likely to yield successful games, allowing them to make more informed decisions during the game development process.
+
+### 1.0 Overall Concept:
+Depending on our final datasets, we will extract and compare the various variables, such as Genre, Developer, Release Date, and compare with variables commonly used to measure success for video games. This would be Total Sales, Region Sales, Ratings and more. Then, we will use this data to develop a model to determine if a game would be successful based on user input and idea.
+
+### 1.0.1 Elevator Pitch:
+To analyze various video game datasets to determine the characteristics of successful games and develop a Machine Learning model that can predict the success of a video game based on its features, primarily focusing on Genre.
+
+### 1.0.2 Minimum Viable Product:
+*Details to be added*
+
+### 1.1 Group Members:
+Since the group is just formed, we are still in the progress of finding position. 
+
+**Group leader:** Artem Guz
+
+**Members:**  
+- **Artem Guz | College of Staten Island**  
+  - *Primary role:* Data collector and cleaner  
+  - *Secondary role:* Model integration and testing
+
+- **Kevin Dsouza | College of Staten Island**  
+  - *Primary role:* Data collector and cleaner  
+  - *Secondary role:* Model integration and testing
+
+- **Peter Wong | Brooklyn College**  
+  - *Primary role:* Data collector and cleaner  
+  - *Secondary role:* Documentation and Documentation Review

module/__custom__.py

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+########## LIBRARIES ##########
+import streamlit as st
+import pandas as pd
+import numpy as np
+import plotly.graph_objects as go
+from streamlit_searchbox import st_searchbox
+from module.__selectpage__ import st_page_selectbox
+
+########## DATASET ##########
+df = pd.read_csv('./data/join_02.csv')
+df['date'] = pd.to_datetime(df['date'])                 # Format preparation
+df['release_date'] = pd.to_datetime(df['release_date'])
+df['avg_peak_perc'] = df['avg_peak_perc'].str.rstrip('%').astype('float') 
+df = df.dropna()
+
+
+########## FUNCTION ##########
+##### Adding single-player feature
+def add_opp_features(genre):
+    df[genre[0]] = (df[genre[1]]==0)*1
+
+##### Adding feature depending on range of a base feature
+"""Scenario of using this function
+For example, if we want a feature of price
+between $10 to $30
+"""
+def add_range_features(arg):
+    lower = arg[0]; upper = arg[1]
+    name = arg[2]; genre = arg[3]
+    
+    condition = (df[genre]>=lower) & (df[genre]<upper)
+    df[name] = condition*1
+
+# Returning title version of feature name
+def name(target):
+    return target.replace('_', ' ').title()
+
+##### Searchbox Functions
+# Appending favorite game selected by user to filtered list
+    """use after search box
+    """
+def add_top_games(top_games, favorite_game, ranges, df_ax):
+    if favorite_game in top_games: 
+        top_games = df_ax.gamename.unique()[ranges[0]-1:ranges[1]+1]
+    elif favorite_game!=None: 
+        top_games = np.append(top_games, favorite_game)
+    return top_games
+
+# Linear search over all gamenames
+def search(target):
+    gamenames = df['gamename'].unique()                 # all unique gamenames
+    result = []
+    for gamename in gamenames:
+        if target.lower() in gamename.lower():          # games that contains the searching keyword
+            result.append(gamename)
+    return result 
+
+# Streamlit search box
+def searchbox():
+    selected_game = st_searchbox(
+        search_function=search,
+        key="gamename_searchbox",
+        default_options=None, 
+        placeholder="Compare with your Favorite Game...",
+    )
+    return selected_game
+
+
+########## PAGE SECTION ##########
+# Datafram Section
+    """Dataframe
+    together with Title
+    """
+def dfbox(ax_name, y_name, df_ax):
+    title = f"1.1 Dataset of :blue[{ax_name}] Games Sorted by :blue[{y_name}]:"
+    st.subheader(title)
+    st.dataframe(df_ax)
+
+# plot 1 Section
+    """Plot contains the top ranked games
+    based on the selected features, 
+    within selected genre
+    """
+def plot1_box(ax, y, order_name, ranges, df_ax, top_games):
+    ax_name = name(ax)          # formating strings
+    y_name = name(y)            # formeting strings
+    
+    title = f"1.3 Rank {ranges[0]} to {ranges[1]} :blue[{ax_name}] Games with the :red[{order_name}] :blue[{y_name}]"
+    st.subheader(title)
+
+    # Plot 1 - select box
+    favorite_game = searchbox()                                                     # search box to add a user favorite game on Plot 1
+    top_games = add_top_games(top_games, favorite_game, ranges, df_ax)        
+    options = top_games
+    selected_options = st.multiselect('Select Video Games', options)
+
+    # Plot 1
+    title_names = ','.join(selected_options)
+    plot_title = f"Monthly {y_name} of {title_names} Over Time"
+    gb = df.sort_values(by='date')
+    gb_list = {game: gb[gb["gamename"] == game] for game in selected_options}
+
+    fig_1 = go.Figure()
+    fig_1.update_layout(
+        title = plot_title, 
+        xaxis_title = 'Date',
+        yaxis_title = y_name,
+    )
+    for game, gb in gb_list.items():
+        fig_1 = fig_1.add_trace(go.Scatter(x=gb["date"], y=gb[y], name=game, mode='lines'))
+    st.plotly_chart(fig_1)
+
+def plot2_box(theme, y, genres, df_bx):
+    y_name = name(y)
+    
+    title = f"2.0 Comparison Among :blue[{theme}] on Monthly :blue[{y_name}]:"
+    st.subheader(title)
+
+    # Plot 2 - Multiselect box
+    options = genres
+    selected_options = st.multiselect('Select Comparing Categories', options)
+    selected_names = ','.join(selected_options)                         # formating titles
+    plot_title = f"Monthly {y_name} of {selected_names} Over Time"
+
+
+    # Plot 2
+
+    # Tab 1 - Mean Line Plot
+    gb = df_bx.sort_values(by='date')      # New copy of df
+    mean_list = {genre: gb[gb[genre] == 1].groupby('date').mean(y).reset_index() for genre in selected_options}
+
+    fig_mean = go.Figure()
+    for genre, gb in mean_list.items():
+        fig_mean = fig_mean.add_trace(go.Scatter(x=gb['date'], y=gb[y], name=genre, mode='lines'))
+    fig_mean.update_layout(
+        title = 'Mean of ' + plot_title,
+        xaxis_title = 'Date',
+        yaxis_title = 'Mean of '+y_name,
+    )
+
+
+    # Tab 2 - Sum Line Plot
+    gb = df_bx.sort_values(by='date')
+    sum_list = {genre: gb[gb[genre] == 1].groupby('date').sum(y).reset_index() for genre in selected_options}
+
+    fig_sum = go.Figure()
+    for genre, gb in sum_list.items():
+        fig_sum = fig_sum.add_trace(go.Scatter(x=gb['date'], y=gb[y], name=genre))
+    fig_sum.update_layout(
+        title = 'Sum of ' + plot_title,
+        xaxis_title='Date',
+        yaxis_title='Sum of '+y_name,
+    )
+
+    # Tab 3 - Scatter / Marker Plot
+    gb = df_bx.sort_values(by='date')
+    gb_list = {genre: gb[gb[genre] == 1] for genre in selected_options}
+
+    fig_sc = go.Figure()
+    for genre, gb in gb_list.items():
+        fig_sc = fig_sc.add_trace(go.Scatter(x=gb["date"], y=gb[y], name=genre, mode='markers'))
+    fig_sc.update_traces(
+        marker=dict(size=4, opacity=0.5)
+    )
+    fig_sc.update_layout(
+        title = plot_title,
+        xaxis_title='Date',
+        yaxis_title=y_name,
+    )
+
+
+    # Showing Plot
+    tab1, tab2, tab3 = st.tabs(['Line Plot', 'Sum Plot', 'Scatter Plot'])
+    with tab1:
+        st.plotly_chart(fig_mean)
+    with tab2:
+        st.plotly_chart(fig_sum)
+    with tab3:
+        st.plotly_chart(fig_sc)
+
+
+##### Execute Page #####
+def exec_page(emoji, theme, page_genres):
+    # Select Page
+    st_page_selectbox(theme)
+    
+    # Header
+    st.header(emoji)
+    st.title(f"Customized Plot on :blue[{theme}]")
+
+    ##### FILTER #####
+    # Featuer for both axis
+    features = ['avg', 'gain', 'peak', 'avg_peak_perc']
+    features += ['metacritic_score', 'positive', 'negative']
+    genres = page_genres
+    ##################
+
+
+    # User Menu
+    order = st.toggle(label='Rank the Worst Games', value=False)                    # descending order toggle switch
+    left_col, right_col = st.columns(2)                                             # Columns dividing 
+    with left_col: y = st.selectbox("Select a Feature (y-axis)", features)          # feature select box (y axis of Plots)
+    with right_col: ax = st.selectbox("Select a Genre (legend)", genres)            # category select box (filtering game basse on genre)
+
+    order_name='Worst' if order else 'Highest'                                      # string formating
+    y_name = name(y)                                            # string of names that would be used on Plot title
+    ax_name = name(ax)
+
+    # Data - sorting and filtering
+    df_ax = df[df[ax]==1]
+    df_ax = df_ax[['gamename', 'date', y, ax]].sort_values(by=y, ascending=order).reset_index()     # Data for Plot 1
+    df_bx = df[['gamename', 'date', y]+genres].sort_values(by=y, ascending=order).reset_index()     # Data for Plot 2
+
+
+    # Slider
+    max = df_ax.gamename.unique().tolist()                          # max number of games
+    max = len(max)-1
+    ranges = st.slider(
+        label=f'Select range of the {order_name.lower()} games',
+        value = (1, 5), 
+        min_value=1, max_value=30, 
+        # min_value=1, max_value=max, 
+    )
+    top_games = df_ax.gamename.unique()[ranges[0]-1:ranges[1]]
+    
+
+    # Dataframe preview
+    dfbox(ax_name, y_name, df_ax)
+
+    ##### PLOT 1 #####
+    # Plot 1 - markdown
+    st.markdown("""***""")
+    plot1_box(ax, y, order_name, ranges, df_ax, top_games)
+
+    ##### PLOT 2 #####
+    # Plot 2 - markdown
+    st.markdown("""***""")
+    plot2_box(theme, y, genres, df_bx)
+
+##### HOME PAGE #####
+def exec_page_home(theme):
+    st_page_selectbox(theme)
+    
+    # Header
+    st.header(f"👋 ForcaSteam")
+    st.title("Customized Plot on :blue[General Features]")
+
+    ##### FILTER #####
+    # Featuer for both axis
+    features = ['avg', 'gain', 'peak', 'avg_peak_perc']
+    genres = features
+
+
+    left_col, right_col = st.columns(2)
+    order = st.toggle(label='Rank the Worst Games', value=False)        # descending order toggle switch
+    y = st.selectbox("Select a Feature (y-axis)", features)                      # feature select box
+    order_name='Worst' if order else 'Highest'                          # string formating
+    y_name = name(y)
+
+    # Data - sorting and filtering
+    df_ax = df[['gamename', 'date', y]].sort_values(by=y, ascending=order).reset_index()    # Data - Plot 1
+    # df_bx = df[['gamename', 'date']+features].sort_values(by=y, ascending=order).reset_index()      # Data - Plot 2
+
+    # Slider
+    max = df_ax.gamename.unique().tolist()
+    max = len(max)-1
+    ranges = st.slider(
+        label=f'Select range of the {order_name.lower()} games',
+        value = (1, 5),
+        min_value=1, max_value=30, 
+        # min_value=1, max_value=max, 
+    )
+    top_games = df_ax.gamename.unique()[ranges[0]-1:ranges[1]]
+
+    # Dataframe preview
+    dfbox("", y_name, df_ax)
+
+
+    ##### PLOT 1 #####
+    # Plot 1 - markdown
+    st.markdown("""***""")
+    title = f"1.3 Rank {ranges[0]} to {ranges[1]} Games with the Overall :red[{order_name}] :blue[{y_name}]"
+    st.subheader(title)
+
+
+    # Plot 1 - select box
+    favorite_game = searchbox()                                                     # search box to add a user favorite game on Plot 1
+    top_games = add_top_games(top_games, favorite_game, ranges, df_ax) 
+    options = top_games
+    selected_options = st.multiselect('Select Video Games', options)
+
+    # Plot 1
+    title_names = ','.join(selected_options)
+    plot_title = f"Monthly {y_name} of {title_names} Over Time"
+    gb = df_ax.sort_values(by='date')
+    gb_list = {game: gb[gb["gamename"] == game] for game in selected_options}
+
+    fig_1 = go.Figure()
+    fig_1.update_layout(
+        title = plot_title, 
+        xaxis_title = 'Date',
+        yaxis_title = y_name,
+    )
+    for game, gb in gb_list.items():
+        fig_1 = fig_1.add_trace(go.Scatter(x=gb["date"], y=gb[y], name=game, mode='lines'))
+    st.plotly_chart(fig_1)
+
+##### PUBLISHERS PAGE #####
+def exec_page_pub(emoji, theme, main_genre):
+    st_page_selectbox(theme)
+    
+    # Header
+    st.header(emoji)
+    st.title(f"Customized Plot on :blue[{theme}]")
+
+    ##### FILTER #####
+    # Featuer for both axis
+    features = ['avg', 'gain', 'peak', 'avg_peak_perc']
+    features += ['metacritic_score', 'positive', 'negative']
+    genres = []
+
+    left_col, right_col = st.columns(2)
+    order = st.toggle(label='Find the Worst Games', value=False)        # descending order toggle switch
+    with left_col: 
+        y = st.selectbox("Select a Feature", features)                  # feature select box
+    with right_col: 
+        if (main_genre=='publishers'):
+            genres = df.sort_values(by=y, ascending=order).publishers.unique()[0:5].tolist()
+        elif (main_genre=='developers'):
+            genres = df.sort_values(by=y, ascending=order).developers.unique()[0:5].tolist()
+        
+        for genre in genres:
+            df[genre] = (df[main_genre]==genre)*1
+        ax = st.selectbox("Select a Category", genres)                  # category select box
+    order_name='Worst' if order else 'Highest'                          # string formating
+    y_name = y.replace('_', ' ').title()
+    ax_name = ax.title().replace('_', ' ')
+
+    # ### adding best publisher features feature ###
+
+    # Data - sorting and filtering
+    df_ax = df[df[ax]==1]
+    df_ax = df_ax[['gamename', 'date', y, ax]].sort_values(by=y, ascending=order).reset_index()    # Data - Plot 1
+    df_bx = df[['gamename', 'date', y]+genres].sort_values(by=y, ascending=order).reset_index()      # Data - Plot 2
+
+    # Slider
+    max = df_ax.gamename.unique().tolist()
+    max = len(max)
+    if(max < 2):value_r = 0
+    elif(max > 4):value_r = 5
+    else: value_r = max
+
+    ranges = st.slider(
+        label=f'Select range of the {order_name.lower()} games',
+        value = (1, value_r),
+        # min_value=0, max_value=30, 
+        min_value=1, max_value=max, 
+    )
+    top_games = df_ax.gamename.unique()[ranges[0]-1:ranges[1]]
+
+    # Dataframe preview
+    dfbox(ax_name, y_name, df_ax)
+
+    title = f"1.2 {ranges[1]} :blue[{ax_name}] Games with the :red[{order_name}] Monthly :blue[{y_name}]:"
+    st.subheader(title)
+    st.write(top_games)
+
+
+
+    ##### PLOT 1 #####
+    # Plot 1 - markdown
+    st.markdown("""***""")
+    plot1_box(ax, y, order_name, ranges, df_ax, top_games)
+
+
+    ##### PLOT 2 #####
+    # Plot 2 - markdown
+    st.markdown("""***""")
+    plot2_box(theme, y, genres, df_bx)

module/__selectpage__.py

@@ -0,0 +1,17 @@
+import streamlit as st
+from streamlit_extras.switch_page_button import switch_page 
+import os
+
+pages = ["Overall"]
+
+files = os.listdir('.\pages')
+for name in files:
+    name = name.split()[1].replace('.py', '').replace('_', ' ')
+    pages.append(name)
+
+
+def st_page_selectbox(current_page):
+    current_index = pages.index(current_page)
+    selected_page = st.selectbox("Select a category", pages, index=current_index)
+    if selected_page != current_page:
+        switch_page(selected_page)

notebook/.ipynb_checkpoints/04_pageNames_112923-checkpoint.ipynb

@@ -0,0 +1,77 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7c7ced02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "165abc6d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['1 Home_max_slidebar.py',\n",
+       " '10 Publisher.py',\n",
+       " '11 ForcaSteam.py',\n",
+       " '12 Tensorflow.py',\n",
+       " '13 switch_page_text.py',\n",
+       " '2 Category.py',\n",
+       " '3 Genre.py',\n",
+       " '4 DLC_Counts.py',\n",
+       " '5 Price.py',\n",
+       " '6 Age_Restriction.py',\n",
+       " '7 Settings.py',\n",
+       " '8 OS.py',\n",
+       " '9 Developer.py']"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# os.listdir('.\\pages')\n",
+    "os.listdir('..\\pages')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d7b8a756",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

notebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

notebook/04_pageNames_112923.ipynb

@@ -0,0 +1,1043 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "12d5e6b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "c1bf2ce1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['01 Home_max_slidebar.py',\n",
+       " '02 Category.py',\n",
+       " '03 Genre.py',\n",
+       " '04 DLC_Counts.py',\n",
+       " '05 Price.py',\n",
+       " '06 Age_Restriction.py',\n",
+       " '07 Settings.py',\n",
+       " '08 OS.py',\n",
+       " '09 Developer.py',\n",
+       " '10 Publisher.py',\n",
+       " '11 ForcaSteam.py',\n",
+       " '12 Tensorflow.py',\n",
+       " '13 switch_page_text.py']"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# os.listdir('.\\pages')\n",
+    "files = os.listdir('..\\pages')\n",
+    "files.sort()\n",
+    "files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "e7b90f67",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Home max slidebar',\n",
+       " 'Publisher',\n",
+       " 'ForcaSteam',\n",
+       " 'Tensorflow',\n",
+       " 'switch page text',\n",
+       " 'Category',\n",
+       " 'Genre',\n",
+       " 'DLC Counts',\n",
+       " 'Price',\n",
+       " 'Age Restriction',\n",
+       " 'Settings',\n",
+       " 'OS',\n",
+       " 'Developer']"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "names = []\n",
+    "for name in files:\n",
+    "    name = name.split()[1].replace('.py', '').replace('_', ' ')\n",
+    "    names.append(name)\n",
+    "    \n",
+    "names"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "7372f9fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'ipykernel_launcher.py'"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "os.path.basename(sys.argv[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "59b468b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>gamename</th>\n",
+       "      <th>year</th>\n",
+       "      <th>month</th>\n",
+       "      <th>avg</th>\n",
+       "      <th>gain</th>\n",
+       "      <th>peak</th>\n",
+       "      <th>avg_peak_perc</th>\n",
+       "      <th>date</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>required_age</th>\n",
+       "      <th>...</th>\n",
+       "      <th>genre_sports</th>\n",
+       "      <th>genre_racing</th>\n",
+       "      <th>genre_rpg</th>\n",
+       "      <th>genre_simulation</th>\n",
+       "      <th>indie</th>\n",
+       "      <th>full_audio</th>\n",
+       "      <th>full_controller_support</th>\n",
+       "      <th>age_0_plus</th>\n",
+       "      <th>age_13_plus</th>\n",
+       "      <th>age_18_plus</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>February</td>\n",
+       "      <td>278.67</td>\n",
+       "      <td>-25.23</td>\n",
+       "      <td>645</td>\n",
+       "      <td>43.2047%</td>\n",
+       "      <td>2021-02-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>January</td>\n",
+       "      <td>303.89</td>\n",
+       "      <td>-4.16</td>\n",
+       "      <td>614</td>\n",
+       "      <td>49.4935%</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>December</td>\n",
+       "      <td>308.05</td>\n",
+       "      <td>23.02</td>\n",
+       "      <td>743</td>\n",
+       "      <td>41.4603%</td>\n",
+       "      <td>2020-12-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>November</td>\n",
+       "      <td>285.03</td>\n",
+       "      <td>-7.41</td>\n",
+       "      <td>621</td>\n",
+       "      <td>45.8986%</td>\n",
+       "      <td>2020-11-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>October</td>\n",
+       "      <td>292.45</td>\n",
+       "      <td>46.68</td>\n",
+       "      <td>900</td>\n",
+       "      <td>32.4944%</td>\n",
+       "      <td>2020-10-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 42 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            gamename  year     month     avg   gain  peak avg_peak_perc  \\\n",
+       "0  100% Orange Juice  2021  February  278.67 -25.23   645      43.2047%   \n",
+       "1  100% Orange Juice  2021   January  303.89  -4.16   614      49.4935%   \n",
+       "2  100% Orange Juice  2020  December  308.05  23.02   743      41.4603%   \n",
+       "3  100% Orange Juice  2020  November  285.03  -7.41   621      45.8986%   \n",
+       "4  100% Orange Juice  2020   October  292.45  46.68   900      32.4944%   \n",
+       "\n",
+       "         date release_date  required_age  ...  genre_sports  genre_racing  \\\n",
+       "0  2021-02-01   2014-05-16             0  ...             0             0   \n",
+       "1  2021-01-01   2014-05-16             0  ...             0             0   \n",
+       "2  2020-12-01   2014-05-16             0  ...             0             0   \n",
+       "3  2020-11-01   2014-05-16             0  ...             0             0   \n",
+       "4  2020-10-01   2014-05-16             0  ...             0             0   \n",
+       "\n",
+       "   genre_rpg  genre_simulation  indie  full_audio  full_controller_support  \\\n",
+       "0          0                 0      1           1                        0   \n",
+       "1          0                 0      1           1                        0   \n",
+       "2          0                 0      1           1                        0   \n",
+       "3          0                 0      1           1                        0   \n",
+       "4          0                 0      1           1                        0   \n",
+       "\n",
+       "   age_0_plus age_13_plus age_18_plus  \n",
+       "0           1           0           0  \n",
+       "1           1           0           0  \n",
+       "2           1           0           0  \n",
+       "3           1           0           0  \n",
+       "4           1           0           0  \n",
+       "\n",
+       "[5 rows x 42 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('../data/join_02.csv')\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6e7bbe77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Format preparation\n",
+    "df['date'] = pd.to_datetime(df['date'])\n",
+    "df['release_date'] = pd.to_datetime(df['release_date'])\n",
+    "df['avg_peak_perc'] = df['avg_peak_perc'].str.rstrip('%').astype('float') \n",
+    "df = df.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "a4482277",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'100% Orange Juice'"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gamenames = df['gamename'].unique()\n",
+    "\n",
+    "def search(target):\n",
+    "    result = []\n",
+    "    for gamename in gamenames:\n",
+    "        if target.lower() in gamename.lower():\n",
+    "            result.append(gamename)\n",
+    "    return result \n",
+    "\n",
+    "favorite_game = search(\"orange\")[0]\n",
+    "favorite_game"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "00cf591f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>gamename</th>\n",
+       "      <th>year</th>\n",
+       "      <th>month</th>\n",
+       "      <th>avg</th>\n",
+       "      <th>gain</th>\n",
+       "      <th>peak</th>\n",
+       "      <th>avg_peak_perc</th>\n",
+       "      <th>date</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>required_age</th>\n",
+       "      <th>...</th>\n",
+       "      <th>genre_sports</th>\n",
+       "      <th>genre_racing</th>\n",
+       "      <th>genre_rpg</th>\n",
+       "      <th>genre_simulation</th>\n",
+       "      <th>indie</th>\n",
+       "      <th>full_audio</th>\n",
+       "      <th>full_controller_support</th>\n",
+       "      <th>age_0_plus</th>\n",
+       "      <th>age_13_plus</th>\n",
+       "      <th>age_18_plus</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>February</td>\n",
+       "      <td>278.67</td>\n",
+       "      <td>-25.23</td>\n",
+       "      <td>645</td>\n",
+       "      <td>43.2047</td>\n",
+       "      <td>2021-02-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>January</td>\n",
+       "      <td>303.89</td>\n",
+       "      <td>-4.16</td>\n",
+       "      <td>614</td>\n",
+       "      <td>49.4935</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>December</td>\n",
+       "      <td>308.05</td>\n",
+       "      <td>23.02</td>\n",
+       "      <td>743</td>\n",
+       "      <td>41.4603</td>\n",
+       "      <td>2020-12-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>November</td>\n",
+       "      <td>285.03</td>\n",
+       "      <td>-7.41</td>\n",
+       "      <td>621</td>\n",
+       "      <td>45.8986</td>\n",
+       "      <td>2020-11-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>100% Orange Juice</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>October</td>\n",
+       "      <td>292.45</td>\n",
+       "      <td>46.68</td>\n",
+       "      <td>900</td>\n",
+       "      <td>32.4944</td>\n",
+       "      <td>2020-10-01</td>\n",
+       "      <td>2014-05-16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63848</th>\n",
+       "      <td>theHunter Classic</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>November</td>\n",
+       "      <td>844.43</td>\n",
+       "      <td>-65.03</td>\n",
+       "      <td>1683</td>\n",
+       "      <td>50.1741</td>\n",
+       "      <td>2014-11-01</td>\n",
+       "      <td>2014-06-03</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63849</th>\n",
+       "      <td>theHunter Classic</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>October</td>\n",
+       "      <td>909.46</td>\n",
+       "      <td>258.77</td>\n",
+       "      <td>2293</td>\n",
+       "      <td>39.6625</td>\n",
+       "      <td>2014-10-01</td>\n",
+       "      <td>2014-06-03</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63850</th>\n",
+       "      <td>theHunter Classic</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>September</td>\n",
+       "      <td>650.69</td>\n",
+       "      <td>-63.60</td>\n",
+       "      <td>1717</td>\n",
+       "      <td>37.8969</td>\n",
+       "      <td>2014-09-01</td>\n",
+       "      <td>2014-06-03</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63851</th>\n",
+       "      <td>theHunter Classic</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>August</td>\n",
+       "      <td>714.29</td>\n",
+       "      <td>-337.67</td>\n",
+       "      <td>1181</td>\n",
+       "      <td>60.4818</td>\n",
+       "      <td>2014-08-01</td>\n",
+       "      <td>2014-06-03</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63852</th>\n",
+       "      <td>theHunter Classic</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>July</td>\n",
+       "      <td>1051.96</td>\n",
+       "      <td>-110.53</td>\n",
+       "      <td>2059</td>\n",
+       "      <td>51.0908</td>\n",
+       "      <td>2014-07-01</td>\n",
+       "      <td>2014-06-03</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>62567 rows × 42 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                gamename  year      month      avg    gain  peak  \\\n",
+       "0      100% Orange Juice  2021   February   278.67  -25.23   645   \n",
+       "1      100% Orange Juice  2021    January   303.89   -4.16   614   \n",
+       "2      100% Orange Juice  2020   December   308.05   23.02   743   \n",
+       "3      100% Orange Juice  2020   November   285.03   -7.41   621   \n",
+       "4      100% Orange Juice  2020    October   292.45   46.68   900   \n",
+       "...                  ...   ...        ...      ...     ...   ...   \n",
+       "63848  theHunter Classic  2014   November   844.43  -65.03  1683   \n",
+       "63849  theHunter Classic  2014    October   909.46  258.77  2293   \n",
+       "63850  theHunter Classic  2014  September   650.69  -63.60  1717   \n",
+       "63851  theHunter Classic  2014     August   714.29 -337.67  1181   \n",
+       "63852  theHunter Classic  2014       July  1051.96 -110.53  2059   \n",
+       "\n",
+       "       avg_peak_perc       date release_date  required_age  ...  genre_sports  \\\n",
+       "0            43.2047 2021-02-01   2014-05-16             0  ...             0   \n",
+       "1            49.4935 2021-01-01   2014-05-16             0  ...             0   \n",
+       "2            41.4603 2020-12-01   2014-05-16             0  ...             0   \n",
+       "3            45.8986 2020-11-01   2014-05-16             0  ...             0   \n",
+       "4            32.4944 2020-10-01   2014-05-16             0  ...             0   \n",
+       "...              ...        ...          ...           ...  ...           ...   \n",
+       "63848        50.1741 2014-11-01   2014-06-03             0  ...             1   \n",
+       "63849        39.6625 2014-10-01   2014-06-03             0  ...             1   \n",
+       "63850        37.8969 2014-09-01   2014-06-03             0  ...             1   \n",
+       "63851        60.4818 2014-08-01   2014-06-03             0  ...             1   \n",
+       "63852        51.0908 2014-07-01   2014-06-03             0  ...             1   \n",
+       "\n",
+       "       genre_racing  genre_rpg  genre_simulation  indie  full_audio  \\\n",
+       "0                 0          0                 0      1           1   \n",
+       "1                 0          0                 0      1           1   \n",
+       "2                 0          0                 0      1           1   \n",
+       "3                 0          0                 0      1           1   \n",
+       "4                 0          0                 0      1           1   \n",
+       "...             ...        ...               ...    ...         ...   \n",
+       "63848             0          0                 1      0           1   \n",
+       "63849             0          0                 1      0           1   \n",
+       "63850             0          0                 1      0           1   \n",
+       "63851             0          0                 1      0           1   \n",
+       "63852             0          0                 1      0           1   \n",
+       "\n",
+       "       full_controller_support  age_0_plus age_13_plus age_18_plus  \n",
+       "0                            0           1           0           0  \n",
+       "1                            0           1           0           0  \n",
+       "2                            0           1           0           0  \n",
+       "3                            0           1           0           0  \n",
+       "4                            0           1           0           0  \n",
+       "...                        ...         ...         ...         ...  \n",
+       "63848                        0           1           0           0  \n",
+       "63849                        0           1           0           0  \n",
+       "63850                        0           1           0           0  \n",
+       "63851                        0           1           0           0  \n",
+       "63852                        0           1           0           0  \n",
+       "\n",
+       "[62567 rows x 42 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "ad7114d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>gamename</th>\n",
+       "      <th>year</th>\n",
+       "      <th>month</th>\n",
+       "      <th>avg</th>\n",
+       "      <th>gain</th>\n",
+       "      <th>peak</th>\n",
+       "      <th>avg_peak_perc</th>\n",
+       "      <th>date</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>required_age</th>\n",
+       "      <th>...</th>\n",
+       "      <th>genre_sports</th>\n",
+       "      <th>genre_racing</th>\n",
+       "      <th>genre_rpg</th>\n",
+       "      <th>genre_simulation</th>\n",
+       "      <th>indie</th>\n",
+       "      <th>full_audio</th>\n",
+       "      <th>full_controller_support</th>\n",
+       "      <th>age_0_plus</th>\n",
+       "      <th>age_13_plus</th>\n",
+       "      <th>age_18_plus</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>12 is Better Than 6</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>February</td>\n",
+       "      <td>5.24</td>\n",
+       "      <td>-0.70</td>\n",
+       "      <td>13</td>\n",
+       "      <td>40.3077</td>\n",
+       "      <td>2021-02-01</td>\n",
+       "      <td>2015-11-20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>12 is Better Than 6</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>January</td>\n",
+       "      <td>5.94</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>18</td>\n",
+       "      <td>33.0000</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>2015-11-20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>86</th>\n",
+       "      <td>12 is Better Than 6</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>December</td>\n",
+       "      <td>5.16</td>\n",
+       "      <td>-0.08</td>\n",
+       "      <td>21</td>\n",
+       "      <td>24.5714</td>\n",
+       "      <td>2020-12-01</td>\n",
+       "      <td>2015-11-20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87</th>\n",
+       "      <td>12 is Better Than 6</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>November</td>\n",
+       "      <td>5.24</td>\n",
+       "      <td>0.89</td>\n",
+       "      <td>18</td>\n",
+       "      <td>29.1111</td>\n",
+       "      <td>2020-11-01</td>\n",
+       "      <td>2015-11-20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>88</th>\n",
+       "      <td>12 is Better Than 6</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>October</td>\n",
+       "      <td>4.35</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>38</td>\n",
+       "      <td>11.4474</td>\n",
+       "      <td>2020-10-01</td>\n",
+       "      <td>2015-11-20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 42 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               gamename  year     month   avg  gain  peak  avg_peak_perc  \\\n",
+       "84  12 is Better Than 6  2021  February  5.24 -0.70    13        40.3077   \n",
+       "85  12 is Better Than 6  2021   January  5.94  0.78    18        33.0000   \n",
+       "86  12 is Better Than 6  2020  December  5.16 -0.08    21        24.5714   \n",
+       "87  12 is Better Than 6  2020  November  5.24  0.89    18        29.1111   \n",
+       "88  12 is Better Than 6  2020   October  4.35  0.64    38        11.4474   \n",
+       "\n",
+       "         date release_date  required_age  ...  genre_sports  genre_racing  \\\n",
+       "84 2021-02-01   2015-11-20             0  ...             0             0   \n",
+       "85 2021-01-01   2015-11-20             0  ...             0             0   \n",
+       "86 2020-12-01   2015-11-20             0  ...             0             0   \n",
+       "87 2020-11-01   2015-11-20             0  ...             0             0   \n",
+       "88 2020-10-01   2015-11-20             0  ...             0             0   \n",
+       "\n",
+       "    genre_rpg  genre_simulation  indie  full_audio  full_controller_support  \\\n",
+       "84          0                 0      1           0                        1   \n",
+       "85          0                 0      1           0                        1   \n",
+       "86          0                 0      1           0                        1   \n",
+       "87          0                 0      1           0                        1   \n",
+       "88          0                 0      1           0                        1   \n",
+       "\n",
+       "    age_0_plus age_13_plus age_18_plus  \n",
+       "84           1           0           0  \n",
+       "85           1           0           0  \n",
+       "86           1           0           0  \n",
+       "87           1           0           0  \n",
+       "88           1           0           0  \n",
+       "\n",
+       "[5 rows x 42 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_filter = df[df['gamename']!=favorite_game]\n",
+    "df_filter.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "2ceb810a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "073ede90",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['100% Orange Juice', '12 is Better Than 6', '140', '60 Seconds!',\n",
+       "       '7 Days to Die', '100% Orange Juice'], dtype=object)"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_games = df.gamename.unique()[0:5]\n",
+    "# top_games.append(favorite_game)\n",
+    "top_games = numpy.append(top_games, favorite_game)\n",
+    "top_games"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc15f96c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

pages/01 Category.py

@@ -0,0 +1,10 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Category"
+page_genres = ['multi_player', 'pvp', 'co-op', 'single_player']
+add_genre = ['single_player', 'multi_player']
+
+add_opp_features(add_genre)
+exec_page('🤼', theme, page_genres)

pages/02 Genre.py

@@ -0,0 +1,12 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Genre"
+page_genres = ['genre_action', 'genre_adventure', 'genre_casual',
+       'genre_sexual_content', 'genre_strategy', 'genre_sports',
+       'genre_racing', 'genre_rpg', 'genre_simulation', 'indie', 'mainstream']
+add_genre = ['mainstream', 'indie']
+
+add_opp_features(add_genre)
+exec_page('🦹‍♀️', theme, page_genres)

pages/03 DLC_Counts.py

@@ -0,0 +1,18 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "DLC Counts"
+page_genres = ['dlc_0', 'dlc_5', 'dlc_15', 'dlc_40', 'dlc_100', 'dlc_300', 'dlc_most']
+add_genres = [[0, 1, 'dlc_0', 'dlc_count'], 
+              [1, 6, 'dlc_5', 'dlc_count'],
+              [6, 16, 'dlc_15', 'dlc_count'],
+              [16, 41, 'dlc_40', 'dlc_count'],
+              [41, 101, 'dlc_100', 'dlc_count'],
+              [101, 301, 'dlc_300', 'dlc_count'],
+              [301, 9999, 'dlc_most', 'dlc_count']]
+
+# ### adding single-player feature ###
+for add in add_genres:
+       add_range_features(add)
+exec_page('🪜', theme, page_genres)

pages/04 Price.py

@@ -0,0 +1,19 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Price"
+page_genres = ['price_free', 'price_5', 'price_15', 'price_20', 'price_40', 'price_60', 'price_most']
+add_genres = [[0, 0.001, 'price_free', 'price'], 
+              [0.001, 5.001, 'price_5', 'price'],
+              [5.001, 10.001, 'price_10', 'price'],
+              [10.001, 15.001, 'price_15', 'price'],
+              [15.001, 20.001, 'price_20', 'price'],
+              [20.001, 40.001, 'price_40', 'price'],
+              [40.001, 60.001, 'price_60', 'price'], 
+              [60.001, 9999, 'price_most', 'price']]
+
+# ### adding single-player feature ###
+for add in add_genres:
+       add_range_features(add)
+exec_page('💸', theme, page_genres)

pages/05 Age_Restriction.py

@@ -0,0 +1,7 @@
+import streamlit as st
+
+from module.__custom__ import exec_page
+
+theme = "Age Restriction"
+page_genres = ['age_0_plus', 'age_13_plus', 'age_18_plus']
+exec_page('👴', theme, page_genres)

pages/06 Settings.py

@@ -0,0 +1,12 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Settings"
+page_genres = ['full_audio', 'full_controller_support', 'not_full_audio', 'not_full_controller']
+add_genres = [['not_full_audio', 'full_audio'], ['not_full_controller', 'full_controller_support'] ]
+
+# ### adding single-player feature ###
+for add in add_genres:
+       add_opp_features(add)
+exec_page('🎧', theme, page_genres)

pages/07 OS.py

@@ -0,0 +1,12 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "OS"
+page_genres = ['windows', 'mac', 'linux', 'not_windows', 'not_mac', 'not_linux']
+add_genres = [['not_windows', 'windows'], ['not_mac', 'mac'], ['not_linux', 'linux'] ]
+
+# ### adding single-player feature ###
+for add in add_genres:
+       add_opp_features(add)
+exec_page('🖥', theme, page_genres)

pages/08 Publisher.py

@@ -0,0 +1,8 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Publisher"
+main_genre = "publishers"
+
+exec_page_pub('🛒', theme, main_genre)

pages/09 Developer.py

@@ -0,0 +1,8 @@
+import streamlit as st
+
+from module.__custom__ import *
+
+theme = "Developer"
+main_genre = "developers"
+
+exec_page_pub('💽', theme, main_genre)

requirements.txt

@@ -0,0 +1,6 @@
+numpy==1.24.4
+pandas==1.5.3
+plotly==5.17.0
+streamlit==1.28.2
+streamlit_extras==0.3.5
+streamlit_searchbox==0.1.6