Explore missing application categories.
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# ---
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# jupyter:
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# jupytext:
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# formats: ipynb,py:percent
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# text_representation:
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# extension: .py
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# format_name: percent
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# format_version: '1.3'
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# jupytext_version: 1.11.4
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# kernelspec:
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# display_name: straw2analysis
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# language: python
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# name: straw2analysis
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# ---
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# %%
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# %matplotlib inline
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import os
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import sys
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import matplotlib.pyplot as plt
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import pandas as pd
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import seaborn as sns
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nb_dir = os.path.split(os.getcwd())[0]
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if nb_dir not in sys.path:
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sys.path.append(nb_dir)
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# %%
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from config.models import AppCategories, Participant
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from setup import db_engine, session
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# %%
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query_app_categories = session.query(AppCategories)
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with db_engine.connect() as connection:
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df_app_categories = pd.read_sql(query_app_categories.statement, connection)
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# %%
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df_app_categories.head()
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# %%
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df_app_categories["play_store_genre"].value_counts()
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# %%
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df_category_not_found = df_app_categories[df_app_categories["play_store_genre"] == "not_found"]
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# %%
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df_category_not_found["play_store_response"].value_counts()
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# %%
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df_category_not_found["package_name"].value_counts()
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# %%
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manufacturers = ["samsung","oneplus","huawei","xiaomi","lge","motorola","miui","lenovo","oppo","mediatek"]
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custom_rom = ["coloros","lineageos","myos","cyanogenmod", "foundation.e"]
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other = ["android", "wssyncmldm"]
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rows_os_manufacturer = df_category_not_found["package_name"].str.contains("|".join(manufacturers + custom_rom + other), case=False)
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# %%
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with pd.option_context(
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"display.max_rows", None, "display.max_columns", None
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):
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display(df_category_not_found.loc[~rows_os_manufacturer])
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