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ig_fake_account_detector.py

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+# -*- coding: utf-8 -*-
+"""IG Fake Account Detector
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/11AvA8ysxhTbkhDXq-Sn2HnnKRgdGeT9U
+"""
+
+# Commented out IPython magic to ensure Python compatibility.
+import numpy as np
+import pandas as pd
+import seaborn as sns
+import plotly.express as px
+import matplotlib.pyplot as plt
+from matplotlib import style
+# %matplotlib inline
+import warnings
+warnings.filterwarnings('ignore')
+
+df = pd.read_csv('/content/final-v1.csv')
+
+df.head(5)
+
+df.tail(5)
+
+df.shape
+
+df.columns
+
+print(df)
+print('dimensions:')
+print(df.shape)
+print('Information:')
+df.info()
+
+print(df.apply(lambda col: col.unique()))
+
+df.nunique()
+
+df.corr()
+
+df.isnull().sum()
+
+df.describe().T
+
+df.drop(["has_guides"],axis=1,inplace=True)
+df.drop(["edge_follow"],axis=1,inplace=True)
+df.drop(["has_channel"],axis=1,inplace=True)
+df.drop(["edge_followed_by"],axis=1,inplace=True)
+
+df.head(5)
+
+account = df.groupby("is_business_account")
+account = account.size()
+account
+
+plt.pie(account.values , labels = ("Business Account", "Personal Account"), autopct='%1.1f%%',colors=['Lavender','lightgreen'], radius = 1, textprops = {"fontsize" : 16})
+plt.title("Account Type", c="Blue")
+plt.show()
+
+account1 = df.groupby("is_private")
+account1 = account1.size()
+account1
+
+plt.pie(account1.values, labels = ("Private", "Public"), autopct='%1.1f%%', colors=['pink', 'skyblue'], radius = 1.2, textprops = {"fontsize" : 16})
+plt.title("Account Type", c="Blue")
+plt.show()
+
+fake_account_counts = df['is_fake'].value_counts()
+labels = ['Yes', 'No']
+colors = ['Skyblue', 'lightgreen']
+explode = (0.1, 0)
+
+plt.figure(figsize=(6, 4))
+plt.pie(fake_account_counts, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140, pctdistance=0.85, explode=explode)
+plt.title('Fake Accounts Distribution', fontsize=16)
+
+
+centre_circle = plt.Circle((0,0),0.70,fc='white')
+fig = plt.gcf()
+fig.gca().add_artist(centre_circle)
+plt.axis('equal')
+plt.show()
+
+def barplot(column, horizontal):
+  plt.figure(figsize=(4, 4))
+  sns.countplot(x=column, data=df, palette='viridis')
+  plt.xlabel(column)
+  plt.ylabel("Fake")
+  plt.title(f"Users have Business Account", fontweight='bold')
+  plt.xticks(rotation=45)
+  sns.despine()
+  plt.tight_layout()
+  plt.show()
+
+barplot('is_business_account', True)
+
+def barplot(column, horizontal):
+  plt.figure(figsize=(4, 4))
+  sns.countplot(x=column, data=df, palette='viridis')
+  plt.xlabel(column)
+  plt.ylabel("Fake")
+  plt.title(f"Private Account", fontweight='bold')
+  plt.xticks(rotation=45)
+  sns.despine()
+  plt.tight_layout()
+  plt.show()
+
+barplot('is_private', True)
+
+def barplot(column, horizontal):
+  plt.figure(figsize=(4, 4))
+  sns.countplot(x=column, data=df, palette='viridis')
+  plt.xlabel(column)
+  plt.ylabel("Fake")
+  plt.title(f"User name has number", fontweight='bold')
+  plt.xticks(rotation=45)
+  sns.despine()
+  plt.tight_layout()
+  plt.show()
+
+barplot('username_has_number', True)
+
+def barplot(column, horizontal):
+  plt.figure(figsize=(4, 4))
+  sns.countplot(x=column, data=df, palette='viridis')
+  plt.xlabel(column)
+  plt.ylabel("Fake")
+  plt.title(f"User's full Name Has Number", fontweight='bold')
+  plt.xticks(rotation=45)
+  sns.despine()
+  plt.tight_layout()
+  plt.show()
+
+barplot('full_name_has_number', True)
+
+def barplot(column, horizontal):
+  plt.figure(figsize=(4, 4))
+  sns.countplot(x=column, data=df, palette='viridis')
+  plt.xlabel(column)
+  plt.ylabel("Fake")
+  plt.title(f"Users are Joined Recently", fontweight='bold')
+  plt.xticks(rotation=45)
+  sns.despine()
+  plt.tight_layout()
+  plt.show()
+
+barplot('is_joined_recently', True)
+
+def barplot(column, horizontal):
+  plt.figure(figsize=(6, 6))
+  sns.countplot(x=column, data=df, palette='viridis')
+  plt.xlabel(column)
+  plt.ylabel("Fake")
+  plt.title(f"User's full name length", fontweight='bold')
+  plt.xticks(rotation=45)
+  sns.despine()
+  plt.tight_layout()
+  plt.show()
+
+barplot('username_length', True)