Code 4

Code 4

+plt.figure(figsize=(20,15))
+plt.xticks(rotation=90)
+ax=sns.countplot(x="Category", data=df)
+plt.grid()
+
+cat = df['Category'].value_counts().reset_index()
+
+plt.figure(figsize=(20,12))
+plt.pie(cat['Category'], labels=cat['index'], autopct='%.2f%%')
+plt.title('Category Distribution')
+plt.show()
+
+df['Resume']
+0      Skills * Programming Languages: Python (pandas...
+1      Education Details \r\nMay 2013 to May 2017 B.E...
+2      Areas of Interest Deep Learning, Control Syste...
+3      Skills • R • Python • SAP HANA • Table...
+4      Education Details \r\n MCA   YMCAUST,  Faridab...
+                             ...                        
+957    Computer Skills: • Proficient in MS office (...
+958    ❖ Willingness to accept the challenges. ❖ ...
+959    PERSONAL SKILLS • Quick learner, • Eagerne...
+960    COMPUTER SKILLS & SOFTWARE KNOWLEDGE MS-Power ...
+961    Skill Set OS Windows XP/7/8/8.1/10 Database MY...
+Name: Resume, Length: 962, dtype: object
+Basic Data Cleaning
+remove blank empty lines, remove newlines \r\n
+df['Resume'] = df['Resume'].apply(lambda x: re.sub(r'\n{2,}', "", x)) # remove blank empty lines
+df['Resume'] = df['Resume'].apply(lambda x: re.sub(r'\r\n', "", x)) # remove newlines \r\n
+df['Resume']
\ No newline at end of file