{\rtf1\ansi\ansicpg1252\cocoartf1561\cocoasubrtf610 {\fonttbl\f0\fswiss\fcharset0 Helvetica;\f1\fnil\fcharset0 Menlo-Regular;} {\colortbl;\red255\green255\blue255;\red0\green0\blue0;\red255\green255\blue255;} {*\expandedcolortbl;;\csgray\c0;\csgray\c100000;} \margl1440\margr1440\vieww10800\viewh8400\viewkind0 \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\f0\fs24 \cf0 This is an exploration of an HR dataset. There are 19158 entries and 13 variables.
To run, execute from terminal: python3 Main.py
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\f1\fs22 \cf2 \cb3 \CocoaLigature0 enrollee_id 19158 non-null int64
\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\partightenfactor0
1 city 19158 non-null object
2 city_development_index 19158 non-null float64
3 gender 14650 non-null object
4 relevent_experience 19158 non-null object
5 enrolled_university 18772 non-null object
6 education_level 18698 non-null object
7 major_discipline 16345 non-null object
8 experience 19093 non-null object
9 company_size 13220 non-null object
10 company_type 13018 non-null object
11 last_new_job 18735 non-null object
12 training_hours 19158 non-null int64
13 target 19158 non-null float64
\f0\fs24 \cf0 \cb1 \CocoaLigature1
}