cjl_data.py

import pandas as pd
from dateutil import parser
import plotly.express as px

df1 = pd.read_csv("./monthly_job_applications_2025-04-15T08_01_46.84848Z.csv")
df2 = pd.read_csv("./monthly_job_posts_2025-04-15T08_01_39.691275Z.csv")

df1.rename(columns={"Created At": "Month"}, inplace = True)
df2.rename(columns={"Published At": "Month"}, inplace = True)

df1.rename(columns={"Count": "Count_A"}, inplace = True)
df2.rename(columns={"Count": "Count_P"}, inplace  = True)

df1["Month"].apply(lambda x: parser.parse(x))
df2["Month"].apply(lambda x: parser.parse(x))

df = pd.merge(df1, df2, on="Month")
df["Count_A"].apply(lambda x: int(x))
df["Count_P"].apply(lambda x: int(x))
df["Ratio"] = round(df['Count_P']/df['Count_A'], 2)

fig = px.bar(df, x='Month', y='Ratio')
fig.show()