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Fixed the streamlit app #276

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merged 3 commits into from
Jun 7, 2024
Merged

Fixed the streamlit app #276

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87a6c95
bug fixed
revanth1718 Jun 6, 2024
82f5944
bug fixed
revanth1718 Jun 6, 2024
814522d
bug fixed
revanth1718 Jun 6, 2024
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14 changes: 7 additions & 7 deletions streamlit/functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,16 +9,16 @@
from scipy.stats import norm
import re

data = pd.read_csv('df2020.csv')
df2018 = pd.read_csv('df2018.csv')
full_data2018 = pd.read_csv('survey_results_sample_2018.csv')
full_data2019=pd.read_csv('survey_results_sample_2019.csv')
full_df2020 = pd.read_csv('survey_results_sample_2020.csv')
df2019 = pd.read_csv('df2019.csv')
data = pd.read_csv('streamlit/df2020.csv')
df2018 = pd.read_csv('streamlit/df2018.csv')
full_data2018 = pd.read_csv('streamlit/survey_results_sample_2018.csv')
full_data2019=pd.read_csv('streamlit/survey_results_sample_2019.csv')
full_df2020 = pd.read_csv('streamlit/survey_results_sample_2020.csv')
df2019 = pd.read_csv('streamlit/df2019.csv')
df2020 = data[(data['SalaryUSD'] < 200000)]

# features for job satisfaction
results = pd.read_csv("results.csv")
results = pd.read_csv("streamlit/results.csv")


#######################################
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25 changes: 11 additions & 14 deletions streamlit/home.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,35 +10,31 @@
import random
import functions as ff
import main_analysis as main
import os


#######################################
# DATA LOADING
#######################################

st.set_page_config(layout='wide')

# Determine the base path
base_path = os.path.dirname(__file__)

# Loading data files
df = pd.read_csv(os.path.join(base_path, 'df2020.csv'))
df2018 = pd.read_csv(os.path.join(base_path, 'df2018.csv'))
full_data2018 = pd.read_csv(os.path.join(base_path, 'survey_results_sample_2018.csv'))
full_data2019 = pd.read_csv(os.path.join(base_path, 'survey_results_sample_2019.csv'))
full_df2020 = pd.read_csv(os.path.join(base_path, 'survey_results_sample_2020.csv'))
df2019 = pd.read_csv(os.path.join(base_path, 'df2019.csv'))
# Loading data files from the 'streamlit' directory
df = pd.read_csv('streamlit/df2020.csv')
df2018 = pd.read_csv('streamlit/df2018.csv')
full_data2018 = pd.read_csv('streamlit/survey_results_sample_2018.csv')
full_data2019 = pd.read_csv('streamlit/survey_results_sample_2019.csv')
full_df2020 = pd.read_csv('streamlit/survey_results_sample_2020.csv')
df2019 = pd.read_csv('streamlit/df2019.csv')

# Filter the 2020 dataframe
df2020 = df[df['SalaryUSD'] < 200000]

# Load CSS file
def local_css(file_name):
css_path = os.path.join(base_path, file_name)
with open(css_path) as f:
with open(file_name) as f:
st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)

local_css("style.css")
local_css("streamlit/style.css")

#######################################
# DATA PREPARATION FOR VISUALISATION
Expand Down Expand Up @@ -203,3 +199,4 @@ def plot_value_counts(column_name):
</div>
"""
st.markdown(highest_paying_ds_text, unsafe_allow_html=True)

14 changes: 7 additions & 7 deletions streamlit/main_analysis.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,16 +3,16 @@
import plotly.express as px
import functions as ff

data = pd.read_csv('df2020.csv')
df2018 = pd.read_csv('df2018.csv')
full_data2018 = pd.read_csv('survey_results_sample_2018.csv')
full_data2019=pd.read_csv('survey_results_sample_2019.csv')
full_df2020 = pd.read_csv('survey_results_sample_2020.csv')
df2019 = pd.read_csv('df2019.csv')
data = pd.read_csv('streamlit/df2020.csv')
df2018 = pd.read_csv('streamlit/df2018.csv')
full_data2018 = pd.read_csv('streamlit/survey_results_sample_2018.csv')
full_data2019=pd.read_csv('streamlit/survey_results_sample_2019.csv')
full_df2020 = pd.read_csv('streamlit/survey_results_sample_2020.csv')
df2019 = pd.read_csv('streamlit/df2019.csv')
df2020 = data[(data['SalaryUSD'] < 200000)]

# features for job satisfaction
results = pd.read_csv("results.csv")
results = pd.read_csv("streamlit/results.csv")

# for hightest paying ds
full_data2018.rename(columns={'ConvertedSalary': 'SalaryUSD'}, inplace=True)
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