#!/usr/bin/env python
# coding: utf-8

# In[4]:


import pandas as pd
# from google.cloud import bigquery
import seaborn as sns
# client = bigquery.Client.from_service_account_json(r'C:\Users\lmeji\OneDrive\Github\Python\BigQuery\fleet-parser-330316-d0e1b6cf4fd1.json')

log_weighins = pd.read_excel(r'C:\Users\lmeji\OneDrive\Documents\Tableau\Files for Tableau\Luis - Log.xlsx',sheet_name='WeighIns')
get_ipython().run_line_magic('matplotlib', 'inline')


# In[5]:


try:
    sns_df = sns.load_dataset('tips') #this is using a builtin dataset called "tips"BytesWarning
    sns.displot(sns_df[['total_bill']], kde=True, bins=30)
except Exception as e:
    print(e)


# In[6]:


sns.jointplot(x='total_bill',y='tip',data=sns_df,kind='reg') #kind='hex','reg','scatter','kde'


# In[7]:


sns.pairplot(sns_df,hue='sex') # palette='pink'


# In[8]:


sns.rugplot(sns_df['total_bill'])


# # Categorical Plots

# In[14]:


sns.boxplot(x='day',y='total_bill',data=sns_df,hue='smoker')


# In[13]:


print(sns_df.head(10))
sns.countplot(x='sex',data=sns_df,hue='smoker')


# In[22]:


sns.violinplot(x='day',y='total_bill',data=sns_df,hue='sex',split=True)