Jaime Cheng softserveslayer

## migration_sequencer.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>dbt migration sequencer</title>
<style>
*{box-sizing:border-box;margin:0;padding:0}
body{font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif;background:#f5f5f2;color:#1a1a18;font-size:14px;line-height:1.5}
.page{max-width:900px;margin:0 auto;padding:1.5rem 1rem}

## gist:2810498cd6e3e0cc4eb1a3793eb6484f
df['category']=np.where(df['category'] =="Women's Apparel", 'Apparel_Shoes', df['category'])
df['category']=np.where(df['category'] =="Men and Women's Apparel", 'Apparel_Shoes', df['category'])
df['category']=np.where(df['category'] =="Baby and Children's Apparel and Accessories", 'Apparel_Shoes', df['category'])
df['category']=np.where(df['category'] =="Undergarments and Basics", 'Apparel_Shoes', df['category'])
df['category']=np.where(df['category'] =="Men and Women's Shoes", 'Apparel_Shoes', df['category'])
df['category']=np.where(df['category'] =="Costumes", 'Apparel_Shoes', df['category'])
df['category']=np.where(df['category'] =="Women's Shoes", 'Apparel_Shoes', df['category'])

df['category']=np.where(df['category'] =="Fitness Programs", 'Fitness_Health', df['category'])
df['category']=np.where(df['category'] =="Fitness Apparel and Accessories", 'Fitness_Health', df['category'])

## sharktank.ipynb

      
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                softserveslayer
                / sharktank.ipynb
            
            
              Created
              December 24, 2018 03:12
            
          
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## user_profiles.py
columns = ['TV',
'Politics-Domestic',
'Movies',
'Music',
'Celebrity',
'Feminism-Politics-Identity',
'Culture-Media',
'Celebrity',
'Culture-Media',
'Beauty',
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width,initial-scale=1">
	<title>dbt migration sequencer</title>
	<style>
	*{box-sizing:border-box;margin:0;padding:0}
	body{font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif;background:#f5f5f2;color:#1a1a18;font-size:14px;line-height:1.5}
	.page{max-width:900px;margin:0 auto;padding:1.5rem 1rem}
	df['category']=np.where(df['category'] =="Women's Apparel", 'Apparel_Shoes', df['category'])
	df['category']=np.where(df['category'] =="Men and Women's Apparel", 'Apparel_Shoes', df['category'])
	df['category']=np.where(df['category'] =="Baby and Children's Apparel and Accessories", 'Apparel_Shoes', df['category'])
	df['category']=np.where(df['category'] =="Undergarments and Basics", 'Apparel_Shoes', df['category'])
	df['category']=np.where(df['category'] =="Men and Women's Shoes", 'Apparel_Shoes', df['category'])
	df['category']=np.where(df['category'] =="Costumes", 'Apparel_Shoes', df['category'])
	df['category']=np.where(df['category'] =="Women's Shoes", 'Apparel_Shoes', df['category'])

	df['category']=np.where(df['category'] =="Fitness Programs", 'Fitness_Health', df['category'])
	df['category']=np.where(df['category'] =="Fitness Apparel and Accessories", 'Fitness_Health', df['category'])
	columns = ['TV',
	'Politics-Domestic',
	'Movies',
	'Music',
	'Celebrity',
	'Feminism-Politics-Identity',
	'Culture-Media',
	'Celebrity',
	'Culture-Media',
	'Beauty',