merge

.gitignore

@@ -0,0 +1 @@
+ven/*

01_api_calls/.ipynb_checkpoints/example_dashboard_saferproducts-checkpoint.py

@@ -0,0 +1,67 @@
+import pandas as pd
+import streamlit as st
+import urllib.request
+import json
+
+
+"""
+## Dashboard Template
+
+This simple dashboard provides tables from the saferproducts.gov API.
+
+- `remedy` is how consumers were compensated for the recall
+- `mnf_country` is the place where the product originated
+
+We focus on products in which the word "gas" appeared in the Recall Title.
+"""
+
+url = 'https://www.saferproducts.gov/RestWebServices/Recall'
+#query = '?format=json&ProductType=Phone' #29
+#query = '?format=json&ProductType=Grill' #70
+#query = '?format=json&ProductType=Exercise' # 91
+query = '?format=json&RecallTitle=Gas' # 216
+
+response = urllib.request.urlopen(url+query)
+response_bytes = response.read()
+data = json.loads(response_bytes)
+response.close() 
+
+df = pd.DataFrame.from_dict(data)
+print(df.shape)
+
+df.head()
+
+temp = df['ManufacturerCountries']
+clean_values = []
+for i in range(len(temp)):
+    if len(temp[i])==1 :
+        clean_values.append( str(temp[i][0]['Country']) )
+    elif len(temp[i])>1:
+        countries = []
+        for j in range(len(temp[i])):
+            countries.append( temp[i][j]['Country'] )
+        clean_values.append( str(countries) )
+    else:
+        clean_values.append('')
+df['mnf_country'] = clean_values
+st.write(df['mnf_country'].value_counts())
+
+temp = df['RemedyOptions']
+clean_values = []
+for i in range(len(temp)):
+    if len(temp[i])>0:
+        values = []
+        for j in range(len(temp[i])):
+            values.append(temp[i][j]['Option'] )
+        clean_values.append(values[0])
+    else:
+        clean_values.append('')
+df['remedy'] = clean_values
+st.write(df['remedy'].value_counts())
+
+pd.set_option('display.max_rows', None)
+pd.set_option('display.max_columns', None)
+xtab = pd.crosstab( df['remedy'],df['mnf_country'] )
+
+# Create streamlit output:
+st.write(xtab)

01_api_calls/api_eda.py

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+import pandas as pd
+import requests
+import streamlit as st
+import urllib.request
+import json
+
+url = 'https://wizard-world-api.herokuapp.com/' # Location of the API
+query = 'Houses' # The query
+response = urllib.request.urlopen(url+query)
+response_bytes = response.read()
+
+data = json.loads(response_bytes) # Convert response to json
+df = pd.DataFrame.from_dict(data)
+
+houses = {}
+
+for field in data:
+    traits = []
+    for trait in field['traits']:
+        traits.append(trait['name'])
+    houses[field['name']] = traits
+
+
+for house in houses:
+    print(houses[house])
+
+
+st.set_page_config(page_title="Hogwarts Houses and Traits")
+st.markdown("<h1 style='text-align: center; color: #9c27b0;'>Hogwarts Houses and Their Traits</h1>", unsafe_allow_html=True)
+
+for house in houses:
+    st.subheader(f"{house} Traits")
+    for trait in houses[house]:
+        st.write(f"- {trait}")
+    st.write("---")

01_api_calls/remedy.py

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+import pandas as pd
+import requests
+import streamlit as st
+import urllib.request
+import json
+
+url = 'https://www.saferproducts.gov/RestWebServices/' # Location of the API
+query = 'Recall?format=json&ProductType=Exercise' # The query
+response = urllib.request.urlopen(url+query)
+response_bytes = response.read()
+data = json.loads(response_bytes) # Convert response to json
+
+# Conduct analysis:
+df = pd.DataFrame.from_dict(data)
+temp = df['RemedyOptions']
+clean_values = []
+for i in range(len(temp)):
+    if len(temp[i])>0:
+        values = []
+        for j in range(len(temp[i])):
+            values.append(temp[i][j]['Option'] )
+        clean_values.append(values)
+    else:
+        clean_values.append('')
+df['remedy'] = clean_values
+remedy_counts = df['remedy'].value_counts()
+# Create streamlit output:
+st.title('Remedy Statistics')
+# Create bar chart displaying data
+st.bar_chart(remedy_counts)

02_scraping/.ipynb_checkpoints/craigslist_cville_cars-checkpoint.csv

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+,title,price,year,link,style,age
+0,> nokia - comes w/ all accessories needed incl. extra battery <,0,,https://charlottesville.craigslist.org/mob/d/charlottesville-nokia-comes-all/7788090327.html,missing,
+1,samsung galaxy a11 - t-mobile,75,,https://charlottesville.craigslist.org/mob/d/charlottesville-samsung-galaxy-a11/7783598361.html,missing,
+2,iphone 15 pro max 512gb unlocked with sim slot applecare+ included!,1200,,https://charlottesville.craigslist.org/mob/d/charlottesville-iphone-15-pro-max-512gb/7777373194.html,missing,
+3,series 9 apple watch,308,,https://charlottesville.craigslist.org/mob/d/orange-series-apple-watch/7783251866.html,missing,
+4,samsung galaxy z fold 3 (silver) - gently used,600,,https://charlottesville.craigslist.org/mob/d/charlottesville-samsung-galaxy-fold/7782645934.html,missing,
+5,iphone 15 pro max 512gb unlocked with sim slot applecare+ included!,1200,,https://charlottesville.craigslist.org/mob/d/charlottesville-iphone-15-pro-max-512gb/7779847344.html,missing,
+6,esr halolock magnetic wireless car charger,10,,https://charlottesville.craigslist.org/mob/d/free-union-esr-halolock-magnetic/7779928622.html,missing,