roymartinezblanco

tmp = dat_clean
tmp =  tmp[tmp['host'] == domain]
tmp = tmp.groupby(['cdn-cache','ext']).size().reset_index(name='Count') 
tmp = tmp.reset_index().pivot(columns='ext', index='cdn-cache', values='Count')
tmp.plot.bar();
plt.title('Cache Status by ext')
plt.xlabel('Domain/Ext')
plt.ylabel('Count')
plt.show()
del tmp 

roymartinezblanco

tmp = dat_clean 
tmp =  tmp[tmp['host'] == domain]
tmp = tmp.groupby(['cdn-cache']).size().reset_index(name='Count')
plt.pie(tmp['Count'],shadow=False,autopct='%1.1f%%')
plt.legend( tmp['cdn-cache'], loc="best")
plt.title('Cache Status')
plt.axis('equal')
plt.tight_layout()
plt.show()
del tmp  

roymartinezblanco

tmp = dat_clean
tmp = tmp[tmp['host-type'] == 'First Party']
tmp = tmp[tmp['ext'].isin(['css','js'])]
tmp = tmp[["ext", "content-length","content-length-origin"]]
tmp = tmp.groupby('ext')["content-length","content-length-origin"].mean().reset_index()
tmp.plot(x="ext", kind="bar",label=['RO','RAW'])
plt.title('First Party Resource Optimizer content-length vs Origin')
plt.xlabel('Extensions')
plt.ylabel('Bytes')
plt.legend(["RO", "Origin"]);

roymartinezblanco

tmp = dat_clean
tmp =  tmp[tmp['host'] == domain]
tmp = tmp.groupby('ext')[ "send", "ttfb", "receive"].mean().reset_index()
tmp[["ext", "send", "ttfb", "receive"]].plot(x="ext", kind="bar", stacked=True,label='Series')
plt.title(domain+': Timing by Ext')
plt.xlabel('Extensions')
plt.ylabel('Milliseconds')
plt.show()
del tmp  

roymartinezblanco

tmp = dat_clean
tmp =  tmp[tmp['host-type'] == 'First Party']
tmp = tmp.groupby(['host','ext']).size().reset_index(name='Count') 
tmp = tmp.reset_index().pivot(columns='ext', index='host', values='Count')
tmp.plot.bar();
plt.title('Extensions by Domain')
plt.xlabel('Domain/Ext')
plt.ylabel('Count')
plt.show()
del tmp 

roymartinezblanco

tmp = dat_clean
tmp = tmp.groupby(['host','status']).size().reset_index(name='Count') 
tmp = tmp.reset_index().pivot(columns='status', index='host', values='Count')
tmp.plot.bar();
plt.title('HTTP Status by Domain')
plt.xlabel('Count')
plt.ylabel('Domain')
plt.show()
del tmp

roymartinezblanco

tmp = dat_clean 
tmp = tmp.groupby(['status']).size().reset_index(name='Count')
tmp = tmp.sort_values(by=['Count'],ascending=False)
plt.pie(tmp['Count'],labels=tmp['status'],shadow=False,autopct='%1.1f%%')
plt.title('HTTP Response Codes')
plt.axis('equal')
plt.tight_layout()
plt.show()

roymartinezblanco

tmp = dat_clean
tmp =  tmp[tmp['host-type'] == 'Third Party']
tmp = tmp.groupby('host')[ "content-length"].mean().reset_index()
tmp[["host", "content-length"]].plot(x="host", kind="bar", stacked=True,label='Series')
plt.title('Third Party by Content Size')
plt.xlabel('Domains')
plt.ylabel('Content Length')
plt.show()
del tmp

roymartinezblanco

tmp = dat_clean
tmp =  tmp[tmp['host-type'] == 'Third Party']
tmp = tmp.groupby('host').size().reset_index(name='Count').plot(x="host", kind="bar", stacked=True,label='Series')
plt.title('Third Party by Requests')
plt.xlabel('Domain')
plt.ylabel('Requests')
plt.show()
del tmp

roymartinezblanco

tmp = dat_clean
tmp = tmp[["host","method"]]
tmp = tmp.groupby(['host','method']).size().reset_index(name='Count') 
tmp = tmp.reset_index().pivot(columns='method', index='host', values='Count')
tmp.plot.bar();
plt.title('Method by Domain')
plt.xlabel('Domains')
plt.ylabel('Count')
plt.show()
del tmp