Hey all,
I finished a capstone project in Data Science. This time I’m sharing it with the Community.
I’m grateful for any comments.
Thanks!
Zofia
Netflix Stock Profile in 2017.pdf (102.9 KB)
Netflix Data Capstone Project
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im adding mine onto your thread. I think that these projects need dedicated threads.
how did you get the grids to not go over the plots/bars/etc? every time I used grid() it covered them?
Netflix Stock Profile 2017.pdf (253.0 KB)
I didn’t even noticed it, to be honest. I used sns.set_style('whitegrid')
for the violin chart, but I’m not sure it carries for the next one, and it’s seaborn and pyplot.
Anyways, I’m putting all the code I used for charts.
`sns.set_style(‘whitegrid’)
sns.set_palette(‘muted’)
ax = sns.violinplot(data=netflix_stocks_quarterly, x=‘Quarter’, y=‘Price’)
ax.set_title(‘Distribution of 2017 Netflix Stock Prices by Quarter’)
ax.set_xlabel(‘Business Quarters in 2017’)
ax.set_ylabel(‘Closing Stock Price’)
plt.show()`
`x_positions = [1, 2, 3, 4]
chart_labels = [“1Q2017”,“2Q2017”,“3Q2017”,“4Q2017”]
earnings_actual =[.4, .15,.29,.41]
earnings_estimate = [.37,.15,.32,.41 ]
plt.scatter(x=x_positions, y=earnings_actual, color=‘red’, alpha=0.5)
plt.scatter(x=x_positions, y=earnings_estimate, color=‘blue’, alpha=0.5)
plt.legend([‘Actual’, ‘Estimate’])
plt.xticks(x_positions, chart_labels)
plt.title(‘Earnings Per Share in Cents’)`
`# The metrics below are in billions of dollars
revenue_by_quarter = [2.79, 2.98, 3.29, 3.7]
earnings_by_quarter = [.0656, .12959, .18552, .29012]
#why quarters are like that? and not only 2017
quarter_labels = [“1Q2017”,“2Q2017”,“3Q2017”, “4Q2017”]
Revenue
n = 1 # This is our first dataset (out of 2)
t = 2 # Number of dataset
d = 4 # Number of sets of bars
w = 0.8 # Width of each bar
bars1_x = [telement + wn for element
in range(d)]
Earnings
n = 2 # This is our second dataset (out of 2)
t = 2 # Number of dataset
d = 4 # Number of sets of bars
w = 0.8 # Width of each bar
bars2_x = [telement + wn for element
in range(d)]
#fig = plt.figure()
plt.title(‘Revenue and Earnings by Quarter’)
labels = [“Revenue”, “Earnings”]
middle_x = [ (a + b) / 2.0 for a, b in zip(bars1_x, bars2_x)]
plt.xticks(middle_x, quarter_labels)
plt.ylabel(‘In Bilions USD’)
plt.bar(bars1_x, revenue_by_quarter)
plt.bar(bars2_x, earnings_by_quarter)
plt.legend([“Revenue”, “Earnings”], loc=0)
plt.show()`
`# Left plot Netflix
ax1 = plt.subplot(1,2,1)
plt.title(‘Netflix’)
plt.ylabel(‘Stock Price’)
ax1.set_xticks(range(12))
ax1.set_xticklabels([‘01’, ‘02’, ‘03’, ‘04’, ‘05’, ‘06’, ‘07’, ‘08’, ‘09’, ‘10’, ‘11’, ‘12’])
plt.xlabel(‘Date’)
plt.subplots_adjust(wspace=.5)
plt.plot(netflix_stocks[‘Date’], netflix_stocks[‘Price’])
Right plot Dow Jones
ax2 = plt.subplot(1,2,2)
plt.ylabel(‘Stock Price’)
plt.xlabel(‘Date’)
plt.title(‘Dow Jones’)
ax2.set_xticks(range(12))
ax2.set_xticklabels([‘01’, ‘02’, ‘03’, ‘04’, ‘05’, ‘06’, ‘07’, ‘08’, ‘09’, ‘10’, ‘11’, ‘12’])
plt.subplots_adjust(wspace=.5)
plt.plot(dowjones_stocks[‘Date’], dowjones_stocks[‘Price’])
plt.show()`
I changed the quarters names in the bar chart, it had 2018 in it, I don’t know if I should have.
In general, I like your slides! It was the 1st time I used powerpoint (I usually use beamer from latex), and I see it looks better with clean frames.
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