Data Visualization of Collage Majors Earnings¶
In this project I'll be demonstrating my learning of plyplot and matplotlib.
In this project we will be exploring dataset on the job outcomes of students who graduated from collage between 2010 to 2012. Ideally we will be looking at what we can uncover from dataset using visualizations.
In [1]:
import pandas as pd
import matplotlib.pyplot as plt
% matplotlib inline
recent_grads = pd.read_csv('recent-grads.csv')
In [2]:
recent_grads.iloc[0]
Out[2]:
In [3]:
recent_grads.head()
Out[3]:
In [4]:
recent_grads.tail()
Out[4]:
In [5]:
recent_grads.describe()
Out[5]:
we can see that we need to do some clean up as Total, Men , Women, ShareWomen has different total rows than others
In [9]:
recent_grads = recent_grads.dropna()
In [8]:
recent_grads.describe()
Out[8]:
Let's Plot and Scatter with Pandas¶
In [10]:
recent_grads.plot(x='Sample_size', y='Median', kind='scatter')
Out[10]:
In [11]:
recent_grads.plot(x='Sample_size', y='Unemployment_rate', kind='scatter')
Out[11]:
In [12]:
recent_grads.plot(x='Full_time', y='Median', kind='scatter')
Out[12]:
In [13]:
recent_grads.plot(x='ShareWomen', y='Unemployment_rate', kind='scatter')
Out[13]:
In [14]:
recent_grads.plot(x='Men', y='Median', kind='scatter')
Out[14]:
In [15]:
recent_grads.plot(x='Women', y='Median', kind='scatter')
Out[15]:
In [19]:
recent_grads.plot(x='Major_code', y='Median', kind='scatter')
Out[19]:
Histogram with Pandas¶
In [20]:
cols = ["Sample_size", "Median", "Employed", "Full_time", "ShareWomen", "Unemployment_rate", "Men", "Women"]
fig = plt.figure(figsize=(5,12))
for r in range(1,5):
ax = fig.add_subplot(4,1,r)
ax = recent_grads[cols[r]].plot(kind='hist', rot=40)
In [21]:
cols = ["Sample_size", "Median", "Employed", "Full_time", "ShareWomen", "Unemployment_rate", "Men", "Women"]
fig = plt.figure(figsize=(5,12))
for r in range(4,8):
ax = fig.add_subplot(4,1,r-3)
ax = recent_grads[cols[r]].plot(kind='hist', rot=40)
Scatter Matrix Plot with Pandas¶
In [22]:
from pandas.plotting import scatter_matrix
scatter_matrix(recent_grads[['Sample_size', 'Median']], figsize=(6,6))
Out[22]:
In [23]:
scatter_matrix(recent_grads[['Sample_size', 'Median', 'Unemployment_rate']], figsize=(10,10))
Out[23]:
Bar Plots on Pandas¶
In [25]:
recent_grads[:10].plot.bar(x='Major', y='ShareWomen', legend=False)
recent_grads[163:].plot.bar(x='Major', y='ShareWomen', legend=False)
Out[25]:
