Spaces:
Runtime error
Runtime error
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Import necessary libraries
|
2 |
+
import pandas as pd
|
3 |
+
import matplotlib.pyplot as plt
|
4 |
+
|
5 |
+
# Create a dictionary of states with their region, population, and area
|
6 |
+
states = {
|
7 |
+
'Alabama': {'region': 'South', 'population': 4903185, 'area': 135767},
|
8 |
+
'Alaska': {'region': 'West', 'population': 731545, 'area': 1723337},
|
9 |
+
'Arizona': {'region': 'West', 'population': 7278717, 'area': 295234},
|
10 |
+
'Arkansas': {'region': 'South', 'population': 3017804, 'area': 137732},
|
11 |
+
'California': {'region': 'West', 'population': 39538223, 'area': 423967},
|
12 |
+
'Colorado': {'region': 'West', 'population': 5773714, 'area': 269601},
|
13 |
+
'Connecticut': {'region': 'Northeast', 'population': 3605944, 'area': 14357},
|
14 |
+
'Delaware': {'region': 'South', 'population': 989948, 'area': 6446},
|
15 |
+
'Florida': {'region': 'South', 'population': 21538187, 'area': 170312},
|
16 |
+
'Georgia': {'region': 'South', 'population': 10711908, 'area': 153910},
|
17 |
+
'Hawaii': {'region': 'West', 'population': 1415872, 'area': 28314},
|
18 |
+
'Idaho': {'region': 'West', 'population': 1826156, 'area': 216443},
|
19 |
+
'Illinois': {'region': 'Midwest', 'population': 12671821, 'area': 149995},
|
20 |
+
'Indiana': {'region': 'Midwest', 'population': 6732219, 'area': 94326},
|
21 |
+
'Iowa': {'region': 'Midwest', 'population': 3155070, 'area': 145746},
|
22 |
+
'Kansas': {'region': 'Midwest', 'population': 2913314, 'area': 213099},
|
23 |
+
'Kentucky': {'region': 'South', 'population': 4467673, 'area': 104656},
|
24 |
+
'Louisiana': {'region': 'South', 'population': 4648794, 'area': 135659},
|
25 |
+
'Maine': {'region': 'Northeast', 'population': 1362359, 'area': 91634},
|
26 |
+
'Maryland': {'region': 'South', 'population': 6177224, 'area': 32131},
|
27 |
+
'Massachusetts': {'region': 'Northeast', 'population': 7029917, 'area': 27336},
|
28 |
+
'Michigan': {'region': 'Midwest', 'population': 10077331, 'area': 250487},
|
29 |
+
'Minnesota': {'region': 'Midwest', 'population': 5706494, 'area': 225163},
|
30 |
+
'Mississippi': {'region': 'South', 'population': 2989260, 'area': 125438},
|
31 |
+
'Missouri': {'region': 'Midwest', 'population': 6169270, 'area': 180540},
|
32 |
+
'Montana': {'region': 'West', 'population': 1084225, 'area': 380831},
|
33 |
+
'Nebraska': {'region': 'Midwest', 'population': 1952570, 'area': 200330},
|
34 |
+
'Nevada': {'region': 'West', 'population': 3139658, 'area': 286380},
|
35 |
+
'New Hampshire': {'region': 'Northeast', 'population': 1371246, 'area': 24214},
|
36 |
+
'New Jersey': {'region': 'Northeast', 'population': 9288994, 'area': 22591},
|
37 |
+
'New Mexico': {'region': 'West', 'population': 2117522, 'area': 314917},
|
38 |
+
'New York': {'region': 'Northeast', 'population': 20215751, 'area': 141297},
|
39 |
+
'North Carolina': {'region': 'South', 'population': 10488084, 'area': 139391},
|
40 |
+
'North Dakota': {'region': 'Midwest', 'population': 762062, 'area': 183108},
|
41 |
+
'Ohio': {'region': 'Midwest', 'population': 11689100, 'area': 116098},
|
42 |
+
'Oklahoma': {'region': 'South', 'population': 3953823, 'area': 181037},
|
43 |
+
'Oregon': {'region': 'West', 'population': 4217737, 'area': 254799},
|
44 |
+
'Pennsylvania': {'region': 'Northeast', 'population': 12801989, 'area': 119280},
|
45 |
+
'Rhode Island': {'region': 'Northeast', 'population': 1097379, 'area': 4001},
|
46 |
+
'South Carolina': {'region': 'South', 'population': 5148714, 'area': 82933},
|
47 |
+
'South Dakota': {'region': 'Midwest', 'population': 884659, 'area': 199729},
|
48 |
+
'Tennessee': {'region': 'South', 'population': 6833174, 'area': 109153},
|
49 |
+
'Texas': {'region': 'South', 'population': 29145505, 'area': 695662},
|
50 |
+
'Utah': {'region': 'West', 'population': 3271616, 'area': 219882},
|
51 |
+
'Vermont': {'region': 'Northeast', 'population': 623989, 'area': 24906},
|
52 |
+
'Virginia': {'region': 'South', 'population': 8631393, 'area': 110787},
|
53 |
+
'Washington': {'region': 'West', 'population': 7693612, 'area': 184661},
|
54 |
+
'West Virginia': {'region': 'South', 'population': 1792147, 'area': 62756},
|
55 |
+
'Wisconsin': {'region': 'Midwest', 'population': 5851754, 'area': 169635},
|
56 |
+
'Wyoming': {'region': 'West', 'population': 578759, 'area': 253335}
|
57 |
+
}
|
58 |
+
|
59 |
+
# Create a function to calculate population density
|
60 |
+
def calculate_density(population, area):
|
61 |
+
return population / area
|
62 |
+
|
63 |
+
# Create a function to plot the graph
|
64 |
+
def plot_graph(df, region):
|
65 |
+
plt.figure(figsize=(10, 5))
|
66 |
+
plt.bar(df.index, df['Population Density'])
|
67 |
+
plt.title(f'Population Density of States in {region} Region')
|
68 |
+
plt.xlabel('State')
|
69 |
+
plt.ylabel('Population Density')
|
70 |
+
plt.xticks(rotation=90)
|
71 |
+
plt.show()
|
72 |
+
|
73 |
+
# Group states by region and calculate the total population and area for each region
|
74 |
+
regions = {}
|
75 |
+
for state, data in states.items():
|
76 |
+
region = data['region']
|
77 |
+
population = data['population']
|
78 |
+
area = data['area']
|
79 |
+
if region not in regions:
|
80 |
+
regions[region] = {'population': population, 'area': area, 'states': []}
|
81 |
+
else:
|
82 |
+
regions[region]['population'] += population
|
83 |
+
regions[region]['area'] += area
|
84 |
+
regions[region]['states'].append(state)
|
85 |
+
|
86 |
+
# Calculate the population density for each state in each region
|
87 |
+
for region, data in regions.items():
|
88 |
+
population = data['population']
|
89 |
+
area = data['area']
|
90 |
+
states = data['states']
|
91 |
+
density = []
|
92 |
+
for state in states:
|
93 |
+
state_population = states[state]['population']
|
94 |
+
state_area = states[state]['area']
|
95 |
+
state_density = calculate_density(state_population, state_area)
|
96 |
+
density.append(state_density)
|
97 |
+
df = pd.DataFrame({'State': states, 'Population Density': density})
|
98 |
+
plot_graph(df, region)
|