Name : Loghitha K Y
Register Number : 913121205048
Ex.No: 02 Statistical analysis with exploratory graphs for the given data using
Date: Python/R
Aim:
To develop code to perform statistical analysis with exploratory graphs for the given data
using python / R.
Algorithm:
1. Import the dataset.
2. Use different statistical analysis by interpreting it with graphs.
3. Use Python/R to analyze it.
4. Perform univariate, bivariate and multivariate analysis for the same.
Univariate analysis:
Bar Plots:
Use bar plots to visualize the frequency distribution of a single categorical variable.
Pie Charts:
Pie charts are useful for visualizing the proportions of different categories within a
singlevariable.
Histogram:
A histogram is a graph that shows the frequency of numerical data using rectangles. The
height of a rectangle (the vertical axis) represents the distribution frequency of a variable
(the amount, or how often that variable appears)
Bivariate analysis:
Stacked Bar Plots:
Use stacked bar plots to compare the distribution of a categorical variable
across twocategories.
Multivariate analysis:
Pair Plots:
Pair plots can be used to create scatterplots between multiple categorical variables.
Program:
Importing the dataset:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
21PCS02 – Exploratory Data Analysis Laboratory
Name : Loghitha K Y
Register Number : 913121205048
#Load the data
df = pd.read_csv('/content/cleaned_star_data.csv')
#View the data
df.head()
1. Univariate Analysis:
(i) Pie chart:
plt.figure(figsize=(10,10))
plt.subplot(2,2,1)
plt.pie(df["Star type"].value_counts(), autopct='%.2f')
plt.title("Star type")
(ii) Histogram:
plt.hist(df["Star color"])
plt.show()
21PCS02 – Exploratory Data Analysis Laboratory
Name : Loghitha K Y
Register Number : 913121205048
(iii) Box plot:
sns.boxplot(df["Star type"])
plt.show()
(iv) Scatter plot:
plt.scatter(df.index,df['Star color'])
plt.show()
21PCS02 – Exploratory Data Analysis Laboratory
Name : Loghitha K Y
Register Number : 913121205048
(v) Bar chart:
plt.bar(df.index,df['Absolute magnitude(Mv)'])
plt.show()
Bivariate Analysis:
(i) Pie Chart
plt.figure(figsize=(10,10))
# first plot
plt.subplot(2,2,1)
plt.pie(df["Star color"].value_counts(), autopct='%.2f')
plt.title("Star color")
# second plot
plt.subplot(2,2,2)
plt.pie(df["Spectral Class"].value_counts(), autopct='%.2f')
plt.title("Spectral Class")
21PCS02 – Exploratory Data Analysis Laboratory
Name : Loghitha K Y
Register Number : 913121205048
(ii) Histogram:
plt.hist(df["Star type"])
plt.show()
plt.hist(df["Temperature (K)"])
plt.show()
(iii) Box Plot:
sns.boxplot(df["Temperature (K)"])
plt.show()
sns.boxplot(df["Spectral Class"])
plt.show()
21PCS02 – Exploratory Data Analysis Laboratory
Name : Loghitha K Y
Register Number : 913121205048
(iv) Scatter Plot:
plt.scatter(df.index,df['Luminosity(L/Lo)'])
plt.show()
plt.scatter(df.index,df['Radius(R/Ro)'])
plt.show()
21PCS02 – Exploratory Data Analysis Laboratory
Name : Loghitha K Y
Register Number : 913121205048
(v) Bar plot:
sns.barplot(x = 'Star type',y = 'Star color',data = df)
plt.show()
Result:
In this Experiment, the statistical analysis using exploratory graphs for the given data has
been executed and the output was verified successfully.
21PCS02 – Exploratory Data Analysis Laboratory
