Exploratory Data Visualization - Data Science And Machine Learning


Exploratory Data Visualization - Data Science And Machine Learning

Data Science does not only depend only on the data organization but also on the parts of data visualization. Data visualization is to make data better for understanding and learning purposes.


In exploratory data, we have used different types of techniques for visualizing data in data science and used to explore and showcase your data.


To do this use matplotlib and skit-learn libraries which is easily working with python ML and Data Science.


In this, we will use different showcase which is given below:


  • Line charts,

  • bar plots,

  • scatter plots,

  • histograms, and

  • box plots, etc.


These all of the above are used to better understand your data and help others understand your data as well.


Line charts

import matplotlib.pyplot as plt

import numpy as np

import pandas as pd


# Data

Data = read_csv(“data.csv”)

df=pd.DataFrame(“data”)

# line plot

plt.plot( 'columnname1', ‘columnname2', data=df, marker='o', markerfacecolor='blue', markersize=12, color='skyblue', linewidth=4)

plt.legend()



Bar plots



import matplotlib.pyplot as plt


plt.bar([2, 4, 6, 8],[3, 5, 7, 9], label="First bar graph")

plt.bar([4, 8, 12, 16],[3, 6, 9, 12], label="Second Bar graph", color='b')


plt.legend()


plt.xlabel('bar x lebel')

plt.ylabel('bar y label')


plt.title('Demo to create bar graph')


plt.show()


Histograms


import matplotlib.pyplot as plt


ages = [20, 24, 26, 4, 8, 25, 21, 22, 28, 26, 40, 41, 51, 50, 56, 60, 59, 60, ]

bins = [0,10,20,30,40,50,60]


plt.hist(ages, bins, histtype='bar', rwidth=0.8)


plt.xlabel('x')

plt.ylabel('y')


plt.title('Histogram')

plt.legend()


plt.show()


It plots data in the intervals (like 10-15, 15-20, 20-25) and ages as frequency



Box Plots


#Data

data1 = [20,25, 15, 22, 19]

data2 = [15,4, 10, 14, 8]


#plot box plot


box_plot_data=[value1,value2]

plt.boxplot(box_plot_data)


plt.show()


There are other visualization techniques like heat graph, etc., also used to show data in visual form. You can itself try it by taking data and create all graph for practice, these are basic graph for beginners if you want to create advanced-level visual effects then contact at Codersarts official website by clicking here.


We have also provided assignment help, Coding help, project help services, and hire developers for your project.


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