Data Visualisation Mind-Map
<p>In the <strong>‘Marks.csv’</strong> file, you can find the scores obtained by 200 students in 4 subjects of a standardised test. The different columns — <code>Score A</code>, <code>Score B</code>, <code>Score C</code> and <code>Score D</code> indicate the score obtained by a particular student in the respective subjects A, B, C and D.</p>
<p>Load the dataset to your notebook and answer the following questions</p>
<blockquote>
<p><code><strong>#Load the necessary Libraries</strong><br />
import pandas as pd<br />
import numpy as np<br />
import seaborn as sns<br />
import matplotlib.pyplot as plt</code></p>
<p><code><strong>#Load the dataset</strong><br />
df1 = pd.read_csv("Marks.csv")</code></p>
<p><code>df1.head()</code></p>
</blockquote>
<p><img alt="png" src="https://miro.medium.com/v2/1*seTL7PvQjDuky4SUmyj-qQ.png" style="width:700px" /></p>
<blockquote>
<p><code><strong>df1["Score A"].plot.hist(bins=6)</strong></code></p>
</blockquote>
<p><img alt="png" src="https://miro.medium.com/v2/1*Rq00Xh6k2YwrxeCNVu3TLA.png" style="width:700px" /></p>
<p><strong>Q1)</strong> Load the dataset and plot a histogram for the <code>Score A</code> column by keeping the <code>number of bins to 6</code>. Which bin range among the following has the highest frequency?</p>
<p>(<code>Note</code> - <em>The bin ranges mentioned in the options are approximate values for the bin ranges that you'll actually get when you plot the histogram</em>)</p>
<p><a href="https://medium.com/@nitin.data1997/data-visualization-mind-map-7633828321b0"><strong>Click Here</strong></a></p>