text_plain_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

tests = '../input/students-performance-in-exams/StudentsPerformance.csv'
test1 = pd.read_csv(tests, sep=',')
testscores = pd.DataFrame(test1)

testscores.info

plt.xticks(rotation=90)

plt.xticks(rotation=90)

plt.xticks(rotation=90)

plt.figure(figsize=(10, 10))
plt.xticks(rotation=90)
plt.rcParams.update({'font.size': 14})
plt.title('Reading Scores for race/ethnicity')
sns.barplot(testscores['race/ethnicity'], testscores['reading score'], data=testscores)