Microsoft Stock Closing Price Analysis PDF
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Summary
This document contains Python code analyzing Microsoft stock closing prices. It uses libraries like pandas and matplotlib to create box plots and histograms. The data is loaded from a CSV file and visualized to understand price distributions.
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IMPORTING LIBRARIES **import numpy as np** **import pandas as pd** **import matplotlib.pyplot as plt** **LOADING DATASET** **df=pd.read\_csv(\"D:/tsa\_107/data/Microsoft\_Stock.csv\")** **HANDLING DATA** **print(df.describe())** **Open High Low Close Volume** **count 1511.000000 1511.000000...
IMPORTING LIBRARIES **import numpy as np** **import pandas as pd** **import matplotlib.pyplot as plt** **LOADING DATASET** **df=pd.read\_csv(\"D:/tsa\_107/data/Microsoft\_Stock.csv\")** **HANDLING DATA** **print(df.describe())** **Open High Low Close Volume** **count 1511.000000 1511.000000 1511.000000 1511.000000 1.511000e+03** **mean 107.385976 108.437472 106.294533 107.422091 3.019863e+07** **std 56.691333 57.382276 55.977155 56.702299 1.425266e+07** **min 40.340000 40.740000 39.720000 40.290000 1.016120e+05** **25% 57.860000 58.060000 57.420000 57.855000 2.136213e+07** **50% 93.990000 95.100000 92.920000 93.860000 2.662962e+07** **75% 139.440000 140.325000 137.825000 138.965000 3.431962e+07** **max 245.030000 246.130000 242.920000 244.990000 1.352271e+08** **DATA VISUALIZATION** **plt.figure(figsize=(10, 8))** **plt.boxplot(df\[\'Close\'\], vert=False)** **plt.title(\'Box Plot of Microsoft Stock Closing Price\')** **plt.xlabel(\'Closing Price (\$)\') plt.show()** **NULL VALUES** **Date 0** **Open 0** **High 0** **Low 0** **Close 0** **Volume 0** **dtype: int64** **PLOTTING DATA** **plt.figure(figsize=(8, 6))** **plt.hist(df\[\'Close\'\], bins=20, color=\'purple\', edgecolor=\'black\')** **plt.title(\'Distribution of Microsoft Stock Closing Prices\')** **plt.xlabel(\'Closing Price (\$)\')** **plt.ylabel(\'Frequency\')** **plt.grid(True)** **plt.show()** 
