Measuring the Success of Instagram TV Product BASED ON METRICS

Week 1 Project

Process:

1. Data Collection and Preparation. - We can perform web scraping or record data as it is generated.
2. Exploratory Data Analysis. - We can use Data Statisytics to derive insights.
3. Data Visualization. - We can use graphs and charts to visualize the info.

DATA PROCESSING:

1. import libraries

       import pandas as pd
       import pandasql    # let's us use pandas and sql together.
       import matplotlib.pyplot as plt

2. Read File. - Read the file

   file = read_excel('data.xlsx')

3. Load and Explore the Data Set

   1. Get the info

      file.info()

   2. Print values

      file.head(25)   # prints first 25 values.
      file.tail()          # prints last rows.

   3. Histogram

          plt.figure(figsize=(10, 12))
          file[column].plot(kind='hist', bins=10, color='skyblue', edgecolor='black')

4. Show Histogram

   1. Set labels and title

          plt.xlabel(column)
          plt.ylabel('Frequency')
          plt.title('Instagram Success')
   2. Show the histogram

          plt.show()