insta_reach_analysis_power_BI

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Instagram Reach Analysis

This Notebook deals with prediction of instagram Reaches.

Objectives

• Enhance Posting Strategy.
• Refine Content Types.
• Understand Audience Demographics.

ABOUT THE DATA

• Data Overview: This data file is a comma-separated value(CSV) file format with 2290 rows and 7 columns. It contains 5 columns which are numerical in datatype and one column in Date format. Clearly, the data shows the value of the variables Likes, Homes, Comments, Shears,against the dates in the date column.
• Data Sourse: Link
• Data type available: .csv

# Import required libraries
import pandas as pd                                          #Load data & perform basic operations
import numpy as np                                           #Numpy Arrays
import matplotlib.pyplot as plt                              #Matplotlib is a low level graph plotting library in python that serves as a visualization utility.
import seaborn as sns                                        #Useful for finding performance of model