Data Analysis

Photo by Luke Chesser on Unsplash

K-mart sales strategy for the year 2020 based on the insights from the sales data in 2019.

Introduction

Kmart is a leading online retailer in the US and as part of their annual sales review meeting, they need to decide on their sales strategy for the year 2020 based on the insights from the sales data in 2019.

Data is related to sales for each month of 2019 and the task is to generate key insights which will help the sales team of Kmart to take some key business decisions towards Fine-tuning their sales strategy.

Data Understanding

1.Data Belongs to Kmart -a leading…


Data Analysis

Source — https://www.wvgazettemail.com/

K-mart sales strategy for the year 2020 based on the insights from the sales data in 2019.

Introduction

Kmart is a leading online retailer in the US and as part of their annual sales review meeting, they need to decide on their sales strategy for the year 2020 based on the insights from the sales data in 2019.

Data is related to sales for each month of 2019 and the task is to generate key insights which will help the sales team of Kmart to take some key business decisions towards Fine-tuning their sales strategy.

Data Understanding

1.Data Belongs to Kmart -a leading…


Source: By Author

What Data Science is?

Data Science is a combination of various tools, algorithms, and machine learning principles to extract knowledge and insights from structured and unstructured data.

What is the food Industry?

The term food industry covers a series of activities like processing, conversion, preparation, preservation, and packaging of foodstuffs.

The food industry is the most dynamic today. Products need to be continuously evolving. The food industry involves producers, distributors, restaurants, etc. Food manufacturing companies are actively getting deeper into data science to improve inventory management, Meeting quality standards, to meet customer demands.

Role of Data Science in the Food…


Data Analysis

EDA through Pandas Visual Analysis

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EDA is a way to understand what the data is all about. It is very important as it helps us to understand the outliers, relationship of features within the data with the help of graphs and plots.

EDA is a time taking process as we need to make visualizations between different features using libraries like Matplot, seaborn, etc.

There is a way to automate this process by a single line of code using the library Pandas Visual Analysis.

About Pandas Visual Analysis

  1. It is an open-source python library used for Exploratory Data Analysis.
  2. It creates an interactive user interface to visualize datasets in Jupyter…


Neural Network for Data processing and recognizing Patterns in data.

Source: https://www.aitrends.com/wp-content/uploads/2018/05/5-11DeepLearning-2.jpg

Neural Network Uses the concept of Artificial Neurons that works in a similar manner to neurons in our brain. Artificial Neural Network consists of a large number of interconnected neurons that are used to process information.

How does an Artificial Neural Network work?


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Automated Exploratory Data Analysis using the Pandas Profiling Python Library

Exploratory Data Analysis is an approach for exploring/analyzing datasets to generate insights in visual form. EDA is used to understand the main characteristics of the dataset.

EDA helps us to know missing values, count, mean, median, quantiles, distribution of data, correlation of variables with each other, data type, the shape of data, etc. For EDA we need to write so many lines of code which takes a lot of time.

To make EDA easier and faster, we can write One-Line Magical Code for EDA.

EDA can be automated using a python library called Pandas Profiling. It is a great tool…


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Joining — Combining the data between the same data source.

Example — combining 2 more sheets within the same excel file.

There are different types of Joins.

1.Inner Join — When we join 2 tables using inner join, the result is a table that contains values that match in both tables.

Example: Here are Two tables Table A and B

Juhi Sharma

Passionate about solving business problems by data-driven approaches| Data Visualization | Machine Learning|Deep Learning

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