Sample data Set
Data analysis involves a combination
of statistical knowledge, making it a versatile and interesting
career, It is dynamic and as a data analyst, you have to know and have good
thinking and problem-solving skills and use the appropriate technology when
applicable.
I want to enhance my data analysis skills
to be better in decision-making and opportunities in career growth and to also
give back in the form of service.
There are 25 columns in the data set:
What was observed: The ADDRESSLINE2 column has many missing values, STATE has missing values, POSTALCODE
has a few missing values, and TERRITORY also has missing values.
The
dataset contains both numeric and text characters.
The dataset report comprises 2,823
entries and 25 columns. The dataset report has various aspects such as sales orders, order numbers, product details, customer
information, sales figures, and status. All these can be related.
Data Types:
The dataset contains
different data types such as integers, floats, and objects (strings).
Data Quality:
The dataset appears
to be structured, but the presence of missing values could affect the analysis
generally.
Some
recommendations
Missing Values:
Adding or inputting
the missing values in some of the columns will make the analysis better and understandable.
Trends:
High Sales Months:
in May, July, and October have high sales figures.
Production columns:
Such as Classic Cars and Motorcycles appear frequently in high sales orders,
indicating it is popular in the categories.
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