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.

https://hng.tech/internship, https://hng.tech/premium 

As the world is always changing technology is one thing that always evolves, Mobile development is one of the changing events with many opportunities. 

I am a technology enthusiast and a semi-coder, love to play with codes and troubleshoot sometimes I write about some mobile development platforms and architecture, as well as the pros and cons, I am presently on the HNG Internship.

Android,  iOS, Cross-Platform (React Native, Flutter),

Android 

Pros: Largest global market share. An open-source platform allows extensive customization. Robust development tools like Android Studio and Kotlin. 

Cons: Device and OS fragmentation complicates development. Performance varies across different devices. An open nature can lead to security vulnerabilities.

IOS 

Pros: Native performance is excellent. Consistent and high-quality user experience. A strong ecosystem with tools like Xcode and Swift. 

Cons: Higher entry barrier due to Apple device costs. Stringent app review process can delay releases. Learning Swift and Objective-C can be challenging for beginners.

Cross-Platform (React Native, Flutter) 

Pros: Code reusability with a single codebase. Cost-effective, reducing development time and costs. Strong community support and extensive libraries. 

Cons: Performance may not match native apps in some cases. Limited access to platform-specific features. Debugging and optimization complexity. I hope I have been able to give you some ideas if you are venturing into any of the technologies above. 

References: https://hng.tech/internship, https://hng.tech/hire, or https://hng.tech/premium

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