According to the oxford dictionary: 'data is facts and statistics collected together for reference or analysis'.
Data analysis is the art of extracting, exploring, transforming, and modeling data to glean meaningful insights.
Data visualization, however, is presenting this clean and transformed data in graphically appealing forms that provide an easy way to see, interpret, and understand trends, outliers, and communicate meaningful patterns in data. Data visualization is used to identify key relationships in plots and charts that are more helpful to stakeholders for better decision-making.
Why is data visualization important?
The human mind is wired to think and process things in pictures. Therefore, using charts or graphs to visualize large amounts of complex data is easier than looking through tables of reports.
My motivation to play my part in the global economy as a data analyst stems from a desire to organize critical aspects of a business by providing the clarity through specific key performance indicators (KPI's) to scale fast and easily using data.
I believe that data is the eyes we see through and the instrument that shapes our decision. Data maximizes time and effort.
This dashboard visualizes historical crypto prices that update with current crypto prices from coinbase pro when refreshed. The data used was gotten from coinbase pro using crypto watch API.
This is a visualization of a company’s balance sheet with Power BI. Calculated columns are created in DAX, visuals are built using the matrix, tree-map, waterfall, etc. The balance sheet is formatted to be more aesthetically pleasing and insightful.
This is a survey on data professionals of about 670 respondents to determine data roles that are most difficult to break into, the most used programming language and tool by data roles, salaries, job satisfaction etc.