“Pictures speak louder than words”. And this ancient saying couldn’t be truer, the reason is simple enough, the human brain is wired for pattern recognition. Research suggests that we produce 2.5 quintillion of data each day. Mind boggling!! Right, however the real struggle starts when it comes to interpreting the relationship between those data sets, or understanding complex statistical notions, most of us don’t love it. Isn’t it? That is why visualization and its associated tools have gained so much traction lately.
What is Data Visualization?
It is the representation of data in a graphical or pictorial format. Data visualization allows decision-makers to see complex analytics in a visual format, allowing users to more easily understand the state of the business and identify patterns to bolster successful strategies.
Here are few types of data visualizations format
Power BI Donut Chart is like Pie Chart, which is useful to visualize the higher-level data. Information that is organized in sections or columns just on a worksheet can be plotted in a Donut Chart. It is more efficient than the pie chart as the center area of the chart can be utilized to display information inside it.
Scatter charts could be used to plot two gatherings of numbers as one arrangement of XY. It helps to demonstrate connections between 2 numerical qualities. This type of visualization is also known as scatter gram and works best when user is analysing multiple data points.
These charts are visual filters that helps to sort the data by clicking on the type of data. Slice Chart (Pie Chart) Excel Add-in visualizes a data composition of an entity. It has more features unlike pie chart and can- flyout, Adjustable pie display ratio, hidable pie slice.
One of the most preferable in data visuals. It is a column type chart that shows aggregated data over time. It helps in displaying the individual components of a measure and how they continually contribute to the overall number. These types of visuals are used to visualize profit and sales or, analysis of the inventory.
This allows users to showcase series of data on certain categories. With this representation the user can easily determine briefly, trends between different series.
A bubble graph is used to visualize data set with three dimensions. One is X-axis coordinate, second is Y-axis coordinate and the final is the Bubble size data set. shows the relationship between different data sets.
Bar & column charts
These types of visualizations are used for looking at a specific value across different categories. They’re a simple, time-saving way to show a comparison among different sets of data. It includes data labels along the horizontal (X) axis with measured metrics or values presented on the vertical (Y) axis.
This type of visualization can be easily related with the sales funnel process that starts with the leads and ends with a purchase fulfilment.
It can be used to visualize data which quickly discovers which category of data has the highest rank. These charts are effective in showing rank change, with the highest range.
Tree maps charts
It displays a hierarchical data as a set of enclosed rectangles. Where each level of the hierarchy is represented by a coloured rectangle containing smaller rectangles. These maps easily fit to display the large amount of hierarchical data, to show proportions using size and colour coding.
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