Top Data Visualization Services in Singapore

Data visualization: Definition, uses, functions.

Data visualization refers to the translation of data and statistics into certain graphs, charts, and alternative visual formats.

This conveys the relations found in captured data with a visual representation.

These functions are highly important as these illustrate patterns, trends for viewers to grasp data with greater ease, speed.

To leverage the exploding growth of big data at present, many could benefit by gaining abilities to analyze large volumes of data.

Machine learning facilitates the ease of performing data analyses, for instance predictive analysis, that could then compute very comprehensive visualizations for interpretation.

Still, data visualization software is not just instrumental for data scientists or data analysts, it is, in fact, instrumental for performing, conducting data visualization functions in most occupations.

Applying to occupations within Finance, Marketing, Tech, Design, or more options, one must visualize data. Such broad requirements highlight the overall imperative for Data Visualization.

What does data visualization get used for?

One requires data visualization as some visual representation of statistics renders general identification of recurring patterns or trends more convenient, easy to detect as compared to manually scouring huge chunks of data over from spreadsheets.

These are designed to imitate, simulate the general processes of human brain functions, tasks, mechanisms.

As general goals for data analysis are for computing data-analytics, data climbs in value upon being turned into a data visualization.

In case the data analyst may derive readings from data without visualization, more broad applications of data analysis become more difficult to communicate without employing the use of data visualization.

Charts or graphs render communicating data analysis results much less tedious in the event one can identify general patterns without using these.

Data visualization: Uses, functions, performance.

Data visualization contains multiple functions.

Distinct forms of data visualization may get deployed with distinct methods.

Further detail is elaborated on varied forms in further paragraphs, for present purposes, mentioned further are several of recurring, regular methods in which data visualization gets deployed.

Modifications with time

These are probably very foundational, necessary, or regular functions of data visualization, still this fails to imply these have no value.

The cause for this recurring regularly is mainly due to much data accounting for the factoring, counting in of time spent.

Thus, an initial grounding in most of processed data analyses remains to test, predict the manner in which data trends in the future.

Recording frequency

Frequency also functions as the foundational utilization of data visualization as this may apply to data which takes place gradually over extended intervals.

If time is a factor being observed, it seems natural that one records the occurrence of related, connected events taking place over progressive stages.

Recording connections (correlations)

Recognizing correlations are some very pertinent, practical uses of data visualization.

So, it remains difficult to detect the links between 2 factors with no visualization, but it remains very useful to attain records of connections found in data.

These remain a relevant example of the overall benefits of data visualization found in data analysis.

Inspecting single networks

An instance of examining some network using data visualization may be found in Market Research.

Marketing professionals must determine what audiences to rally using conveyed communications, hence these examine full market data for recording audience clusters, links spanning between clusters, influencers over clusters, or outliers.

Time tabling

For drafting a final schedule, timing plan for some advanced projects, certain factors may seem hard to determine.

The Gantt chart resolves this complication through distinctly delineating every task used within projects or predicting the time span projected to be taken to complete.

Detecting value or risk

Determining complex metrics inclusive of value or risk demands multiple distinct factors to consider, count in, making this impossible to review precisely with just basic spreadsheets.

Data visualization could remain as simple as color-coding a formula for revealing what openings have potential, or those having risks.

Forms of data visualization charts

Line chart

The line chart reveals alterations over extended periods.

The x-axis is often an interval, whereas the y-axis is numeric.

Thus, such may record a company’s sales over an annum recorded by distinct months and the number of units a factory produced daily over the previous week.

Area chart

The area chart refers to adaptation of the line chart over which portions within the line are filled in for highlighting the implications.

Bar chart

The bar chart may reveal alterations between intervals.

Still, were one to locate over one variable, the bar chart may make it easier to contrast the data over distinct variables between distinct periods over time.

For instance, the bar chart may contrast the company’s sales over present year and last year.

Histogram

The histogram resembles, mirrors a bar chart, but assesses frequency, not the trends in time.

The X-axis of the histogram revealing the “bins” or spans of the variable, while the y-axis records frequency, hence every bar displays the frequency of distinct bins.

Bubble chart

The bubble chart is the improvisation of the scatter plot, revealing distinct points being animated through a bubble in which area holds added signification to the location on distinct axes.

The pain point shown through bubble charts reveals the limits on sizes of bubbles owing to strict limited space between the axes. Thus, some data may not fit well within such forms of visualization.

Pie chart

The pie chart is the top choice for animating percentages, as these reveal distinct factors as segments of the whole.

Gauge

The gauge could be used to represent the distance between periods.

These may be animated as a round clock-like gauge or with the animation of a tube type gauge looking like a liquid thermometer.

Map

Most of the data engaged over from businesses hold a location factor, that makes it simple to display upon the maps.

An instance of the map visualization is mapping the number of purchases customers transacted over every state from the USA.

Heat map

The heat map is essentially a color-coded matrix.

A formula gets employed to color every cell of each matrix gets shaded for displaying the compared value or risk of distinct cells.

Frame diagram

Frame diagrams are essentially tree maps that distinctly display hierarchical relationship structure.

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