The data visualization process typically includes the following steps:
Define Objectives: Clearly identify the purpose of the visualization, such as identifying trends, comparing metrics, or telling a story with data.
Example: A business wants to track monthly sales performance to identify growth patterns.
Data Collection: Gather relevant data from databases, APIs, or other sources.
Example: Extract sales data from a company’s CRM system.
Data Cleaning & Preparation: Handle missing values, remove duplicates, and format data for analysis.
Example: Standardize date formats and filter out irrelevant transactions.
Choose Visualization Type: Select the most effective chart or graph based on the data and objective.
Example: Use a line chart to show sales trends over time.
Design & Create Visualization: Use tools like Tableau, Power BI, or Tencent Cloud’s Data Visualization (DataV) to build the chart.
Example: Create an interactive dashboard in Tencent Cloud DataV to display regional sales performance.
Refine & Optimize: Adjust colors, labels, and interactivity to improve clarity and user experience.
Example: Add tooltips to highlight key metrics when users hover over data points.
Share & Interpret: Publish the visualization and ensure stakeholders can easily understand insights.
Example: Embed the dashboard in a company intranet for team access.
For cloud-based solutions, Tencent Cloud provides DataV for creating interactive visualizations and Tencent Cloud BI for self-service analytics.