Interactive Dashboard & analytics

Starting at

$

250

About this service

Summary

A BI or Tableau dashboard might include features such as:
Interactive filters: Users can select various criteria such as time range, location, or product category to filter the data displayed in the charts and graphs.
Drill-down capabilities: Users can drill down into specific data points to see more detailed information, such as clicking on a bar chart to see the underlying data points that make up the bar.
Real-time data updates: The dashboard can update in near real-time as new data becomes available, allowing users to stay up-to-date on the latest trends and insights.
Customizable layouts: Users can customize the layout of the dashboard to suit their preferences, rearranging charts and graphs or adding new ones as needed.
Mobile compatibility: The dashboard can be designed to be viewed on mobile devices, allowing users to access the data and insights from anywhere.

What's included

  • data visualization

    An interactive dashboard is a data visualization tool that allows users to explore data in a dynamic and user-friendly way. It typically consists of multiple charts, graphs, and tables that are linked together to provide a comprehensive view of the data. A BI or Tableau dashboard might include features such as: Interactive filters: Users can select various criteria such as time range, location, or product category to filter the data displayed in the charts and graphs. Drill-down capabilities: Users can drill down into specific data points to see more detailed information, such as clicking on a bar chart to see the underlying data points that make up the bar. Real-time data updates: The dashboard can update in near real-time as new data becomes available, allowing users to stay up-to-date on the latest trends and insights. Customizable layouts: Users can customize the layout of the dashboard to suit their preferences, rearranging charts and graphs or adding new ones as needed. Mobile compatibility: The dashboard can be designed to be viewed on mobile devices, allowing users to access the data and insights from anywhere.

  • Data analysis

    Data analysis using Python typically involves several steps, including: Data cleaning and preparation: This involves removing any inconsistencies or errors in the data, dealing with missing values, and transforming the data into a format that can be used for analysis. Data exploration: This involves using various statistical and visual techniques to explore the data and identify patterns or trends. Data modeling: This involves developing models to help predict or explain the data, such as linear regression, decision trees, or clustering algorithms. Data visualization: This involves creating graphs, charts, and other visualizations to effectively communicate insights and findings from the data.


Skills and tools

Data Visualizer

Data Analyst

Google Sheets

Google Sheets

Microsoft Excel

Microsoft Excel

Microsoft Power BI

Microsoft Power BI

Python

Python

Tableau

Tableau

More services

STARTING AT

$20/hour

hourly rate