AI Agent for Data Analysis

Statistical Analysis

Explore numerical and categorical data without manually calculating every statistic. Ask the agent to examine descriptive statistics, distributions, correlations, and differences across your dataset.

For supported CSV and Excel files, the agent can inspect multiple sheets and help you understand what the numbers show. Depending on your request and the data, you can explore trends, compare variables, examine unusual observations, and review statistical results.

This is useful for research datasets, survey results, business records, and other structured information that needs closer examination.

Custom Calculations and Advanced Analysis

Some questions require more than a summary or a chart. You may need a regression, forecast, aggregation, pivot, or calculation tailored to your dataset.

DataLumio's AI Agent can run Python-based analysis using libraries such as pandas, NumPy, and SciPy to carry out supported calculations. Describe what you want to investigate, and the agent can work with the data to produce relevant results.

You can use this for more involved analytical tasks without having to write every calculation yourself. As with any statistical workflow, review the methods, assumptions, and results before relying on them.

Qualitative Data Analysis

Interview transcripts, open-ended survey answers, and research documents often contain important findings that are difficult to organize manually.

The AI Agent can examine supported text-based data to identify recurring themes, patterns, sentiment, and relevant quotations. You can let the analysis explore themes in the material or provide your own themes and research questions to guide it.

This can help researchers organize large collections of responses, compare perspectives, and prepare a structured first pass of their qualitative findings. You can then review the supporting evidence and refine your interpretation.

Data Cleaning

Unclean data can make even a straightforward analysis unnecessarily difficult. Duplicate records, missing values, inconsistent data types, and unusual observations can all affect how a dataset should be interpreted.

Ask the agent to clean a supported CSV or Excel file. It can remove duplicates, handle missing values, address outliers according to the requested cleaning approach, and correct data types where appropriate. You can then obtain a cleaned file for further analysis.

Cleaning is not just a preliminary chore. It helps you understand the condition of your data before drawing conclusions from it.

Interactive Dashboards and Charts

Sometimes a table of results is not the easiest way to understand what is happening. A chart or dashboard can make comparisons, trends, and key figures easier to inspect.

Ask the agent to create supported visualizations, including bar, line, pie, and scatter charts. You can also build interactive dashboards with key performance indicators and other relevant views of your data.

Whether you're reviewing survey findings, sales figures, or research results, visual outputs give you another way to explore and communicate what the data shows.

Chat With PDFs and Documents

Important information is often buried in long reports, research papers, spreadsheets, and other documents. Finding a specific answer can mean searching through multiple files and checking each one manually.

With DataLumio, you can ask questions across up to five supported files at once, including PDF, Word, CSV, and Excel files. The agent can use the available document content to answer questions and provide source references so you can check where the information came from.

This is useful when comparing reports, reviewing research documents, finding relevant figures, or examining information spread across several files.

Ask Questions About Your Database

You do not always need to export a database into a spreadsheet before you can investigate it.

Connect a supported PostgreSQL, MySQL, or Supabase database and ask questions in plain English. The agent can translate your request into a SQL query, run it in read-only mode, and use the returned results to help answer your question.

For example, you could ask which products had the highest sales in a particular period or how customer activity differs between groups. The agent can query the connected data instead of requiring you to write SQL manually.

Read-only query execution helps prevent the agent from modifying database records through these queries. Your database permissions and access controls should still be configured appropriately.

Compare Two Datasets

Comparing two versions of a file can be tedious, particularly when the differences are scattered across many rows.

Ask the agent to compare two supported files and identify rows that were added, removed, or changed. Where applicable, the comparison can show the before-and-after values so you can inspect the differences.

This can help when checking updated survey exports, reviewing revised records, reconciling reports, or investigating changes between dataset versions.

Convert Data Between File Formats

Data often needs to be converted before it can be used in another system or workflow.

DataLumio's AI Agent can convert supported data into formats such as CSV, TSV, JSON, XML, YAML, and SQL INSERT statements. Describe the format you need, and the agent can prepare the corresponding output from your data.

This is useful when moving structured information between tools, preparing files for import, or working with a format required by a particular application.

Generate PDF and Excel Reports

An analysis is more useful when you can share its results with someone else.

Ask the agent to turn your findings into a formatted, downloadable report. Depending on the task, you can organize the results into a report suitable for reviewing with a supervisor, presenting to a team, or keeping with your research records.

DataLumio supports PDF and Excel report workflows, helping you move from analysis to a more organized deliverable without manually assembling every result.

Search the Web for Supporting Information

Sometimes the data in front of you does not provide the full context you need. You may want to investigate a recent figure, check an external source, or understand a result alongside current information.

DataLumio's AI Agent can search the web for relevant information and provide links to the sources it uses. This gives you a way to explore external context alongside your own analysis.

Check the linked sources before relying on external figures, especially when the information is time-sensitive or important to your conclusions.

Connect Google Drive and Google Sheets

Your data may already be stored in Google Drive or Google Sheets. Downloading and uploading files repeatedly adds unnecessary steps to the workflow.

Connect a supported Google account to access available files through DataLumio's integration. You can select supported documents or spreadsheets and work with them without manually re-uploading each file.

This is particularly useful when research files, reports, and spreadsheets are already organized in Google Workspace.

Researchers and Academic Professionals

Research projects often involve several types of information, from numerical survey results to interview transcripts and published documents. DataLumio can help researchers clean datasets, examine quantitative results, organize qualitative findings, and review research files.

The agent can support the analysis process, while researchers remain responsible for checking the evidence, selecting appropriate methods, and interpreting findings in line with their study design.

Business Analysts and Teams

Business teams regularly work with sales exports, customer records, operational spreadsheets, and database information. DataLumio can help investigate these datasets, calculate relevant metrics, compare records, and create visual summaries.

You can also use supported database connections to ask questions about stored data without manually writing every SQL query.

Students Working With Research Data

Students may need to organize survey results, analyze numerical datasets, examine qualitative responses, or prepare findings for a project or dissertation.

The AI Agent can help with supported analysis tasks and reporting. Students should still understand the methods, validate the results, and follow their institution's academic integrity rules.

Consultants and Data Professionals

Consultants and analysts often need to work with different file formats, compare versions of datasets, prepare reports, and communicate findings to clients or colleagues.

The ability to combine calculations, file comparisons, visualizations, and reporting in one workflow can help simplify these tasks without removing the need for professional review.