I want to share a cool feature in Data.olllo, a local, offline, no-code data analysis tool with AI chat capabilities.

Handling time and date data can be a pain—timestamps, strings, extracting year/month, or converting formats usually require coding knowledge. With Data.olllo’s AI chat, you just describe what you want in plain English, and the AI instantly generates the correct pandas code inside a process(dfs) function you can run on your dataset.

For example, you can: - Convert Unix timestamps to readable date-times - Extract parts like year and month from date columns - Parse messy string dates into proper datetime objects - Convert datetime back to numeric timestamps - Format datetime columns into any string style you want

Here’s a sample snippet the AI generates for converting a Unix timestamp column:

def process(dfs): df = dfs["df"] df["timestamp"] = pd.to_datetime(df["timestamp"], unit="s") return df

You don’t need to know pandas or write any code yourself — just type your request, and the AI does the heavy lifting, letting you explore and visualize your data faster.

Data.olllo runs 100% locally, so your data stays private, and it can handle millions of rows quickly.

If you often struggle with time data or want a fast way to analyze large CSVs without coding, give Data.olllo a try:

https://olllo.top/convert-format-datetime-ai-chat

Happy to answer questions or get feedback!

— Denis