Top product categories
bar — Top N by X
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“Show my top 10 product categories by revenue”
Langsat Data Analytics Ask your data anything.
BUILT FOR ANALYSTS
WHAT YOU CAN BUILD
Every chart type your data deserves.
Fifteen built-in chart types covering every analytical question, from “Top N” to “Where are points clustered.” Each one renders as a dashcard you can drop into any tab, drill into, recolor, or export — without writing code.
Order value vs. shipping time
scatter — Two metrics
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“Is order value related to shipping time?”
Daily active users
line — Trend over time
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“Plot daily active users over the past year”
Revenue by channel
pie — Composition
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“What share of revenue comes from each channel?”
Spend share
donut — Composition with KPI
Ask Langsat ›
“Break down this quarter's spend by category”
Latency by region
box — Distribution + outliers
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“Compare latency distribution across regions”
Checkout conversion
funnel — Conversion / drop-off
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“Where do users drop off in the checkout funnel?”
Net revenue movement
waterfall — Running total
Ask Langsat ›
“What moved net revenue from Q1 to Q2?”
Session duration (sec)
histogram — Distribution from raw values
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“Show the distribution of session durations”
Spend by department
treemap — Hierarchical breakdown
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“Break down budget by department and team”
Revenue rings
sunburst — Hierarchical (radial)
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“Break revenue down by category and sub-category”
Day × hour activity
heatmap — Correlation matrix
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“When are users most active, by day and hour?”
Sales by country
choropleth — By country
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“Which countries drive the most sales?”
Store locations
scattermapbox — Points on a map
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“Map all our store locations”
User clusters
densitymapbox — Heat blob
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“Where are users most densely concentrated?”
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ZERO TO INSIGHT
A whole dashboard, generated for you.
Empty dashboard? Click Generate Dashboard and Langsat reads your schema, picks the six chart types that best summarize the data — summary KPIs, top-N comparisons, distributions, trends, and a correlation heatmap — and lays them out in a tidy four-column grid.
First time on a project the inference engine warms up for a few seconds with a “Starting inference engine. Please wait…” overlay; after that, every generate is instant.
Need a specific cut? Open the chat panel and type the question (“Show revenue by region last quarter”). Langsat returns a chart spec; you pick which tab to drop it into — an existing dashboard or a new one — via the tab picker.
Step 1
One click on an empty dashboard kicks off the auto-build.
Step 2
Starting inference engine.
Please wait…
Step 3
Summary KPI
$2.4M
Top regions
Channel mix
Trend
Distribution
Correlation
FOLLOW THE THREAD
Click any bar, scatter point, or line — the rest of the dashboard follows.
On a bar, scatter, or line chart, a single click sets an eq filter on the value you clicked. Every sibling widget on the same tab fades non-matching points to 70% opacity — no full re-render, no re-aggregation, just a near-instant visual filter.
Shift-click extends the selection: a between range for numeric or date columns, an in multi-select for categorical ones. On any map widget (choropleth, scattermapbox, densitymapbox), a double-click zooms +2 levels toward the clicked lat/lon — stacked double-clicks keep zooming, capped at zoom 18.
Revenue by region
bar — click any bar to drill
Orders over time
line — sibling: non-matching dimmed to 70%
Top products
bar — sibling: matching solid, others faded
The bordered card above is the source. The two below show the cascade — non-matching points fade to 70% opacity without a re-aggregation. Shift-click extends the range.
MAKE EACH DASHBOARD YOURS
Six themes built in. Conditional rules when you need them.
Themes recolor every chart on the dashboard at once — bar, pie, treemap, map, all of them. Need a chart to read “red = critical, green = good” regardless of theme? Layer conditional formatting on top.
Dashboard theme
Click any theme — the three dashcards on the right recolor in real time. Themes apply to every chart at once and persist per dashboard.
Top product categories
bar — recolors with theme
Revenue by channel
pie — recolors with theme
Spend by department
treemap — recolors with theme
Conditional formatting
Override colors with rules — first match wins.
Open Conditional formatting from any chart’s dot menu (bar, scatter, pie, donut, treemap, sunburst, funnel, histogram, box) and add a rule with one of six operators:
> >= < <= == between.
Rules apply per chart, never globally — the dashboard theme keeps painting everything else.
“No rules yet. Bars fall through to the dashboard theme.”
The first rule that matches wins; unmatched bars keep the theme’s color. Disable rules entirely with one checkbox — your dashboard reverts to pure theme colors without losing the rules you set up.
Fullscreen
Edit Title
Edit Prompt
Refresh
Explain
Star
Download PNG
Export CSV
Move to…
Conditional formatting
Delete
Order value vs. ship time
rule: if value > $200 → red
Latency by region
rule: if median > 60ms → red
Revenue by region
rule: if value > 2.5M → red
FROM THE DOT MENU
Iterate, explain, and take it with you.
Every dashcard carries the same dot menu — rewrite its prompt, ask it to explain itself, or download it as a PNG or CSV, all without leaving the dashboard.
Edit Prompt
Every dashcard remembers the question that made it. Edit the prompt, hit Enter, and it re-runs in place — same tab, refreshed answer.
Edit Dashcard
mode: auto
Explain
Not sure what you’re seeing? Explain reads the chart’s axes and a sample of rows, then interprets it in plain English — back in chat, grounded in your data.
Explanation
This bar chart shows the top five product categories by revenue last quarter. Electronics leads at $2.4M, followed by Apparel at $1.8M — a 25% drop from #1 to #2 suggests category concentration in Electronics.
based on 8 sampled rows · model
Download PNG
Export at 1200×800 @ 2× — 2400×1600 on a white background, sharp for board decks and 4K. Filenames come from the widget title.
PNG
revenue.png
2400 × 1600 · 184 KB
Export CSV
The underlying data as CSV — one column pair per series (region_x, region_y), or raw rows for tables. Opens in Excel or Sheets.
CSV
revenue.csv
8 rows · 2 columns
FAQ
Frequently asked questions
What can I do with Langsat Data Analytics?
Ask questions about your data in plain language and Langsat builds interactive dashboards for you — charts, tables, and summaries — in seconds. It's a no-code way to explore, visualize, and understand your data without writing queries or standing up a BI tool.
Do I need SQL or a BI tool?
No. Just describe what you want to see — like 'revenue by region last quarter' — and Langsat generates the chart or table for you. It connects to your data and does the querying behind the scenes, so there's no SQL to write and no dashboard software to set up.
What charts and visualizations are supported?
More than a dozen chart types — bar, line, scatter, histogram, heatmap, pie and donut, box plot, funnel, treemap, and maps — plus paginated data tables. Langsat picks a sensible visualization for your question, and you can refine it or ask for a different one.
Can I drill into the data to explore a segment?
Yes. Click any bar, point, or map region to drill straight into that segment — Langsat instantly filters to it and re-renders, so you can go from a high-level view down to the detail behind it, all running on your full dataset rather than a sample.
Can I export or share what I find?
Yes. Export any chart as a high-resolution PNG, or the underlying data as CSV — so you can drop results straight into a deck or report, or share them with your team.
Try Langsat Data Analytics free
Upload your first dataset and ask your first question in under five minutes. No credit card required.