From f67487e6c6d7171d561088f95a777a19f532c814 Mon Sep 17 00:00:00 2001 From: Imai Midori <59559181+jojocys@users.noreply.github.com> Date: Fri, 12 May 2023 18:38:16 +0800 Subject: [PATCH] doc: fix typos --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index f3c5723..5a8ed1e 100644 --- a/README.md +++ b/README.md @@ -3,28 +3,28 @@ https://github.com/ObservedObserver/viz-gpt/assets/22167673/a09032d3-f3c8-4cdf-ac14-89df8754fd9f -Use GPT to generate visualization from dataset with natural language. You can edit the visualization in the contex step by step to make it more precise without retype the whole complex query. +Use GPT to generate visualization from datasets with natural language. You can edit the visualization in the context step by step to make it more precise without retyping the complex query. You can try it at [Playground](https://vizgpt.ai/) #### Why VizGPT -There exist lots of great visualization product in the world, such as tableau, pygwalker. Traditional drag-and-drop visualization tool is hard to use for people who are not familiar with configs and viz/data transformations. For example, making a heatmap in tableau requires to make bin transformations to both axis, and then drag the measure to color. It is hard for people who are not familiar with data visualization to make a heatmap. +There exist lots of great visualization products in the world, such as Tableau, pygwalker. The traditional drag-and-drop visualization tool is hard to use for people unfamiliar with configs and viz/data transformations. For example, making a tableau heatmap requires bin transformations to both axes and then dragging the measure to color. It is hard for people unfamiliar with data visualization to make a heatmap. -Some text2viz tools accepts natural language to generate visualization. However, they are not flexible enough to allow user to edit the visualization. For example, if the user want to change the color of the heatmap, they have to retype the whole sentence. +Some text2viz tools accept natural language to generate the visualization. However, they are not flexible enough to allow users to edit the visualization. For example, if the user wants to change the color of the heatmap, they have to retype the whole sentence. -With VizGPT, you can build visualizations step by step with chat interface. You can edit/adjust visualizations in the context. It allows your to explore the data first without figuring out how to build complex visualization at begining, especially when you are not familiar with the data. +With VizGPT, you can build visualizations step by step with a chat interface. You can edit/adjust visualizations in the context. It allows you to explore the data first without figuring out how to build complex visualization initially, especially when unfamiliar with the data. ## Features & Roadmap + [x] Natural language to data visualization [vega-lite](https://github.com/vega/vega-lite) -+ [x] Use chat context to edit your visualization. Allow user to change the chart if it is not they expected ++ [x] Use chat context to edit your visualization. Allow users to change the chart if it is not what they expected + [x] Explore the data step by step by chatting with visualizations. -+ [x] Upload your own dataset (CSV) to make visulization. ++ [x] Upload your own dataset (CSV) to make visulizations. + [ ] Save the visualizations and chat history. -+ [ ] Allow user to use visulization editor (like [graphic-walker](https://github.com/Kanaries/graphic-walker) or [vega-editor](https://github.com/vega/editor)) to edit the visualization and show the edit to GPT to make better visualization as the user prefers. ++ [ ] Allow user to use visualization editor (like [graphic-walker](https://github.com/Kanaries/graphic-walker) or [vega-editor](https://github.com/vega/editor)) to edit the visualization and show the edit to GPT to make better visualization as the user prefers. -> vizGPT now is good at draw data visualizations, not data transformations/prepare/computation. You can use other tools like Kanaries/RATH to prepare the data first, and then use vizGPT to draw the visualization. +> vizGPT is now good at drawing data visualizations, not data transformations/preparation/computation. You can use other tools like Kanaries/RATH to prepare the data first and then use vizGPT to draw the visualization. ## Chat to Viz Example vizapt-1 @@ -41,7 +41,7 @@ With VizGPT, you can build visualizations step by step with chat interface. You ### Add custom CSV file -Click `upload csv` button to add your own data. You can view or edit your data's metas at data view. The metas is infered automatically by default, you can edit it anytime you want to make the visualization more precise. +Click `upload CSV button to add your own data. You can view or edit your data's metas at data view. The metas are inferred automatically by default. You can edit it anytime you want to make the visualization more precise. ![data view](https://github.com/ObservedObserver/viz-gpt/assets/22167673/a490e364-bcd1-418f-80eb-62e47faf4330)