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* Improve widgets library structure * add styling to widgets library images * black linting * update widgets library index generator * update border of docs image * shift grouping Minh suggestion * no ruff in this file * Update chart-from-raw-data.md * lint * add pro to index docs * add workflows to docs * dunno how to spell existent lol * navbar logo to go to root docs * push missing bg * backend for terminal pro repo - Andrew suggestion * update content slightly * no widgets-library content should be pushed, this is generated at runtime * add Rita's vidos + review everything
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| Tabular data | 0 | Explore OpenBB Terminal Pro Docs and learn about tabular data manipulation. Discover features like column resizing, reorganization, filtering, sorting, and transposing. Enhance your navigation and analysis of investment research data. |
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
import TutorialVideo from '@site/src/components/General/TutorialVideo.tsx';
In the realm of investment research, financial data often comes in tabular form. This is because it's predominantly quantitative, and analysts and quants frequently need to delve into the raw data to make informed decisions. To enhance your navigation experience through this data, we've incorporated basic data manipulation capabilities.
Column Resizing
You have the flexibility to manually adjust the width of the table columns. Alternatively, you can use the "Autosize all columns" feature for automatic resizing.
Column Reorganization
Reorganize your columns effortlessly with our drag-and-drop feature. Simply click and hold the mouse on the column header and drag it to your desired position.
Column Filtering
To reduce visual clutter, you can temporarily hide any columns that aren't currently relevant to your analysis. This can be done easily in the column settings.
Sorting
By clicking on a column header, you can sort the data in ascending or descending order based on that column's values.
Transposing
Our platform allows you to transpose tables, turning columns into rows and vice versa. This feature can be particularly useful for rendering time series from tabular data.