504a4f442c
* small improvement * Fix TutorialVideo for mobile view * main page terminal pro docs * jose whelp * placeholder index file that needs to be removed * fix: fixes sidebar, removes unused index.md * update link to api keys * update api keys link * fix hyperlinks in terminal helper * fix a few more links * fix some more links * linter * black linter * improve main docs page for each product * small refactor * header to take to main page of product * run OpenAI script to generate SEO for pro content --------- Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
1.8 KiB
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title, sidebar_position, description, keywords
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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';
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.