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Update documentation based on user feedback (#1141)

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This commit is contained in:
Deshraj Yadav
2024-01-08 11:07:24 +05:30
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docs/components/data-sources/csv.mdx
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title: '📊 CSV'
---
To add any csv file, use the data_type as `csv`. `csv` allows remote urls and conventional file paths. Headers are included for each line, so if you have an `age` column, `18` will be added as `age: 18`. Eg:
You can load any csv file from your local file system or through a URL. Headers are included for each line, so if you have an `age` column, `18` will be added as `age: 18`.
## Usage
### Load from a local file
```python
from embedchain import App
app = App()
app.add('https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv', data_type="csv")
# Or add using the local file path
# app.add('/path/to/file.csv', data_type="csv")
app.query("Summarize the air travel data")
# Answer: The air travel data shows the number of flights for the months of July in the years 1958, 1959, and 1960. In July 1958, there were 491 flights, in July 1959 there were 548 flights, and in July 1960 there were 622 flights.
app.add('/path/to/file.csv', data_type='csv')
```
Note: There is a size limit allowed for csv file beyond which it can throw error. This limit is set by the LLMs. Please consider chunking large csv files into smaller csv files.
### Load from URL
```python
from embedchain import App
app = App()
app.add('https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv', data_type="csv")
```
<Note>
There is a size limit allowed for csv file beyond which it can throw error. This limit is set by the LLMs. Please consider chunking large csv files into smaller csv files.
</Note>