Data Code Helper-AI-powered coding assistance

Example

import pandas as pd # Load multiple CSV files and concatenate them into a single DataFrame df_list = [pd.read_csv(file) for file in all_csv_files] full_df = pd.concat(df_list, ignore_index=True)

Scenario

A data engineer is tasked with preparing a consolidated report from several CSV files each containing parts of sales data. Using the provided code, they can quickly aggregate these files into one DataFrame for analysis.

Example

SELECT * FROM sales_data WHERE sales > 5000

Scenario

A database administrator needs to extract high-value sales records. Data Code Helper provides an SQL query that efficiently retrieves records meeting the specified criteria from a database.

Example

function createSpreadsheet() { var ss = SpreadsheetApp.create('New Spreadsheet'); Logger.log('Spreadsheet URL: ' + ss.getUrl()); }

Scenario

A small business owner requires an automated solution to generate new spreadsheets for monthly expense tracking. Data Code Helper provides a Google App Script snippet to automate this process, which can be directly used in Google Sheets.