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(Use Case) Data Analysis Automation (1) - Korean Baby Name Ranking Analysis (⭐⭐⭐)

Date of creation
Name
(Use Case) Data Analysis Automation (1) - Korean Baby Name Ranking Analysis (⭐⭐⭐)
Created by
  • data_popcorn

Prerequisite

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Airtable API
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OpenAI API
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Slack API

Scenario

💡
One line summary
A workflow that analyzes the top 50 names of children born between 2020 and 2024 in Korean name statistics .

1. Data Connection

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Let's import data from Airtable.

2. Data Manipulation

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Role in bundling the entire data so that the AI Agent can read it

3. AI Agent

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Agent : Tools Agent
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Prompt: Define below
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Text :
2020~2024년 사이 한국에서 인기 있는 이름 남녀 TOP 50이야. 주어진 데이터를 분석해주고 TOP 10 차트로 만들어줘. 1. 인기 있는 이름들의 특징들이 뭐야? 2. 남녀 이름에 서로 연관 지을 수 있는 것이 있어? {{ $json.data }}
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Options > System Message
For Slack

Chat Model

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If you haven't already issued an OpenAI API key, please do so here first. OpenAI
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Model: gpt-4o-mini 2024-07-18

Tool

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Copy and paste the contents below into Input Schema.
{ "type": "object", "properties": { "query": { "type": "string", "description": "a query describing the chart to generate" } } }

4. Share

Output

Slack

Discord

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The tool invokes subworkflows via queries.
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The subworkflow calls an HTTP request node (calling OpenAI) to retrieve the chart definition.
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In the 'Response Settings' node, a chat definition is added to the end of the quickchart.io URL , which is the URL of the chart image . This image is then sent back to the AI agent.
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The AI agent uses this image in its response.
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For example, you could ask an AI agent to generate a chart of the top five movies at the box office.

Troubleshooting

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There may be some glitches since the full Quickchart.io specification is not integrated (e.g. radar graphs not displaying properly due to the size of the graph).
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This can be provided to all automation, not just AI agents.
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