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Learn it your way
A short class with Sarah and her students. The other ways are under More.
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Today, we're going to start by creating a survey using Google Forms. Can anyone explain why surveys are important for data collection?
Surveys help us gather information directly from people!
Exactly! Surveys allow us to collect primary data directly. What would be a good topic for our survey?
We could ask about daily screen time!
Great idea! Now, let's think about how we'll structure our questions. Do you remember what structured data is?
It's organized data, like in tables.
That's right! Now, when creating our survey, we need to ensure our questions are clear and our answer choices are well-defined. This will help in collecting accurate data.
To remember this, think of our survey questions as ‘clear’—C.L.E.A.R: Clear, Logical, Engaging, Accurate, and Relevant. Let’s create a few questions together!
Can we use multiple choice for some questions?
Absolutely! Multiple choice questions are an excellent way to get structured responses. Let’s get started on Google Forms.
Alright, to recap, we learned the importance of surveys in data collection and that structured data is key for analysis. Who can remind me what the acronym CLEAR stands for?
Clear, Logical, Engaging, Accurate, and Relevant!
Now that we have a survey in place, let's access a public dataset from data.gov.in. Can anyone tell me what types of data we might find there?
There will be lots of government data, right? Like population or environment statistics?
Exactly! We can find structured data like tables of numbers, but there may also be unstructured data like reports or images. Let’s navigate to the site and pick a dataset.
What do we do if we find a dataset? How do we know if it’s structured or unstructured?
Good question! We’ll look for characteristics of structured data, like rows and columns, while unstructured data will be more dispersed and text-heavy. Let's pick one and analyze its structure together.
I see! So, when we choose the dataset, we should think about whether it contains the information we need.
Yes! And remember, being able to identify the data type is crucial for effective analysis. Can anyone summarize what they’ve learned about data types?
Structured is organized, unstructured is messy!
Perfect! As a takeaway, always ensure that the datasets you choose align with your analysis goals. Let’s wrap up with some exploration of our chosen dataset.
Next, let’s talk about APIs. Who can explain what an API is?
It's like a way for different programs to communicate.
Exactly! APIs allow us to access data from other services. Today, we’re going to use the OpenWeatherMap API to get live temperature data. Do you think this data is structured or unstructured?
It sounds structured, since it's probably in a table format!
Correct again! APIs usually return data in a structured format such as JSON. Let's write a basic request and see how we can retrieve the temperature.
What do we need to do first?
First, we need to sign up for an API key which gives us access to their data. Let’s walk through that process and explore how to use it effectively. Remember, it's crucial to follow legal and usage guidelines when using APIs. What was one important aspect we should keep in mind?
We need to ensure we have permission to access the data!
Exactly! Always check for legal compliance when accessing data. To summarize today, APIs are essential for accessing live data, typically in a structured format like JSON. Who remembers why understanding the legal aspects is important?
To avoid unauthorized use and respect privacy!
Well done! Let's start fetching some live temperature data now!
Organized information presented in a defined format.
Data that lacks a fixed format and organization.
Interfaces allowing different software applications to communicate and retrieve data.
Data gathered firsthand for a specific purpose.
Data collected by others that can be reused.
When you’re gathering data, don't forget the goal, Keep it clear, keep it whole, that’s how you roll!
Imagine you’re a detective on a case, gathering clues from surveys, datasets, and API pace. Each piece of data helps you solve the mystery; structured or unstructured? It's key to your victory!
To remember types of data: S.U.P! Structured, Unstructured, Primary data! Get it sup-ported by a great dataset!
P.A.S. - Primary is All Source, structured, accessible, simple to engage!
Term
Structured Data
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API
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Primary Data
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Secondary Data
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Unstructured Data
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Application Programming Interface; a set of protocols for building and interacting with software applications.
Data that is organized into a predefined structure, typically in rows and columns.
Data that does not have a predefined format or structure, such as text, videos, or images.
Data collected directly by the researcher or organization for a specific purpose.
Data that has been collected by others and is being reused for a different purpose.
This section presents hands-on activity ideas to engage students in data collection and analysis.
The section features three practical activity ideas for students and teachers, focusing on creating surveys, exploring data types, and utilizing APIs for real-time data collection. These hands-on activities aim to enhance students' understanding of data collection and access.
This section proposes three engaging hands-on activities tailored for both students and teachers to facilitate practical learning about data collection and access. The activities focus on real-world applications of data collection methodologies and tools:
Create a Survey Form using Google Forms: This activity encourages students to understand data collection by designing a survey to gather information on their daily screen time. Students will learn about structured data and the importance of targeted questions in collecting relevant information.
Access a Public Dataset from data.gov.in: In this task, students will access a public dataset and analyze its structure, determining whether it is structured or unstructured. This practical application will provide insight into the variety of data sources available and how to evaluate them accordingly.
Use an API like OpenWeatherMap: Students will learn to fetch live temperature data using a public API. This activity will introduce students to the concept of APIs and their role in data retrieval in real time, thereby reinforcing their understanding of data access methods.
Through these hands-on activities, students will gain practical experience in gathering and accessing data, which is fundamental in any AI project lifecycle.