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Ask ChatGPT for visual data analysis
Prompt #1: "Okay ChatGPT, I'm sharing with you the plot now. I'm wondering if you can give me a really brief one-sentence overview of what you see."
Prompt #2: "Fantastic. I have another question for you. Which months do you see the hottest temperatures and roughly what temperatures do those correspond to?"
Prompt #3: "What's going on with the y axis? Is this in Celsius or Fahrenheit?"
ChatGPT response from the live demo
Response #1: "The plot displays smoothed average, minimum and maximum temperatures throughout 2018 with a notable annotation marking a big rainfall event in late September."
Response #2: "The hottest temperatures occur around July and August. The maximum temperature during these months is roughly between 25 degrees and 30 degrees (77 degrees Fahrenheit to 86 degrees Fahrenheit)."
Response #3: "The y axis is in Celsius. The temperatures are labeled accordingly such as average temperature, minimum temperature and maximum temperature."
ChatGPT response from the text input
Response #1: "The plot shows the daily average, minimum, and maximum temperatures over the year 2018, with a significant rainfall event annotated in late September."
Response #2: "The hottest temperatures occur during July and August, with maximum temperatures reaching around 30°C, average temperatures around 20-25°C, and minimum temperatures between 15-20°C."
Response #3: "The y-axis is labeled as “Temperature” and given that the values are between -5 and 30, it is most likely in degrees Celsius. This range is typical for weather data in Celsius, especially considering the location (49.2497° N, -123.1193° W) which corresponds to Vancouver, Canada."
Response from GPT-4 model (gpt-4-turbo-2024-04-09
)
Response #1: "The plot displays the daily average, minimum, and maximum temperatures throughout 2018, with a noticeable annotation for a significant weather event labeled “Big Rainfall” in September, showing a peak in maximum temperature."
Response #2: "The hottest temperatures in the plot occur around July and August, where the maximum temperature line (green) peaks at approximately 25 to 30 degrees Celsius."
Response #3: "The y-axis of the plot is likely showing temperatures in degrees Celsius, as indicated by the values ranging from about -5 to 30 degrees Celsius, which are typical temperature ranges you might expect to see in many parts of the world using the Celsius scale."
Ask ChatGPT a specific question about the code
foo
. Can you describe to me what the plot would look like if I had vs didn't have this function?"ChatGPT response from the live demo
"Sure! The function
foo(x,y)
takes in a dataframex
containing temperature data and a window sizey
for calculating the rolling mean. It smooths the average temperature, minimum temperature and maximum temperature columns by applying a rolling mean over the specified window. With thefoo
function, the plot would show smoother temperature lines because the rolling mean reduces the noise or fluctuations in the data." (interruption)ChatGPT response from the text input
The function
foo
smooths the temperature data by applying a rolling mean with a specified window size. Here's how the plot would differ with and without this function:With
foo
Function:Without
foo
Function:In summary, using the
foo
function will result in a smoother, more visually appealing plot that highlights overall temperature trends, while not using it will show the raw, more variable daily temperature data.Response from GPT-4 model (
gpt-4-turbo-2024-04-09
)The function foo in your code applies a rolling average to the temperature data (average, minimum, and maximum temperatures) over a specified window (in this case, 5 days). Here’s how the use of this function affects the plot:
With the foo Function (Using Rolling Average):
Without the foo Function (Using Raw Data):
In summary, including the foo function makes the plot more streamlined and easier for identifying longer-term temperature trends, while excluding it retains the detailed day-to-day variability in temperatures.