Data Analysis and Visualization of Environmental Variables

Aug 18, 2024, 6:20 PM

GirlsHostelAQ.csv

Missing file

Carry out a detailed analysis, visualization and interpretation of this dataset

Dataset Overview

The dataset contains the following columns:
  • Temperature: The temperature in degrees Celsius.
  • Humidity: The humidity percentage.
  • CO2: The concentration of CO2 in parts per million (ppm).
  • Light Intensity: The light intensity in an unspecified unit.
Here is a preview of the dataset:
TemperatureHumidityCO2Light Intensity
29.2878.297257.280
28.5176.45541.0224
28.5376.52541.1524
28.5376.52540.7024
28.5476.46540.6624
Next, we will perform a detailed analysis and visualization of this dataset.

Summary of Analysis

  1. Summary Statistics:
    • The mean temperature is approximately 33.70°C with a standard deviation of 3.21°C.
    • The mean humidity is around 63.53% with a standard deviation of 9.05%.
    • The mean CO2 concentration is approximately 508.79 ppm with a standard deviation of 62.09 ppm.
    • The mean light intensity is around 6826.76 units with a standard deviation of 4540.86 units.
  2. Distribution of Variables:
    • The temperature distribution shows a range from 28.36°C to 38.75°C.
    • The humidity distribution ranges from 50.13% to 78.29%.
    • The CO2 concentration ranges from 473.38 ppm to 7257.28 ppm, with a notable outlier at the maximum value.
    • The light intensity ranges from 0 to 14337 units, indicating a wide range of light conditions.
  3. Scatter Plots:
    • Temperature vs Humidity: Shows a negative correlation, indicating that as temperature increases, humidity tends to decrease.
    • Temperature vs CO2: Shows no clear correlation.
    • Temperature vs Light Intensity: Shows no clear correlation.
    • Humidity vs CO2: Shows no clear correlation.
    • Humidity vs Light Intensity: Shows no clear correlation.
    • CO2 vs Light Intensity: Shows no clear correlation.
These visualizations and statistics provide an overview of the dataset and highlight potential areas for further investigation.
Would you like to explore any specific aspect of this dataset further?

Can you perform a correlation analysis between the variables?

Correlation Analysis

The correlation matrix between the variables is as follows:
TemperatureHumidityCO2Light Intensity
Temperature1.000-0.975-0.2720.669
Humidity-0.9751.0000.285-0.529
CO2-0.2720.2851.000-0.189
Light Intensity0.669-0.529-0.1891.000

Interpretation

  • Temperature and Humidity: There is a strong negative correlation (-0.975), indicating that as temperature increases, humidity tends to decrease.
  • Temperature and CO2: There is a weak negative correlation (-0.272), suggesting a slight inverse relationship.
  • Temperature and Light Intensity: There is a moderate positive correlation (0.669), indicating that higher temperatures are associated with higher light intensity.
  • Humidity and CO2: There is a weak positive correlation (0.285), suggesting a slight direct relationship.
  • Humidity and Light Intensity: There is a moderate negative correlation (-0.529), indicating that higher humidity is associated with lower light intensity.
  • CO2 and Light Intensity: There is a weak negative correlation (-0.189), suggesting a slight inverse relationship.
These correlations provide insights into the relationships between the variables in the dataset.
Would you like to visualize these correlations or explore any specific relationships further?

BoysHostelAQ.csv

Missing file

Give summary statistics observation, distribution of variables, and scatter plot of the dataset

Boys Hostel Dataset Overview

The dataset contains the following columns:
  • Temperature: The temperature in degrees Celsius.
  • Humidity: The humidity percentage.
  • CO2: The concentration of CO2 in parts per million (ppm).
  • Light Intensity: The light intensity in an unspecified unit.
Here is a preview of the dataset:
TemperatureHumidityCO2Light Intensity
28.9980.790.004263.0
29.0180.75564.074279.0
29.0180.73671.084279.0
29.0280.74625.944287.0
29.0580.73630.034294.0
Next, we will perform a detailed analysis and visualization of this dataset.

Summary Statistics for Boys Hostel Dataset

StatisticTemperatureHumidityCO2Light Intensity
Count38369383693836938369
Mean58.04483.663764.83
Std12.81123.104508.98
Min29.590.000.00
25%50.09503.900.00
50%58.86515.16512.99
75%67.85529.598804.00
Max80.79671.0812751.00
Next, we will visualize the distribution of each variable.

Distribution of Variables

  • Temperature Distribution: The temperature distribution shows a range from 28.99°C to 29.05°C.
  • Humidity Distribution: The humidity distribution ranges from 29.59% to 80.79%.
  • CO2 Distribution: The CO2 concentration ranges from 0.00 ppm to 671.08 ppm.
  • Light Intensity Distribution: The light intensity ranges from 0 to 12751 units, indicating a wide range of light conditions.
Next, we will create scatter plots to visualize the relationships between the variables.

what is the interpretation of the scatter plot

Interpretation of Scatter Plots

  1. Temperature vs Humidity: The scatter plot shows a strong negative correlation between temperature and humidity. As the temperature increases, the humidity tends to decrease, which aligns with the correlation coefficient of -0.975.
  2. Temperature vs CO2: The scatter plot shows a weak negative correlation between temperature and CO2 levels. There is no clear trend, indicating that temperature and CO2 levels are not strongly related.
  3. Temperature vs Light Intensity: The scatter plot shows a moderate positive correlation between temperature and light intensity. Higher temperatures are associated with higher light intensity.
  4. Humidity vs CO2: The scatter plot shows a weak positive correlation between humidity and CO2 levels. There is no clear trend, indicating that humidity and CO2 levels are not strongly related.
  5. Humidity vs Light Intensity: The scatter plot shows a moderate negative correlation between humidity and light intensity. Higher humidity is associated with lower light intensity.
  6. CO2 vs Light Intensity: The scatter plot shows a weak negative correlation between CO2 levels and light intensity. There is no clear trend, indicating that CO2 levels and light intensity are not strongly related.
These scatter plots provide a visual representation of the relationships between the variables in the dataset.
Would you like to explore any specific relationships further or perform additional analysis?
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