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final data.csv

Missing file

I WOULD LIKE TO The analysis should be based on the mean, standard deviation, and significance tests.The study investigates the effect of different concentrations of plant extracts on seed germination and seedling growth of three plant species, including wild mustard, wild barley, and wild lettuce (which is recognized as a sensitive plant to allelochemicals).

Factors:

    Factor One: Plant Species
        Wild mustard
        Wild barley
        Wild lettuce

    Factor Two: Extract Concentrations
        0% (Control)
        20%
        40%
        60%
        80%
        100%

Experimental Design:
    Design Type: Factorial experiment
    Design: Completely Randomized Design (CRD)
    Replications: 3 replications for each treatment combination

To analyze significant differences between treatments, Analysis of Variance (ANOVA) will be used. Duncan's multiple range test will be employed to identify different groups of

Let's start by loading the provided dataset and inspecting its contents. This will help us understand the structure of the data and proceed with the analysis accordingly.

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It seems that the 'ascii' encoding is not suitable for reading the file due to the presence of non-ASCII characters. Let's try using 'utf-8' encoding instead.

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The dataset has been successfully loaded. Here are the first few rows of the dataset:

Species	Extract Concentration	Germination Percentage	Germination Rate	Root Length	Shoot Length	Seedling Dry Weight
جو وحشی	۰.۰۰%	92.00	8.33	6.13	8.42	28.44
جو وحشی	۲۰.۰۰%	65.33	5.37	4.30	6.05	19.74
جو وحشی	۴۰.۰۰%	54.67	3.07	2.43	4.30	16.52
جو وحشی	۶۰.۰۰%	29.33	2.13	1.07	2.68	13.07
جو وحشی	۸۰.۰۰%	0.00	0.00	0.00	0.00	0.00

Next, we will proceed with the following steps:

Convert the columns to appropriate data types.
Calculate the mean and standard deviation for each combination of plant species and extract concentration.
Perform ANOVA to analyze significant differences between treatments.
Use Duncan's multiple range test to identify different groups.

Let's start with converting the columns to appropriate data types.

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It seems there was a syntax error in the previous code cell. The issue was caused by a typo in the variable name df. Let's correct this and proceed with cleaning the data and converting the columns to appropriate data types.

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The columns have been successfully converted to appropriate data types. Here are the data types of each column:

Species: object
Extract Concentration: float64
Germination Percentage: float64
Germination Rate: float64
Root Length: float64
Shoot Length: float64
Seedling Dry Weight: float64

Next, we will calculate the mean and standard deviation for each combination of plant species and extract concentration.

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The mean and standard deviation for each combination of plant species and extract concentration have been calculated. Here are the summary statistics:

Species	Extract Concentration	Mean Germination Percentage	Std Germination Percentage	Mean Germination Rate	Std Germination Rate	Mean Root Length	Std Root Length	Mean Shoot Length	Std Shoot Length	Mean Seedling Dry Weight	Std Seedling Dry Weight
جو وحشی	0.0	92.00	NaN	8.33	NaN	6.13	NaN	8.42	NaN	28.44	NaN
جو وحشی	20.0	65.33	NaN	5.37	NaN	4.30	NaN	6.05	NaN	19.74	NaN
جو وحشی	40.0	54.67	NaN	3.07	NaN	2.43	NaN	4.30	NaN	16.52	NaN
جو وحشی	60.0	29.33	NaN	2.13	NaN	1.07	NaN	2.68	NaN	13.07	NaN
جو وحشی	80.0	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN
جو وحشی	100.0	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN
خردل وحشی	0.0	97.33	NaN	9.33	NaN	7.13	NaN	9.42	NaN	32.44	NaN
خردل وحشی	20.0	73.33	NaN	6.37	NaN	5.30	NaN	7.05	NaN	22.74	NaN
خردل وحشی	40.0	57.33	NaN	4.07	NaN	3.43	NaN	5.30	NaN	19.52	NaN
خردل وحشی	60.0	50.67	NaN	3.13	NaN	2.07	NaN	3.68	NaN	16.07	NaN
خردل وحشی	80.0	28.00	NaN	1.00	NaN	1.00	NaN	1.00	NaN	10.00	NaN
خردل وحشی	100.0	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN
کاهو وحشی	0.0	100.00	NaN	10.00	NaN	8.13	NaN	10.42	NaN	35.44	NaN
کاهو وحشی	20.0	80.00	NaN	7.37	NaN	6.30	NaN	8.05	NaN	25.74	NaN
کاهو وحشی	40.0	60.00	NaN	5.07	NaN	4.43	NaN	6.30	NaN	22.52	NaN
کاهو وحشی	60.0	40.00	NaN	3.13	NaN	2.07	NaN	3.68	NaN	19.07	NaN
کاهو وحشی	80.0	20.00	NaN	1.00	NaN	1.00	NaN	1.00	NaN	10.00	NaN
کاهو وحشی	100.0	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN	0.00	NaN

Next, we will perform ANOVA to analyze significant differences between treatments.

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It seems there was a syntax error in the previous code cell. The issue was caused by the use of f-strings in the formula string for the OLS model. Let's correct this by using the format method instead.