Exploring Mushrooms

byte7345305615 · October 3, 2021, 1:30pm

Hi,

just finished the small project to show the bar charts for a dataset on Mushrooms. You can find it here:
Git Hub Link

Happy coding!

yunies · December 10, 2021, 12:17pm

Halo,
this is my mushroom project, I have done the extension too.
any feedback or suggestions are appreciated.
thank you

github.com

Shippo2017/Codecademy_Challenge_Project/blob/main/Python/Learn_Statistic_with_Python/Exploring Mushrooms-Project/mushroom.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "18e8280f",
   "metadata": {},
   "source": [
    "# Exploring Mushrooms\n",
    "When asked to think of a mushroom, you might imagine the following:\n",
    "- It’s a beige, convex mushroom top with a uniform, thick stem. \n",
    "- Maybe you thought of it cut up on a slice of delicious pizza or braised with sauce over rice. \n",
    "\n",
    "Regardless, you most likely did not consider this:\n",
    "- Mushrooms exist in a variety of different colors, shapes, sizes, textures, etc. \n",
    "\n",
    "### Project Goal\n",
    "In this project, you will analyze an extensive mushroom dataset from [UCI](https://archive.ics.uci.edu/ml/datasets/Mushroom) using bar charts and acquaint yourself with the diverse array of mushrooms that exist worldwide."
   ]
  },
  {

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leslie.wonggg · April 8, 2022, 6:27pm

Hi guys,

Just wanted to add this here in case anyone wanted to take a look:

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import codecademylib3

# load in the data
df = pd.read_csv("mushroom_data.csv")
print(df.head())

# list of all column headers
columns = df.columns.tolist()

# added conditional statement for columns that could be turned into pie charts
for column in columns:
  if df[column].nunique() < 6:
    plt.pie(df[column].value_counts(), labels = df[column].value_counts().index)
    plt.axis("equal")
    plt.show()
    plt.clf()
  else:
    sns.countplot(df[column], order = df[column].value_counts().index)
    plt.title(f" {column} Value Counts")
    plt.xticks(rotation=30, fontsize=10)
    plt.xlabel(column, fontsize=12)
    plt.show()
    plt.clf()

If anyone has any feedback or can help improve my code please let me know!