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Which plants are better for bees: native or non-native?

๐Ÿ“– Background

You work for the local government environment agency and have taken on a project about creating pollinator bee-friendly spaces. You can use both native and non-native plants to create these spaces and therefore need to ensure that you use the correct plants to optimize the environment for these bees.

The team has collected data on native and non-native plants and their effects on pollinator bees. Your task will be to analyze this data and provide recommendations on which plants create an optimized environment for pollinator bees.

๐Ÿ’พ The Data

You have assembled information on the plants and bees research in a file called plants_and_bees.csv. Each row represents a sample that was taken from a patch of land where the plant species were being studied.

ColumnDescription
sample_idThe ID number of the sample taken.
species_numThe number of different bee species in the sample.
dateDate the sample was taken.
seasonSeason during sample collection ("early.season" or "late.season").
siteName of collection site.
native_or_nonWhether the sample was from a native or non-native plant.
samplingThe sampling method.
plant_speciesThe name of the plant species the sample was taken from. None indicates the sample was taken from the air.
timeThe time the sample was taken.
bee_speciesThe bee species in the sample.
sexThe gender of the bee species.
specialized_onThe plant genus the bee species preferred.
parasiticWhether or not the bee is parasitic (0:no, 1:yes).
nestingThe bees nesting method.
statusThe status of the bee species.
nonnative_beeWhether the bee species is native or not (0:no, 1:yes).

Source (data has been modified)

๐Ÿ’ช Challenge

Provide your agency with a report that covers the following:

  • Which plants are preferred by native vs non-native bee species?
  • A visualization of the distribution of bee and plant species across one of the samples.
  • Select the top three plant species you would recommend to the agency to support native bees.
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
data = pd.read_csv("data/plants_and_bees.csv")
data

To begin data cleaning, I will farmiliarize my self with the data

# this will give the information about the dataset, the data tpye and nulls
data.info()

The information above shows that:

  • date is enter as string (object)
  • time is entered as int
  • the specification_on and status is almost empty
  • parasitic, nesting aand nonnative_bee has missing values
# this will show the statistics of the numeric data type present in the dataset
data.describe()
# checking foe nulls
data.isnull().sum()

For easier identification of fields, i will change two columns names

  • native_or_non to plant_type
  • nonnative_bee to bee_type
# change column names to suits analysis.

data.rename(columns={'native_or_non':'plant_type','nonnative_bee':'bee_type'}, inplace=True)
# Previewing the new columns
data.columns

Getting the unique values of some relevant columns

  • this is to help eliminate any mis-spelt value
data.sex.unique()
data.plant_species.unique()
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