Intelligencer1 month agoData scienceTrump-vs.-Biden Polls: Don't Be Fooled by Outliers!Polls can be outliers and should be considered alongside other data points for a more accurate analysis. [ more ]
DATAVERSITY5 months agoData scienceFour Perspectives on the Art of Data Analytics - DATAVERSITYOutliers in data can provide unique insights, emerging trends, and valuable niches. Understanding outliers can lead to innovation, new market opportunities, and risk recognition. [ more ]
DATAVERSITY5 months agoData scienceFour Perspectives on the Art of Data Analytics - DATAVERSITYOutliers in data can provide unique insights, emerging trends, and valuable niches. Understanding outliers can lead to innovation, new market opportunities, and risk recognition. [ more ]
DATAVERSITY5 months agoData scienceFour Perspectives on the Art of Data Analytics - DATAVERSITYOutliers in data can provide unique insights, emerging trends, and valuable niches. Understanding outliers can lead to innovation, new market opportunities, and risk recognition. [ more ]
DATAVERSITY5 months agoData scienceFour Perspectives on the Art of Data Analytics - DATAVERSITYOutliers in data can provide unique insights, emerging trends, and valuable niches. Understanding outliers can lead to innovation, new market opportunities, and risk recognition. [ more ]
DATAVERSITY5 months agoBusiness intelligenceFour Perspectives on the Art of Data Analytics - DATAVERSITYOutliers in data can provide unique insights, emerging trends, and valuable niches. Understanding outliers can lead to innovation, new market opportunities, and risk recognition. [ more ]
TechBeamers6 months agoData science44 Python Data Analyst Interview QuestionsReading data from a CSV file in Python using pandas Difference between lists and NumPy arrays in Python Handling missing values in a Pandas data frame Using lambda functions in Python Installing external libraries in Python using pip Handling categorical data in a Pandas data frame Purpose of the matplotlib library in Python Using the groupby function in Pandas Handling outliers in a dataset [ more ]
TechBeamers6 months agoPython44 Python Data Analyst Interview QuestionsReading data from a CSV file in Python using pandas Difference between lists and NumPy arrays in Python Handling missing values in a Pandas data frame Using lambda functions in Python Installing external libraries in Python using pip Handling categorical data in a Pandas data frame Purpose of the matplotlib library in Python Using the groupby function in Pandas Handling outliers in a dataset [ more ]
TechBeamers6 months agoData science44 Python Data Analyst Interview QuestionsReading data from a CSV file in Python using pandas Difference between lists and NumPy arrays in Python Handling missing values in a Pandas data frame Using lambda functions in Python Installing external libraries in Python using pip Handling categorical data in a Pandas data frame Purpose of the matplotlib library in Python Using the groupby function in Pandas Handling outliers in a dataset [ more ]