How to use ChatGPT for Technical Analyst Job Role

python

   import pandas as pd
   df = pd.read_csv('path_to_file.csv')
   

R

   library(readr)
   df <- read_csv('path_to_file.csv')
   

python

   print(df.head())
   print(df.dtypes)
   

R

   head(df)
   str(df)
   

python

   df.fillna(df.mean(), inplace=True)  # Filling missing values with mean
   

R

   df[is.na(df)] <- mean(df, na.rm = TRUE)  # Filling missing values with mean
   

python

   df.drop_duplicates(inplace=True)
   

R

   df <- df[!duplicated(df), ]
   

python

   df['date_column'] = pd.to_datetime(df['date_column'])  # Standardizing date format
   

R

   df$date_column <- as.Date(df$date_column, format='%Y-%m-%d')  # Standardizing date format
   

python

   import seaborn as sns
   sns.boxplot(x=df['numeric_column'])  # Visualizing outliers
   

R

   boxplot(df$numeric_column)  # Visualizing outliers
   

python

   print(df.info())
   

R

   str(df)
   

python

   print(df.head())
   

python

   print(df.columns)
   

python

   print('Before operation X')
   # Your operation here
   print('After operation X')