Adding row to a new dataset

A common task in data manipulation!

To add a row to a new dataset, you can use various methods depending on the programming language and library you're using. Here are a few examples:

Python with Pandas

import pandas as pd

# create a new dataframe
df = pd.DataFrame(columns=['column1', 'column2'])

# add a new row
new_row = {'column1': 'value1', 'column2': 'value2'}
df = df.append(new_row, ignore_index=True)

print(df)

R with dplyr

library(dplyr)

# create a new dataframe
df <- data.frame(column1 = character(), column2 = character())

# add a new row
new_row <- data.frame(column1 = "value1", column2 = "value2")
df <- rbind(df, new_row)

print(df)

SQL

CREATE TABLE new_table (
  column1 VARCHAR(255),
  column2 VARCHAR(255)
);

INSERT INTO new_table (column1, column2) VALUES ('value1', 'value2');

JavaScript with D3.js

var data = [];
data.push({column1: 'value1', column2: 'value2'});

Julia with DataFrames

using DataFrames

# create a new dataframe
df = DataFrame()

# add a new row
new_row = DataFrame(column1 = "value1", column2 = "value2")
push!(df, new_row)

println(df)

These are just a few examples of how you can add a row to a new dataset. The specific method will depend on the language and library you're using.