Exploratory
  • Introduction
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    • Write R Script as Data (日本語)
    • Web Page Scraping
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    • Create Custom Data Source
  • Data Wrangling
    • Command Line mode for faster and more flexible data interaction in Exploratory
    • Select / Remove Columns
    • Reorder Columns
    • Create New Calculation
    • Create New Calculation for Multiple Columns
    • Summarize (Aggregate)
    • Group
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    • Fill
    • Create Buckets
    • Assign New Values to Existing Values - Recode
    • Assign New Values by Setting Conditions - Case When
    • Work with Categories
    • Data Type Conversion
    • Row as header
    • Ungroup
    • Unnest
    • Separate List Items into Columns (Unnest Wider)
    • Separate List Items into Rows (Unnest Longer)
    • Separate Address (Japan)
    • Hoist
    • Remove Empty Rows
    • Remove Empty Columns
    • Clean Column Names
    • Window Calculation
    • Window Calculation (日本語)
    • Add Row
    • Text Wrangling
    • Regular Expression Cheat Sheet
    • Regular Expression Cheat Sheet (日本語)
  • Visualization
    • Types
      • Pivot
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      • Table
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      • Map - Standard
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      • Word Cloud (日本語)
    • Features
      • Trend Line
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      • Window Calculation
      • Date/Time Aggregation
      • Show Range
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      • Multiple Y-Axis Columns
      • Layout Configuration
      • Column Configuration
      • Column Configuration Dialog
      • Color and Group Setting
      • Color and Group Setting (日本語)
      • Color Setting
      • User Color Palette Setting
      • Pin
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      • Save as Exploratory Data File
      • Share/Schedule
      • URL Link
      • Category (Binning)
      • Highlight
      • Limit Values
      • 'Others' Group
      • Edit Display Name
      • Missing Value Handling
      • Rename Column Names
      • Axis Setting
      • Axis Formatting
      • Show Detail
      • Fit to Screen (Table)
      • Number of Unique Values Check
      • Number of Unique Values Check (日本語)
  • Analytics
    • Correlation
    • Distance
    • K-Means Clustering
    • Principal Component Analysis
    • Factor Analysis
    • Correspondence Analysis
    • Linear Regression Analysis
    • Logistic Regression Analysis
    • Generalized Linear Models
    • Survival Curve
    • Cox Regression
    • Random Survival Forest
    • Decision Tree
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    • XGBoost
    • Time Series Forecasting (Prophet)
    • Time Series Forecasting (ARIMA)
    • Time Series Clustering
    • Anomaly Detection
    • Word Count
    • Text Clustering with Topic Model (LDA)
    • Market Basket Analysis
    • T Test
    • T Test (Aggregated Data)
    • ANOVA
    • Wilcoxon Test
    • Kruskal-Wallis Test
    • Chi-Square Test
    • A/B Test
    • Normality Test
    • Prediction
    • Dictionaries for Text Analysis
  • Statistics
    • Correlation
    • Distance
    • Cosine Similarity
    • SVD
    • Multi Dimensional Scaling
    • T-test
    • F-test
    • Chi-square test
    • A/B Test (Bayesian)
  • Machine Learning
    • Linear Regression
    • Logistic Regression
    • GLM
    • Multinomial Logistic Regression
    • K-means Clustering
    • Random Forest
    • XGBoost
    • Forecasting
    • Time Series Clustering
    • Anomaly Detection
    • Survival Curve
    • Survival Model (Cox Regression)
    • Market Basket
    • Causal Impact
    • Evaluate Prediction - Regression
    • Evaluate Prediction - Binary
    • Calculate ROC
    • Evaluate Prediction - Multiclass
    • Prediction
    • Prediction - Binary Classification
    • Prediction - Survival Model
    • Simulate Survival Curve
    • Extract Summary of Fit
    • Extract Parameter Estimates
    • Run ANOVA Test
    • Fix Imbalanced Data (SMOTE)
  • Text Analysis
    • Tokenize Text
    • Create N-gram Tokens
    • Calculate tf-idf
    • Count Text Pairs
  • Extend with R
    • R Package Install
    • Custom R Script
    • Custom Model Function
  • Setup
    • Disable McAfee virus scan
    • Change Repository Location
    • Change Repository Location (日本語)
    • Holidays Data for Forecast
    • Possible Reasons for Install Error
    • Upgrade Microsoft .NET Framework
  • Diagnostics
    • Log file for debugging
    • Log file for debugging (日本語)
    • Startup Log file for debugging
    • Startup Log file for debugging (日本語)
    • Check version of Exploratory Desktop
    • How to Recover the History Data
  • Keyboard shortcuts
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On this page
  • How to Access This Feature
  • From + (plus) Button
  • Use a row as column names

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  1. Data Wrangling

Row as header

PreviousData Type ConversionNextUngroup

Last updated 3 years ago

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Use a row as column names.

How to Access This Feature

From + (plus) Button

  • Click "+" button and select "Other" - > "Convert ... to NA for All Columns"

Use a row as column names

  1. Row Index (Optional) - The default is 1. Index of a row to use as column names.

  2. Prefix for New Column Names - The default is "". Prefix for the new column names.

  3. Clean New Column Names - The default is TRUE. If TRUE, column names are cleaned by only underscore, lowercase letters, and numbers (same logic as clean_names from janitor package).