Interpolated: meaning, definitions and examples
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interpolated
[ ɪnˈtɜːr.pə.leɪtɪd ]
data analysis
Interpolated is the past tense of interpolate, which refers to the process of estimating unknown values that fall within the range of a discrete set of known values. This method is often used in mathematics and statistics to create new data points from existing data points. Interpolation can be applied in various fields including science, engineering, and computer graphics. By using interpolation, one can achieve smoother transitions between values and make predictions based on existing data points.
Synonyms
estimate, extrapolate, inferred
Examples of usage
- The temperature readings were interpolated for the missing hours.
- She interpolated the missing data points in her research.
- The software interpolates the image for better quality.
- They interpolated the sound frequencies for a clearer audio output.
Translations
Translations of the word "interpolated" in other languages:
🇵🇹 interpolado
🇮🇳 इंटरपोलेटेड
🇩🇪 interpoliert
🇮🇩 diinterpolasi
🇺🇦 інтерпольований
🇵🇱 interpolowany
🇯🇵 補間された
🇫🇷 interpolé
🇪🇸 interpolado
🇹🇷 interpolasyon yapılmış
🇰🇷 보간된
🇸🇦 مُتَداخِل
🇨🇿 interpolovaný
🇸🇰 interpolovaný
🇨🇳 插值的
🇸🇮 interpoliran
🇮🇸 millist
🇰🇿 интерполяцияланған
🇬🇪 ინტერპოლირებული
🇦🇿 interpolə edilmiş
🇲🇽 interpolado
Etymology
The word 'interpolated' is derived from the Latin root 'interpolare', which means 'to smooth over' or 'to insert'. The prefix 'inter-' means 'between', while 'polare' is related to 'polire', which means 'to smooth or polish'. The term began to be used in the context of mathematics in the 19th century, particularly in relation to mathematical methods for estimating unknown values. Over time, it has been adopted in various scientific disciplines, and the usage of the term expanded to include techniques in computer graphics and data analysis. Today, interpolation has become a crucial component in data science, allowing for the creation of models that predict trends and make estimations from existing datasets.