Global CCI data by Country+Date keys, optimized for Machine learning tasks | Sample | 20+ years of history

This dataset provides the Consumer Confidence Index* (CCI) for all countries worldwide for 2022**, updated daily. It includes the CCI value for specific dates and with certain shifts (e.g., 1 month, 6 months, etc.).

This data product has been optimized specifically for machine learning and prediction tasks, such as demand forecasting and customers behavioural analytics. It includes pre-calculated machine learning features that are ready to use.

🔎 Simple Drag & Drop Streamlit App to find relevant data listings & fields for your ML task: https://upgini.com/upgini-widget

Fields Included:
- Country Code
- Date
- CCI value
- CCI value with 1 month shift
- CCI value with 6 months shift
- CCI value with 12 months shift
- Difference between CCI value and CCI value with 1 month shift
- Difference between CCI value and CCI value with 6 months shift
- Difference between CCI value and CCI value with 12 months shift
- Ratio CCI value to CCI value with 1 month shift
- Ratio CCI value to CCI value with 6 months shift
- Ratio CCI value to CCI value with 12 months shift

* The Consumer Confidence Index (CCI) provides an indication of future developments of households’ consumption and saving, based upon answers regarding their expected financial situation, their sentiment about the general economic situation, unemployment and capability of savings. An indicator above 100 signals a boost in the consumers’ confidence towards the future economic situation, as a consequence of which they are less prone to save, and more inclined to spend money on major purchases in the next 12 months. Values below 100 indicate a pessimistic attitude towards future developments in the economy, possibly resulting in a tendency to save more and consume less.

** To access the data from 2000 to the present, use the Upgini data search engine.

搜集汇总

背景与挑战

背景概述

该数据集提供全球各国20多年的消费者信心指数(CCI)数据，已针对机器学习任务进行优化，包含日期、国家代码、不同时间偏移的CCI值及其衍生特征。这些预计算特征可直接用于需求预测和用户行为分析等预测任务。