User Guide

User Guide

These pages guide you on what data we provide in EconData, and how to access it. In our dataflow docs, we outline hierarchies present in the data, in order to help you understand the datasets. We also outline the dataflow IDs, and codes used in the series keys, to facilitate programmatic analysis.

  1. Installation
  2. Available Data (detailed list)
  3. Learning R Programming
  4. StatsSA
    1. Primary Sector Mining
    2. Secondary Sector Electricity, Manufacturing
    3. Judiciary Civil Cases, Liquidations
    4. Price Indicies (Inflation) CPI, PPI
    5. Travel Transport, Tourism
    6. Trade Cars, Retail, Wholesale
    7. Human Capital Population, QLFS
  5. Public Accounting
    1. National Treasury South African Budgets
    2. StatsSA National and Regional Accounts
  6. South African Reserve Bank (SARB)
    1. Banking Sector Data Prudential Regulatory Reporting
    2. Data by sector External, Financial, Fiscal, National Accounts
    3. Indicators Business Cycles, Other Macroeconomic Indicators
    4. Rates CPD Interest Rates, Market Rates
    5. Quarterly Bulletin
  7. ASISA
    1. Collective Investment Schemes Local Fund Holdings & Flows

Registry

We have mirrored the most important data structures in our Registry in this User Guide, to aid user experience. The pages here are static, but are publicly accessible, also with URLs referencing particular pages, and may offer a better overview than the navigation in our EconData web app does.

However, please refer to the web app as the current source of information for our database. All the dataflows, vintages, available series and metadata are available in the app. The app also shows data previews, simple plots, handles filters, and offers data export options via R code, or in .xlsx, .ods, .csv, .html or .txt format.

Locating the metadata from R

Alternatively, using R you could access the relevant metadata with

library(econdatar)
data_raw <- read_dataset(id = "DATASET_ID",
                         tidy = TRUE,
                         wide = FALSE,
                         compact = FALSE)
str(data_raw)

replacing DATASET_ID with the dataset ID code. This will give you a data table in the first list item, separate to the metadata table in the second list item, where the series_key is the primary key.