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I’m working with a time-series dataset where each record is supposed to be logged at 1-minute intervals. However, due to data quality issues, the dataset contains: duplicated timestamps missing ...
Kinjal Radadiya's user avatar
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0 answers
79 views

Problem Description I'm working on a time series dataset of sensor readings collected every 5 minutes over 3 months. The dataset has approximately 15% missing values scattered throughout, but some ...
Vijay Savaliya's user avatar
1 vote
2 answers
95 views

I am trying to interpolate data in a time series where I have data for the variable every four years and an annual data of an indicator variable. My goal is that the movement of the indicator is ...
Simon's user avatar
  • 21
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1 answer
34 views

I have a base table A and a result table B in DolphinDB. Table B was initially empty and is used to store calculated results based on table A. When trying to insert the calculated results into table B,...
RORO's user avatar
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1 vote
0 answers
121 views

I’m using GridDB Cloud (Free) with the Python client, and I need to write a batch of rows to a TimeSeries container atomically (all-or-nothing). I'm having trouble figuring out how to turn autocommit ...
Badhon Ashfaq's user avatar
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1 answer
76 views

I am using DolphinDB version 3.00.0.6 and have two in-memory tables A and B. I need the equivalent of a Non-Equi Join with strict inequality (A.date > B.date) to find the latest record in B that is ...
Andy's user avatar
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0 answers
70 views

I’m on GridDB Cloud (Free). For a TimeSeries container, I want each device to have at most one row per timestamp, i.e., enforce uniqueness on (ts, deviceid). Schema: CREATE TABLE TSDB ( ts TIMESTAMP ...
Badhon Ashfaq's user avatar
4 votes
1 answer
136 views

I'm using GridDB TimeSeries and need, for a given time range, the latest row per deviceid (i.e., top-1 by timestamp within each device), returned in one query. Expected output (example for two devices ...
Badhon Ashfaq's user avatar
4 votes
0 answers
137 views

I’m storing IoT readings in a GridDB container and need one row per hour with the true average of the points that actually fall inside each hour (not interpolated values): ts_bucket ...
Badhon Ashfaq's user avatar
0 votes
0 answers
42 views

I’m trying to build a generic auto‑ARIMA pipeline that works on many different time‑series datasets. The main difficulty is getting the algorithm to automatically detect the optimal seasonal period (m)...
CSe's user avatar
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1 vote
2 answers
110 views

Time series data to measure employment from United States Bureau of Labor Statistics (first ten rows shown): > Time_Series # A tsibble: 115 x 8 [1M] year month value Year Month Date1 ...
Russ Conte's user avatar
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83 views

I have questions about using XGBoost for the Time Series Forecasting problem. According to these articles: Multi-step time series forecasting with XGBoost | Towards Data Science XGBoost for Multi-...
Coleman YU's user avatar
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129 views

Environment Information Apache IoTDB 1.3.1(1C1D, standalone) JDK 17 CentOS 7 My scenario: Create a time-series with SQL: CREATE TIMESERIES root.gn.ZS.JYJ.TJB_2.YX.val WITH DATATYPE=TEXT, ENCODING=...
user27323756's user avatar
4 votes
2 answers
279 views

I'm encountering the error at the bottom when I try to run the following auto_arima function from the pmdarima package in Google Colab: !pip install pmdarima # Import the auto_arima function from ...
amlk's user avatar
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1 vote
0 answers
63 views

I'm working with time series data where I need to identify distinct segments without prior knowledge of how many segments exist. The data looks like: I've tried the claspy and ruptures packages, but ...
youtube's user avatar
  • 514
4 votes
1 answer
108 views

I have a basic "regression with ARIMA errors" model. It has only two coefficients: one for the covariate and one for an AR1 term. My client wants me to code the model in Excel (groan). I ...
Arthur's user avatar
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2 votes
2 answers
89 views

I want simple wrapped timeseries plots that colour code weekday/weekend line segments. Here's a reproducible example: require(tidyverse) set.seed(42) # toy hourly dataset with daily and weekly ...
geotheory's user avatar
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0 votes
0 answers
25 views

I'm fitting a time series model that involves a latent variable Y_neg. Since my outcome Y_negctrl_star is count data and its value is pretty large (as large as 3000), I cannot use the standard forward ...
Chinyako's user avatar
2 votes
1 answer
55 views

I have a dataset with multiple observations per subject over time. The dates for the first and last observation per individual are different across the dataset, but for each individual there is only ...
Ariel Mundo's user avatar
0 votes
1 answer
102 views

I have a sensor_status table that logs the status of hundreds of sensors every 45 minutes CREATE TABLE sensor_status ( status_id INT AUTO_INCREMENT PRIMARY KEY, sensor_id INT NOT NULL, status ...
raryar's user avatar
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1 vote
0 answers
29 views

I'm testing GridDB Community Edition 5.3 (Linux container via Docker Desktop on macOS 14.4, Apple M1). When I insert rows with millisecond timestamps into a time-series container, and query using a ...
Panuganti Jayanth Kumar's user avatar
1 vote
0 answers
70 views

I’m replicating Shapiro & Watson (1988) and need to impose the long-run restriction with a Givens rotation. The target identity is C_inf@B=C_inf(P@Q_total)=(C_inf@P)@Q_total=A@Q_total Yet my code ...
samuele ridolfi's user avatar
0 votes
1 answer
55 views

I have very limited knowledge of pandas. The data I'm using covers 2 dst (daylight saving) transitions for the UK (from 1 Sep 24 to 30 Apr 25), and consist of timestamps in milliseconds with values. ...
iss42's user avatar
  • 2,866
4 votes
2 answers
106 views

How can I create a new column in SQL (on Snowflake) where it counts the previous occurrences of an ID value for a time series. Should go something like this: Input Data | Date | ID | | ------...
NOOBNOOB's user avatar
0 votes
1 answer
55 views

I am using the following code to forecast electricity price up to 180 days ahead: far2_xreg <- function(x, h, xreg, newxreg) { forecast(nnetar(x, xreg=xreg, p=7, size=5, repeats=5), xreg=newxreg, ...
Shwan's user avatar
  • 1

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